US20220177974A1 - Genetic signatures to predict prostate cancer metastasis and identify tumor aggressiveness - Google Patents

Genetic signatures to predict prostate cancer metastasis and identify tumor aggressiveness Download PDF

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US20220177974A1
US20220177974A1 US17/390,674 US202117390674A US2022177974A1 US 20220177974 A1 US20220177974 A1 US 20220177974A1 US 202117390674 A US202117390674 A US 202117390674A US 2022177974 A1 US2022177974 A1 US 2022177974A1
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cancer
targets
target
classifier
target sequences
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Elai Davicioni
Nicholas Erho
Hussam Al-Deen Ashab
Mohammed Alshalalfa
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Veracyte Inc
Veracyte SD Inc
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GenomeDx Biosciences Inc
Veracyte SD Inc
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    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • C12Q1/6886Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/574Immunoassay; Biospecific binding assay; Materials therefor for cancer
    • G01N33/57407Specifically defined cancers
    • G01N33/57434Specifically defined cancers of prostate
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/112Disease subtyping, staging or classification
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/118Prognosis of disease development
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/158Expression markers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/52Predicting or monitoring the response to treatment, e.g. for selection of therapy based on assay results in personalised medicine; Prognosis

Definitions

  • the present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of cancer progression of prostate cancer in a subject.
  • the invention also provides clinically useful genomic classifiers for predicting prostate cancer metastasis and identifying tumor aggressiveness.
  • the methods, systems and kits can provide expression-based analysis of biomarkers for purposes of predicting metastatic disease and lethal prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in predicting prostate cancer metastasis in a subject. Classifiers for predicting prostate cancer metastasis are provided. Methods of treating cancer based on tumor aggressiveness are also provided. The methods and classifiers of the present invention are also useful for predicting early prostate cancer metastasis.
  • Cancer is the uncontrolled growth of abnormal cells anywhere in a body.
  • the abnormal cells are termed cancer cells, malignant cells, or tumor cells.
  • Many cancers and the abnormal cells that compose the cancer tissue are further identified by the name of the tissue that the abnormal cells originated from (for example, prostate cancer).
  • Cancer cells can proliferate uncontrollably and form a mass of cancer cells. Cancer cells can break away from this original mass of cells, travel through the blood and lymph systems, and lodge in other organs where they can again repeat the uncontrolled growth cycle. This process of cancer cells leaving an area and growing in another body area is often termed metastatic spread or metastatic disease. For example, if prostate cancer cells spread to a bone (or anywhere else), it can mean that the individual has metastatic prostate cancer.
  • Standard clinical parameters such as tumor size, grade, lymph node involvement and tumor-node-metastasis (TNM) staging (American Joint Committee on Cancer http://www.cancerstaging.org) may correlate with outcome and serve to stratify patients with respect to (neo)adjuvant chemotherapy, immunotherapy, antibody therapy and/or radiotherapy regimens.
  • Incorporation of molecular markers in clinical practice may define tumor subtypes that are more likely to respond to targeted therapy. However, stage-matched tumors grouped by histological or molecular subtypes may respond differently to the same treatment regimen. Additional key genetic and epigenetic alterations may exist with important etiological contributions.
  • TEE tumor microenvironment
  • the invention also provides biomarkers that identify aggressive prostate cancer, clinically useful classifiers for predicting prostate cancer metastasis, bioinformatic methods for determining clinically useful classifiers, and methods of use of each of the foregoing.
  • the methods, systems and kits can provide expression-based analysis of biomarkers for purposes of predicting prostate cancer metastasis in a subject. Further disclosed herein, in certain instances, are probe sets for use in predicting prostate cancer metastasis in a subject. Classifiers for predicting prostate cancer metastasis are provided. Methods of treating cancer based on tumor aggressiveness are also provided. The methods and classifiers of the present invention are also useful for predicting early prostate cancer metastasis.
  • the present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of cancer progression of cancer in a subject.
  • the invention also provides biomarkers that define subgroups of prostate cancer, clinically useful classifiers for predicting prostate cancer aggressiveness and metastasis, bioinformatic methods for determining clinically useful classifiers, and methods of use of each of the foregoing.
  • the methods, systems and kits can provide expression-based analysis of biomarkers for purposes of prognosing and diagnosing prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in prognosing and diagnosing prostate cancer in a subject. Classifiers for prognosing and diagnosing a prostate cancer are provided. Methods of treating cancer based on prognosis and/or diagnosis according to the present invention are also provided.
  • the present invention provides a method comprising: obtaining a biological sample from a subject; and detecting the presence or assaying an expression level in the sample from the subject for a plurality of target sequences, wherein the plurality of target sequences is selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of target sequences comprises a coding and/or non-coding target.
  • the coding target is an exonic sequence.
  • non-coding target comprises an intronic sequence, partially overlaps an intronic sequence, a sequence within the UTR or partially overlaps with a UTR sequence.
  • the plurality of target sequences comprises a nucleic acid sequence.
  • the nucleic acid sequence is a DNA sequence or an RNA sequence.
  • the plurality of target sequences comprises at least 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55 or 60 target sequences selected from Table 1 or SEQ ID NOs: 1-1815.
  • the subject has cancer.
  • the cancer is selected from the group consisting of skin cancer, lung cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, thyroid cancer, ovarian cancer, uterine cancer, breast cancer, cervical cancer, kidney cancer, epithelial carcinoma, squamous carcinoma, basal cell carcinoma, melanoma, papilloma, and adenomas.
  • the cancer is prostate cancer.
  • the methods further comprise administering a treatment to the subject.
  • the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, and photodynamic therapy.
  • the biological sample is a biopsy.
  • the biological sample is a urine sample, a blood sample or a prostate tumor sample.
  • the blood sample is plasma, serum, or whole blood.
  • the subject is a human.
  • the present invention provides methods of diagnosing, prognosing and determining cancer progression of cancer in a subject comprising obtaining a biological sample from a subject; and detecting the presence or assaying an expression level in the sample from the subject for a plurality of target sequences, wherein the plurality of target sequences is selected from Table 1 or SEQ ID NOs: 1-1815, thereby diagnosing, prognosing and determining cancer progression of cancer in the subject.
  • the plurality of target sequences comprises a coding and/or non-coding target.
  • the coding target is an exonic sequence.
  • non-coding target comprises an intronic sequence, partially overlaps an intronic sequence, a sequence within the UTR or partially overlaps with a UTR sequence.
  • the plurality of target sequences comprises a nucleic acid sequence.
  • the nucleic acid sequence is a DNA sequence or an RNA sequence.
  • the plurality of target sequences comprises at least 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55 or 60 target sequences selected from Table 1 or SEQ ID NOs: 1-1815.
  • the subject has cancer.
  • the cancer is selected from the group consisting of skin cancer, lung cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, thyroid cancer, ovarian cancer, uterine cancer, breast cancer, cervical cancer, kidney cancer, epithelial carcinoma, squamous carcinoma, basal cell carcinoma, melanoma, papilloma, and adenomas.
  • the cancer is prostate cancer.
  • the methods further comprise administering a treatment to the subject.
  • the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, and photodynamic therapy.
  • the biological sample is a biopsy.
  • the biological sample is a urine sample, a blood sample or a prostate tumor sample.
  • the blood sample is plasma, serum, or whole blood.
  • the subject is a human.
  • the present invention provides methods of determining a treatment regimen for a subject having cancer comprising: obtaining a biological sample from a subject having cancer; assaying an expression level in a sample from the subject for a plurality of target sequences, wherein the plurality of target sequences is selected from Table 1 or SEQ ID NOs: 1-1815; and determining the treatment regimen for the subject.
  • the expression level is increased or reduced compared to a control.
  • the assaying an expression level comprises performing in situ hybridization, a PCR-based method, an array-based method, an immunohistochemical method, an RNA assay method, or an immunoassay method.
  • the assaying an expression level comprises using a reagent selected from the group consisting of a nucleic acid probe, one or more nucleic acid primers, and an antibody.
  • the assaying an expression level comprises assaying the level of an RNA transcript.
  • the method further comprises administering at least one cancer treatment selected from the group consisting of surgery, radiation therapy, immunotherapy, biological therapy, neoadjuvant chemotherapy, and photodynamic therapy after androgen deprivation therapy.
  • kits for predicting cancer aggressiveness or risk of metastasis comprising agents for assaying an expression level of a plurality of genes, wherein said plurality of genes comprises one or more genes selected from Table 1 or SEQ ID NOs: 1-1815.
  • the kit comprises agents for assaying an expression level of the genes listed in Table 1.
  • the agents comprise reagents for performing in situ hybridization, a PCR-based method, an array-based method, an immunohistochemical method, an RNA assay method, or an immunoassay method.
  • the agents comprise one or more of a microarray, a nucleic acid probe, a nucleic acid primer, or an antibody.
  • the kit comprises at least one set of PCR primers capable of amplifying a nucleic acid comprising a sequence of a gene selected from Table 1 or its complement. In other embodiments, the kit comprises at least one probe capable of hybridizing to a nucleic acid comprising a sequence of a gene selected from Table 1 or its complement. In yet other embodiments, the kits further comprise one or more control reference samples.
  • the present invention provides a probe set for prognosing or diagnosing cancer in a subject, the probe set comprising a plurality of probes for detecting a plurality of target nucleic acids, wherein the plurality of target nucleic acids comprises one or more gene sequences, or complements thereof, of genes selected from Table 1.
  • at least one probe is detectably labeled.
  • the present invention provides methods for treating a subject with cancer, the method comprising: a) obtaining a biological sample from a subject having cancer; b) detecting the presence or assaying the expression level in the biological sample for a plurality of targets selected from Table 1 or SEQ ID NOs: 1-1815; and c) administering a treatment to the subject.
  • the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy, biological therapy, hormonal therapy, and photodynamic therapy.
  • the cancer is prostate cancer.
  • the present invention provides a method comprising: a) obtaining a biological sample from a subject; and b) detecting the presence or assaying the expression level in the biological sample for a plurality of targets selected from the group consisting of AC020571.3, ANO7, ARL6IP1P2, ASPN, AZGP1, AZGP1P1, DEGS1, ERO1LB, FBXL8, FMOS, FTH1P2, FTH1P8, GLB1L2, GLB1L3, GLYATL1P3, GMNN, HIF3A, INHBA, KIAA1210, KRT15, LIPH, LPAR3, LPGAT1, MIR4435-1HG, MKI67, MLLT11, MYBPC1, NADK2, NR4A1, NUSAP1, OR51A6P, PABPC1, PART1, PCAT14, PGM5P4-AS1, PICK1, PTTG1, R3HDM1, RNA5SP121, RP11-121G22.3 RP
  • the plurality of target sequences comprises a coding and/or non-coding target. In some embodiments, the plurality of target sequences comprises a coding and/or non-coding target. In other embodiments, the coding target is an exonic sequence. In yet other embodiments, non-coding target comprises an intronic sequence, partially overlaps an intronic sequence, a sequence within the UTR or partially overlaps with a UTR sequence. In other embodiments, the plurality of target sequences comprises a nucleic acid sequence. In still other embodiments, the nucleic acid sequence is a DNA sequence or an RNA sequence.
  • the plurality of target sequences comprises at least 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55 or 60 target sequences selected from Table 1 or SEQ ID NOs: 1-1815.
  • the subject has cancer.
  • the cancer is selected from the group consisting of skin cancer, lung cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, thyroid cancer, ovarian cancer, uterine cancer, breast cancer, cervical cancer, kidney cancer, epithelial carcinoma, squamous carcinoma, basal cell carcinoma, melanoma, papilloma, and adenomas.
  • the cancer is prostate cancer.
  • the methods further comprise administering a treatment to the subject.
  • the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, and photodynamic therapy.
  • the biological sample is a biopsy.
  • the biological sample is a urine sample, a blood sample or a prostate tumor sample.
  • the blood sample is plasma, serum, or whole blood.
  • the subject is a human.
  • the plurality of targets may comprise one or more targets selected from ACO20571.3, ANO7, ARL6IP1P2, ASPN, AZGP1, AZGP1P1, DEGS1, ERO1LB, FBXL8, FMOS, FTH1P2, FTH1P8, GLB1L2, GLB1L3, GLYATL1P3, GMNN, HIF3A, INHBA, KIAA1210, KRT15, LIPH, LPAR3, LPGAT1, MIR4435-1HG, MKI67, MLLT11, MYBPC1, NADK2, NR4A1, NUSAP1, OR51A6P, PABPC1, PART1, PCAT14, PGMSP4-AS1, PICK1, PTTG1, R3HDM1, RNA5SP121, RP11-121G22.3 RP11-159H20.3, RP11-755011.2, RP11-770G2.5, RP11-923111.3, RP13-753N3.3, RPL31P57, SCIN,
  • the present invention provides a method comprising: a) obtaining a biological sample from a subject having prostate cancer and b) detecting the presence or expression level in the biological sample for a plurality of targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the method further comprises treating the prostate cancer in the subject according to a genomic classifier score based on the presence or expression levels of the plurality of targets.
  • the present invention also provides a method of diagnosing, prognosing, assessing the risk of recurrence or predicting benefit from therapy in a subject with prostate cancer, comprising: providing a biological sample comprising prostate cancer cells from the subject; assaying an expression level in the biological sample from the subject for a plurality of targets using at least one reagent that specifically binds to said targets, wherein the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; and diagnosing, prognosing, assessing the risk of recurrence or predicting benefit from therapy in the subject based on the expression levels of the plurality of targets.
  • the expression level of the target is reduced expression of the target.
  • the expression level of said target is increased expression of said target.
  • the level of expression of said target is determined by using a method selected from the group consisting of in situ hybridization, a PCR-based method, an array-based method, an immunohistochemical method, an RNA assay method and an immunoassay method.
  • the reagent is selected from the group consisting of a nucleic acid probe, one or more nucleic acid primers, and an antibody.
  • the target comprises a nucleic acid sequence.
  • the present invention provides a system for analyzing a cancer, comprising, a probe set comprising a plurality of target sequences, wherein the plurality of target sequences hybridizes to one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; or the plurality of target sequences comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; and a computer model or algorithm for analyzing an expression level and/or expression profile of the target hybridized to the probe in a sample from a subject suffering from prostate cancer.
  • the method further comprises a label that specifically binds to the target, the probe, or a combination thereof.
  • the present invention provides a method comprising: (a) providing a biological sample from a subject with prostate cancer; (b) detecting the presence or expression level in the biological sample for a plurality of targets, wherein the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; (c) generating a genomic classifier score based on the presence or expression levels of the plurality of targets; and (d) administering a treatment to the subject, wherein the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, hormonal therapy, and photodynamic therapy.
  • the present invention provides a method of treating a subject with prostate cancer, comprising: providing a biological sample comprising prostate cancer cells from the subject; determining the level of expression or amplification of at least one or more targets selected from Table 1 or SEQ ID NOs: 1-1815 using at least one reagent that specifically binds to said targets; generating a genomic classifier score based on the level of expression or amplification of the at least one or more targets; and prescribing a treatment regimen based on the genomic classifier score.
  • the present invention provides a kit for analyzing a prostate cancer, comprising, a probe set comprising a plurality of target sequences, wherein the plurality of target sequences comprises at least one target sequence listed in Table 1 or SEQ ID NOs: 1-1815; and a computer model or algorithm for analyzing an expression level and/or expression profile of the target sequences in a sample.
  • the method further comprises a computer model or algorithm for correlating the expression level or expression profile with disease state or outcome.
  • the method further comprises a computer model or algorithm for designating a treatment modality for the individual.
  • the method further comprises a computer model or algorithm for normalizing expression level or expression profile of the target sequences.
  • the method further comprises sequencing the plurality of targets. In some embodiments, the method further comprises hybridizing the plurality of targets to a solid support. In some embodiments, the solid support is a bead or array.
  • assaying the expression level of a plurality of targets may comprise the use of a probe set. In some embodiments, assaying the expression level may comprise the use of a classifier. The classifier may comprise a probe selection region (PSR). In some embodiments, the classifier may comprise the use of an algorithm. The algorithm may comprise a machine learning algorithm. In some embodiments, assaying the expression level may also comprise sequencing the plurality of targets.
  • genomic classifiers for prognosing and/or diagnosing prostate cancer
  • the genomic classifier has an AUC value of at least about 0.40 to predict patient outcomes.
  • patient outcomes are selected from the group consisting of biochemical recurrence (BCR), metastasis (MET) and prostate cancer death (PCSM) after radical prostatectomy.
  • the AUC of the genomic classifier may be at least about 0.40, 0.45, 0.50, 0.55, 0.60, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.70 or more.
  • a method for using genomic classifiers for prognosing and/or diagnosing prostate cancer comprising determining the level of expression or amplification of at least one or more targets of the present invention, wherein the significance of the expression level of the one or more targets is based on one or more metrics selected from the group comprising T-test, P-value, KS (Kolmogorov Smirnov) P-value, accuracy, accuracy P-value, positive predictive value (PPV), negative predictive value (NPV), sensitivity, specificity, AUC, AUC P-value (Auc.pvalue), Wilcoxon Test P-value, Median Fold Difference (MFD), Kaplan Meier (KM) curves, survival AUC (survAUC), Kaplan Meier P-value (KM P-value), Univariable Analysis Odds Ratio P-value (uvaORPval), multivariable analysis Odds Ratio P-value (mvaORPval), Univariable Analysis Hazard Ratio P-value (uvaHRPval) and
  • the significance of the expression level of the one or more targets may be based on two or more metrics selected from the group comprising AUC, AUC P-value (Auc.pvalue), Wilcoxon Test P-value, Median Fold Difference (MFD), Kaplan Meier (KM) curves, survival AUC (survAUC), Univariable Analysis Odds Ratio P-value (uvaORPval), multivariable analysis Odds Ratio P-value (mvaORPval), Kaplan Meier P-value (KM P-value), Univariable Analysis Hazard Ratio P-value (uvaHRPval) and Multivariable Analysis Hazard Ratio P-value (mvaHRPval).
  • the molecular subtypes of the present invention are useful for predicting clinical characteristics of subjects with prostate cancer.
  • the clinical characteristics are selected from the group consisting of seminal vesical invasion (SVI), lymph node invasion (LNI), prostate-specific antigen (PSA), and gleason score (GS).
  • FIGS. 1A-B set forth data showing correlation of genomic classifiers with biopsy Grade Groups and NCCN risk categories.
  • FIGS. 2A-C set forth data showing correlation of genomic classifiers with diagnostic PSA, clinical stage and percentage of positive cores.
  • FIGS. 3A-B set forth data showing correlation of genomic classifier with pathological tumor grade and stage.
  • FIG. 4 sets forth data showing genomic classifier correlation with prospective RP and biopsy tumor specimens across tumor Grade Groups.
  • FIG. 5 sets forth data showing the distribution of genomic classifier scores among cases where tumor grading changed.
  • FIGS. 6A-C set forth data showing correlation of genomic classifiers with Gleason scores after pathological re-review in 1,694 biopsy samples.
  • FIGS. 7A-B set forth data showing genomic classifier scores for composite endpoint: High Stage Disease (LNI or pT3b) for biopsy samples.
  • FIG. 8 sets forth data showing AUC for predicting LNI for various genomic classifiers.
  • the present invention discloses systems and methods for diagnosing, predicting, and/or monitoring the status or outcome of a prostate cancer in a subject using expression-based analysis of a plurality of targets.
  • the method comprises (a) optionally obtaining a sample from a subject; (b) assaying the expression level for a plurality of targets in the sample; and (c) diagnosing, predicting and/or monitoring the status or outcome of a prostate cancer based on the expression level of the plurality of targets.
  • Assaying the expression level for a plurality of targets in the sample may comprise applying the sample to a microarray. In some instances, assaying the expression level may comprise the use of an algorithm. The algorithm may be used to produce a classifier and subsequently a classifier score. Alternatively, the classifier may comprise a probe selection region. In some instances, assaying the expression level for a plurality of targets comprises detecting and/or quantifying the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises sequencing the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises amplifying the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises quantifying the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises conducting a multiplexed reaction on the plurality of targets.
  • the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815. In some instances, the plurality of targets comprises at least about 2, at least about 3, at least about 4, at least about 5, at least about 6, at least about 7, at least about 8, at least about 9, at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the method comprises: (a) obtaining a sample comprising prostate cancer cells from a subject; (b) assaying the expression level for a plurality of targets in the sample; and (c) prognosing or diagnosing the cancer based on the expression level of the plurality of targets.
  • the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of targets comprises at least about 2, at least about 3, at least about 4, at least about 5, at least about 6, at least about 7, at least about 8, at least about 9, at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • prognosing or diagnosing the prostate cancer comprises determining whether the cancer is aggressive or will metastasize. Alternatively, prognosing or diagnosing the prostate cancer comprises identifying the cancer as non-responsive to an anti-cancer therapy. Optionally, prognosing or diagnosing the prostate cancer comprises identifying the cancer as responsive to an anti-cancer therapy.
  • the methods disclosed herein often comprise assaying the expression level of a plurality of targets.
  • the plurality of targets may comprise coding targets and/or non-coding targets of a protein-coding gene or a non protein-coding gene.
  • a protein-coding gene structure may comprise an exon and an intron.
  • the exon may further comprise a coding sequence (CDS) and an untranslated region (UTR).
  • CDS coding sequence
  • UTR untranslated region
  • the protein-coding gene may be transcribed to produce a pre-mRNA and the pre-mRNA may be processed to produce a mature mRNA.
  • the mature mRNA may be translated to produce a protein.
  • a non protein-coding gene structure may comprise an exon and intron.
  • the exon region of a non protein-coding gene primarily contains a UTR.
  • the non protein-coding gene may be transcribed to produce a pre-mRNA and the pre-mRNA may be processed to produce a non-coding RNA (ncRNA).
  • a coding target may comprise a coding sequence of an exon.
  • a non-coding target may comprise a UTR sequence of an exon, intron sequence, intergenic sequence, promoter sequence, non-coding transcript, CDS antisense, intronic antisense, UTR antisense, or non-coding transcript antisense.
  • a non-coding transcript may comprise a non-coding RNA (ncRNA).
  • the plurality of targets may be differentially expressed.
  • a plurality of probe selection regions (PSRs) is differentially expressed.
  • the plurality of targets comprises one or more targets selected from at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815. In some instances, the plurality of targets comprises at least about 2, at least about 3, at least about 4, at least about 5, at least about 6, at least about 7, at least about 8, at least about 9, at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of targets comprises a coding target, non-coding target, or any combination thereof.
  • the coding target comprises an exonic sequence.
  • the non-coding target comprises a non-exonic or exonic sequence.
  • a non-coding target comprises a UTR sequence, an intronic sequence, antisense, or a non-coding RNA transcript.
  • a non-coding target comprises sequences which partially overlap with a UTR sequence or an intronic sequence.
  • a non-coding target also includes non-exonic and/or exonic transcripts. Exonic sequences may comprise regions on a protein-coding gene, such as an exon, UTR, or a portion thereof.
  • Non-exonic sequences may comprise regions on a protein-coding, non protein-coding gene, or a portion thereof.
  • non-exonic sequences may comprise intronic regions, promoter regions, intergenic regions, a non-coding transcript, an exon anti-sense region, an intronic anti-sense region, UTR anti-sense region, non-coding transcript anti-sense region, or a portion thereof.
  • the plurality of targets comprises a non-coding RNA transcript.
  • the plurality of targets may comprise one or more targets selected from a classifier disclosed herein.
  • the classifier may be generated from one or more models or algorithms.
  • the one or more models or algorithms may be Na ⁇ ve Bayes (NB), recursive Partitioning (Rpart), random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), high dimensional discriminate analysis (HDDA), or a combination thereof.
  • the classifier may have an AUC of equal to or greater than 0.60.
  • the classifier may have an AUC of equal to or greater than 0.61.
  • the classifier may have an AUC of equal to or greater than 0.62.
  • the classifier may have an AUC of equal to or greater than 0.63.
  • the classifier may have an AUC of equal to or greater than 0.64.
  • the classifier may have an AUC of equal to or greater than 0.65.
  • the classifier may have an AUC of equal to or greater than 0.66.
  • the classifier may have an AUC of equal to or greater than 0.67.
  • the classifier may have an AUC of equal to or greater than 0.68.
  • the classifier may have an AUC of equal to or greater than 0.69.
  • the classifier may have an AUC of equal to or greater than 0.70.
  • the classifier may have an AUC of equal to or greater than 0.75.
  • the classifier may have an AUC of equal to or greater than 0.77.
  • the classifier may have an AUC of equal to or greater than 0.78.
  • the classifier may have an AUC of equal to or greater than 0.79.
  • the classifier may have an AUC of equal to or greater than 0.80.
  • the AUC may be clinically significant based on its 95% confidence interval (CI).
  • the accuracy of the classifier may be at least about 70%.
  • the accuracy of the classifier may be at least about 73%.
  • the accuracy of the classifier may be at least about 75%.
  • the accuracy of the classifier may be at least about 77%.
  • the accuracy of the classifier may be at least about 80%.
  • the accuracy of the classifier may be at least about 83%.
  • the accuracy of the classifier may be at least about 84%.
  • the accuracy of the classifier may be at least about 86%.
  • the accuracy of the classifier may be at least about 88%.
  • the accuracy of the classifier may be at least about 90%.
  • the p-value of the classifier may be less than or equal to 0.05.
  • the p-value of the classifier may be less than or equal to 0.04.
  • the p-value of the classifier may be less than or equal to 0.03.
  • the p-value of the classifier may be less than or equal to 0.02.
  • the p-value of the classifier may be less than or equal to 0.01.
  • the p-value of the classifier may be less than or equal to 0.008.
  • the p-value of the classifier may be less than or equal to 0.006.
  • the p-value of the classifier may be less than or equal to 0.004.
  • the p-value of the classifier may be less than or equal to 0.002.
  • the p-value of the classifier may be less than or equal to 0.001.
  • the plurality of targets may comprise one or more targets selected from a Random Forest (RF) classifier.
  • the plurality of targets may comprise two or more targets selected from a Random Forest (RF) classifier.
  • the plurality of targets may comprise three or more targets selected from a Random Forest (RF) classifier.
  • the plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 25, 30, 40, 50, 60 or more targets selected from a Random Forest (RF) classifier.
  • the RF classifier may be an RF2, and RF3, or an RF4 classifier.
  • the RF classifier may be an RF60 classifier (e.g., a Random Forest classifier with 50 targets).
  • a RF classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of targets may comprise one or more targets selected from an SVM classifier.
  • the plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 25, 30, 40, 50, 60 or more targets selected from an SVM classifier.
  • the plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30, 40, 50, 60 or more targets selected from an SVM classifier.
  • the plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from an SVM classifier.
  • the SVM classifier may be an SVM2 classifier.
  • a SVM classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of targets may comprise one or more targets selected from a KNN classifier.
  • the plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10 or more targets selected from a KNN classifier.
  • the plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30 or more targets selected from a KNN classifier.
  • the plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from a KNN classifier.
  • the KNN classifier may be a KNN50 classifier.
  • a KNN classifier of the present invention may comprise sixty or more targets comprising sixty or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of targets may comprise one or more targets selected from a Na ⁇ ve Bayes (NB) classifier.
  • the plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10 or more targets selected from an NB classifier.
  • the plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30 or more targets selected from an NB classifier.
  • the plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from a NB classifier.
  • the NB classifier may be a NB2 classifier.
  • An NB classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of targets may comprise one or more targets selected from a recursive Partitioning (Rpart) classifier.
  • the plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10 or more targets selected from an Rpart classifier.
  • the plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30 or more targets selected from an Rpart classifier.
  • the plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from an Rpart classifier.
  • the Rpart classifier may be an Rpart2 classifier.
  • An Rpart classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the plurality of targets may comprise one or more targets selected from a high dimensional discriminate analysis (HDDA) classifier.
  • the plurality of targets may comprise two or more targets selected from a high dimensional discriminate analysis (HDDA) classifier.
  • the plurality of targets may comprise three or more targets selected from a high dimensional discriminate analysis (HDDA) classifier.
  • the plurality of targets may comprise 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 30, 40, 50, 60 or more targets selected from a high dimensional discriminate analysis (HDDA) classifier.
  • the present invention provides for a probe set for diagnosing, monitoring and/or predicting a status or outcome of a prostate cancer in a subject comprising a plurality of probes, wherein (i) the probes in the set are capable of detecting an expression level of at least one target selected from Table 1 or SEQ ID NOs: 1-1815; and (ii) the expression level determines the cancer status of the subject with at least about 40% specificity.
  • the probe set may comprise one or more polynucleotide probes.
  • Individual polynucleotide probes comprise a nucleotide sequence derived from the nucleotide sequence of the target sequences or complementary sequences thereof.
  • the nucleotide sequence of the polynucleotide probe is designed such that it corresponds to, or is complementary to the target sequences.
  • the polynucleotide probe can specifically hybridize under either stringent or lowered stringency hybridization conditions to a region of the target sequences, to the complement thereof, or to a nucleic acid sequence (such as a cDNA) derived therefrom.
  • polynucleotide probe sequences and determination of their uniqueness may be carried out in silico using techniques known in the art, for example, based on a BLASTN search of the polynucleotide sequence in question against gene sequence databases, such as the Human Genome Sequence, UniGene, dbEST or the non-redundant database at NCBI.
  • the polynucleotide probe is complementary to a region of a target mRNA derived from a target sequence in the probe set.
  • Computer programs can also be employed to select probe sequences that may not cross hybridize or may not hybridize non-specifically.
  • microarray hybridization of RNA, extracted from prostate cancer tissue samples and amplified may yield a dataset that is then summarized and normalized by the fRMA technique. After removal (or filtration) of cross-hybridizing PSRs, and PSRs containing less than 4 probes, the remaining PSRs can be used in further analysis. Following fRMA and filtration, the data can be decomposed into its principal components and an analysis of variance model is used to determine the extent to which a batch effect remains present in the first 10 principal components.
  • PSRs CR-clinical recurrence
  • non-CR samples CR (clinical recurrence) and non-CR samples.
  • Feature selection can be performed by regularized logistic regression using the elastic-net penalty. The regularized regression may be bootstrapped over 1000 times using all training data; with each iteration of bootstrapping, features that have non-zero co-efficient following 3-fold cross validation can be tabulated. In some instances, features that were selected in at least 25% of the total runs were used for model building.
  • the polynucleotide probes of the present invention may range in length from about 15 nucleotides to the full length of the coding target or non-coding target. In one embodiment of the invention, the polynucleotide probes are at least about 15 nucleotides in length. In another embodiment, the polynucleotide probes are at least about 20 nucleotides in length. In a further embodiment, the polynucleotide probes are at least about 25 nucleotides in length. In another embodiment, the polynucleotide probes are between about 15 nucleotides and about 500 nucleotides in length.
  • the polynucleotide probes are between about 15 nucleotides and about 450 nucleotides, about 15 nucleotides and about 400 nucleotides, about 15 nucleotides and about 350 nucleotides, about 15 nucleotides and about 300 nucleotides, about 15 nucleotides and about 250 nucleotides, about 15 nucleotides and about 200 nucleotides in length.
  • the probes are at least 15 nucleotides in length. In some embodiments, the probes are at least 15 nucleotides in length.
  • the probes are at least 20 nucleotides, at least 25 nucleotides, at least 50 nucleotides, at least 75 nucleotides, at least 100 nucleotides, at least 125 nucleotides, at least 150 nucleotides, at least 200 nucleotides, at least 225 nucleotides, at least 250 nucleotides, at least 275 nucleotides, at least 300 nucleotides, at least 325 nucleotides, at least 350 nucleotides, at least 375 nucleotides in length.
  • the polynucleotide probes of a probe set can comprise RNA, DNA, RNA or DNA mimetics, or combinations thereof, and can be single-stranded or double-stranded.
  • the polynucleotide probes can be composed of naturally-occurring nucleobases, sugars and covalent internucleoside (backbone) linkages as well as polynucleotide probes having non-naturally-occurring portions which function similarly.
  • Such modified or substituted polynucleotide probes may provide desirable properties such as, for example, enhanced affinity for a target gene and increased stability.
  • the probe set may comprise a coding target and/or a non-coding target.
  • the probe set comprises a combination of a coding target and non-coding target.
  • the probe set comprise a plurality of target sequences that hybridize to at least about 5 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the probe set comprise a plurality of target sequences that hybridize to at least about 10 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the probe set comprise a plurality of target sequences that hybridize to at least about 15 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the probe set comprise a plurality of target sequences that hybridize to at least about 20 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 30 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 40 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the probe set comprise a plurality of target sequences that hybridize to at least about 50 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 60 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • the system of the present invention further provides for primers and primer pairs capable of amplifying target sequences defined by the probe set, or fragments or subsequences or complements thereof.
  • the nucleotide sequences of the probe set may be provided in computer-readable media for in silico applications and as a basis for the design of appropriate primers for amplification of one or more target sequences of the probe set.
  • Primers based on the nucleotide sequences of target sequences can be designed for use in amplification of the target sequences.
  • a pair of primers can be used.
  • the exact composition of the primer sequences is not critical to the invention, but for most applications the primers may hybridize to specific sequences of the probe set under stringent conditions, particularly under conditions of high stringency, as known in the art.
  • the pairs of primers are usually chosen so as to generate an amplification product of at least about 50 nucleotides, more usually at least about 100 nucleotides. Algorithms for the selection of primer sequences are generally known, and are available in commercial software packages.
  • primers may be used in standard quantitative or qualitative PCR-based assays to assess transcript expression levels of RNAs defined by the probe set.
  • these primers may be used in combination with probes, such as molecular beacons in amplifications using real-time PCR.
  • the primers or primer pairs when used in an amplification reaction, specifically amplify at least a portion of a nucleic acid sequence of a target selected from Table 1 or SEQ ID NOs: 1-1815 (or subgroups thereof as set forth herein), an RNA form thereof, or a complement to either thereof.
  • a label can optionally be attached to or incorporated into a probe or primer polynucleotide to allow detection and/or quantitation of a target polynucleotide representing the target sequence of interest.
  • the target polynucleotide may be the expressed target sequence RNA itself, a cDNA copy thereof, or an amplification product derived therefrom, and may be the positive or negative strand, so long as it can be specifically detected in the assay being used.
  • an antibody may be labeled.
  • labels used for detecting different targets may be distinguishable.
  • the label can be attached directly (e.g., via covalent linkage) or indirectly, e.g., via a bridging molecule or series of molecules (e.g., a molecule or complex that can bind to an assay component, or via members of a binding pair that can be incorporated into assay components, e.g. biotin-avidin or streptavidin).
  • a bridging molecule or series of molecules e.g., a molecule or complex that can bind to an assay component, or via members of a binding pair that can be incorporated into assay components, e.g. biotin-avidin or streptavidin.
  • Many labels are commercially available in activated forms which can readily be used for such conjugation (for example through amine acylation), or labels may be attached through known or determinable conjugation schemes, many of which are known in the art.
  • Labels useful in the invention described herein include any substance which can be detected when bound to or incorporated into the biomolecule of interest. Any effective detection method can be used, including optical, spectroscopic, electrical, piezoelectrical, magnetic, Raman scattering, surface plasmon resonance, colorimetric, calorimetric, etc.
  • a label is typically selected from a chromophore, a lumiphore, a fluorophore, one member of a quenching system, a chromogen, a hapten, an antigen, a magnetic particle, a material exhibiting nonlinear optics, a semiconductor nanocrystal, a metal nanoparticle, an enzyme, an antibody or binding portion or equivalent thereof, an aptamer, and one member of a binding pair, and combinations thereof.
  • Quenching schemes may be used, wherein a quencher and a fluorophore as members of a quenching pair may be used on a probe, such that a change in optical parameters occurs upon binding to the target introduce or quench the signal from the fluorophore.
  • a molecular beacon Suitable quencher/fluorophore systems are known in the art.
  • the label may be bound through a variety of intermediate linkages.
  • a polynucleotide may comprise a biotin-binding species, and an optically detectable label may be conjugated to biotin and then bound to the labeled polynucleotide.
  • a polynucleotide sensor may comprise an immunological species such as an antibody or fragment, and a secondary antibody containing an optically detectable label may be added.
  • Chromophores useful in the methods described herein include any substance which can absorb energy and emit light.
  • a plurality of different signaling chromophores can be used with detectably different emission spectra.
  • the chromophore can be a lumophore or a fluorophore.
  • Typical fluorophores include fluorescent dyes, semiconductor nanocrystals, lanthanide chelates, polynucleotide-specific dyes and green fluorescent protein.
  • polynucleotides of the invention comprise at least 20 consecutive bases of the nucleic acid sequence of a target selected from Table 1 or SEQ ID NOs: 1-1815 or a complement thereto.
  • the polynucleotides may comprise at least 21, 22, 23, 24, 25, 27, 30, 32, 35 or more consecutive bases of the nucleic acids sequence of a target selected from Table 1 or SEQ ID NOs: 1-1815, as applicable.
  • the polynucleotides may be provided in a variety of formats, including as solids, in solution, or in an array.
  • the polynucleotides may optionally comprise one or more labels, which may be chemically and/or enzymatically incorporated into the polynucleotide.
  • one or more polynucleotides provided herein can be provided on a substrate.
  • the substrate can comprise a wide range of material, either biological, nonbiological, organic, inorganic, or a combination of any of these.
  • the substrate may be a polymerized Langmuir Blodgett film, functionalized glass, Si, Ge, GaAs, GaP, SiO 2 , SiN 4 , modified silicon, or any one of a wide variety of gels or polymers such as (poly)tetrafluoroethylene, (poly)vinylidenedifluoride, polystyrene, cross-linked polystyrene, polyacrylic, polylactic acid, polyglycolic acid, poly(lactide coglycolide), polyanhydrides, poly(methyl methacrylate), poly(ethylene-co-vinyl acetate), polysiloxanes, polymeric silica, latexes, dextran polymers, epoxies, polycarbonates,
  • the substrate can take the form of an array, a photodiode, an optoelectronic sensor such as an optoelectronic semiconductor chip or optoelectronic thin-film semiconductor, or a biochip.
  • the location(s) of probe(s) on the substrate can be addressable; this can be done in highly dense formats, and the location(s) can be microaddressable or nanoaddressable.
  • Diagnostic samples for use with the systems and in the methods of the present invention comprise nucleic acids suitable for providing RNAs expression information.
  • the biological sample from which the expressed RNA is obtained and analyzed for target sequence expression can be any material suspected of comprising prostate cancer tissue or cells.
  • the diagnostic sample can be a biological sample used directly in a method of the invention.
  • the diagnostic sample can be a sample prepared from a biological sample.
  • the sample or portion of the sample comprising or suspected of comprising cancer tissue or cells can be any source of biological material, including cells, tissue or fluid, including bodily fluids.
  • the source of the sample include an aspirate, a needle biopsy, a cytology pellet, a bulk tissue preparation or a section thereof obtained for example by surgery or autopsy, lymph fluid, blood, plasma, serum, tumors, and organs.
  • the sample is from urine.
  • the sample is from blood, plasma or serum.
  • the sample is from saliva.
  • the samples may be archival samples, having a known and documented medical outcome, or may be samples from current patients whose ultimate medical outcome is not yet known.
  • the sample may be dissected prior to molecular analysis.
  • the sample may be prepared via macrodissection of a bulk tumor specimen or portion thereof, or may be treated via microdissection, for example via Laser Capture Microdissection (LCM).
  • LCD Laser Capture Microdissection
  • the sample may initially be provided in a variety of states, as fresh tissue, fresh frozen tissue, fine needle aspirates, and may be fixed or unfixed. Frequently, medical laboratories routinely prepare medical samples in a fixed state, which facilitates tissue storage.
  • fixatives can be used to fix tissue to stabilize the morphology of cells, and may be used alone or in combination with other agents. Exemplary fixatives include crosslinking agents, alcohols, acetone, Bouin's solution, Zenker solution, Helv solution, osmic acid solution and Carnoy solution.
  • Crosslinking fixatives can comprise any agent suitable for forming two or more covalent bonds, for example an aldehyde.
  • Sources of aldehydes typically used for fixation include formaldehyde, paraformaldehyde, glutaraldehyde or formalin.
  • the crosslinking agent comprises formaldehyde, which may be included in its native form or in the form of paraformaldehyde or formalin.
  • formaldehyde which may be included in its native form or in the form of paraformaldehyde or formalin.
  • One or more alcohols may be used to fix tissue, alone or in combination with other fixatives.
  • exemplary alcohols used for fixation include methanol, ethanol and isopropanol.
  • Formalin fixation is frequently used in medical laboratories.
  • Formalin comprises both an alcohol, typically methanol, and formaldehyde, both of which can act to fix a biological sample.
  • the biological sample may optionally be embedded in an embedding medium.
  • embedding media used in histology including paraffin, Tissue-Tek® V.I.P.TM, Paramat, Paramat Extra, Paraplast, Paraplast X-tra, Paraplast Plus, Peel Away Paraffin Embedding Wax, Polyester Wax, Carbowax Polyethylene Glycol, PolyfinTM, Tissue Freezing Medium TFMFM, Cryo-GefTM, and OCT Compound (Electron Microscopy Sciences, Hatfield, Pa.).
  • the embedding material may be removed via any suitable techniques, as known in the art.
  • the embedding material may be removed by extraction with organic solvent(s), for example xylenes.
  • Kits are commercially available for removing embedding media from tissues. Samples or sections thereof may be subjected to further processing steps as needed, for example serial hydration or dehydration steps.
  • the sample is a fixed, wax-embedded biological sample.
  • samples from medical laboratories are provided as fixed, wax-embedded samples, most commonly as formalin-fixed, paraffin embedded (FFPE) tissues.
  • FFPE formalin-fixed, paraffin embedded
  • the target polynucleotide that is ultimately assayed can be prepared synthetically (in the case of control sequences), but typically is purified from the biological source and subjected to one or more preparative steps.
  • the RNA may be purified to remove or diminish one or more undesired components from the biological sample or to concentrate it. Conversely, where the RNA is too concentrated for the particular assay, it may be diluted.
  • RNA can be extracted and purified from biological samples using any suitable technique.
  • a number of techniques are known in the art, and several are commercially available (e.g., FormaPure nucleic acid extraction kit, Agencourt Biosciences, Beverly Mass., High Pure FFPE RNA Micro Kit, Roche Applied Science, Indianapolis, Ind.).
  • RNA can be extracted from frozen tissue sections using TRIzol (Invitrogen, Carlsbad, Calif.) and purified using RNeasy Protect kit (Qiagen, Valencia, Calif.). RNA can be further purified using DNAse I treatment (Ambion, Austin, Tex.) to eliminate any contaminating DNA.
  • RNA concentrations can be made using a Nanodrop ND-1000 spectrophotometer (Nanodrop Technologies, Rockland, Del.). RNA can be further purified to eliminate contaminants that interfere with cDNA synthesis by cold sodium acetate precipitation. RNA integrity can be evaluated by running electropherograms, and RNA integrity number (RIN, a correlative measure that indicates intactness of mRNA) can be determined using the RNA 6000 PicoAssay for the Bioanalyzer 2100 (Agilent Technologies, Santa Clara, Calif.).
  • Kits for performing the desired method(s) comprise a container or housing for holding the components of the kit, one or more vessels containing one or more nucleic acid(s), and optionally one or more vessels containing one or more reagents.
  • the reagents include those described in the composition of matter section above, and those reagents useful for performing the methods described, including amplification reagents, and may include one or more probes, primers or primer pairs, enzymes (including polymerases and ligases), intercalating dyes, labeled probes, and labels that can be incorporated into amplification products.
  • the kit comprises primers or primer pairs specific for those subsets and combinations of target sequences described herein.
  • the primers or pairs of primers suitable for selectively amplifying the target sequences may comprise at least two, three, four or five primers or pairs of primers suitable for selectively amplifying one or more targets.
  • the kit may comprise at least 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100 or more primers or pairs of primers suitable for selectively amplifying one or more targets.
  • the primers or primer pairs of the kit when used in an amplification reaction, specifically amplify a non-coding target, coding target, exonic, or non-exonic target described herein, a nucleic acid sequence corresponding to a target selected from Table 1 or SEQ ID NOs: 1-1815, an RNA form thereof, or a complement to either thereof.
  • the kit may include a plurality of such primers or primer pairs which can specifically amplify a corresponding plurality of different amplify a non-coding target, coding target, exonic, or non-exonic transcript described herein, a nucleic acid sequence corresponding to a target selected from Table 1 or SEQ ID NOs: 1-1815, RNA forms thereof, or complements thereto.
  • At least two, three, four or five primers or pairs of primers suitable for selectively amplifying the one or more targets can be provided in kit form.
  • the kit comprises from five to fifty primers or pairs of primers suitable for amplifying the one or more targets.
  • the reagents may independently be in liquid or solid form.
  • the reagents may be provided in mixtures.
  • Control samples and/or nucleic acids may optionally be provided in the kit.
  • Control samples may include tissue and/or nucleic acids obtained from or representative of tumor samples from patients showing no evidence of disease, as well as tissue and/or nucleic acids obtained from or representative of tumor samples from patients that develop systemic cancer.
  • the nucleic acids may be provided in an array format, and thus an array or microarray may be included in the kit.
  • the kit optionally may be certified by a government agency for use in prognosing the disease outcome of cancer patients and/or for designating a treatment modality.
  • kit Instructions for using the kit to perform one or more methods of the invention can be provided with the container, and can be provided in any fixed medium.
  • the instructions may be located inside or outside the container or housing, and/or may be printed on the interior or exterior of any surface thereof.
  • a kit may be in multiplex form for concurrently detecting and/or quantitating one or more different target polynucleotides representing the expressed target sequences.
  • the nucleic acid portion of the sample comprising RNA that is or can be used to prepare the target polynucleotide(s) of interest can be subjected to one or more preparative reactions.
  • These preparative reactions can include in vitro transcription (IVT), labeling, fragmentation, amplification and other reactions.
  • mRNA can first be treated with reverse transcriptase and a primer to create cDNA prior to detection, quantitation and/or amplification; this can be done in vitro with purified mRNA or in situ, e.g., in cells or tissues affixed to a slide.
  • amplification is meant any process of producing at least one copy of a nucleic acid, in this case an expressed RNA, and in many cases produces multiple copies.
  • An amplification product can be RNA or DNA, and may include a complementary strand to the expressed target sequence.
  • DNA amplification products can be produced initially through reverse translation and then optionally from further amplification reactions.
  • the amplification product may include all or a portion of a target sequence, and may optionally be labeled.
  • a variety of amplification methods are suitable for use, including polymerase-based methods and ligation-based methods.
  • Exemplary amplification techniques include the polymerase chain reaction method (PCR), the lipase chain reaction (LCR), ribozyme-based methods, self-sustained sequence replication (3SR), nucleic acid sequence-based amplification (NASBA), the use of Q Beta replicase, reverse transcription, nick translation, and the like.
  • Asymmetric amplification reactions may be used to preferentially amplify one strand representing the target sequence that is used for detection as the target polynucleotide.
  • the presence and/or amount of the amplification product itself may be used to determine the expression level of a given target sequence.
  • the amplification product may be used to hybridize to an array or other substrate comprising sensor polynucleotides which are used to detect and/or quantitate target sequence expression.
  • the first cycle of amplification in polymerase-based methods typically forms a primer extension product complementary to the template strand.
  • the template is single-stranded RNA
  • a polymerase with reverse transcriptase activity is used in the first amplification to reverse transcribe the RNA to DNA, and additional amplification cycles can be performed to copy the primer extension products.
  • the primers for a PCR must, of course, be designed to hybridize to regions in their corresponding template that can produce an amplifiable segment; thus, each primer must hybridize so that its 3′ nucleotide is paired to a nucleotide in its complementary template strand that is located 3′ from the 3′ nucleotide of the primer used to replicate that complementary template strand in the PCR.
  • the target polynucleotide can be amplified by contacting one or more strands of the target polynucleotide with a primer and a polymerase having suitable activity to extend the primer and copy the target polynucleotide to produce a full-length complementary polynucleotide or a smaller portion thereof.
  • Any enzyme having a polymerase activity that can copy the target polynucleotide can be used, including DNA polymerases, RNA polymerases, reverse transcriptases, enzymes having more than one type of polymerase or enzyme activity.
  • the enzyme can be thermolabile or thermostable. Mixtures of enzymes can also be used.
  • Exemplary enzymes include: DNA polymerases such as DNA Polymerase I (“Pol I”), the Klenow fragment of Pol I, T4, T7, Sequenase® T7, Sequenase® Version 2.0 T7, Tub, Taq, Tth, Pfic, Pfu, Tsp, Tfl, Tli and Pyrococcus sp GB-D DNA polymerases; RNA polymerases such as E. coli , SP6, T3 and T7 RNA polymerases; and reverse transcriptases such as AMV, M-MuLV, MMLV, RNAse H MMLV (SuperScript®), SuperScript® II, ThermoScript®, HIV-1, and RAV2 reverse transcriptases.
  • DNA polymerases such as DNA Polymerase I (“Pol I”), the Klenow fragment of Pol I, T4, T7, Sequenase® T7, Sequenase® Version 2.0 T7, Tub, Taq, Tth, Pfic, Pfu,
  • Exemplary polymerases with multiple specificities include RAV2 and Tli (exo-) polymerases.
  • Exemplary thermostable polymerases include Tub, Taq, Tth, Pfic, Pfu, Tsp, Tfl, Tli and Pyrococcus sp.
  • GB-D DNA polymerases are commercially available.
  • Suitable reaction conditions are chosen to permit amplification of the target polynucleotide, including pH, buffer, ionic strength, presence and concentration of one or more salts, presence and concentration of reactants and cofactors such as nucleotides and magnesium and/or other metal ions (e.g., manganese), optional cosolvents, temperature, thermal cycling profile for amplification schemes comprising a polymerase chain reaction, and may depend in part on the polymerase being used as well as the nature of the sample.
  • Cosolvents include formamide (typically at from about 2 to about 10%), glycerol (typically at from about 5 to about 10%), and DMSO (typically at from about 0.9 to about 10%).
  • Techniques may be used in the amplification scheme in order to minimize the production of false positives or artifacts produced during amplification. These include “touchdown” PCR, hot-start techniques, use of nested primers, or designing PCR primers so that they form stem-loop structures in the event of primer-dimer formation and thus are not amplified.
  • Techniques to accelerate PCR can be used, for example centrifugal PCR, which allows for greater convection within the sample, and comprising infrared heating steps for rapid heating and cooling of the sample.
  • One or more cycles of amplification can be performed.
  • An excess of one primer can be used to produce an excess of one primer extension product during PCR; preferably, the primer extension product produced in excess is the amplification product to be detected.
  • a plurality of different primers may be used to amplify different target polynucleotides or different regions of a particular target polynucleotide within the sample.
  • An amplification reaction can be performed under conditions which allow an optionally labeled sensor polynucleotide to hybridize to the amplification product during at least part of an amplification cycle.
  • an assay is performed in this manner, real-time detection of this hybridization event can take place by monitoring for light emission or fluorescence during amplification, as known in the art.
  • amplification product is to be used for hybridization to an array or microarray
  • suitable commercially available amplification products are available. These include amplification kits available from NuGEN, Inc. (San Carlos, Calif.), including the WT-OvationTM System, WT-OvationTM System v2, WT-OvationTM Pico System, WT-OvationTM FFPE Exon Module, WT-OvationTM FFPE Exon Module RiboAmp and RiboAmp Plus RNA Amplification Kits (MDS Analytical Technologies (formerly Arcturus) (Mountain View, Calif.), Genisphere, Inc.
  • Amplified nucleic acids may be subjected to one or more purification reactions after amplification and labeling, for example using magnetic beads (e.g., RNAClean magnetic beads, Agencourt Biosciences).
  • magnetic beads e.g., RNAClean magnetic beads, Agencourt Biosciences.
  • RNA biomarkers can be analyzed using real-time quantitative multiplex RT-PCR platforms and other multiplexing technologies such as GenomeLab GeXP Genetic Analysis System (Beckman Coulter, Foster City, Calif.), SmartCycler® 9600 or GeneXpert® Systems (Cepheid, Sunnyvale, Calif.), ABI 7900 HT Fast Real Time PCR system (Applied Biosystems, Foster City, Calif.), LightCycler® 480 System (Roche Molecular Systems, Pleasanton, Calif.), xMAP 100 System (Luminex, Austin, Tex.) Solexa Genome Analysis System (Illumina, Hayward, Calif.), OpenArray Real Time qPCR (BioTrove, Woburn, Mass.) and BeadXpress System (Illumina, Hayward, Calif.).
  • GenomeLab GeXP Genetic Analysis System Beckman Coulter, Foster City, Calif.
  • SmartCycler® 9600 or GeneXpert® Systems Cepheid, Sunnyvale, Calif.
  • any method of detecting and/or quantitating the expression of the encoded target sequences can in principle be used in the invention.
  • the expressed target sequences can be directly detected and/or quantitated, or may be copied and/or amplified to allow detection of amplified copies of the expressed target sequences or its complement.
  • Methods for detecting and/or quantifying a target can include Northern blotting, sequencing, array or microarray hybridization, by enzymatic cleavage of specific structures (e.g., an Invader® assay, Third Wave Technologies, e.g. as described in U.S. Pat. Nos. 5,846,717, 6,090,543; 6,001,567; 5,985,557; and 5,994,069) and amplification methods, e.g. RT-PCR, including in a TaqMan® assay (PE Biosystems, Foster City, Calif., e.g. as described in U.S. Pat. Nos.
  • specific structures e.g., an Invader® assay, Third Wave Technologies, e.g. as described in U.S. Pat. Nos. 5,846,717, 6,090,543; 6,001,567; 5,985,557; and 5,994,069
  • amplification methods e.g. RT-PCR, including in a Ta
  • nucleic acids may be amplified, labeled and subjected to microarray analysis.
  • target sequences may be detected by sequencing.
  • Sequencing methods may comprise whole genome sequencing or exome sequencing. Sequencing methods such as Maxim-Gilbert, chain-termination, or high-throughput systems may also be used. Additional, suitable sequencing techniques include classic dideoxy sequencing reactions (Sanger method) using labeled terminators or primers and gel separation in slab or capillary, sequencing by synthesis using reversibly terminated labeled nucleotides, pyrosequencing, 454 sequencing, allele specific hybridization to a library of labeled oligonucleotide probes, sequencing by synthesis using allele specific hybridization to a library of labeled clones that is followed by ligation, real time monitoring of the incorporation of labeled nucleotides during a polymerization step, and SOLiD sequencing.
  • Additional methods for detecting and/or quantifying a target include single-molecule sequencing (e.g., Helicos, PacBio), sequencing by synthesis (e.g., Illumina, Ion Torrent), sequencing by ligation (e.g., ABI SOLID), sequencing by hybridization (e.g., Complete Genomics), in situ hybridization, bead-array technologies (e.g., Luminex xMAP, Illumina BeadChips), branched DNA technology (e.g., Panomics, Genisphere). Sequencing methods may use fluorescent (e.g., Illumina) or electronic (e.g., Ion Torrent, Oxford Nanopore) methods of detecting nucleotides.
  • single-molecule sequencing e.g., Helicos, PacBio
  • sequencing by synthesis e.g., Illumina, Ion Torrent
  • sequencing by ligation e.g., ABI SOLID
  • sequencing by hybridization e.g., Complete Genomics
  • in situ hybridization e.g
  • Reverse transcription can be performed by any method known in the art.
  • reverse transcription may be performed using the Omniscript kit (Qiagen, Valencia, Calif.), Superscript III kit (Invitrogen, Carlsbad, Calif.), for RT-PCR.
  • Target-specific priming can be performed in order to increase the sensitivity of detection of target sequences and generate target-specific cDNA.
  • TaqMan® RT-PCR can be performed using Applied Biosystems Prism (ABI) 7900 HT instruments in a 5 1.11 volume with target sequence-specific cDNA equivalent to 1 ng total RNA.
  • Primers and probes concentrations for TaqMan analysis are added to amplify fluorescent amplicons using PCR cycling conditions such as 95° C. for 10 minutes for one cycle, 95° C. for 20 seconds, and 60° C. for 45 seconds for 40 cycles.
  • a reference sample can be assayed to ensure reagent and process stability.
  • Negative controls e.g., no template should be assayed to monitor any exogenous nucleic acid contamination.
  • an “array” is a spatially or logically organized collection of polynucleotide probes.
  • An array comprising probes specific for a coding target, non-coding target, or a combination thereof may be used.
  • an array comprising probes specific for two or more of transcripts of a target selected from Table 1 or SEQ ID NOs: 1-1815 or a product derived thereof can be used.
  • an array may be specific for 5, 10, 15, 20, 25, 30, 40, 50 or more of transcripts of a target selected from Table 1 or SEQ ID NOs: 1-1815.
  • an array which comprises a wide range of sensor probes for prostate-specific expression products, along with appropriate control sequences.
  • the array may comprise the Human Exon 1.0 ST Array (HuEx 1.0 ST, Affymetrix, Inc., Santa Clara, Calif.).
  • the polynucleotide probes are attached to a solid substrate and are ordered so that the location (on the substrate) and the identity of each are known.
  • the polynucleotide probes can be attached to one of a variety of solid substrates capable of withstanding the reagents and conditions necessary for use of the array.
  • Examples include, but are not limited to, polymers, such as (poly)tetrafluoroethylene, (poly)vinylidenedifluoride, polystyrene, polycarbonate, polypropylene and polystyrene; ceramic; silicon; silicon dioxide; modified silicon; (fused) silica, quartz or glass; functionalized glass; paper, such as filter paper; diazotized cellulose; nitrocellulose filter; nylon membrane; and polyacrylamide gel pad. Substrates that are transparent to light are useful for arrays that may be used in an assay that involves optical detection.
  • array formats include membrane or filter arrays (for example, nitrocellulose, nylon arrays), plate arrays (for example, multiwell, such as a 24-, 96-, 256-, 384-, 864- or 1536-well, microtitre plate arrays), pin arrays, and bead arrays (for example, in a liquid “slurry”).
  • Arrays on substrates such as glass or ceramic slides are often referred to as chip arrays or “chips.” Such arrays are well known in the art.
  • the Cancer Prognosticarray is a chip.
  • one or more pattern recognition methods can be used in analyzing the expression level of target sequences.
  • the pattern recognition method can comprise a linear combination of expression levels, or a nonlinear combination of expression levels.
  • expression measurements for RNA transcripts or combinations of RNA transcript levels are formulated into linear or non-linear models or algorithms (e.g., an ‘expression signature’) and converted into a likelihood score.
  • This likelihood score indicates the probability that a biological sample is from a patient who may exhibit no evidence of disease, who may exhibit systemic cancer, or who may exhibit biochemical recurrence.
  • the likelihood score can be used to distinguish these disease states.
  • the models and/or algorithms can be provided in machine readable format, and may be used to correlate expression levels or an expression profile with a disease state, and/or to designate a treatment modality for a patient or class of patients.
  • Assaying the expression level for a plurality of targets may comprise the use of an algorithm or classifier.
  • Array data can be managed, classified, and analyzed using techniques known in the art.
  • Assaying the expression level for a plurality of targets may comprise probe set modeling and data pre-processing.
  • Probe set modeling and data pre-processing can be derived using the Robust Multi-Array (RMA) algorithm or variants GC-RMA, IRMA, Probe Logarithmic Intensity Error (PLIER) algorithm or variant iterPLIER.
  • Variance or intensity filters can be applied to pre-process data using the RMA algorithm, for example by removing target sequences with a standard deviation of ⁇ 10 or a mean intensity of ⁇ 100 intensity units of a normalized data range, respectively.
  • assaying the expression level for a plurality of targets may comprise the use of a machine learning algorithm.
  • the machine learning algorithm may comprise a supervised learning algorithm.
  • supervised learning algorithms may include Average One-Dependence Estimators (AODE), Artificial neural network (e.g., Backpropagation), Bayesian statistics (e.g., Naive Bayes classifier, Bayesian network, Bayesian knowledge base), Case-based reasoning, Decision trees, Inductive logic programming, Gaussian process regression, Group method of data handling (GMDH), Learning Automata, Learning Vector Quantization, Minimum message length (decision trees, decision graphs, etc.), Lazy learning, Instance-based learning Nearest Neighbor Algorithm, Analogical modeling, Probably approximately correct learning (PAC) learning, Ripple down rules, a knowledge acquisition methodology, Symbolic machine learning algorithms, Subsymbolic machine learning algorithms, Support vector machines, Random Forests, Ensembles of classifiers, Bootstrap aggregating (bagging), and Boosting.
  • AODE Average One
  • Supervised learning may comprise ordinal classification such as regression analysis and Information fuzzy networks (IFN).
  • supervised learning methods may comprise statistical classification, such as AODE, Linear classifiers (e.g., Fisher's linear discriminant, Logistic regression, Naive Bayes classifier, Perceptron, and Support vector machine), quadratic classifiers, k-nearest neighbor, Boosting, Decision trees (e.g., C4.5, Random forests), Bayesian networks, and Hidden Markov models.
  • the machine learning algorithms may also comprise an unsupervised learning algorithm.
  • unsupervised learning algorithms may include artificial neural network, Data clustering, Expectation-maximization algorithm, Self-organizing map, Radial basis function network, Vector Quantization, Generative topographic map, Information bottleneck method, and IBSEAD.
  • Unsupervised learning may also comprise association rule learning algorithms such as Apriori algorithm, Eclat algorithm and FP-growth algorithm.
  • Hierarchical clustering such as Single-linkage clustering and Conceptual clustering, may also be used.
  • unsupervised learning may comprise partitional clustering such as K-means algorithm and Fuzzy clustering.
  • the machine learning algorithms comprise a reinforcement learning algorithm.
  • reinforcement learning algorithms include, but are not limited to, temporal difference learning, Q-learning and Learning Automata.
  • the machine learning algorithm may comprise Data Pre-processing.
  • the machine learning algorithms may include, but are not limited to, Average One-Dependence Estimators (AODE), Fisher's linear discriminant, Logistic regression, Perceptron, Multilayer Perceptron, Artificial Neural Networks, Support vector machines, Quadratic classifiers, Boosting, Decision trees, C4.5, Bayesian networks, Hidden Markov models, High-Dimensional Discriminant Analysis, and Gaussian Mixture Models.
  • the machine learning algorithm may comprise support vector machines, Na ⁇ ve Bayes classifier, k-nearest neighbor, high-dimensional discriminant analysis, or Gaussian mixture models. In some instances, the machine learning algorithm comprises Random Forests.
  • a cancer is characterized by the uncontrolled growth of abnormal cells anywhere in a body.
  • the abnormal cells may be termed cancer cells, malignant cells, or tumor cells. Cancer is not confined to humans; animals and other living organisms can get cancer.
  • the cancer may be malignant.
  • the cancer may be benign.
  • the cancer may be a recurrent and/or refractory cancer. Most cancers can be classified as a carcinoma, sarcoma, leukemia, lymphoma, myeloma, or a central nervous system cancer.
  • the cancer may be a sarcoma.
  • Sarcomas are cancers of the bone, cartilage, fat, muscle, blood vessels, or other connective or supportive tissue.
  • Sarcomas include, but are not limited to, bone cancer, fibrosarcoma, chondrosarcoma, Ewing's sarcoma, malignant hemangioendothelioma, malignant schwannoma, bilateral vestibular schwannoma, osteosarcoma, soft tissue sarcomas (e.g.
  • alveolar soft part sarcoma alveolar soft part sarcoma, angiosarcoma, cystosarcoma phylloides, dermatofibrosarcoma, desmoid tumor, epithelioid sarcoma, extraskeletal osteosarcoma, fibrosarcoma, hemangiopericytoma, hemangiosarcoma, Kaposi's sarcoma, leiomyosarcoma, liposarcoma, lymphangiosarcoma, lymphosarcoma, malignant fibrous histiocytoma, neurofibrosarcoma, rhabdomyosarcoma, and synovial sarcoma).
  • the cancer may be a carcinoma.
  • Carcinomas are cancers that begin in the epithelial cells, which are cells that cover the surface of the body, produce hormones, and make up glands.
  • carcinomas include breast cancer, pancreatic cancer, lung cancer, colon cancer, colorectal cancer, rectal cancer, kidney cancer, bladder cancer, stomach cancer, prostate cancer, liver cancer, ovarian cancer, brain cancer, vaginal cancer, vulvar cancer, uterine cancer, oral cancer, penic cancer, testicular cancer, esophageal cancer, skin cancer, cancer of the fallopian tubes, head and neck cancer, gastrointestinal stromal cancer, adenocarcinoma, cutaneous or intraocular melanoma, cancer of the anal region, cancer of the small intestine, cancer of the endocrine system, cancer of the thyroid gland, cancer of the parathyroid gland, cancer of the adrenal gland, cancer of the urethra, cancer of the renal pelvis, cancer of the ureter, cancer of the
  • the cancer is a skin cancer, such as a basal cell carcinoma, squamous, melanoma, nonmelanoma, or actinic (solar) keratosis.
  • the cancer is a prostate cancer.
  • the cancer may be a thyroid cancer, bladder cancer, or pancreatic cancer.
  • the cancer is a lung cancer.
  • Lung cancer can start in the airways that branch off the trachea to supply the lungs (bronchi) or the small air sacs of the lung (the alveoli).
  • Lung cancers include non-small cell lung carcinoma (NSCLC), small cell lung carcinoma, and mesotheliomia.
  • NSCLC non-small cell lung carcinoma
  • Examples of NSCLC include squamous cell carcinoma, adenocarcinoma, and large cell carcinoma.
  • the mesothelioma may be a cancerous tumor of the lining of the lung and chest cavity (pleura) or lining of the abdomen (peritoneum). The mesothelioma may be due to asbestos exposure.
  • the cancer may be a brain cancer, such as a glioblastoma.
  • the cancer may be a central nervous system (CNS) tumor.
  • CNS tumors may be classified as gliomas or nongliomas.
  • the glioma may be malignant glioma, high grade glioma, diffuse intrinsic pontine glioma. Examples of gliomas include astrocytomas, oligodendrogliomas (or mixtures of oligodendroglioma and astocytoma elements), and ependymomas.
  • Astrocytomas include, but are not limited to, low-grade astrocytomas, anaplastic astrocytomas, glioblastoma multiforme, pilocytic astrocytoma, pleomorphic xanthoastrocytoma, and subependymal giant cell astrocytoma.
  • Oligodendrogliomas include low-grade oligodendrogliomas (or oligoastrocytomas) and anaplastic oligodendriogliomas.
  • Nongliomas include meningiomas, pituitary adenomas, primary CNS lymphomas, and medulloblastomas.
  • the cancer is a meningioma.
  • the cancer may be a leukemia.
  • the leukemia may be an acute lymphocytic leukemia, acute myelocytic leukemia, chronic lymphocytic leukemia, or chronic myelocytic leukemia. Additional types of leukemias include hairy cell leukemia, chronic myelomonocytic leukemia, and juvenile myelomonocytic-leukemia.
  • the cancer is a lymphoma.
  • Lymphomas are cancers of the lymphocytes and may develop from either B or T lymphocytes.
  • the two major types of lymphoma are Hodgkin's lymphoma, previously known as Hodgkin's disease, and non-Hodgkin's lymphoma.
  • Hodgkin's lymphoma is marked by the presence of the Reed-Sternberg cell.
  • Non-Hodgkin's lymphomas are all lymphomas which are not Hodgkin's lymphoma.
  • Non-Hodgkin lymphomas may be indolent lymphomas and aggressive lymphomas.
  • Non-Hodgkin's lymphomas include, but are not limited to, diffuse large B cell lymphoma, follicular lymphoma, mucosa-associated lymphatic tissue lymphoma (MALT), small cell lymphocytic lymphoma, mantle cell lymphoma, Burkitt's lymphoma, mediastinal large B cell lymphoma, Waldenström macroglobulinemia, nodal marginal zone B cell lymphoma (NMZL), splenic marginal zone lymphoma (SMZL), extranodal marginal zone B cell lymphoma, intravascular large B cell lymphoma, primary effusion lymphoma, and lymphomatoid granulomatosis.
  • MALT mucosa-associated lymphatic tissue lymphoma
  • MALT mucosa-associated lymphatic tissue lymphoma
  • small cell lymphocytic lymphoma mantle cell lymphoma
  • Burkitt's lymphoma mediastinal large B cell
  • Diagnosing, predicting, or monitoring a status or outcome of a cancer may comprise determining the stage of the cancer.
  • the stage of a cancer is a description (usually numbers I to IV with IV having more progression) of the extent the cancer has spread.
  • the stage often takes into account the size of a tumor, how deeply it has penetrated, whether it has invaded adjacent organs, how many lymph nodes it has metastasized to (if any), and whether it has spread to distant organs.
  • Staging of cancer can be used as a predictor of survival, and cancer treatment may be determined by staging. Determining the stage of the cancer may occur before, during, or after treatment. The stage of the cancer may also be determined at the time of diagnosis.
  • Cancer staging can be divided into a clinical stage and a pathologic stage.
  • Cancer staging may comprise the TNM classification.
  • TNM Classification of Malignant Tumours is a cancer staging system that describes the extent of cancer in a patient's body. T may describe the size of the tumor and whether it has invaded nearby tissue, N may describe regional lymph nodes that are involved, and M may describe distant metastasis (spread of cancer from one body part to another).
  • TNM Tumor, Node, Metastasis
  • clinical stage and pathologic stage are denoted by a small “c” or “p” before the stage (e.g., cT3N1M0 or pT2N0).
  • Clinical stage may be based on all of the available information obtained before a surgery to remove the tumor. Thus, it may include information about the tumor obtained by physical examination, radiologic examination, and endoscopy.
  • Pathologic stage can add additional information gained by examination of the tumor microscopically by a pathologist.
  • Pathologic staging can allow direct examination of the tumor and its spread, contrasted with clinical staging which may be limited by the fact that the information is obtained by making indirect observations at a tumor which is still in the body.
  • the TNM staging system can be used for most forms of cancer.
  • staging may comprise Ann Arbor staging.
  • Ann Arbor staging is the staging system for lymphomas, both in Hodgkin's lymphoma (previously called Hodgkin's disease) and Non-Hodgkin lymphoma (abbreviated NHL).
  • the stage may depend on both the place where the malignant tissue is located (as located with biopsy, CT scanning and increasingly positron emission tomography) and on systemic symptoms due to the lymphoma (“B symptoms”: night sweats, weight loss of >10% or fevers).
  • B symptoms night sweats, weight loss of >10% or fevers
  • the principal stage may be determined by location of the tumor.
  • Stage I may indicate that the cancer is located in a single region, usually one lymph node and the surrounding area. Stage I often may not have outward symptoms.
  • Stage II can indicate that the cancer is located in two separate regions, an affected lymph node or organ and a second affected area, and that both affected areas are confined to one side of the diaphragm—that is, both are above the diaphragm, or both are below the diaphragm.
  • Stage III often indicates that the cancer has spread to both sides of the diaphragm, including one organ or area near the lymph nodes or the spleen.
  • Stage IV may indicate diffuse or disseminated involvement of one or more extralymphatic organs, including any involvement of the liver, bone marrow, or nodular involvement of the lungs.
  • Modifiers may also be appended to some stages.
  • a or B may indicate the absence of constitutional (B-type) symptoms is denoted by adding an “A” to the stage; the presence is denoted by adding a “B” to the stage.
  • E can be used if the disease is “extranodal” (not in the lymph nodes) or has spread from lymph nodes to adjacent tissue.
  • X is often used if the largest deposit is >10 cm large (“bulky disease”), or whether the mediastinum is wider than 1 ⁇ 3 of the chest on a chest X-ray.
  • S may be used if the disease has spread to the spleen.
  • CS may denote that the clinical stage as obtained by doctor's examinations and tests.
  • PS may denote that the pathological stage as obtained by exploratory laparotomy (surgery performed through an abdominal incision) with splenectomy (surgical removal of the spleen).
  • Diagnosing, predicting, or monitoring a status or outcome of a cancer may comprise treating a cancer or preventing a cancer progression.
  • diagnosing, predicting, or monitoring a status or outcome of a cancer may comprise identifying or predicting responders to an anti-cancer therapy.
  • diagnosing, predicting, or monitoring may comprise determining a therapeutic regimen. Determining a therapeutic regimen may comprise administering an anti-cancer therapy. Alternatively, determining a therapeutic regimen may comprise modifying, recommending, continuing or discontinuing an anti-cancer regimen.
  • the expression patterns can be used to designate one or more treatment modalities (e.g., therapeutic regimens, anti-cancer regimen).
  • An anti-cancer regimen may comprise one or more anti-cancer therapies. Examples of anti-cancer therapies include surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, photodynamic therapy.
  • Surgical oncology uses surgical methods to diagnose, stage, and treat cancer, and to relieve certain cancer-related symptoms.
  • Surgery may be used to remove the tumor (e.g., excisions, resections, debulking surgery), reconstruct a part of the body (e.g., restorative surgery), and/or to relieve symptoms such as pain (e.g., palliative surgery).
  • Surgery may also include cryosurgery.
  • Cryosurgery also called cryotherapy
  • Cryosurgery may use extreme cold produced by liquid nitrogen (or argon gas) to destroy abnormal tissue.
  • Cryosurgery can be used to treat external tumors, such as those on the skin.
  • liquid nitrogen can be applied directly to the cancer cells with a cotton swab or spraying device.
  • Cryosurgery may also be used to treat tumors inside the body (internal tumors and tumors in the bone).
  • liquid nitrogen or argon gas may be circulated through a hollow instrument called a cryoprobe, which is placed in contact with the tumor.
  • An ultrasound or MRI may be used to guide the cryoprobe and monitor the freezing of the cells, thus limiting damage to nearby healthy tissue.
  • a ball of ice crystals may form around the probe, freezing nearby cells.
  • more than one probe is used to deliver the liquid nitrogen to various parts of the tumor. The probes may be put into the tumor during surgery or through the skin (percutaneously). After cryosurgery, the frozen tissue thaws and may be naturally absorbed by the body (for internal tumors), or may dissolve and form a scab (for external tumors).
  • Chemotherapeutic agents may also be used for the treatment of cancer.
  • examples of chemotherapeutic agents include alkylating agents, anti-metabolites, plant alkaloids and terpenoids, vinca alkaloids, podophyllotoxin, taxanes, topoisomerase inhibitors, and cytotoxic antibiotics.
  • Cisplatin, carboplatin, and oxaliplatin are examples of alkylating agents.
  • Other alkylating agents include mechlorethamine, cyclophosphamide, chlorambucil, ifosfamide.
  • Alkylating agents may impair cell function by forming covalent bonds with the amino, carboxyl, sulfhydryl, and phosphate groups in biologically important molecules.
  • alkylating agents may chemically modify a cell's DNA.
  • Anti-metabolites are another example of chemotherapeutic agents. Anti-metabolites may masquerade as purines or pyrimidines and may prevent purines and pyrimidines from becoming incorporated in to DNA during the “S” phase (of the cell cycle), thereby stopping normal development and division. Antimetabolites may also affect RNA synthesis. Examples of metabolites include azathioprine and mercaptopurine.
  • Alkaloids may be derived from plants and block cell division may also be used for the treatment of cancer. Alkyloids may prevent microtubule function. Examples of alkaloids are vinca alkaloids and taxanes. Vinca alkaloids may bind to specific sites on tubulin and inhibit the assembly of tubulin into microtubules (M phase of the cell cycle). The vinca alkaloids may be derived from the Madagascar periwinkle, Catharanthus roseus (formerly known as Vinca rosea ). Examples of vinca alkaloids include, but are not limited to, vincristine, vinblastine, vinorelbine, or vindesine. Taxanes are diterpenes produced by the plants of the genus Taxus (yews).
  • Taxanes may be derived from natural sources or synthesized artificially. Taxanes include paclitaxel (Taxol) and docetaxel (Taxotere). Taxanes may disrupt microtubule function. Microtubules are essential to cell division, and taxanes may stabilize GDP-bound tubulin in the microtubule, thereby inhibiting the process of cell division. Thus, in essence, taxanes may be mitotic inhibitors. Taxanes may also be radiosensitizing and often contain numerous chiral centers.
  • chemotherapeutic agents include podophyllotoxin.
  • Podophyllotoxin is a plant-derived compound that may help with digestion and may be used to produce cytostatic drugs such as etoposide and teniposide. They may prevent the cell from entering the G1 phase (the start of DNA replication) and the replication of DNA (the S phase).
  • Topoisomerases are essential enzymes that maintain the topology of DNA. Inhibition of type I or type II topoisomerases may interfere with both transcription and replication of DNA by upsetting proper DNA supercoiling. Some chemotherapeutic agents may inhibit topoisomerases.
  • some type I topoisomerase inhibitors include camptothecins: irinotecan and topotecan. Examples of type II inhibitors include amsacrine, etoposide, etoposide phosphate, and teniposide.
  • Cytotoxic antibiotics are a group of antibiotics that are used for the treatment of cancer because they may interfere with DNA replication and/or protein synthesis. Cytotoxic antiobiotics include, but are not limited to, actinomycin, anthracyclines, doxorubicin, daunorubicin, valrubicin, idarubicin, epirubicin, bleomycin, plicamycin, and mitomycin.
  • the anti-cancer treatment may comprise radiation therapy.
  • Radiation can come from a machine outside the body (external-beam radiation therapy) or from radioactive material placed in the body near cancer cells (internal radiation therapy, more commonly called brachytherapy).
  • Systemic radiation therapy uses a radioactive substance, given by mouth or into a vein that travels in the blood to tissues throughout the body.
  • External-beam radiation therapy may be delivered in the form of photon beams (either x-rays or gamma rays).
  • a photon is the basic unit of light and other forms of electromagnetic radiation.
  • An example of external-beam radiation therapy is called 3-dimensional conformal radiation therapy (3D-CRT).
  • 3D-CRT may use computer software and advanced treatment machines to deliver radiation to very precisely shaped target areas.
  • Many other methods of external-beam radiation therapy are currently being tested and used in cancer treatment. These methods include, but are not limited to, intensity-modulated radiation therapy (IMRT), image-guided radiation therapy (IGRT), Stereotactic radiosurgery (SRS), Stereotactic body radiation therapy (SBRT), and proton therapy.
  • IMRT intensity-modulated radiation therapy
  • IGRT image-guided radiation therapy
  • SRS Stereotactic radiosurgery
  • SBRT Stereotactic body radiation therapy
  • IMRT Intensity-modulated radiation therapy
  • collimators can be stationary or can move during treatment, allowing the intensity of the radiation beams to change during treatment sessions.
  • This kind of dose modulation allows different areas of a tumor or nearby tissues to receive different doses of radiation.
  • IMRT is planned in reverse (called inverse treatment planning) In inverse treatment planning, the radiation doses to different areas of the tumor and surrounding tissue are planned in advance, and then a high-powered computer program calculates the required number of beams and angles of the radiation treatment.
  • IMRT In contrast, during traditional (forward) treatment planning, the number and angles of the radiation beams are chosen in advance and computers calculate how much dose may be delivered from each of the planned beams.
  • the goal of IMRT is to increase the radiation dose to the areas that need it and reduce radiation exposure to specific sensitive areas of surrounding normal tissue.
  • IGRT image-guided radiation therapy
  • CT computed tomography
  • MRI magnetic resonance imaging
  • PET magnetic resonance imaging
  • CT computed tomography
  • MRI magnetic resonance imaging
  • PET magnetic resonance imaging
  • Imaging scans may be processed by computers to identify changes in a tumor's size and location due to treatment and to allow the position of the patient or the planned radiation dose to be adjusted during treatment as needed.
  • Repeated imaging can increase the accuracy of radiation treatment and may allow reductions in the planned volume of tissue to be treated, thereby decreasing the total radiation dose to normal tissue.
  • Tomotherapy is a type of image-guided IMRT.
  • a tomotherapy machine is a hybrid between a CT imaging scanner and an external-beam radiation therapy machine.
  • the part of the tomotherapy machine that delivers radiation for both imaging and treatment can rotate completely around the patient in the same manner as a normal CT scanner.
  • Tomotherapy machines can capture CT images of the patient's tumor immediately before treatment sessions, to allow for very precise tumor targeting and sparing of normal tissue.
  • Stereotactic radiosurgery can deliver one or more high doses of radiation to a small tumor.
  • SRS uses extremely accurate image-guided tumor targeting and patient positioning. Therefore, a high dose of radiation can be given without excess damage to normal tissue.
  • SRS can be used to treat small tumors with well-defined edges. It is most commonly used in the treatment of brain or spinal tumors and brain metastases from other cancer types. For the treatment of some brain metastases, patients may receive radiation therapy to the entire brain (called whole-brain radiation therapy) in addition to SRS.
  • SRS requires the use of a head frame or other device to immobilize the patient during treatment to ensure that the high dose of radiation is delivered accurately.
  • SBRT Stereotactic body radiation therapy
  • SBRT delivers radiation therapy in fewer sessions, using smaller radiation fields and higher doses than 3D-CRT in most cases.
  • SBRT may treat tumors that lie outside the brain and spinal cord. Because these tumors are more likely to move with the normal motion of the body, and therefore cannot be targeted as accurately as tumors within the brain or spine, SBRT is usually given in more than one dose.
  • SBRT can be used to treat small, isolated tumors, including cancers in the lung and liver.
  • SBRT systems may be known by their brand names, such as the CyberKnife®.
  • Protons are a type of charged particle. Proton beams differ from photon beams mainly in the way they deposit energy in living tissue. Whereas photons deposit energy in small packets all along their path through tissue, protons deposit much of their energy at the end of their path (called the Bragg peak) and deposit less energy along the way. Use of protons may reduce the exposure of normal tissue to radiation, possibly allowing the delivery of higher doses of radiation to a tumor.
  • Other charged particle beams such as electron beams may be used to irradiate superficial tumors, such as skin cancer or tumors near the surface of the body, but they cannot travel very far through tissue.
  • brachytherapy Internal radiation therapy
  • radiation sources radiation sources
  • brachytherapy techniques are used in cancer treatment.
  • Interstitial brachytherapy may use a radiation source placed within tumor tissue, such as within a prostate tumor.
  • Intracavitary brachytherapy may use a source placed within a surgical cavity or a body cavity, such as the chest cavity, near a tumor.
  • Episcleral brachytherapy which may be used to treat melanoma inside the eye, may use a source that is attached to the eye.
  • radioactive isotopes can be sealed in tiny pellets or “seeds.” These seeds may be placed in patients using delivery devices, such as needles, catheters, or some other type of carrier. As the isotopes decay naturally, they give off radiation that may damage nearby cancer cells.
  • Brachytherapy may be able to deliver higher doses of radiation to some cancers than external-beam radiation therapy while causing less damage to normal tissue.
  • Brachytherapy can be given as a low-dose-rate or a high-dose-rate treatment.
  • low-dose-rate treatment cancer cells receive continuous low-dose radiation from the source over a period of several days.
  • high-dose-rate treatment a robotic machine attached to delivery tubes placed inside the body may guide one or more radioactive sources into or near a tumor, and then removes the sources at the end of each treatment session.
  • High-dose-rate treatment can be given in one or more treatment sessions.
  • An example of a high-dose-rate treatment is the MammoSite® system.
  • Bracytherapy may be used to treat patients with breast cancer who have undergone breast-conserving surgery.
  • brachytherapy sources can be temporary or permanent.
  • the sources may be surgically sealed within the body and left there, even after all of the radiation has been given off. In some instances, the remaining material (in which the radioactive isotopes were sealed) does not cause any discomfort or harm to the patient.
  • Permanent brachytherapy is a type of low-dose-rate brachytherapy.
  • tubes (catheters) or other carriers are used to deliver the radiation sources, and both the carriers and the radiation sources are removed after treatment.
  • Temporary brachytherapy can be either low-dose-rate or high-dose-rate treatment.
  • Brachytherapy may be used alone or in addition to external-beam radiation therapy to provide a “boost” of radiation to a tumor while sparing surrounding normal tissue.
  • Radioactive iodine 131I
  • a monoclonal antibody may help target the radioactive substance to the right place. The antibody joined to the radioactive substance travels through the blood, locating and killing tumor cells.
  • the drug ibritumomab tiuxetan may be used for the treatment of certain types of B-cell non-Hodgkin lymphoma (NHL).
  • the antibody part of this drug recognizes and binds to a protein found on the surface of B lymphocytes.
  • the combination drug regimen of tositumomab and iodine I 131 tositumomab (Bexxar®) may be used for the treatment of certain types of cancer, such as NHL.
  • nonradioactive tositumomab antibodies may be given to patients first, followed by treatment with tositumomab antibodies that have 131I attached.
  • Tositumomab may recognize and bind to the same protein on B lymphocytes as ibritumomab.
  • the nonradioactive form of the antibody may help protect normal B lymphocytes from being damaged by radiation from 131I.
  • Some systemic radiation therapy drugs relieve pain from cancer that has spread to the bone (bone metastases). This is a type of palliative radiation therapy.
  • the radioactive drugs samarium-153-lexidronam (Quadramet®) and strontium-89 chloride (Metastron®) are examples of radiopharmaceuticals may be used to treat pain from bone metastases.
  • Biological therapy (sometimes called immunotherapy, biotherapy, or biological response modifier (BRM) therapy) uses the body's immune system, either directly or indirectly, to fight cancer or to lessen the side effects that may be caused by some cancer treatments.
  • Biological therapies include interferons, interleukins, colony-stimulating factors, monoclonal antibodies, vaccines, gene therapy, and nonspecific immunomodulating agents.
  • Interferons are types of cytokines that occur naturally in the body. Interferon alpha, interferon beta, and interferon gamma are examples of interferons that may be used in cancer treatment.
  • interleukins are cytokines that occur naturally in the body and can be made in the laboratory. Many interleukins have been identified for the treatment of cancer. For example, interleukin-2 (IL-2 or aldesleukin), interleukin 7, and interleukin 12 have may be used as an anti-cancer treatment. IL-2 may stimulate the growth and activity of many immune cells, such as lymphocytes, that can destroy cancer cells. Interleukins may be used to treat a number of cancers, including leukemia, lymphoma, and brain, colorectal, ovarian, breast, kidney and prostate cancers.
  • Colony-stimulating factors may also be used for the treatment of cancer.
  • CSFs include, but are not limited to, G-CSF (filgrastim) and GM-CSF (sargramostim).
  • CSFs may promote the division of bone marrow stem cells and their development into white blood cells, platelets, and red blood cells. Bone marrow is critical to the body's immune system because it is the source of all blood cells.
  • CSFs may be combined with other anti-cancer therapies, such as chemotherapy.
  • CSFs may be used to treat a large variety of cancers, including lymphoma, leukemia, multiple myeloma, melanoma, and cancers of the brain, lung, esophagus, breast, uterus, ovary, prostate, kidney, colon, and rectum.
  • MOABs monoclonal antibodies
  • a human cancer cells may be injected into mice.
  • the mouse immune system can make antibodies against these cancer cells.
  • the mouse plasma cells that produce antibodies may be isolated and fused with laboratory-grown cells to create “hybrid” cells called hybridomas.
  • Hybridomas can indefinitely produce large quantities of these pure antibodies, or MOABs.
  • MOABs may be used in cancer treatment in a number of ways. For instance, MOABs that react with specific types of cancer may enhance a patient's immune response to the cancer. MOABs can be programmed to act against cell growth factors, thus interfering with the growth of cancer cells.
  • MOABs may be linked to other anti-cancer therapies such as chemotherapeutics, radioisotopes (radioactive substances), other biological therapies, or other toxins. When the antibodies latch onto cancer cells, they deliver these anti-cancer therapies directly to the tumor, helping to destroy it. MOABs carrying radioisotopes may also prove useful in diagnosing certain cancers, such as colorectal, ovarian, and prostate.
  • Rituxan® (rituximab) and Herceptin® (trastuzumab) are examples of MOABs that may be used as a biological therapy.
  • Rituxan may be used for the treatment of non-Hodgkin lymphoma.
  • Herceptin can be used to treat metastatic breast cancer in patients with tumors that produce excess amounts of a protein called HER2.
  • MOABs may be used to treat lymphoma, leukemia, melanoma, and cancers of the brain, breast, lung, kidney, colon, rectum, ovary, prostate, and other areas.
  • Cancer vaccines are another form of biological therapy. Cancer vaccines may be designed to encourage the patient's immune system to recognize cancer cells. Cancer vaccines may be designed to treat existing cancers (therapeutic vaccines) or to prevent the development of cancer (prophylactic vaccines). Therapeutic vaccines may be injected in a person after cancer is diagnosed. These vaccines may stop the growth of existing tumors, prevent cancer from recurring, or eliminate cancer cells not killed by prior treatments. Cancer vaccines given when the tumor is small may be able to eradicate the cancer. On the other hand, prophylactic vaccines are given to healthy individuals before cancer develops. These vaccines are designed to stimulate the immune system to attack viruses that can cause cancer. By targeting these cancer-causing viruses, development of certain cancers may be prevented.
  • cervarix and gardasil are vaccines to treat human papilloma virus and may prevent cervical cancer.
  • Therapeutic vaccines may be used to treat melanoma, lymphoma, leukemia, and cancers of the brain, breast, lung, kidney, ovary, prostate, pancreas, colon, and rectum. Cancer vaccines can be used in combination with other anti-cancer therapies.
  • Gene therapy is another example of a biological therapy.
  • Gene therapy may involve introducing genetic material into a person's cells to fight disease.
  • Gene therapy methods may improve a patient's immune response to cancer.
  • a gene may be inserted into an immune cell to enhance its ability to recognize and attack cancer cells.
  • cancer cells may be injected with genes that cause the cancer cells to produce cytokines and stimulate the immune system.
  • biological therapy includes nonspecific immunomodulating agents.
  • Nonspecific immunomodulating agents are substances that stimulate or indirectly augment the immune system. Often, these agents target key immune system cells and may cause secondary responses such as increased production of cytokines and immunoglobulins.
  • Two nonspecific immunomodulating agents used in cancer treatment are bacillus Calmette-Guerin (BCG) and levamisole.
  • BCG may be used in the treatment of superficial bladder cancer following surgery. BCG may work by stimulating an inflammatory, and possibly an immune, response. A solution of BCG may be instilled in the bladder.
  • Levamisole is sometimes used along with fluorouracil (5-FU) chemotherapy in the treatment of stage III (Dukes' C) colon cancer following surgery. Levamisole may act to restore depressed immune function.
  • Photodynamic therapy is an anti-cancer treatment that may use a drug, called a photosensitizer or photosensitizing agent, and a particular type of light.
  • a photosensitizer or photosensitizing agent When photosensitizers are exposed to a specific wavelength of light, they may produce a form of oxygen that kills nearby cells.
  • a photosensitizer may be activated by light of a specific wavelength. This wavelength determines how far the light can travel into the body. Thus, photosensitizers and wavelengths of light may be used to treat different areas of the body with PDT.
  • a photosensitizing agent may be injected into the bloodstream.
  • the agent may be absorbed by cells all over the body but may stay in cancer cells longer than it does in normal cells. Approximately 24 to 72 hours after injection, when most of the agent has left normal cells but remains in cancer cells, the tumor can be exposed to light.
  • the photosensitizer in the tumor can absorb the light and produces an active form of oxygen that destroys nearby cancer cells.
  • PDT may shrink or destroy tumors in two other ways. The photosensitizer can damage blood vessels in the tumor, thereby preventing the cancer from receiving necessary nutrients. PDT may also activate the immune system to attack the tumor cells.
  • the light used for PDT can come from a laser or other sources.
  • Laser light can be directed through fiber optic cables (thin fibers that transmit light) to deliver light to areas inside the body.
  • a fiber optic cable can be inserted through an endoscope (a thin, lighted tube used to look at tissues inside the body) into the lungs or esophagus to treat cancer in these organs.
  • Other light sources include light-emitting diodes (LEDs), which may be used for surface tumors, such as skin cancer.
  • PDT is usually performed as an outpatient procedure. PDT may also be repeated and may be used with other therapies, such as surgery, radiation, or chemotherapy.
  • Extracorporeal photopheresis is a type of PDT in which a machine may be used to collect the patient's blood cells.
  • the patient's blood cells may be treated outside the body with a photosensitizing agent, exposed to light, and then returned to the patient.
  • ECP may be used to help lessen the severity of skin symptoms of cutaneous T-cell lymphoma that has not responded to other therapies.
  • ECP may be used to treat other blood cancers, and may also help reduce rejection after transplants.
  • photosensitizing agent such as porfimer sodium or Photofrin®
  • Porfimer sodium may relieve symptoms of esophageal cancer when the cancer obstructs the esophagus or when the cancer cannot be satisfactorily treated with laser therapy alone.
  • Porfimer sodium may be used to treat non-small cell lung cancer in patients for whom the usual treatments are not appropriate, and to relieve symptoms in patients with non-small cell lung cancer that obstructs the airways.
  • Porfimer sodium may also be used for the treatment of precancerous lesions in patients with Barrett esophagus, a condition that can lead to esophageal cancer.
  • Laser therapy may use high-intensity light to treat cancer and other illnesses.
  • Lasers can be used to shrink or destroy tumors or precancerous growths.
  • Lasers are most commonly used to treat superficial cancers (cancers on the surface of the body or the lining of internal organs) such as basal cell skin cancer and the very early stages of some cancers, such as cervical, penile, vaginal, vulvar, and non-small cell lung cancer.
  • Lasers may also be used to relieve certain symptoms of cancer, such as bleeding or obstruction.
  • lasers can be used to shrink or destroy a tumor that is blocking a patient's trachea (windpipe) or esophagus.
  • Lasers also can be used to remove colon polyps or tumors that are blocking the colon or stomach.
  • Laser therapy is often given through a flexible endoscope (a thin, lighted tube used to look at tissues inside the body).
  • the endoscope is fitted with optical fibers (thin fibers that transmit light). It is inserted through an opening in the body, such as the mouth, nose, anus, or vagina. Laser light is then precisely aimed to cut or destroy a tumor.
  • LITT Laser-induced interstitial thermotherapy
  • interstitial laser photocoagulation also uses lasers to treat some cancers.
  • LITT is similar to a cancer treatment called hyperthermia, which uses heat to shrink tumors by damaging or killing cancer cells.
  • hyperthermia a cancer treatment
  • an optical fiber is inserted into a tumor. Laser light at the tip of the fiber raises the temperature of the tumor cells and damages or destroys them. LITT is sometimes used to shrink tumors in the liver.
  • Laser therapy can be used alone, but most often it is combined with other treatments, such as surgery, chemotherapy, or radiation therapy.
  • lasers can seal nerve endings to reduce pain after surgery and seal lymph vessels to reduce swelling and limit the spread of tumor cells.
  • Lasers used to treat cancer may include carbon dioxide (CO2) lasers, argon lasers, and neodymium:yttrium-aluminum-garnet (Nd:YAG) lasers. Each of these can shrink or destroy tumors and can be used with endoscopes. CO2 and argon lasers can cut the skin's surface without going into deeper layers. Thus, they can be used to remove superficial cancers, such as skin cancer. In contrast, the Nd:YAG laser is more commonly applied through an endoscope to treat internal organs, such as the uterus, esophagus, and colon. Nd:YAG laser light can also travel through optical fibers into specific areas of the body during LITT. Argon lasers are often used to activate the drugs used in PDT.
  • CO2 and argon lasers can cut the skin's surface without going into deeper layers. Thus, they can be used to remove superficial cancers, such as skin cancer.
  • the Nd:YAG laser is more commonly applied through an endoscope to treat internal organs
  • adjuvant chemotherapy e.g., docetaxel, mitoxantrone and prednisone
  • systemic radiation therapy e.g., samarium or strontium
  • anti-androgen therapy e.g., surgical castration, finasteride, dutasteride
  • Such patients would likely be treated immediately with anti-androgen therapy alone or in combination with radiation therapy in order to eliminate presumed micro-metastatic disease, which cannot be detected clinically but can be revealed by the target sequence expression signature.
  • Such patients can also be more closely monitored for signs of disease progression.
  • patients with intermediate test scores consistent with biochemical recurrence only BCR-only or elevated PSA that does not rapidly become manifested as systemic disease only localized adjuvant therapy (e.g., radiation therapy of the prostate bed) or short course of anti-androgen therapy would likely be administered.
  • systemic disease only localized adjuvant therapy e.g., radiation therapy of the prostate bed
  • NED no evidence of disease
  • patients with samples consistent with NED could be designated for watchful waiting, or for no treatment.
  • Patients with test scores that do not correlate with systemic disease but who have successive PSA increases could be designated for watchful waiting, increased monitoring, or lower dose or shorter duration anti-androgen therapy.
  • Target sequences can be grouped so that information obtained about the set of target sequences in the group can be used to make or assist in making a clinically relevant judgment such as a diagnosis, prognosis, or treatment choice.
  • a patient report comprising a representation of measured expression levels of a plurality of target sequences in a biological sample from the patient, wherein the representation comprises expression levels of target sequences corresponding to any one, two, three, four, five, six, eight, ten, twenty, thirty, forty, fifty or more of the target sequences corresponding to a target selected from Table 1 or SEQ ID NOs: 1-1815, the subsets described herein, or a combination thereof.
  • the representation of the measured expression level(s) may take the form of a linear or nonlinear combination of expression levels of the target sequences of interest.
  • the patient report may be provided in a machine (e.g., a computer) readable format and/or in a hard (paper) copy.
  • the report can also include standard measurements of expression levels of said plurality of target sequences from one or more sets of patients with known disease status and/or outcome.
  • the report can be used to inform the patient and/or treating physician of the expression levels of the expressed target sequences, the likely medical diagnosis and/or implications, and optionally may recommend a treatment modality for the patient.
  • the articles can also include instructions for assessing the gene expression profiles in such media.
  • the articles may comprise a readable storage form having computer instructions for comparing gene expression profiles of the portfolios of genes described above.
  • the articles may also have gene expression profiles digitally recorded therein so that they may be compared with gene expression data from patient samples.
  • the profiles can be recorded in different representational format. A graphical recordation is one such format. Clustering algorithms can assist in the visualization of such data.
  • the methods and genomic classifiers of the present invention are useful for predicting aggressive prostate cancer.
  • the methods and genomic classifiers of the present invention are used to predict patient outcomes such as biochemical recurrence (BCR), metastasis (MET) and prostate cancer death (PCSM) after radical prostatectomy.
  • the methods and genomic classifiers of the present invention are used to predict patient outcomes such as distant metastasis-free survival (DMFS), biochemical recurrence-free survival (bRFS), prostate cancer specific survival (PCSS), and overall survival (OS).
  • DMFS distant metastasis-free survival
  • bRFS biochemical recurrence-free survival
  • PCSS prostate cancer specific survival
  • OS overall survival
  • the methods and genomic classifiers of the present invention are useful for predicting prostate cancer metastasis following radical prostatectomy. In other embodiments, the methods and genomic classifiers of the present invention are useful for determining a course of treatment following radical prostatectomy.
  • Example 1 A Genomic Classifier to Predict Aggressive Prostate Cancer in Humans
  • RP radical prostatectomy
  • the remaining 70% (n 4,698) of the prospectively collected RP samples, as well as 1,694 prospectively collected biopsy samples and 253 retrospectively collected biopsy samples (with known pathological variables at RP) were used as validation cohorts for the novel genomic model.
  • Affymetrix Human Exon 1.0 ST microarray (Affymetrix, Santa Clara, Calif.) data were obtained from the formalin-fixed paraffin-embedded biopsy and RP specimens described above. Microarray processing was performed in a CLIA-certified clinical operations laboratory (GenomeDx Biosciences, Inc, San Diego, Calif.). Microarrays were normalized using Single Channel Array Normalization. (Piccolo et al. Genomics. 2012; 100(6):337-344.)
  • the first step in the model development was to assign a metastasis score to a large prospective cohort of 1,539 patients into high metastatic risk and low metastatic risk using the validated Decipher signature (DV1).
  • DV1 and GS ⁇ 8 were grouped into high aggressiveness category (high DV1 and GS ⁇ 8) and low aggressiveness category (low DV1 and GS ⁇ 7).
  • DV2 novel genomics classifier
  • LAD low aggressive disease
  • HAD high aggressive disease
  • the primary endpoint of the analysis is high stage disease, which is defined as pathological stage T3b or above or node positive at RP.
  • the secondary endpoint is high grade disease, which is defined as pathological Gleason Grade Group 4 to 5.
  • Analysis were performed in both prospective and retrospective biopsy sets. Age, pretreatment PSA (log 2 transformed) and percent positive cores were modeled as continuous variables, and clinical stage, clinical Gleason Scores were treated as categorical variables. NCCN risk category was calculated using clinical stage, clinical Gleason and pretreatment PSA. The association between the genomic models and clinical pathological features were evacuated using Spearman's rank correlation. The performance of clinical model, DV1 and DV2 were compared using area under ROC curves, univariable and multivariable logistic regression models. Firth's penalized likelihood method was used in the retrospective biopsy set to adjust for rare event.
  • the corresponding AUCs for predicting any upgrade among the Grade Group 1 tumors were 0.61 and 0.63 for DV1 and DV2; compared to 0.59, 0.55 and 0.58 for age, PSA and percent positive cores, respectively ( FIG. 6C ).
  • each 0.1 change in DV1 and DV2 scores were associated with 29% and 30% increased odds of up-grading on re-review (Table 3).
  • both models were significant predictors of up-grading to 4+3 or above in both UVA and MVA analyses (data not shown).
  • genomic classifiers of the present invention are useful for predicting presence of higher-grade disease in prostate cancer subjects. These results further showed that genomic classifiers of the present invention are useful for predicting metastasis in prostate cancer subjects. These results suggested that the methods and markers of the present invention would be useful for diagnosing, prognosing, determining the progression of cancer, or predicting benefit from therapy in a subject having prostate cancer. The results showed that the subtyping methods of the present invention may be used to determine a treatment for a subject with prostate cancer.
  • Example 1 The genomic classifiers described in Example 1 above were further validated as follows. Expression profiles from assays of biopsy and radical prostatectomy (RP) tumor tissue specimens from multiple patient cohorts were analyzed. This included genome-wide expression, treatment and outcomes data from prostate cancer patients treated with RP retrospective institutional cohorts and pathological data from clinical use of the Decipher RP test.
  • RP radical prostatectomy
  • genomic classifiers DV1 and DV2 RP clinical validation of the genomic classifiers (DV1 and DV2) ability to prognosticate the development of postoperative metastasis at 5 years and 10 years was determined. As shown in Table 8 below, genomic classifiers DV1 and DV2 were prognostic for 5-year metastasis and 10-year metastasis. Similar results were observed for prostate-cancer specific mortality end-point (See Table 9). Multivariable analysis further demonstrated that the prognostic information in the GC models is independent of clinical risk factors.
  • Treatment guidance including adjuvant radiotherapy and salvage radiotherapy from Decipher RP testing was determined.
  • Table 10 shows treatment guidance data for the metastasis endpoint for genomic classifiers.
  • genomic classifiers of the present invention are useful for predicting presence of higher-grade disease in prostate cancer subjects. These results further showed that genomic classifiers of the present invention are useful for predicting metastasis in prostate cancer subjects. These results suggested that the methods and markers of the present invention would be useful for diagnosing, prognosing, determining the progression of cancer, or predicting benefit from therapy in a subject having prostate cancer. The results showed that the subtyping methods of the present invention may be used to determine a treatment for a subject with prostate cancer.

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Abstract

The present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of cancer progression of prostate cancer in a subject. The invention also provides clinically useful genomic classifiers for predicting prostate cancer metastasis and identifying tumor aggressiveness. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of predicting metastatic disease and lethal prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in predicting prostate cancer metastasis in a subject. Classifiers for predicting prostate cancer metastasis are provided. Methods of treating cancer based on tumor aggressiveness are also provided. The methods and classifiers of the present invention are also useful for predicting early prostate cancer metastasis.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application is a continuation of U.S. patent application Ser. No. 15/977,249, filed May 11, 2018, entitled “GENETIC SIGNATURES TO PREDICT PROSTATE CANCER METASTASIS AND IDENTIFY TUMOR AGGRESSIVENESS”, which claims priority to the U.S. Provisional Patent Application Ser. No. 62/505,665, filed on May 12, 2017, which is hereby incorporated by reference herein in its entirety.
  • INCORPORATION OF SEQUENCE LISTING
  • The material in the accompanying sequence listing is hereby incorporated by reference into this application. The accompanying sequence listing text file, name GENDX_001C1.txt, was created on Jul. 30, 2021, and is 531 kb. The file can be assessed using Microsoft Word on a computer that uses Windows OS.
  • FIELD OF THE INVENTION
  • The present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of cancer progression of prostate cancer in a subject. The invention also provides clinically useful genomic classifiers for predicting prostate cancer metastasis and identifying tumor aggressiveness. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of predicting metastatic disease and lethal prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in predicting prostate cancer metastasis in a subject. Classifiers for predicting prostate cancer metastasis are provided. Methods of treating cancer based on tumor aggressiveness are also provided. The methods and classifiers of the present invention are also useful for predicting early prostate cancer metastasis.
  • BACKGROUND OF THE INVENTION
  • Cancer is the uncontrolled growth of abnormal cells anywhere in a body. The abnormal cells are termed cancer cells, malignant cells, or tumor cells. Many cancers and the abnormal cells that compose the cancer tissue are further identified by the name of the tissue that the abnormal cells originated from (for example, prostate cancer). Cancer cells can proliferate uncontrollably and form a mass of cancer cells. Cancer cells can break away from this original mass of cells, travel through the blood and lymph systems, and lodge in other organs where they can again repeat the uncontrolled growth cycle. This process of cancer cells leaving an area and growing in another body area is often termed metastatic spread or metastatic disease. For example, if prostate cancer cells spread to a bone (or anywhere else), it can mean that the individual has metastatic prostate cancer.
  • Standard clinical parameters such as tumor size, grade, lymph node involvement and tumor-node-metastasis (TNM) staging (American Joint Committee on Cancer http://www.cancerstaging.org) may correlate with outcome and serve to stratify patients with respect to (neo)adjuvant chemotherapy, immunotherapy, antibody therapy and/or radiotherapy regimens. Incorporation of molecular markers in clinical practice may define tumor subtypes that are more likely to respond to targeted therapy. However, stage-matched tumors grouped by histological or molecular subtypes may respond differently to the same treatment regimen. Additional key genetic and epigenetic alterations may exist with important etiological contributions. A more detailed understanding of the molecular mechanisms and regulatory pathways at work in cancer cells and the tumor microenvironment (TME) could dramatically improve the design of novel anti-tumor drugs and inform the selection of optimal therapeutic strategies. For example, methods that enable the identification of aggressive tumors would ensure that those patients are adequately treated for their cancer, while patients with low risk tumors could avoid unnecessary cancer treatment. The development and implementation of diagnostic, prognostic and therapeutic biomarkers to characterize the biology of each tumor may assist clinicians in making important decisions with regard to individual patient care and treatment. Thus, provided herein are methods, systems and kits for the diagnosis, prognosis and the determination of cancer progression of cancer in a subject. The invention also provides biomarkers that identify aggressive prostate cancer, clinically useful classifiers for predicting prostate cancer metastasis, bioinformatic methods for determining clinically useful classifiers, and methods of use of each of the foregoing. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of predicting prostate cancer metastasis in a subject. Further disclosed herein, in certain instances, are probe sets for use in predicting prostate cancer metastasis in a subject. Classifiers for predicting prostate cancer metastasis are provided. Methods of treating cancer based on tumor aggressiveness are also provided. The methods and classifiers of the present invention are also useful for predicting early prostate cancer metastasis.
  • This background information is provided for the purpose of making known information believed by the applicant to be of possible relevance to the present invention. No admission is necessarily intended, nor should be construed, that any of the preceding information constitutes prior art against the present invention.
  • SUMMARY OF THE INVENTION
  • The present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of cancer progression of cancer in a subject. The invention also provides biomarkers that define subgroups of prostate cancer, clinically useful classifiers for predicting prostate cancer aggressiveness and metastasis, bioinformatic methods for determining clinically useful classifiers, and methods of use of each of the foregoing. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of prognosing and diagnosing prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in prognosing and diagnosing prostate cancer in a subject. Classifiers for prognosing and diagnosing a prostate cancer are provided. Methods of treating cancer based on prognosis and/or diagnosis according to the present invention are also provided.
  • In one embodiment, the present invention provides a method comprising: obtaining a biological sample from a subject; and detecting the presence or assaying an expression level in the sample from the subject for a plurality of target sequences, wherein the plurality of target sequences is selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the plurality of target sequences comprises a coding and/or non-coding target. In other embodiments, the coding target is an exonic sequence. In yet other embodiments, non-coding target comprises an intronic sequence, partially overlaps an intronic sequence, a sequence within the UTR or partially overlaps with a UTR sequence. In other embodiments, the plurality of target sequences comprises a nucleic acid sequence. In still other embodiments, the nucleic acid sequence is a DNA sequence or an RNA sequence. In some embodiments, the plurality of target sequences comprises at least 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55 or 60 target sequences selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the subject has cancer. In other embodiments, the cancer is selected from the group consisting of skin cancer, lung cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, thyroid cancer, ovarian cancer, uterine cancer, breast cancer, cervical cancer, kidney cancer, epithelial carcinoma, squamous carcinoma, basal cell carcinoma, melanoma, papilloma, and adenomas. In yet other embodiments, the cancer is prostate cancer. In still other embodiments, the methods further comprise administering a treatment to the subject. In some embodiments, the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, and photodynamic therapy. In other embodiments, the biological sample is a biopsy. In yet other embodiments, the biological sample is a urine sample, a blood sample or a prostate tumor sample. In certain embodiments, the blood sample is plasma, serum, or whole blood. In other embodiments, the subject is a human.
  • In another embodiment, the present invention provides methods of diagnosing, prognosing and determining cancer progression of cancer in a subject comprising obtaining a biological sample from a subject; and detecting the presence or assaying an expression level in the sample from the subject for a plurality of target sequences, wherein the plurality of target sequences is selected from Table 1 or SEQ ID NOs: 1-1815, thereby diagnosing, prognosing and determining cancer progression of cancer in the subject. In some embodiments, the plurality of target sequences comprises a coding and/or non-coding target. In other embodiments, the coding target is an exonic sequence. In yet other embodiments, non-coding target comprises an intronic sequence, partially overlaps an intronic sequence, a sequence within the UTR or partially overlaps with a UTR sequence. In other embodiments, the plurality of target sequences comprises a nucleic acid sequence. In still other embodiments, the nucleic acid sequence is a DNA sequence or an RNA sequence. In some embodiments, the plurality of target sequences comprises at least 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55 or 60 target sequences selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the subject has cancer. In other embodiments, the cancer is selected from the group consisting of skin cancer, lung cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, thyroid cancer, ovarian cancer, uterine cancer, breast cancer, cervical cancer, kidney cancer, epithelial carcinoma, squamous carcinoma, basal cell carcinoma, melanoma, papilloma, and adenomas. In yet other embodiments, the cancer is prostate cancer. In still other embodiments, the methods further comprise administering a treatment to the subject. In some embodiments, the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, and photodynamic therapy. In other embodiments, the biological sample is a biopsy. In yet other embodiments, the biological sample is a urine sample, a blood sample or a prostate tumor sample. In certain embodiments, the blood sample is plasma, serum, or whole blood. In other embodiments, the subject is a human.
  • In other embodiments, the present invention provides methods of determining a treatment regimen for a subject having cancer comprising: obtaining a biological sample from a subject having cancer; assaying an expression level in a sample from the subject for a plurality of target sequences, wherein the plurality of target sequences is selected from Table 1 or SEQ ID NOs: 1-1815; and determining the treatment regimen for the subject. In other embodiments, the expression level is increased or reduced compared to a control. In still other embodiments, the assaying an expression level comprises performing in situ hybridization, a PCR-based method, an array-based method, an immunohistochemical method, an RNA assay method, or an immunoassay method. In other embodiments, the assaying an expression level comprises using a reagent selected from the group consisting of a nucleic acid probe, one or more nucleic acid primers, and an antibody. In yet other embodiments, the assaying an expression level comprises assaying the level of an RNA transcript. In other embodiments, the method further comprises administering at least one cancer treatment selected from the group consisting of surgery, radiation therapy, immunotherapy, biological therapy, neoadjuvant chemotherapy, and photodynamic therapy after androgen deprivation therapy.
  • In other embodiments, the present invention provides kits for predicting cancer aggressiveness or risk of metastasis, the kit comprising agents for assaying an expression level of a plurality of genes, wherein said plurality of genes comprises one or more genes selected from Table 1 or SEQ ID NOs: 1-1815. In certain embodiments, the kit comprises agents for assaying an expression level of the genes listed in Table 1. In certain aspects, the agents comprise reagents for performing in situ hybridization, a PCR-based method, an array-based method, an immunohistochemical method, an RNA assay method, or an immunoassay method. In other aspects, the agents comprise one or more of a microarray, a nucleic acid probe, a nucleic acid primer, or an antibody. In certain embodiments, the kit comprises at least one set of PCR primers capable of amplifying a nucleic acid comprising a sequence of a gene selected from Table 1 or its complement. In other embodiments, the kit comprises at least one probe capable of hybridizing to a nucleic acid comprising a sequence of a gene selected from Table 1 or its complement. In yet other embodiments, the kits further comprise one or more control reference samples.
  • In one embodiment, the present invention provides a probe set for prognosing or diagnosing cancer in a subject, the probe set comprising a plurality of probes for detecting a plurality of target nucleic acids, wherein the plurality of target nucleic acids comprises one or more gene sequences, or complements thereof, of genes selected from Table 1. In one aspect, at least one probe is detectably labeled.
  • In other embodiments, the present invention provides methods for treating a subject with cancer, the method comprising: a) obtaining a biological sample from a subject having cancer; b) detecting the presence or assaying the expression level in the biological sample for a plurality of targets selected from Table 1 or SEQ ID NOs: 1-1815; and c) administering a treatment to the subject. In some embodiments, the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy, biological therapy, hormonal therapy, and photodynamic therapy. In other embodiments, the cancer is prostate cancer.
  • In one embodiment, the present invention provides a method comprising: a) obtaining a biological sample from a subject; and b) detecting the presence or assaying the expression level in the biological sample for a plurality of targets selected from the group consisting of AC020571.3, ANO7, ARL6IP1P2, ASPN, AZGP1, AZGP1P1, DEGS1, ERO1LB, FBXL8, FMOS, FTH1P2, FTH1P8, GLB1L2, GLB1L3, GLYATL1P3, GMNN, HIF3A, INHBA, KIAA1210, KRT15, LIPH, LPAR3, LPGAT1, MIR4435-1HG, MKI67, MLLT11, MYBPC1, NADK2, NR4A1, NUSAP1, OR51A6P, PABPC1, PART1, PCAT14, PGM5P4-AS1, PICK1, PTTG1, R3HDM1, RNA5SP121, RP11-121G22.3 RP11-159H20.3, RP11-755011.2, RP11-770G2.5, RP11-923111.3, RP13-753N3.3, RPL31P57, SCIN, SESN3, SETP14, SLC22A3, SMC4, TIPARP, TMEM100, TNFRSF19, TOP2A, TPX2, TRIQK, VBP1, WFDC2, and XPO6. In one aspect, the plurality of target sequences comprises a coding and/or non-coding target. In some embodiments, the plurality of target sequences comprises a coding and/or non-coding target. In other embodiments, the coding target is an exonic sequence. In yet other embodiments, non-coding target comprises an intronic sequence, partially overlaps an intronic sequence, a sequence within the UTR or partially overlaps with a UTR sequence. In other embodiments, the plurality of target sequences comprises a nucleic acid sequence. In still other embodiments, the nucleic acid sequence is a DNA sequence or an RNA sequence. In some embodiments, the plurality of target sequences comprises at least 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55 or 60 target sequences selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the subject has cancer. In other embodiments, the cancer is selected from the group consisting of skin cancer, lung cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, thyroid cancer, ovarian cancer, uterine cancer, breast cancer, cervical cancer, kidney cancer, epithelial carcinoma, squamous carcinoma, basal cell carcinoma, melanoma, papilloma, and adenomas. In yet other embodiments, the cancer is prostate cancer. In still other embodiments, the methods further comprise administering a treatment to the subject. In some embodiments, the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, and photodynamic therapy. In other embodiments, the biological sample is a biopsy. In yet other embodiments, the biological sample is a urine sample, a blood sample or a prostate tumor sample. In certain embodiments, the blood sample is plasma, serum, or whole blood. In other embodiments, the subject is a human.
  • The plurality of targets may comprise one or more targets selected from ACO20571.3, ANO7, ARL6IP1P2, ASPN, AZGP1, AZGP1P1, DEGS1, ERO1LB, FBXL8, FMOS, FTH1P2, FTH1P8, GLB1L2, GLB1L3, GLYATL1P3, GMNN, HIF3A, INHBA, KIAA1210, KRT15, LIPH, LPAR3, LPGAT1, MIR4435-1HG, MKI67, MLLT11, MYBPC1, NADK2, NR4A1, NUSAP1, OR51A6P, PABPC1, PART1, PCAT14, PGMSP4-AS1, PICK1, PTTG1, R3HDM1, RNA5SP121, RP11-121G22.3 RP11-159H20.3, RP11-755011.2, RP11-770G2.5, RP11-923111.3, RP13-753N3.3, RPL31P57, SCIN, SESN3, SETP14, SLC22A3, SMC4, TIPARP, TMEM100, TNFRSF19, TOP2A, TPX2, TRIQK, VBP1, WFDC2, and XPO6; TIPARP and TMEM100; SETP14, MLLT11, and INHBA; ANO7, NR4A1, PART1, PCAT-14, SLC22A3, and TIPARP; FBXL8, MKI67, NUSAP1, PTTG1, TOP2A, and TPX2; ASPN, AZGP1, KRT15, MYBPC1, PICK1, TRIQK, and WFDC2; DEGS1, ERO1LB, FMOS, GLB1L2, GLB1L3, GLYATL1P3, LIPH, LPGAT1, NADK2, and XPO6; GMNN, SESN3, SMC4, and VBP1; HIF3A; INHBA, R3HDM1, and TNFRSF19; LPAR3 and SCIN; LOC101927482, ARL6IP1P2, AZGP1P1, FTH1P2, FTH1P8, KIAA1210, MIR4435-1HG, OR51A6P, PGMSP4-AS1, RNA5SP121, RP11-121G22.3, RP11-159H20.3, RP11-755011.2, RP11-77062.5, RP11-923111.3, and RP13-753N3.3; ANO7, NR4A1, and PART1; PCAT-14, SLC22A3, and TIPARP; FBXL8, MKI67, and NUSAP1; PTTG1, TOP2A, and TPX2; ASPN, AZGP1, and KRT15; MYBPC1, PICK1, TRIQK, and WFDC2; DEGS1, ERO1LB, and FMOS; GLB1L2, GLB1L3, and GLYATL1P3; LIPH, LPGAT1, NADK2, and XPO6; GMNN and SESN3; SMC4 and VBP1; INHBA and R3HDM1; INHBA and TNFRSF19; LPAR3 and SCIN; LOC101927482 and ARL6IP1P2; AZGP1P1 and FTH1P2; FTH1P8 and KIAA1210; MIR4435-1HG and OR51A6P; PGMSP4-AS1 and RNA5SP121; RP11-121G22.3 and RP11-159H20.3; RP11-755011.2 and RP11-77062.5; RP11-923111.3 and RP13-753N3.3; ACO20571.3 and ANO7; ARL6IP1P2 and ASPN; AZGP1 and AZGP1P1; DEGS1 and ERO1LB; FBXL8 and FMOS; FTH1P2 and FTH1P8; GLB1L2 and GLB1L3; GLYATL1P3 and GMNN; HIF3A and INHBA; KIAA1210 and KRT15; LIPH and LPAR3; LPGAT1 and MIR4435-1HG; MKI67 and MLLT11; MYBPC1 and NADK2; NR4A1 and NUSAP1; OR51A6P and PABPC1; PART1 and PCAT14; PGM5P4-AS1 and PICK1; PTTG1 and R3HDM1; RNA5SP121 and RP11-121G22.3; RP11-159H20.3 and RP11-755011.2; RP11-770G2.5 and RP11-923111.3; RP13-753N3.3 and RPL31P57; SCIN and SESN3; SETP14 and SLC22A3; SMC4 and TIPARP; TMEM100 and TNFRSF19; TOP2A and TPX2; TRIQK and VBP1; WFDC2 and XPO6; TIPARP and TMEM100.
  • In one embodiment, the present invention provides a method comprising: a) obtaining a biological sample from a subject having prostate cancer and b) detecting the presence or expression level in the biological sample for a plurality of targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the method further comprises treating the prostate cancer in the subject according to a genomic classifier score based on the presence or expression levels of the plurality of targets.
  • In some embodiments, the present invention also provides a method of diagnosing, prognosing, assessing the risk of recurrence or predicting benefit from therapy in a subject with prostate cancer, comprising: providing a biological sample comprising prostate cancer cells from the subject; assaying an expression level in the biological sample from the subject for a plurality of targets using at least one reagent that specifically binds to said targets, wherein the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; and diagnosing, prognosing, assessing the risk of recurrence or predicting benefit from therapy in the subject based on the expression levels of the plurality of targets. In some embodiments, the expression level of the target is reduced expression of the target. In other embodiments, the expression level of said target is increased expression of said target. In yet other embodiments, the level of expression of said target is determined by using a method selected from the group consisting of in situ hybridization, a PCR-based method, an array-based method, an immunohistochemical method, an RNA assay method and an immunoassay method. In other embodiments, the reagent is selected from the group consisting of a nucleic acid probe, one or more nucleic acid primers, and an antibody. In other embodiments, the target comprises a nucleic acid sequence.
  • In some embodiments, the present invention provides a system for analyzing a cancer, comprising, a probe set comprising a plurality of target sequences, wherein the plurality of target sequences hybridizes to one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; or the plurality of target sequences comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; and a computer model or algorithm for analyzing an expression level and/or expression profile of the target hybridized to the probe in a sample from a subject suffering from prostate cancer. In some embodiments, the method further comprises a label that specifically binds to the target, the probe, or a combination thereof.
  • In some embodiments, the present invention provides a method comprising: (a) providing a biological sample from a subject with prostate cancer; (b) detecting the presence or expression level in the biological sample for a plurality of targets, wherein the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; (c) generating a genomic classifier score based on the presence or expression levels of the plurality of targets; and (d) administering a treatment to the subject, wherein the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, hormonal therapy, and photodynamic therapy. In some embodiments, the present invention provides a method of treating a subject with prostate cancer, comprising: providing a biological sample comprising prostate cancer cells from the subject; determining the level of expression or amplification of at least one or more targets selected from Table 1 or SEQ ID NOs: 1-1815 using at least one reagent that specifically binds to said targets; generating a genomic classifier score based on the level of expression or amplification of the at least one or more targets; and prescribing a treatment regimen based on the genomic classifier score.
  • In some embodiments, the present invention provides a kit for analyzing a prostate cancer, comprising, a probe set comprising a plurality of target sequences, wherein the plurality of target sequences comprises at least one target sequence listed in Table 1 or SEQ ID NOs: 1-1815; and a computer model or algorithm for analyzing an expression level and/or expression profile of the target sequences in a sample. In some embodiments, the method further comprises a computer model or algorithm for correlating the expression level or expression profile with disease state or outcome. In other embodiments, the method further comprises a computer model or algorithm for designating a treatment modality for the individual. In yet other embodiments, the method further comprises a computer model or algorithm for normalizing expression level or expression profile of the target sequences. In some embodiments, the method further comprises sequencing the plurality of targets. In some embodiments, the method further comprises hybridizing the plurality of targets to a solid support. In some embodiments, the solid support is a bead or array. In some embodiments, assaying the expression level of a plurality of targets may comprise the use of a probe set. In some embodiments, assaying the expression level may comprise the use of a classifier. The classifier may comprise a probe selection region (PSR). In some embodiments, the classifier may comprise the use of an algorithm. The algorithm may comprise a machine learning algorithm. In some embodiments, assaying the expression level may also comprise sequencing the plurality of targets.
  • Further disclosed herein methods for using genomic classifiers for prognosing and/or diagnosing prostate cancer, wherein the genomic classifier has an AUC value of at least about 0.40 to predict patient outcomes. In some embodiments, patient outcomes are selected from the group consisting of biochemical recurrence (BCR), metastasis (MET) and prostate cancer death (PCSM) after radical prostatectomy. The AUC of the genomic classifier may be at least about 0.40, 0.45, 0.50, 0.55, 0.60, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.70 or more.
  • Further disclosed herein is a method for using genomic classifiers for prognosing and/or diagnosing prostate cancer, comprising determining the level of expression or amplification of at least one or more targets of the present invention, wherein the significance of the expression level of the one or more targets is based on one or more metrics selected from the group comprising T-test, P-value, KS (Kolmogorov Smirnov) P-value, accuracy, accuracy P-value, positive predictive value (PPV), negative predictive value (NPV), sensitivity, specificity, AUC, AUC P-value (Auc.pvalue), Wilcoxon Test P-value, Median Fold Difference (MFD), Kaplan Meier (KM) curves, survival AUC (survAUC), Kaplan Meier P-value (KM P-value), Univariable Analysis Odds Ratio P-value (uvaORPval), multivariable analysis Odds Ratio P-value (mvaORPval), Univariable Analysis Hazard Ratio P-value (uvaHRPval) and Multivariable Analysis Hazard Ratio P-value (mvaHRPval). The significance of the expression level of the one or more targets may be based on two or more metrics selected from the group comprising AUC, AUC P-value (Auc.pvalue), Wilcoxon Test P-value, Median Fold Difference (MFD), Kaplan Meier (KM) curves, survival AUC (survAUC), Univariable Analysis Odds Ratio P-value (uvaORPval), multivariable analysis Odds Ratio P-value (mvaORPval), Kaplan Meier P-value (KM P-value), Univariable Analysis Hazard Ratio P-value (uvaHRPval) and Multivariable Analysis Hazard Ratio P-value (mvaHRPval). The molecular subtypes of the present invention are useful for predicting clinical characteristics of subjects with prostate cancer. In some embodiments, the clinical characteristics are selected from the group consisting of seminal vesical invasion (SVI), lymph node invasion (LNI), prostate-specific antigen (PSA), and gleason score (GS).
  • INCORPORATION BY REFERENCE
  • All publications, patents, and patent applications mentioned in this specification are herein incorporated by reference in their entireties to the same extent as if each individual publication, patent, or patent application was specifically and individually indicated to be incorporated by reference.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIGS. 1A-B set forth data showing correlation of genomic classifiers with biopsy Grade Groups and NCCN risk categories.
  • FIGS. 2A-C set forth data showing correlation of genomic classifiers with diagnostic PSA, clinical stage and percentage of positive cores.
  • FIGS. 3A-B set forth data showing correlation of genomic classifier with pathological tumor grade and stage.
  • FIG. 4 sets forth data showing genomic classifier correlation with prospective RP and biopsy tumor specimens across tumor Grade Groups.
  • FIG. 5 sets forth data showing the distribution of genomic classifier scores among cases where tumor grading changed.
  • FIGS. 6A-C set forth data showing correlation of genomic classifiers with Gleason scores after pathological re-review in 1,694 biopsy samples.
  • FIGS. 7A-B set forth data showing genomic classifier scores for composite endpoint: High Stage Disease (LNI or pT3b) for biopsy samples.
  • FIG. 8 sets forth data showing AUC for predicting LNI for various genomic classifiers.
  • DETAILED DESCRIPTION OF THE INVENTION
  • The present invention discloses systems and methods for diagnosing, predicting, and/or monitoring the status or outcome of a prostate cancer in a subject using expression-based analysis of a plurality of targets. Generally, the method comprises (a) optionally obtaining a sample from a subject; (b) assaying the expression level for a plurality of targets in the sample; and (c) diagnosing, predicting and/or monitoring the status or outcome of a prostate cancer based on the expression level of the plurality of targets.
  • Assaying the expression level for a plurality of targets in the sample may comprise applying the sample to a microarray. In some instances, assaying the expression level may comprise the use of an algorithm. The algorithm may be used to produce a classifier and subsequently a classifier score. Alternatively, the classifier may comprise a probe selection region. In some instances, assaying the expression level for a plurality of targets comprises detecting and/or quantifying the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises sequencing the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises amplifying the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises quantifying the plurality of targets. In some embodiments, assaying the expression level for a plurality of targets comprises conducting a multiplexed reaction on the plurality of targets.
  • In some instances, the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815. In some instances, the plurality of targets comprises at least about 2, at least about 3, at least about 4, at least about 5, at least about 6, at least about 7, at least about 8, at least about 9, at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • Further disclosed herein are methods for prognosing or diagnosing prostate cancer. Generally, the method comprises: (a) obtaining a sample comprising prostate cancer cells from a subject; (b) assaying the expression level for a plurality of targets in the sample; and (c) prognosing or diagnosing the cancer based on the expression level of the plurality of targets. In some instances, the plurality of targets comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815. In some instances, the plurality of targets comprises at least about 2, at least about 3, at least about 4, at least about 5, at least about 6, at least about 7, at least about 8, at least about 9, at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • In some instances, prognosing or diagnosing the prostate cancer comprises determining whether the cancer is aggressive or will metastasize. Alternatively, prognosing or diagnosing the prostate cancer comprises identifying the cancer as non-responsive to an anti-cancer therapy. Optionally, prognosing or diagnosing the prostate cancer comprises identifying the cancer as responsive to an anti-cancer therapy.
  • Before the present invention is described in further detail, it is to be understood that this invention is not limited to the particular methodology, compositions, articles or machines described, as such methods, compositions, articles or machines can, of course, vary. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to limit the scope of the present invention.
  • Targets
  • The methods disclosed herein often comprise assaying the expression level of a plurality of targets. The plurality of targets may comprise coding targets and/or non-coding targets of a protein-coding gene or a non protein-coding gene. A protein-coding gene structure may comprise an exon and an intron. The exon may further comprise a coding sequence (CDS) and an untranslated region (UTR). The protein-coding gene may be transcribed to produce a pre-mRNA and the pre-mRNA may be processed to produce a mature mRNA. The mature mRNA may be translated to produce a protein.
  • A non protein-coding gene structure may comprise an exon and intron. Usually, the exon region of a non protein-coding gene primarily contains a UTR. The non protein-coding gene may be transcribed to produce a pre-mRNA and the pre-mRNA may be processed to produce a non-coding RNA (ncRNA).
  • A coding target may comprise a coding sequence of an exon. A non-coding target may comprise a UTR sequence of an exon, intron sequence, intergenic sequence, promoter sequence, non-coding transcript, CDS antisense, intronic antisense, UTR antisense, or non-coding transcript antisense. A non-coding transcript may comprise a non-coding RNA (ncRNA).
  • In some instances, the plurality of targets may be differentially expressed. In some instances, a plurality of probe selection regions (PSRs) is differentially expressed.
  • In some instances, the plurality of targets comprises one or more targets selected from at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815. In some instances, the plurality of targets comprises at least about 2, at least about 3, at least about 4, at least about 5, at least about 6, at least about 7, at least about 8, at least about 9, at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, or at least about 60 targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • In some instances, the plurality of targets comprises a coding target, non-coding target, or any combination thereof. In some instances, the coding target comprises an exonic sequence. In other instances, the non-coding target comprises a non-exonic or exonic sequence. Alternatively, a non-coding target comprises a UTR sequence, an intronic sequence, antisense, or a non-coding RNA transcript. In some instances, a non-coding target comprises sequences which partially overlap with a UTR sequence or an intronic sequence. A non-coding target also includes non-exonic and/or exonic transcripts. Exonic sequences may comprise regions on a protein-coding gene, such as an exon, UTR, or a portion thereof. Non-exonic sequences may comprise regions on a protein-coding, non protein-coding gene, or a portion thereof. For example, non-exonic sequences may comprise intronic regions, promoter regions, intergenic regions, a non-coding transcript, an exon anti-sense region, an intronic anti-sense region, UTR anti-sense region, non-coding transcript anti-sense region, or a portion thereof. In other instances, the plurality of targets comprises a non-coding RNA transcript.
  • The plurality of targets may comprise one or more targets selected from a classifier disclosed herein. The classifier may be generated from one or more models or algorithms. The one or more models or algorithms may be Naïve Bayes (NB), recursive Partitioning (Rpart), random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), high dimensional discriminate analysis (HDDA), or a combination thereof. The classifier may have an AUC of equal to or greater than 0.60. The classifier may have an AUC of equal to or greater than 0.61. The classifier may have an AUC of equal to or greater than 0.62. The classifier may have an AUC of equal to or greater than 0.63. The classifier may have an AUC of equal to or greater than 0.64. The classifier may have an AUC of equal to or greater than 0.65. The classifier may have an AUC of equal to or greater than 0.66. The classifier may have an AUC of equal to or greater than 0.67. The classifier may have an AUC of equal to or greater than 0.68. The classifier may have an AUC of equal to or greater than 0.69. The classifier may have an AUC of equal to or greater than 0.70. The classifier may have an AUC of equal to or greater than 0.75. The classifier may have an AUC of equal to or greater than 0.77. The classifier may have an AUC of equal to or greater than 0.78. The classifier may have an AUC of equal to or greater than 0.79. The classifier may have an AUC of equal to or greater than 0.80. The AUC may be clinically significant based on its 95% confidence interval (CI). The accuracy of the classifier may be at least about 70%. The accuracy of the classifier may be at least about 73%. The accuracy of the classifier may be at least about 75%. The accuracy of the classifier may be at least about 77%. The accuracy of the classifier may be at least about 80%. The accuracy of the classifier may be at least about 83%. The accuracy of the classifier may be at least about 84%. The accuracy of the classifier may be at least about 86%. The accuracy of the classifier may be at least about 88%. The accuracy of the classifier may be at least about 90%. The p-value of the classifier may be less than or equal to 0.05. The p-value of the classifier may be less than or equal to 0.04. The p-value of the classifier may be less than or equal to 0.03. The p-value of the classifier may be less than or equal to 0.02. The p-value of the classifier may be less than or equal to 0.01. The p-value of the classifier may be less than or equal to 0.008. The p-value of the classifier may be less than or equal to 0.006. The p-value of the classifier may be less than or equal to 0.004. The p-value of the classifier may be less than or equal to 0.002. The p-value of the classifier may be less than or equal to 0.001.
  • The plurality of targets may comprise one or more targets selected from a Random Forest (RF) classifier. The plurality of targets may comprise two or more targets selected from a Random Forest (RF) classifier. The plurality of targets may comprise three or more targets selected from a Random Forest (RF) classifier. The plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 25, 30, 40, 50, 60 or more targets selected from a Random Forest (RF) classifier. The RF classifier may be an RF2, and RF3, or an RF4 classifier. The RF classifier may be an RF60 classifier (e.g., a Random Forest classifier with 50 targets).
  • A RF classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • The plurality of targets may comprise one or more targets selected from an SVM classifier. The plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 25, 30, 40, 50, 60 or more targets selected from an SVM classifier. The plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30, 40, 50, 60 or more targets selected from an SVM classifier. The plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from an SVM classifier. The SVM classifier may be an SVM2 classifier.
  • A SVM classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • The plurality of targets may comprise one or more targets selected from a KNN classifier. The plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10 or more targets selected from a KNN classifier. The plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30 or more targets selected from a KNN classifier. The plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from a KNN classifier.
  • The KNN classifier may be a KNN50 classifier. A KNN classifier of the present invention may comprise sixty or more targets comprising sixty or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • The plurality of targets may comprise one or more targets selected from a Naïve Bayes (NB) classifier. The plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10 or more targets selected from an NB classifier. The plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30 or more targets selected from an NB classifier. The plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from a NB classifier.
  • The NB classifier may be a NB2 classifier. An NB classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • The plurality of targets may comprise one or more targets selected from a recursive Partitioning (Rpart) classifier. The plurality of targets may comprise 2, 3, 4, 5, 6, 7, 8, 9, 10 or more targets selected from an Rpart classifier. The plurality of targets may comprise 12, 13, 14, 15, 17, 20, 22, 25, 27, 30 or more targets selected from an Rpart classifier. The plurality of targets may comprise 32, 35, 37, 40, 43, 45, 47, 50, 60 or more targets selected from an Rpart classifier.
  • The Rpart classifier may be an Rpart2 classifier. An Rpart classifier of the present invention may comprise two or more targets comprising two or more targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • The plurality of targets may comprise one or more targets selected from a high dimensional discriminate analysis (HDDA) classifier. The plurality of targets may comprise two or more targets selected from a high dimensional discriminate analysis (HDDA) classifier. The plurality of targets may comprise three or more targets selected from a high dimensional discriminate analysis (HDDA) classifier. The plurality of targets may comprise 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 30, 40, 50, 60 or more targets selected from a high dimensional discriminate analysis (HDDA) classifier.
  • Probes/Primers
  • The present invention provides for a probe set for diagnosing, monitoring and/or predicting a status or outcome of a prostate cancer in a subject comprising a plurality of probes, wherein (i) the probes in the set are capable of detecting an expression level of at least one target selected from Table 1 or SEQ ID NOs: 1-1815; and (ii) the expression level determines the cancer status of the subject with at least about 40% specificity.
  • The probe set may comprise one or more polynucleotide probes. Individual polynucleotide probes comprise a nucleotide sequence derived from the nucleotide sequence of the target sequences or complementary sequences thereof. The nucleotide sequence of the polynucleotide probe is designed such that it corresponds to, or is complementary to the target sequences. The polynucleotide probe can specifically hybridize under either stringent or lowered stringency hybridization conditions to a region of the target sequences, to the complement thereof, or to a nucleic acid sequence (such as a cDNA) derived therefrom.
  • The selection of the polynucleotide probe sequences and determination of their uniqueness may be carried out in silico using techniques known in the art, for example, based on a BLASTN search of the polynucleotide sequence in question against gene sequence databases, such as the Human Genome Sequence, UniGene, dbEST or the non-redundant database at NCBI. In one embodiment of the invention, the polynucleotide probe is complementary to a region of a target mRNA derived from a target sequence in the probe set. Computer programs can also be employed to select probe sequences that may not cross hybridize or may not hybridize non-specifically.
  • In some instances, microarray hybridization of RNA, extracted from prostate cancer tissue samples and amplified, may yield a dataset that is then summarized and normalized by the fRMA technique. After removal (or filtration) of cross-hybridizing PSRs, and PSRs containing less than 4 probes, the remaining PSRs can be used in further analysis. Following fRMA and filtration, the data can be decomposed into its principal components and an analysis of variance model is used to determine the extent to which a batch effect remains present in the first 10 principal components.
  • These remaining PSRs can then be subjected to filtration by a T-test between CR (clinical recurrence) and non-CR samples. Using a p-value cut-off of 0.01, the remaining features (e.g., PSRs) can be further refined. Feature selection can be performed by regularized logistic regression using the elastic-net penalty. The regularized regression may be bootstrapped over 1000 times using all training data; with each iteration of bootstrapping, features that have non-zero co-efficient following 3-fold cross validation can be tabulated. In some instances, features that were selected in at least 25% of the total runs were used for model building.
  • The polynucleotide probes of the present invention may range in length from about 15 nucleotides to the full length of the coding target or non-coding target. In one embodiment of the invention, the polynucleotide probes are at least about 15 nucleotides in length. In another embodiment, the polynucleotide probes are at least about 20 nucleotides in length. In a further embodiment, the polynucleotide probes are at least about 25 nucleotides in length. In another embodiment, the polynucleotide probes are between about 15 nucleotides and about 500 nucleotides in length. In other embodiments, the polynucleotide probes are between about 15 nucleotides and about 450 nucleotides, about 15 nucleotides and about 400 nucleotides, about 15 nucleotides and about 350 nucleotides, about 15 nucleotides and about 300 nucleotides, about 15 nucleotides and about 250 nucleotides, about 15 nucleotides and about 200 nucleotides in length. In some embodiments, the probes are at least 15 nucleotides in length. In some embodiments, the probes are at least 15 nucleotides in length. In some embodiments, the probes are at least 20 nucleotides, at least 25 nucleotides, at least 50 nucleotides, at least 75 nucleotides, at least 100 nucleotides, at least 125 nucleotides, at least 150 nucleotides, at least 200 nucleotides, at least 225 nucleotides, at least 250 nucleotides, at least 275 nucleotides, at least 300 nucleotides, at least 325 nucleotides, at least 350 nucleotides, at least 375 nucleotides in length.
  • The polynucleotide probes of a probe set can comprise RNA, DNA, RNA or DNA mimetics, or combinations thereof, and can be single-stranded or double-stranded. Thus the polynucleotide probes can be composed of naturally-occurring nucleobases, sugars and covalent internucleoside (backbone) linkages as well as polynucleotide probes having non-naturally-occurring portions which function similarly. Such modified or substituted polynucleotide probes may provide desirable properties such as, for example, enhanced affinity for a target gene and increased stability. The probe set may comprise a coding target and/or a non-coding target. Preferably, the probe set comprises a combination of a coding target and non-coding target.
  • In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 5 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. Alternatively, the probe set comprise a plurality of target sequences that hybridize to at least about 10 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 15 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 20 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 30 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 40 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 50 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815. In some embodiments, the probe set comprise a plurality of target sequences that hybridize to at least about 60 coding targets and/or non-coding targets selected from Table 1 or SEQ ID NOs: 1-1815.
  • The system of the present invention further provides for primers and primer pairs capable of amplifying target sequences defined by the probe set, or fragments or subsequences or complements thereof. The nucleotide sequences of the probe set may be provided in computer-readable media for in silico applications and as a basis for the design of appropriate primers for amplification of one or more target sequences of the probe set.
  • Primers based on the nucleotide sequences of target sequences can be designed for use in amplification of the target sequences. For use in amplification reactions such as PCR, a pair of primers can be used. The exact composition of the primer sequences is not critical to the invention, but for most applications the primers may hybridize to specific sequences of the probe set under stringent conditions, particularly under conditions of high stringency, as known in the art. The pairs of primers are usually chosen so as to generate an amplification product of at least about 50 nucleotides, more usually at least about 100 nucleotides. Algorithms for the selection of primer sequences are generally known, and are available in commercial software packages. These primers may be used in standard quantitative or qualitative PCR-based assays to assess transcript expression levels of RNAs defined by the probe set. Alternatively, these primers may be used in combination with probes, such as molecular beacons in amplifications using real-time PCR.
  • In one embodiment, the primers or primer pairs, when used in an amplification reaction, specifically amplify at least a portion of a nucleic acid sequence of a target selected from Table 1 or SEQ ID NOs: 1-1815 (or subgroups thereof as set forth herein), an RNA form thereof, or a complement to either thereof.
  • A label can optionally be attached to or incorporated into a probe or primer polynucleotide to allow detection and/or quantitation of a target polynucleotide representing the target sequence of interest. The target polynucleotide may be the expressed target sequence RNA itself, a cDNA copy thereof, or an amplification product derived therefrom, and may be the positive or negative strand, so long as it can be specifically detected in the assay being used. Similarly, an antibody may be labeled.
  • In certain multiplex formats, labels used for detecting different targets may be distinguishable. The label can be attached directly (e.g., via covalent linkage) or indirectly, e.g., via a bridging molecule or series of molecules (e.g., a molecule or complex that can bind to an assay component, or via members of a binding pair that can be incorporated into assay components, e.g. biotin-avidin or streptavidin). Many labels are commercially available in activated forms which can readily be used for such conjugation (for example through amine acylation), or labels may be attached through known or determinable conjugation schemes, many of which are known in the art.
  • Labels useful in the invention described herein include any substance which can be detected when bound to or incorporated into the biomolecule of interest. Any effective detection method can be used, including optical, spectroscopic, electrical, piezoelectrical, magnetic, Raman scattering, surface plasmon resonance, colorimetric, calorimetric, etc. A label is typically selected from a chromophore, a lumiphore, a fluorophore, one member of a quenching system, a chromogen, a hapten, an antigen, a magnetic particle, a material exhibiting nonlinear optics, a semiconductor nanocrystal, a metal nanoparticle, an enzyme, an antibody or binding portion or equivalent thereof, an aptamer, and one member of a binding pair, and combinations thereof. Quenching schemes may be used, wherein a quencher and a fluorophore as members of a quenching pair may be used on a probe, such that a change in optical parameters occurs upon binding to the target introduce or quench the signal from the fluorophore. One example of such a system is a molecular beacon. Suitable quencher/fluorophore systems are known in the art. The label may be bound through a variety of intermediate linkages. For example, a polynucleotide may comprise a biotin-binding species, and an optically detectable label may be conjugated to biotin and then bound to the labeled polynucleotide. Similarly, a polynucleotide sensor may comprise an immunological species such as an antibody or fragment, and a secondary antibody containing an optically detectable label may be added.
  • Chromophores useful in the methods described herein include any substance which can absorb energy and emit light. For multiplexed assays, a plurality of different signaling chromophores can be used with detectably different emission spectra. The chromophore can be a lumophore or a fluorophore. Typical fluorophores include fluorescent dyes, semiconductor nanocrystals, lanthanide chelates, polynucleotide-specific dyes and green fluorescent protein.
  • In some embodiments, polynucleotides of the invention comprise at least 20 consecutive bases of the nucleic acid sequence of a target selected from Table 1 or SEQ ID NOs: 1-1815 or a complement thereto. The polynucleotides may comprise at least 21, 22, 23, 24, 25, 27, 30, 32, 35 or more consecutive bases of the nucleic acids sequence of a target selected from Table 1 or SEQ ID NOs: 1-1815, as applicable.
  • The polynucleotides may be provided in a variety of formats, including as solids, in solution, or in an array. The polynucleotides may optionally comprise one or more labels, which may be chemically and/or enzymatically incorporated into the polynucleotide.
  • In some embodiments, one or more polynucleotides provided herein can be provided on a substrate. The substrate can comprise a wide range of material, either biological, nonbiological, organic, inorganic, or a combination of any of these. For example, the substrate may be a polymerized Langmuir Blodgett film, functionalized glass, Si, Ge, GaAs, GaP, SiO2, SiN4, modified silicon, or any one of a wide variety of gels or polymers such as (poly)tetrafluoroethylene, (poly)vinylidenedifluoride, polystyrene, cross-linked polystyrene, polyacrylic, polylactic acid, polyglycolic acid, poly(lactide coglycolide), polyanhydrides, poly(methyl methacrylate), poly(ethylene-co-vinyl acetate), polysiloxanes, polymeric silica, latexes, dextran polymers, epoxies, polycarbonates, or combinations thereof. Conducting polymers and photoconductive materials can be used.
  • The substrate can take the form of an array, a photodiode, an optoelectronic sensor such as an optoelectronic semiconductor chip or optoelectronic thin-film semiconductor, or a biochip. The location(s) of probe(s) on the substrate can be addressable; this can be done in highly dense formats, and the location(s) can be microaddressable or nanoaddressable.
  • Diagnostic Samples
  • Diagnostic samples for use with the systems and in the methods of the present invention comprise nucleic acids suitable for providing RNAs expression information. In principle, the biological sample from which the expressed RNA is obtained and analyzed for target sequence expression can be any material suspected of comprising prostate cancer tissue or cells. The diagnostic sample can be a biological sample used directly in a method of the invention. Alternatively, the diagnostic sample can be a sample prepared from a biological sample.
  • In one embodiment, the sample or portion of the sample comprising or suspected of comprising cancer tissue or cells can be any source of biological material, including cells, tissue or fluid, including bodily fluids. Non-limiting examples of the source of the sample include an aspirate, a needle biopsy, a cytology pellet, a bulk tissue preparation or a section thereof obtained for example by surgery or autopsy, lymph fluid, blood, plasma, serum, tumors, and organs. In some embodiments, the sample is from urine. Alternatively, the sample is from blood, plasma or serum. In some embodiments, the sample is from saliva.
  • The samples may be archival samples, having a known and documented medical outcome, or may be samples from current patients whose ultimate medical outcome is not yet known.
  • In some embodiments, the sample may be dissected prior to molecular analysis. The sample may be prepared via macrodissection of a bulk tumor specimen or portion thereof, or may be treated via microdissection, for example via Laser Capture Microdissection (LCM).
  • The sample may initially be provided in a variety of states, as fresh tissue, fresh frozen tissue, fine needle aspirates, and may be fixed or unfixed. Frequently, medical laboratories routinely prepare medical samples in a fixed state, which facilitates tissue storage. A variety of fixatives can be used to fix tissue to stabilize the morphology of cells, and may be used alone or in combination with other agents. Exemplary fixatives include crosslinking agents, alcohols, acetone, Bouin's solution, Zenker solution, Helv solution, osmic acid solution and Carnoy solution.
  • Crosslinking fixatives can comprise any agent suitable for forming two or more covalent bonds, for example an aldehyde. Sources of aldehydes typically used for fixation include formaldehyde, paraformaldehyde, glutaraldehyde or formalin. Preferably, the crosslinking agent comprises formaldehyde, which may be included in its native form or in the form of paraformaldehyde or formalin. One of skill in the art would appreciate that for samples in which crosslinking fixatives have been used special preparatory steps may be necessary including for example heating steps and proteinase-k digestion; see methods.
  • One or more alcohols may be used to fix tissue, alone or in combination with other fixatives. Exemplary alcohols used for fixation include methanol, ethanol and isopropanol.
  • Formalin fixation is frequently used in medical laboratories. Formalin comprises both an alcohol, typically methanol, and formaldehyde, both of which can act to fix a biological sample.
  • Whether fixed or unfixed, the biological sample may optionally be embedded in an embedding medium. Exemplary embedding media used in histology including paraffin, Tissue-Tek® V.I.P.™, Paramat, Paramat Extra, Paraplast, Paraplast X-tra, Paraplast Plus, Peel Away Paraffin Embedding Wax, Polyester Wax, Carbowax Polyethylene Glycol, Polyfin™, Tissue Freezing Medium TFMFM, Cryo-Gef™, and OCT Compound (Electron Microscopy Sciences, Hatfield, Pa.). Prior to molecular analysis, the embedding material may be removed via any suitable techniques, as known in the art. For example, where the sample is embedded in wax, the embedding material may be removed by extraction with organic solvent(s), for example xylenes. Kits are commercially available for removing embedding media from tissues. Samples or sections thereof may be subjected to further processing steps as needed, for example serial hydration or dehydration steps.
  • In some embodiments, the sample is a fixed, wax-embedded biological sample. Frequently, samples from medical laboratories are provided as fixed, wax-embedded samples, most commonly as formalin-fixed, paraffin embedded (FFPE) tissues.
  • Whatever the source of the biological sample, the target polynucleotide that is ultimately assayed can be prepared synthetically (in the case of control sequences), but typically is purified from the biological source and subjected to one or more preparative steps. The RNA may be purified to remove or diminish one or more undesired components from the biological sample or to concentrate it. Conversely, where the RNA is too concentrated for the particular assay, it may be diluted.
  • RNA Extraction
  • RNA can be extracted and purified from biological samples using any suitable technique. A number of techniques are known in the art, and several are commercially available (e.g., FormaPure nucleic acid extraction kit, Agencourt Biosciences, Beverly Mass., High Pure FFPE RNA Micro Kit, Roche Applied Science, Indianapolis, Ind.). RNA can be extracted from frozen tissue sections using TRIzol (Invitrogen, Carlsbad, Calif.) and purified using RNeasy Protect kit (Qiagen, Valencia, Calif.). RNA can be further purified using DNAse I treatment (Ambion, Austin, Tex.) to eliminate any contaminating DNA. RNA concentrations can be made using a Nanodrop ND-1000 spectrophotometer (Nanodrop Technologies, Rockland, Del.). RNA can be further purified to eliminate contaminants that interfere with cDNA synthesis by cold sodium acetate precipitation. RNA integrity can be evaluated by running electropherograms, and RNA integrity number (RIN, a correlative measure that indicates intactness of mRNA) can be determined using the RNA 6000 PicoAssay for the Bioanalyzer 2100 (Agilent Technologies, Santa Clara, Calif.).
  • Kits
  • Kits for performing the desired method(s) are also provided, and comprise a container or housing for holding the components of the kit, one or more vessels containing one or more nucleic acid(s), and optionally one or more vessels containing one or more reagents. The reagents include those described in the composition of matter section above, and those reagents useful for performing the methods described, including amplification reagents, and may include one or more probes, primers or primer pairs, enzymes (including polymerases and ligases), intercalating dyes, labeled probes, and labels that can be incorporated into amplification products.
  • In some embodiments, the kit comprises primers or primer pairs specific for those subsets and combinations of target sequences described herein. The primers or pairs of primers suitable for selectively amplifying the target sequences. The kit may comprise at least two, three, four or five primers or pairs of primers suitable for selectively amplifying one or more targets. The kit may comprise at least 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100 or more primers or pairs of primers suitable for selectively amplifying one or more targets.
  • In some embodiments, the primers or primer pairs of the kit, when used in an amplification reaction, specifically amplify a non-coding target, coding target, exonic, or non-exonic target described herein, a nucleic acid sequence corresponding to a target selected from Table 1 or SEQ ID NOs: 1-1815, an RNA form thereof, or a complement to either thereof. The kit may include a plurality of such primers or primer pairs which can specifically amplify a corresponding plurality of different amplify a non-coding target, coding target, exonic, or non-exonic transcript described herein, a nucleic acid sequence corresponding to a target selected from Table 1 or SEQ ID NOs: 1-1815, RNA forms thereof, or complements thereto. At least two, three, four or five primers or pairs of primers suitable for selectively amplifying the one or more targets can be provided in kit form. In some embodiments, the kit comprises from five to fifty primers or pairs of primers suitable for amplifying the one or more targets.
  • The reagents may independently be in liquid or solid form. The reagents may be provided in mixtures. Control samples and/or nucleic acids may optionally be provided in the kit. Control samples may include tissue and/or nucleic acids obtained from or representative of tumor samples from patients showing no evidence of disease, as well as tissue and/or nucleic acids obtained from or representative of tumor samples from patients that develop systemic cancer.
  • The nucleic acids may be provided in an array format, and thus an array or microarray may be included in the kit. The kit optionally may be certified by a government agency for use in prognosing the disease outcome of cancer patients and/or for designating a treatment modality.
  • Instructions for using the kit to perform one or more methods of the invention can be provided with the container, and can be provided in any fixed medium. The instructions may be located inside or outside the container or housing, and/or may be printed on the interior or exterior of any surface thereof. A kit may be in multiplex form for concurrently detecting and/or quantitating one or more different target polynucleotides representing the expressed target sequences.
  • Amplification and Hybridization
  • Following sample collection and nucleic acid extraction, the nucleic acid portion of the sample comprising RNA that is or can be used to prepare the target polynucleotide(s) of interest can be subjected to one or more preparative reactions. These preparative reactions can include in vitro transcription (IVT), labeling, fragmentation, amplification and other reactions. mRNA can first be treated with reverse transcriptase and a primer to create cDNA prior to detection, quantitation and/or amplification; this can be done in vitro with purified mRNA or in situ, e.g., in cells or tissues affixed to a slide.
  • By “amplification” is meant any process of producing at least one copy of a nucleic acid, in this case an expressed RNA, and in many cases produces multiple copies. An amplification product can be RNA or DNA, and may include a complementary strand to the expressed target sequence. DNA amplification products can be produced initially through reverse translation and then optionally from further amplification reactions. The amplification product may include all or a portion of a target sequence, and may optionally be labeled. A variety of amplification methods are suitable for use, including polymerase-based methods and ligation-based methods. Exemplary amplification techniques include the polymerase chain reaction method (PCR), the lipase chain reaction (LCR), ribozyme-based methods, self-sustained sequence replication (3SR), nucleic acid sequence-based amplification (NASBA), the use of Q Beta replicase, reverse transcription, nick translation, and the like.
  • Asymmetric amplification reactions may be used to preferentially amplify one strand representing the target sequence that is used for detection as the target polynucleotide. In some cases, the presence and/or amount of the amplification product itself may be used to determine the expression level of a given target sequence. In other instances, the amplification product may be used to hybridize to an array or other substrate comprising sensor polynucleotides which are used to detect and/or quantitate target sequence expression.
  • The first cycle of amplification in polymerase-based methods typically forms a primer extension product complementary to the template strand. If the template is single-stranded RNA, a polymerase with reverse transcriptase activity is used in the first amplification to reverse transcribe the RNA to DNA, and additional amplification cycles can be performed to copy the primer extension products. The primers for a PCR must, of course, be designed to hybridize to regions in their corresponding template that can produce an amplifiable segment; thus, each primer must hybridize so that its 3′ nucleotide is paired to a nucleotide in its complementary template strand that is located 3′ from the 3′ nucleotide of the primer used to replicate that complementary template strand in the PCR.
  • The target polynucleotide can be amplified by contacting one or more strands of the target polynucleotide with a primer and a polymerase having suitable activity to extend the primer and copy the target polynucleotide to produce a full-length complementary polynucleotide or a smaller portion thereof. Any enzyme having a polymerase activity that can copy the target polynucleotide can be used, including DNA polymerases, RNA polymerases, reverse transcriptases, enzymes having more than one type of polymerase or enzyme activity. The enzyme can be thermolabile or thermostable. Mixtures of enzymes can also be used. Exemplary enzymes include: DNA polymerases such as DNA Polymerase I (“Pol I”), the Klenow fragment of Pol I, T4, T7, Sequenase® T7, Sequenase® Version 2.0 T7, Tub, Taq, Tth, Pfic, Pfu, Tsp, Tfl, Tli and Pyrococcus sp GB-D DNA polymerases; RNA polymerases such as E. coli, SP6, T3 and T7 RNA polymerases; and reverse transcriptases such as AMV, M-MuLV, MMLV, RNAse H MMLV (SuperScript®), SuperScript® II, ThermoScript®, HIV-1, and RAV2 reverse transcriptases. All of these enzymes are commercially available. Exemplary polymerases with multiple specificities include RAV2 and Tli (exo-) polymerases. Exemplary thermostable polymerases include Tub, Taq, Tth, Pfic, Pfu, Tsp, Tfl, Tli and Pyrococcus sp. GB-D DNA polymerases.
  • Suitable reaction conditions are chosen to permit amplification of the target polynucleotide, including pH, buffer, ionic strength, presence and concentration of one or more salts, presence and concentration of reactants and cofactors such as nucleotides and magnesium and/or other metal ions (e.g., manganese), optional cosolvents, temperature, thermal cycling profile for amplification schemes comprising a polymerase chain reaction, and may depend in part on the polymerase being used as well as the nature of the sample. Cosolvents include formamide (typically at from about 2 to about 10%), glycerol (typically at from about 5 to about 10%), and DMSO (typically at from about 0.9 to about 10%). Techniques may be used in the amplification scheme in order to minimize the production of false positives or artifacts produced during amplification. These include “touchdown” PCR, hot-start techniques, use of nested primers, or designing PCR primers so that they form stem-loop structures in the event of primer-dimer formation and thus are not amplified. Techniques to accelerate PCR can be used, for example centrifugal PCR, which allows for greater convection within the sample, and comprising infrared heating steps for rapid heating and cooling of the sample. One or more cycles of amplification can be performed. An excess of one primer can be used to produce an excess of one primer extension product during PCR; preferably, the primer extension product produced in excess is the amplification product to be detected. A plurality of different primers may be used to amplify different target polynucleotides or different regions of a particular target polynucleotide within the sample.
  • An amplification reaction can be performed under conditions which allow an optionally labeled sensor polynucleotide to hybridize to the amplification product during at least part of an amplification cycle. When the assay is performed in this manner, real-time detection of this hybridization event can take place by monitoring for light emission or fluorescence during amplification, as known in the art.
  • Where the amplification product is to be used for hybridization to an array or microarray, a number of suitable commercially available amplification products are available. These include amplification kits available from NuGEN, Inc. (San Carlos, Calif.), including the WT-Ovation™ System, WT-Ovation™ System v2, WT-Ovation™ Pico System, WT-Ovation™ FFPE Exon Module, WT-Ovation™ FFPE Exon Module RiboAmp and RiboAmpPlus RNA Amplification Kits (MDS Analytical Technologies (formerly Arcturus) (Mountain View, Calif.), Genisphere, Inc. (Hatfield, Pa.), including the RampUp Plus™ and SenseAmp™ RNA Amplification kits, alone or in combination. Amplified nucleic acids may be subjected to one or more purification reactions after amplification and labeling, for example using magnetic beads (e.g., RNAClean magnetic beads, Agencourt Biosciences).
  • Multiple RNA biomarkers can be analyzed using real-time quantitative multiplex RT-PCR platforms and other multiplexing technologies such as GenomeLab GeXP Genetic Analysis System (Beckman Coulter, Foster City, Calif.), SmartCycler® 9600 or GeneXpert® Systems (Cepheid, Sunnyvale, Calif.), ABI 7900 HT Fast Real Time PCR system (Applied Biosystems, Foster City, Calif.), LightCycler® 480 System (Roche Molecular Systems, Pleasanton, Calif.), xMAP 100 System (Luminex, Austin, Tex.) Solexa Genome Analysis System (Illumina, Hayward, Calif.), OpenArray Real Time qPCR (BioTrove, Woburn, Mass.) and BeadXpress System (Illumina, Hayward, Calif.).
  • Detection and/or Quantification of Target Sequences
  • Any method of detecting and/or quantitating the expression of the encoded target sequences can in principle be used in the invention. The expressed target sequences can be directly detected and/or quantitated, or may be copied and/or amplified to allow detection of amplified copies of the expressed target sequences or its complement.
  • Methods for detecting and/or quantifying a target can include Northern blotting, sequencing, array or microarray hybridization, by enzymatic cleavage of specific structures (e.g., an Invader® assay, Third Wave Technologies, e.g. as described in U.S. Pat. Nos. 5,846,717, 6,090,543; 6,001,567; 5,985,557; and 5,994,069) and amplification methods, e.g. RT-PCR, including in a TaqMan® assay (PE Biosystems, Foster City, Calif., e.g. as described in U.S. Pat. Nos. 5,962,233 and 5,538,848), and may be quantitative or semi-quantitative, and may vary depending on the origin, amount and condition of the available biological sample. Combinations of these methods may also be used. For example, nucleic acids may be amplified, labeled and subjected to microarray analysis.
  • In some instances, target sequences may be detected by sequencing. Sequencing methods may comprise whole genome sequencing or exome sequencing. Sequencing methods such as Maxim-Gilbert, chain-termination, or high-throughput systems may also be used. Additional, suitable sequencing techniques include classic dideoxy sequencing reactions (Sanger method) using labeled terminators or primers and gel separation in slab or capillary, sequencing by synthesis using reversibly terminated labeled nucleotides, pyrosequencing, 454 sequencing, allele specific hybridization to a library of labeled oligonucleotide probes, sequencing by synthesis using allele specific hybridization to a library of labeled clones that is followed by ligation, real time monitoring of the incorporation of labeled nucleotides during a polymerization step, and SOLiD sequencing.
  • Additional methods for detecting and/or quantifying a target include single-molecule sequencing (e.g., Helicos, PacBio), sequencing by synthesis (e.g., Illumina, Ion Torrent), sequencing by ligation (e.g., ABI SOLID), sequencing by hybridization (e.g., Complete Genomics), in situ hybridization, bead-array technologies (e.g., Luminex xMAP, Illumina BeadChips), branched DNA technology (e.g., Panomics, Genisphere). Sequencing methods may use fluorescent (e.g., Illumina) or electronic (e.g., Ion Torrent, Oxford Nanopore) methods of detecting nucleotides.
  • Reverse Transcription for ORT-PCR Analysis
  • Reverse transcription can be performed by any method known in the art. For example, reverse transcription may be performed using the Omniscript kit (Qiagen, Valencia, Calif.), Superscript III kit (Invitrogen, Carlsbad, Calif.), for RT-PCR. Target-specific priming can be performed in order to increase the sensitivity of detection of target sequences and generate target-specific cDNA.
  • TaqMan® Gene Expression Analysis
  • TaqMan® RT-PCR can be performed using Applied Biosystems Prism (ABI) 7900 HT instruments in a 5 1.11 volume with target sequence-specific cDNA equivalent to 1 ng total RNA.
  • Primers and probes concentrations for TaqMan analysis are added to amplify fluorescent amplicons using PCR cycling conditions such as 95° C. for 10 minutes for one cycle, 95° C. for 20 seconds, and 60° C. for 45 seconds for 40 cycles. A reference sample can be assayed to ensure reagent and process stability. Negative controls (e.g., no template) should be assayed to monitor any exogenous nucleic acid contamination.
  • Classification Arrays
  • The present invention contemplates that a probe set or probes derived therefrom may be provided in an array format. In the context of the present invention, an “array” is a spatially or logically organized collection of polynucleotide probes. An array comprising probes specific for a coding target, non-coding target, or a combination thereof may be used. Alternatively, an array comprising probes specific for two or more of transcripts of a target selected from Table 1 or SEQ ID NOs: 1-1815 or a product derived thereof can be used. Desirably, an array may be specific for 5, 10, 15, 20, 25, 30, 40, 50 or more of transcripts of a target selected from Table 1 or SEQ ID NOs: 1-1815. Expression of these sequences may be detected alone or in combination with other transcripts. In some embodiments, an array is used which comprises a wide range of sensor probes for prostate-specific expression products, along with appropriate control sequences. In some instances, the array may comprise the Human Exon 1.0 ST Array (HuEx 1.0 ST, Affymetrix, Inc., Santa Clara, Calif.).
  • Typically the polynucleotide probes are attached to a solid substrate and are ordered so that the location (on the substrate) and the identity of each are known. The polynucleotide probes can be attached to one of a variety of solid substrates capable of withstanding the reagents and conditions necessary for use of the array. Examples include, but are not limited to, polymers, such as (poly)tetrafluoroethylene, (poly)vinylidenedifluoride, polystyrene, polycarbonate, polypropylene and polystyrene; ceramic; silicon; silicon dioxide; modified silicon; (fused) silica, quartz or glass; functionalized glass; paper, such as filter paper; diazotized cellulose; nitrocellulose filter; nylon membrane; and polyacrylamide gel pad. Substrates that are transparent to light are useful for arrays that may be used in an assay that involves optical detection.
  • Examples of array formats include membrane or filter arrays (for example, nitrocellulose, nylon arrays), plate arrays (for example, multiwell, such as a 24-, 96-, 256-, 384-, 864- or 1536-well, microtitre plate arrays), pin arrays, and bead arrays (for example, in a liquid “slurry”). Arrays on substrates such as glass or ceramic slides are often referred to as chip arrays or “chips.” Such arrays are well known in the art. In one embodiment of the present invention, the Cancer Prognosticarray is a chip.
  • Data Analysis
  • In some embodiments, one or more pattern recognition methods can be used in analyzing the expression level of target sequences. The pattern recognition method can comprise a linear combination of expression levels, or a nonlinear combination of expression levels. In some embodiments, expression measurements for RNA transcripts or combinations of RNA transcript levels are formulated into linear or non-linear models or algorithms (e.g., an ‘expression signature’) and converted into a likelihood score. This likelihood score indicates the probability that a biological sample is from a patient who may exhibit no evidence of disease, who may exhibit systemic cancer, or who may exhibit biochemical recurrence. The likelihood score can be used to distinguish these disease states. The models and/or algorithms can be provided in machine readable format, and may be used to correlate expression levels or an expression profile with a disease state, and/or to designate a treatment modality for a patient or class of patients.
  • Assaying the expression level for a plurality of targets may comprise the use of an algorithm or classifier. Array data can be managed, classified, and analyzed using techniques known in the art. Assaying the expression level for a plurality of targets may comprise probe set modeling and data pre-processing. Probe set modeling and data pre-processing can be derived using the Robust Multi-Array (RMA) algorithm or variants GC-RMA, IRMA, Probe Logarithmic Intensity Error (PLIER) algorithm or variant iterPLIER. Variance or intensity filters can be applied to pre-process data using the RMA algorithm, for example by removing target sequences with a standard deviation of <10 or a mean intensity of <100 intensity units of a normalized data range, respectively.
  • Alternatively, assaying the expression level for a plurality of targets may comprise the use of a machine learning algorithm. The machine learning algorithm may comprise a supervised learning algorithm. Examples of supervised learning algorithms may include Average One-Dependence Estimators (AODE), Artificial neural network (e.g., Backpropagation), Bayesian statistics (e.g., Naive Bayes classifier, Bayesian network, Bayesian knowledge base), Case-based reasoning, Decision trees, Inductive logic programming, Gaussian process regression, Group method of data handling (GMDH), Learning Automata, Learning Vector Quantization, Minimum message length (decision trees, decision graphs, etc.), Lazy learning, Instance-based learning Nearest Neighbor Algorithm, Analogical modeling, Probably approximately correct learning (PAC) learning, Ripple down rules, a knowledge acquisition methodology, Symbolic machine learning algorithms, Subsymbolic machine learning algorithms, Support vector machines, Random Forests, Ensembles of classifiers, Bootstrap aggregating (bagging), and Boosting. Supervised learning may comprise ordinal classification such as regression analysis and Information fuzzy networks (IFN). Alternatively, supervised learning methods may comprise statistical classification, such as AODE, Linear classifiers (e.g., Fisher's linear discriminant, Logistic regression, Naive Bayes classifier, Perceptron, and Support vector machine), quadratic classifiers, k-nearest neighbor, Boosting, Decision trees (e.g., C4.5, Random forests), Bayesian networks, and Hidden Markov models.
  • The machine learning algorithms may also comprise an unsupervised learning algorithm. Examples of unsupervised learning algorithms may include artificial neural network, Data clustering, Expectation-maximization algorithm, Self-organizing map, Radial basis function network, Vector Quantization, Generative topographic map, Information bottleneck method, and IBSEAD. Unsupervised learning may also comprise association rule learning algorithms such as Apriori algorithm, Eclat algorithm and FP-growth algorithm. Hierarchical clustering, such as Single-linkage clustering and Conceptual clustering, may also be used. Alternatively, unsupervised learning may comprise partitional clustering such as K-means algorithm and Fuzzy clustering.
  • In some instances, the machine learning algorithms comprise a reinforcement learning algorithm. Examples of reinforcement learning algorithms include, but are not limited to, temporal difference learning, Q-learning and Learning Automata. Alternatively, the machine learning algorithm may comprise Data Pre-processing.
  • Preferably, the machine learning algorithms may include, but are not limited to, Average One-Dependence Estimators (AODE), Fisher's linear discriminant, Logistic regression, Perceptron, Multilayer Perceptron, Artificial Neural Networks, Support vector machines, Quadratic classifiers, Boosting, Decision trees, C4.5, Bayesian networks, Hidden Markov models, High-Dimensional Discriminant Analysis, and Gaussian Mixture Models. The machine learning algorithm may comprise support vector machines, Naïve Bayes classifier, k-nearest neighbor, high-dimensional discriminant analysis, or Gaussian mixture models. In some instances, the machine learning algorithm comprises Random Forests.
  • Cancer
  • The systems, compositions and methods disclosed herein may be used to diagnosis, monitor and/or predict the status or outcome of a cancer. Generally, a cancer is characterized by the uncontrolled growth of abnormal cells anywhere in a body. The abnormal cells may be termed cancer cells, malignant cells, or tumor cells. Cancer is not confined to humans; animals and other living organisms can get cancer.
  • In some instances, the cancer may be malignant. Alternatively, the cancer may be benign. The cancer may be a recurrent and/or refractory cancer. Most cancers can be classified as a carcinoma, sarcoma, leukemia, lymphoma, myeloma, or a central nervous system cancer.
  • The cancer may be a sarcoma. Sarcomas are cancers of the bone, cartilage, fat, muscle, blood vessels, or other connective or supportive tissue. Sarcomas include, but are not limited to, bone cancer, fibrosarcoma, chondrosarcoma, Ewing's sarcoma, malignant hemangioendothelioma, malignant schwannoma, bilateral vestibular schwannoma, osteosarcoma, soft tissue sarcomas (e.g. alveolar soft part sarcoma, angiosarcoma, cystosarcoma phylloides, dermatofibrosarcoma, desmoid tumor, epithelioid sarcoma, extraskeletal osteosarcoma, fibrosarcoma, hemangiopericytoma, hemangiosarcoma, Kaposi's sarcoma, leiomyosarcoma, liposarcoma, lymphangiosarcoma, lymphosarcoma, malignant fibrous histiocytoma, neurofibrosarcoma, rhabdomyosarcoma, and synovial sarcoma).
  • Alternatively, the cancer may be a carcinoma. Carcinomas are cancers that begin in the epithelial cells, which are cells that cover the surface of the body, produce hormones, and make up glands. By way of non-limiting example, carcinomas include breast cancer, pancreatic cancer, lung cancer, colon cancer, colorectal cancer, rectal cancer, kidney cancer, bladder cancer, stomach cancer, prostate cancer, liver cancer, ovarian cancer, brain cancer, vaginal cancer, vulvar cancer, uterine cancer, oral cancer, penic cancer, testicular cancer, esophageal cancer, skin cancer, cancer of the fallopian tubes, head and neck cancer, gastrointestinal stromal cancer, adenocarcinoma, cutaneous or intraocular melanoma, cancer of the anal region, cancer of the small intestine, cancer of the endocrine system, cancer of the thyroid gland, cancer of the parathyroid gland, cancer of the adrenal gland, cancer of the urethra, cancer of the renal pelvis, cancer of the ureter, cancer of the endometrium, cancer of the cervix, cancer of the pituitary gland, neoplasms of the central nervous system (CNS), primary CNS lymphoma, brain stem glioma, and spinal axis tumors. In some instances, the cancer is a skin cancer, such as a basal cell carcinoma, squamous, melanoma, nonmelanoma, or actinic (solar) keratosis. Preferably, the cancer is a prostate cancer. Alternatively, the cancer may be a thyroid cancer, bladder cancer, or pancreatic cancer.
  • In some instances, the cancer is a lung cancer. Lung cancer can start in the airways that branch off the trachea to supply the lungs (bronchi) or the small air sacs of the lung (the alveoli). Lung cancers include non-small cell lung carcinoma (NSCLC), small cell lung carcinoma, and mesotheliomia. Examples of NSCLC include squamous cell carcinoma, adenocarcinoma, and large cell carcinoma. The mesothelioma may be a cancerous tumor of the lining of the lung and chest cavity (pleura) or lining of the abdomen (peritoneum). The mesothelioma may be due to asbestos exposure. The cancer may be a brain cancer, such as a glioblastoma.
  • Alternatively, the cancer may be a central nervous system (CNS) tumor. CNS tumors may be classified as gliomas or nongliomas. The glioma may be malignant glioma, high grade glioma, diffuse intrinsic pontine glioma. Examples of gliomas include astrocytomas, oligodendrogliomas (or mixtures of oligodendroglioma and astocytoma elements), and ependymomas. Astrocytomas include, but are not limited to, low-grade astrocytomas, anaplastic astrocytomas, glioblastoma multiforme, pilocytic astrocytoma, pleomorphic xanthoastrocytoma, and subependymal giant cell astrocytoma.
  • Oligodendrogliomas include low-grade oligodendrogliomas (or oligoastrocytomas) and anaplastic oligodendriogliomas. Nongliomas include meningiomas, pituitary adenomas, primary CNS lymphomas, and medulloblastomas. In some instances, the cancer is a meningioma.
  • The cancer may be a leukemia. The leukemia may be an acute lymphocytic leukemia, acute myelocytic leukemia, chronic lymphocytic leukemia, or chronic myelocytic leukemia. Additional types of leukemias include hairy cell leukemia, chronic myelomonocytic leukemia, and juvenile myelomonocytic-leukemia.
  • In some instances, the cancer is a lymphoma. Lymphomas are cancers of the lymphocytes and may develop from either B or T lymphocytes. The two major types of lymphoma are Hodgkin's lymphoma, previously known as Hodgkin's disease, and non-Hodgkin's lymphoma. Hodgkin's lymphoma is marked by the presence of the Reed-Sternberg cell. Non-Hodgkin's lymphomas are all lymphomas which are not Hodgkin's lymphoma. Non-Hodgkin lymphomas may be indolent lymphomas and aggressive lymphomas. Non-Hodgkin's lymphomas include, but are not limited to, diffuse large B cell lymphoma, follicular lymphoma, mucosa-associated lymphatic tissue lymphoma (MALT), small cell lymphocytic lymphoma, mantle cell lymphoma, Burkitt's lymphoma, mediastinal large B cell lymphoma, Waldenström macroglobulinemia, nodal marginal zone B cell lymphoma (NMZL), splenic marginal zone lymphoma (SMZL), extranodal marginal zone B cell lymphoma, intravascular large B cell lymphoma, primary effusion lymphoma, and lymphomatoid granulomatosis.
  • Cancer Staging
  • Diagnosing, predicting, or monitoring a status or outcome of a cancer may comprise determining the stage of the cancer. Generally, the stage of a cancer is a description (usually numbers I to IV with IV having more progression) of the extent the cancer has spread. The stage often takes into account the size of a tumor, how deeply it has penetrated, whether it has invaded adjacent organs, how many lymph nodes it has metastasized to (if any), and whether it has spread to distant organs. Staging of cancer can be used as a predictor of survival, and cancer treatment may be determined by staging. Determining the stage of the cancer may occur before, during, or after treatment. The stage of the cancer may also be determined at the time of diagnosis.
  • Cancer staging can be divided into a clinical stage and a pathologic stage. Cancer staging may comprise the TNM classification. Generally, the TNM Classification of Malignant Tumours (TNM) is a cancer staging system that describes the extent of cancer in a patient's body. T may describe the size of the tumor and whether it has invaded nearby tissue, N may describe regional lymph nodes that are involved, and M may describe distant metastasis (spread of cancer from one body part to another). In the TNM (Tumor, Node, Metastasis) system, clinical stage and pathologic stage are denoted by a small “c” or “p” before the stage (e.g., cT3N1M0 or pT2N0).
  • Often, clinical stage and pathologic stage may differ. Clinical stage may be based on all of the available information obtained before a surgery to remove the tumor. Thus, it may include information about the tumor obtained by physical examination, radiologic examination, and endoscopy. Pathologic stage can add additional information gained by examination of the tumor microscopically by a pathologist. Pathologic staging can allow direct examination of the tumor and its spread, contrasted with clinical staging which may be limited by the fact that the information is obtained by making indirect observations at a tumor which is still in the body. The TNM staging system can be used for most forms of cancer.
  • Alternatively, staging may comprise Ann Arbor staging. Generally, Ann Arbor staging is the staging system for lymphomas, both in Hodgkin's lymphoma (previously called Hodgkin's disease) and Non-Hodgkin lymphoma (abbreviated NHL). The stage may depend on both the place where the malignant tissue is located (as located with biopsy, CT scanning and increasingly positron emission tomography) and on systemic symptoms due to the lymphoma (“B symptoms”: night sweats, weight loss of >10% or fevers). The principal stage may be determined by location of the tumor. Stage I may indicate that the cancer is located in a single region, usually one lymph node and the surrounding area. Stage I often may not have outward symptoms. Stage II can indicate that the cancer is located in two separate regions, an affected lymph node or organ and a second affected area, and that both affected areas are confined to one side of the diaphragm—that is, both are above the diaphragm, or both are below the diaphragm. Stage III often indicates that the cancer has spread to both sides of the diaphragm, including one organ or area near the lymph nodes or the spleen. Stage IV may indicate diffuse or disseminated involvement of one or more extralymphatic organs, including any involvement of the liver, bone marrow, or nodular involvement of the lungs.
  • Modifiers may also be appended to some stages. For example, the letters A, B, E, X, or S can be appended to some stages. Generally, A or B may indicate the absence of constitutional (B-type) symptoms is denoted by adding an “A” to the stage; the presence is denoted by adding a “B” to the stage. E can be used if the disease is “extranodal” (not in the lymph nodes) or has spread from lymph nodes to adjacent tissue. X is often used if the largest deposit is >10 cm large (“bulky disease”), or whether the mediastinum is wider than ⅓ of the chest on a chest X-ray. S may be used if the disease has spread to the spleen.
  • The nature of the staging may be expressed with CS or PS. CS may denote that the clinical stage as obtained by doctor's examinations and tests. PS may denote that the pathological stage as obtained by exploratory laparotomy (surgery performed through an abdominal incision) with splenectomy (surgical removal of the spleen).
  • Therapeutic Regimens
  • Diagnosing, predicting, or monitoring a status or outcome of a cancer may comprise treating a cancer or preventing a cancer progression. In addition, diagnosing, predicting, or monitoring a status or outcome of a cancer may comprise identifying or predicting responders to an anti-cancer therapy. In some instances, diagnosing, predicting, or monitoring may comprise determining a therapeutic regimen. Determining a therapeutic regimen may comprise administering an anti-cancer therapy. Alternatively, determining a therapeutic regimen may comprise modifying, recommending, continuing or discontinuing an anti-cancer regimen. In some instances, if the sample expression patterns are consistent with the expression pattern for a known disease or disease outcome, the expression patterns can be used to designate one or more treatment modalities (e.g., therapeutic regimens, anti-cancer regimen). An anti-cancer regimen may comprise one or more anti-cancer therapies. Examples of anti-cancer therapies include surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, photodynamic therapy.
  • Surgical oncology uses surgical methods to diagnose, stage, and treat cancer, and to relieve certain cancer-related symptoms. Surgery may be used to remove the tumor (e.g., excisions, resections, debulking surgery), reconstruct a part of the body (e.g., restorative surgery), and/or to relieve symptoms such as pain (e.g., palliative surgery). Surgery may also include cryosurgery. Cryosurgery (also called cryotherapy) may use extreme cold produced by liquid nitrogen (or argon gas) to destroy abnormal tissue. Cryosurgery can be used to treat external tumors, such as those on the skin. For external tumors, liquid nitrogen can be applied directly to the cancer cells with a cotton swab or spraying device. Cryosurgery may also be used to treat tumors inside the body (internal tumors and tumors in the bone). For internal tumors, liquid nitrogen or argon gas may be circulated through a hollow instrument called a cryoprobe, which is placed in contact with the tumor. An ultrasound or MRI may be used to guide the cryoprobe and monitor the freezing of the cells, thus limiting damage to nearby healthy tissue. A ball of ice crystals may form around the probe, freezing nearby cells. Sometimes more than one probe is used to deliver the liquid nitrogen to various parts of the tumor. The probes may be put into the tumor during surgery or through the skin (percutaneously). After cryosurgery, the frozen tissue thaws and may be naturally absorbed by the body (for internal tumors), or may dissolve and form a scab (for external tumors).
  • Chemotherapeutic agents may also be used for the treatment of cancer. Examples of chemotherapeutic agents include alkylating agents, anti-metabolites, plant alkaloids and terpenoids, vinca alkaloids, podophyllotoxin, taxanes, topoisomerase inhibitors, and cytotoxic antibiotics. Cisplatin, carboplatin, and oxaliplatin are examples of alkylating agents. Other alkylating agents include mechlorethamine, cyclophosphamide, chlorambucil, ifosfamide. Alkylating agents may impair cell function by forming covalent bonds with the amino, carboxyl, sulfhydryl, and phosphate groups in biologically important molecules. Alternatively, alkylating agents may chemically modify a cell's DNA.
  • Anti-metabolites are another example of chemotherapeutic agents. Anti-metabolites may masquerade as purines or pyrimidines and may prevent purines and pyrimidines from becoming incorporated in to DNA during the “S” phase (of the cell cycle), thereby stopping normal development and division. Antimetabolites may also affect RNA synthesis. Examples of metabolites include azathioprine and mercaptopurine.
  • Alkaloids may be derived from plants and block cell division may also be used for the treatment of cancer. Alkyloids may prevent microtubule function. Examples of alkaloids are vinca alkaloids and taxanes. Vinca alkaloids may bind to specific sites on tubulin and inhibit the assembly of tubulin into microtubules (M phase of the cell cycle). The vinca alkaloids may be derived from the Madagascar periwinkle, Catharanthus roseus (formerly known as Vinca rosea). Examples of vinca alkaloids include, but are not limited to, vincristine, vinblastine, vinorelbine, or vindesine. Taxanes are diterpenes produced by the plants of the genus Taxus (yews). Taxanes may be derived from natural sources or synthesized artificially. Taxanes include paclitaxel (Taxol) and docetaxel (Taxotere). Taxanes may disrupt microtubule function. Microtubules are essential to cell division, and taxanes may stabilize GDP-bound tubulin in the microtubule, thereby inhibiting the process of cell division. Thus, in essence, taxanes may be mitotic inhibitors. Taxanes may also be radiosensitizing and often contain numerous chiral centers.
  • Alternative chemotherapeutic agents include podophyllotoxin. Podophyllotoxin is a plant-derived compound that may help with digestion and may be used to produce cytostatic drugs such as etoposide and teniposide. They may prevent the cell from entering the G1 phase (the start of DNA replication) and the replication of DNA (the S phase).
  • Topoisomerases are essential enzymes that maintain the topology of DNA. Inhibition of type I or type II topoisomerases may interfere with both transcription and replication of DNA by upsetting proper DNA supercoiling. Some chemotherapeutic agents may inhibit topoisomerases. For example, some type I topoisomerase inhibitors include camptothecins: irinotecan and topotecan. Examples of type II inhibitors include amsacrine, etoposide, etoposide phosphate, and teniposide.
  • Another example of chemotherapeutic agents is cytotoxic antibiotics. Cytotoxic antibiotics are a group of antibiotics that are used for the treatment of cancer because they may interfere with DNA replication and/or protein synthesis. Cytotoxic antiobiotics include, but are not limited to, actinomycin, anthracyclines, doxorubicin, daunorubicin, valrubicin, idarubicin, epirubicin, bleomycin, plicamycin, and mitomycin.
  • In some instances, the anti-cancer treatment may comprise radiation therapy. Radiation can come from a machine outside the body (external-beam radiation therapy) or from radioactive material placed in the body near cancer cells (internal radiation therapy, more commonly called brachytherapy). Systemic radiation therapy uses a radioactive substance, given by mouth or into a vein that travels in the blood to tissues throughout the body.
  • External-beam radiation therapy may be delivered in the form of photon beams (either x-rays or gamma rays). A photon is the basic unit of light and other forms of electromagnetic radiation. An example of external-beam radiation therapy is called 3-dimensional conformal radiation therapy (3D-CRT). 3D-CRT may use computer software and advanced treatment machines to deliver radiation to very precisely shaped target areas. Many other methods of external-beam radiation therapy are currently being tested and used in cancer treatment. These methods include, but are not limited to, intensity-modulated radiation therapy (IMRT), image-guided radiation therapy (IGRT), Stereotactic radiosurgery (SRS), Stereotactic body radiation therapy (SBRT), and proton therapy.
  • Intensity-modulated radiation therapy (IMRT) is an example of external-beam radiation and may use hundreds of tiny radiation beam-shaping devices, called collimators, to deliver a single dose of radiation. The collimators can be stationary or can move during treatment, allowing the intensity of the radiation beams to change during treatment sessions. This kind of dose modulation allows different areas of a tumor or nearby tissues to receive different doses of radiation. IMRT is planned in reverse (called inverse treatment planning) In inverse treatment planning, the radiation doses to different areas of the tumor and surrounding tissue are planned in advance, and then a high-powered computer program calculates the required number of beams and angles of the radiation treatment. In contrast, during traditional (forward) treatment planning, the number and angles of the radiation beams are chosen in advance and computers calculate how much dose may be delivered from each of the planned beams. The goal of IMRT is to increase the radiation dose to the areas that need it and reduce radiation exposure to specific sensitive areas of surrounding normal tissue.
  • Another example of external-beam radiation is image-guided radiation therapy (IGRT). In IGRT, repeated imaging scans (CT, MRI, or PET) may be performed during treatment. These imaging scans may be processed by computers to identify changes in a tumor's size and location due to treatment and to allow the position of the patient or the planned radiation dose to be adjusted during treatment as needed. Repeated imaging can increase the accuracy of radiation treatment and may allow reductions in the planned volume of tissue to be treated, thereby decreasing the total radiation dose to normal tissue.
  • Tomotherapy is a type of image-guided IMRT. A tomotherapy machine is a hybrid between a CT imaging scanner and an external-beam radiation therapy machine. The part of the tomotherapy machine that delivers radiation for both imaging and treatment can rotate completely around the patient in the same manner as a normal CT scanner. Tomotherapy machines can capture CT images of the patient's tumor immediately before treatment sessions, to allow for very precise tumor targeting and sparing of normal tissue.
  • Stereotactic radiosurgery (SRS) can deliver one or more high doses of radiation to a small tumor. SRS uses extremely accurate image-guided tumor targeting and patient positioning. Therefore, a high dose of radiation can be given without excess damage to normal tissue. SRS can be used to treat small tumors with well-defined edges. It is most commonly used in the treatment of brain or spinal tumors and brain metastases from other cancer types. For the treatment of some brain metastases, patients may receive radiation therapy to the entire brain (called whole-brain radiation therapy) in addition to SRS. SRS requires the use of a head frame or other device to immobilize the patient during treatment to ensure that the high dose of radiation is delivered accurately.
  • Stereotactic body radiation therapy (SBRT) delivers radiation therapy in fewer sessions, using smaller radiation fields and higher doses than 3D-CRT in most cases. SBRT may treat tumors that lie outside the brain and spinal cord. Because these tumors are more likely to move with the normal motion of the body, and therefore cannot be targeted as accurately as tumors within the brain or spine, SBRT is usually given in more than one dose. SBRT can be used to treat small, isolated tumors, including cancers in the lung and liver. SBRT systems may be known by their brand names, such as the CyberKnife®.
  • In proton therapy, external-beam radiation therapy may be delivered by proton. Protons are a type of charged particle. Proton beams differ from photon beams mainly in the way they deposit energy in living tissue. Whereas photons deposit energy in small packets all along their path through tissue, protons deposit much of their energy at the end of their path (called the Bragg peak) and deposit less energy along the way. Use of protons may reduce the exposure of normal tissue to radiation, possibly allowing the delivery of higher doses of radiation to a tumor.
  • Other charged particle beams such as electron beams may be used to irradiate superficial tumors, such as skin cancer or tumors near the surface of the body, but they cannot travel very far through tissue.
  • Internal radiation therapy (brachytherapy) is radiation delivered from radiation sources (radioactive materials) placed inside or on the body. Several brachytherapy techniques are used in cancer treatment. Interstitial brachytherapy may use a radiation source placed within tumor tissue, such as within a prostate tumor. Intracavitary brachytherapy may use a source placed within a surgical cavity or a body cavity, such as the chest cavity, near a tumor. Episcleral brachytherapy, which may be used to treat melanoma inside the eye, may use a source that is attached to the eye. In brachytherapy, radioactive isotopes can be sealed in tiny pellets or “seeds.” These seeds may be placed in patients using delivery devices, such as needles, catheters, or some other type of carrier. As the isotopes decay naturally, they give off radiation that may damage nearby cancer cells. Brachytherapy may be able to deliver higher doses of radiation to some cancers than external-beam radiation therapy while causing less damage to normal tissue.
  • Brachytherapy can be given as a low-dose-rate or a high-dose-rate treatment. In low-dose-rate treatment, cancer cells receive continuous low-dose radiation from the source over a period of several days. In high-dose-rate treatment, a robotic machine attached to delivery tubes placed inside the body may guide one or more radioactive sources into or near a tumor, and then removes the sources at the end of each treatment session. High-dose-rate treatment can be given in one or more treatment sessions. An example of a high-dose-rate treatment is the MammoSite® system. Bracytherapy may be used to treat patients with breast cancer who have undergone breast-conserving surgery.
  • The placement of brachytherapy sources can be temporary or permanent. For permanent brachytherapy, the sources may be surgically sealed within the body and left there, even after all of the radiation has been given off. In some instances, the remaining material (in which the radioactive isotopes were sealed) does not cause any discomfort or harm to the patient. Permanent brachytherapy is a type of low-dose-rate brachytherapy. For temporary brachytherapy, tubes (catheters) or other carriers are used to deliver the radiation sources, and both the carriers and the radiation sources are removed after treatment. Temporary brachytherapy can be either low-dose-rate or high-dose-rate treatment. Brachytherapy may be used alone or in addition to external-beam radiation therapy to provide a “boost” of radiation to a tumor while sparing surrounding normal tissue.
  • In systemic radiation therapy, a patient may swallow or receive an injection of a radioactive substance, such as radioactive iodine or a radioactive substance bound to a monoclonal antibody. Radioactive iodine (131I) is a type of systemic radiation therapy commonly used to help treat cancer, such as thyroid cancer. Thyroid cells naturally take up radioactive iodine. For systemic radiation therapy for some other types of cancer, a monoclonal antibody may help target the radioactive substance to the right place. The antibody joined to the radioactive substance travels through the blood, locating and killing tumor cells. For example, the drug ibritumomab tiuxetan (Zevalin®) may be used for the treatment of certain types of B-cell non-Hodgkin lymphoma (NHL). The antibody part of this drug recognizes and binds to a protein found on the surface of B lymphocytes. The combination drug regimen of tositumomab and iodine I 131 tositumomab (Bexxar®) may be used for the treatment of certain types of cancer, such as NHL. In this regimen, nonradioactive tositumomab antibodies may be given to patients first, followed by treatment with tositumomab antibodies that have 131I attached. Tositumomab may recognize and bind to the same protein on B lymphocytes as ibritumomab. The nonradioactive form of the antibody may help protect normal B lymphocytes from being damaged by radiation from 131I.
  • Some systemic radiation therapy drugs relieve pain from cancer that has spread to the bone (bone metastases). This is a type of palliative radiation therapy. The radioactive drugs samarium-153-lexidronam (Quadramet®) and strontium-89 chloride (Metastron®) are examples of radiopharmaceuticals may be used to treat pain from bone metastases.
  • Biological therapy (sometimes called immunotherapy, biotherapy, or biological response modifier (BRM) therapy) uses the body's immune system, either directly or indirectly, to fight cancer or to lessen the side effects that may be caused by some cancer treatments. Biological therapies include interferons, interleukins, colony-stimulating factors, monoclonal antibodies, vaccines, gene therapy, and nonspecific immunomodulating agents.
  • Interferons (IFNs) are types of cytokines that occur naturally in the body. Interferon alpha, interferon beta, and interferon gamma are examples of interferons that may be used in cancer treatment.
  • Like interferons, interleukins (ILs) are cytokines that occur naturally in the body and can be made in the laboratory. Many interleukins have been identified for the treatment of cancer. For example, interleukin-2 (IL-2 or aldesleukin), interleukin 7, and interleukin 12 have may be used as an anti-cancer treatment. IL-2 may stimulate the growth and activity of many immune cells, such as lymphocytes, that can destroy cancer cells. Interleukins may be used to treat a number of cancers, including leukemia, lymphoma, and brain, colorectal, ovarian, breast, kidney and prostate cancers.
  • Colony-stimulating factors (CSFs) (sometimes called hematopoietic growth factors) may also be used for the treatment of cancer. Some examples of CSFs include, but are not limited to, G-CSF (filgrastim) and GM-CSF (sargramostim). CSFs may promote the division of bone marrow stem cells and their development into white blood cells, platelets, and red blood cells. Bone marrow is critical to the body's immune system because it is the source of all blood cells. Because anticancer drugs can damage the body's ability to make white blood cells, red blood cells, and platelets, stimulation of the immune system by CSFs may benefit patients undergoing other anti-cancer treatment, thus CSFs may be combined with other anti-cancer therapies, such as chemotherapy. CSFs may be used to treat a large variety of cancers, including lymphoma, leukemia, multiple myeloma, melanoma, and cancers of the brain, lung, esophagus, breast, uterus, ovary, prostate, kidney, colon, and rectum.
  • Another type of biological therapy includes monoclonal antibodies (MOABs or MoABs). These antibodies may be produced by a single type of cell and may be specific for a particular antigen. To create MOABs, a human cancer cells may be injected into mice. In response, the mouse immune system can make antibodies against these cancer cells. The mouse plasma cells that produce antibodies may be isolated and fused with laboratory-grown cells to create “hybrid” cells called hybridomas. Hybridomas can indefinitely produce large quantities of these pure antibodies, or MOABs. MOABs may be used in cancer treatment in a number of ways. For instance, MOABs that react with specific types of cancer may enhance a patient's immune response to the cancer. MOABs can be programmed to act against cell growth factors, thus interfering with the growth of cancer cells.
  • MOABs may be linked to other anti-cancer therapies such as chemotherapeutics, radioisotopes (radioactive substances), other biological therapies, or other toxins. When the antibodies latch onto cancer cells, they deliver these anti-cancer therapies directly to the tumor, helping to destroy it. MOABs carrying radioisotopes may also prove useful in diagnosing certain cancers, such as colorectal, ovarian, and prostate.
  • Rituxan® (rituximab) and Herceptin® (trastuzumab) are examples of MOABs that may be used as a biological therapy. Rituxan may be used for the treatment of non-Hodgkin lymphoma. Herceptin can be used to treat metastatic breast cancer in patients with tumors that produce excess amounts of a protein called HER2. Alternatively, MOABs may be used to treat lymphoma, leukemia, melanoma, and cancers of the brain, breast, lung, kidney, colon, rectum, ovary, prostate, and other areas.
  • Cancer vaccines are another form of biological therapy. Cancer vaccines may be designed to encourage the patient's immune system to recognize cancer cells. Cancer vaccines may be designed to treat existing cancers (therapeutic vaccines) or to prevent the development of cancer (prophylactic vaccines). Therapeutic vaccines may be injected in a person after cancer is diagnosed. These vaccines may stop the growth of existing tumors, prevent cancer from recurring, or eliminate cancer cells not killed by prior treatments. Cancer vaccines given when the tumor is small may be able to eradicate the cancer. On the other hand, prophylactic vaccines are given to healthy individuals before cancer develops. These vaccines are designed to stimulate the immune system to attack viruses that can cause cancer. By targeting these cancer-causing viruses, development of certain cancers may be prevented. For example, cervarix and gardasil are vaccines to treat human papilloma virus and may prevent cervical cancer. Therapeutic vaccines may be used to treat melanoma, lymphoma, leukemia, and cancers of the brain, breast, lung, kidney, ovary, prostate, pancreas, colon, and rectum. Cancer vaccines can be used in combination with other anti-cancer therapies.
  • Gene therapy is another example of a biological therapy. Gene therapy may involve introducing genetic material into a person's cells to fight disease. Gene therapy methods may improve a patient's immune response to cancer. For example, a gene may be inserted into an immune cell to enhance its ability to recognize and attack cancer cells. In another approach, cancer cells may be injected with genes that cause the cancer cells to produce cytokines and stimulate the immune system.
  • In some instances, biological therapy includes nonspecific immunomodulating agents. Nonspecific immunomodulating agents are substances that stimulate or indirectly augment the immune system. Often, these agents target key immune system cells and may cause secondary responses such as increased production of cytokines and immunoglobulins. Two nonspecific immunomodulating agents used in cancer treatment are bacillus Calmette-Guerin (BCG) and levamisole. BCG may be used in the treatment of superficial bladder cancer following surgery. BCG may work by stimulating an inflammatory, and possibly an immune, response. A solution of BCG may be instilled in the bladder. Levamisole is sometimes used along with fluorouracil (5-FU) chemotherapy in the treatment of stage III (Dukes' C) colon cancer following surgery. Levamisole may act to restore depressed immune function.
  • Photodynamic therapy (PDT) is an anti-cancer treatment that may use a drug, called a photosensitizer or photosensitizing agent, and a particular type of light. When photosensitizers are exposed to a specific wavelength of light, they may produce a form of oxygen that kills nearby cells. A photosensitizer may be activated by light of a specific wavelength. This wavelength determines how far the light can travel into the body. Thus, photosensitizers and wavelengths of light may be used to treat different areas of the body with PDT.
  • In the first step of PDT for cancer treatment, a photosensitizing agent may be injected into the bloodstream. The agent may be absorbed by cells all over the body but may stay in cancer cells longer than it does in normal cells. Approximately 24 to 72 hours after injection, when most of the agent has left normal cells but remains in cancer cells, the tumor can be exposed to light. The photosensitizer in the tumor can absorb the light and produces an active form of oxygen that destroys nearby cancer cells. In addition to directly killing cancer cells, PDT may shrink or destroy tumors in two other ways. The photosensitizer can damage blood vessels in the tumor, thereby preventing the cancer from receiving necessary nutrients. PDT may also activate the immune system to attack the tumor cells.
  • The light used for PDT can come from a laser or other sources. Laser light can be directed through fiber optic cables (thin fibers that transmit light) to deliver light to areas inside the body. For example, a fiber optic cable can be inserted through an endoscope (a thin, lighted tube used to look at tissues inside the body) into the lungs or esophagus to treat cancer in these organs. Other light sources include light-emitting diodes (LEDs), which may be used for surface tumors, such as skin cancer. PDT is usually performed as an outpatient procedure. PDT may also be repeated and may be used with other therapies, such as surgery, radiation, or chemotherapy.
  • Extracorporeal photopheresis (ECP) is a type of PDT in which a machine may be used to collect the patient's blood cells. The patient's blood cells may be treated outside the body with a photosensitizing agent, exposed to light, and then returned to the patient. ECP may be used to help lessen the severity of skin symptoms of cutaneous T-cell lymphoma that has not responded to other therapies. ECP may be used to treat other blood cancers, and may also help reduce rejection after transplants.
  • Additionally, photosensitizing agent, such as porfimer sodium or Photofrin®, may be used in PDT to treat or relieve the symptoms of esophageal cancer and non-small cell lung cancer. Porfimer sodium may relieve symptoms of esophageal cancer when the cancer obstructs the esophagus or when the cancer cannot be satisfactorily treated with laser therapy alone. Porfimer sodium may be used to treat non-small cell lung cancer in patients for whom the usual treatments are not appropriate, and to relieve symptoms in patients with non-small cell lung cancer that obstructs the airways. Porfimer sodium may also be used for the treatment of precancerous lesions in patients with Barrett esophagus, a condition that can lead to esophageal cancer.
  • Laser therapy may use high-intensity light to treat cancer and other illnesses. Lasers can be used to shrink or destroy tumors or precancerous growths. Lasers are most commonly used to treat superficial cancers (cancers on the surface of the body or the lining of internal organs) such as basal cell skin cancer and the very early stages of some cancers, such as cervical, penile, vaginal, vulvar, and non-small cell lung cancer.
  • Lasers may also be used to relieve certain symptoms of cancer, such as bleeding or obstruction. For example, lasers can be used to shrink or destroy a tumor that is blocking a patient's trachea (windpipe) or esophagus. Lasers also can be used to remove colon polyps or tumors that are blocking the colon or stomach.
  • Laser therapy is often given through a flexible endoscope (a thin, lighted tube used to look at tissues inside the body). The endoscope is fitted with optical fibers (thin fibers that transmit light). It is inserted through an opening in the body, such as the mouth, nose, anus, or vagina. Laser light is then precisely aimed to cut or destroy a tumor.
  • Laser-induced interstitial thermotherapy (LITT), or interstitial laser photocoagulation, also uses lasers to treat some cancers. LITT is similar to a cancer treatment called hyperthermia, which uses heat to shrink tumors by damaging or killing cancer cells. During LITT, an optical fiber is inserted into a tumor. Laser light at the tip of the fiber raises the temperature of the tumor cells and damages or destroys them. LITT is sometimes used to shrink tumors in the liver.
  • Laser therapy can be used alone, but most often it is combined with other treatments, such as surgery, chemotherapy, or radiation therapy. In addition, lasers can seal nerve endings to reduce pain after surgery and seal lymph vessels to reduce swelling and limit the spread of tumor cells.
  • Lasers used to treat cancer may include carbon dioxide (CO2) lasers, argon lasers, and neodymium:yttrium-aluminum-garnet (Nd:YAG) lasers. Each of these can shrink or destroy tumors and can be used with endoscopes. CO2 and argon lasers can cut the skin's surface without going into deeper layers. Thus, they can be used to remove superficial cancers, such as skin cancer. In contrast, the Nd:YAG laser is more commonly applied through an endoscope to treat internal organs, such as the uterus, esophagus, and colon. Nd:YAG laser light can also travel through optical fibers into specific areas of the body during LITT. Argon lasers are often used to activate the drugs used in PDT.
  • For patients with high test scores consistent with systemic disease outcome after prostatectomy, additional treatment modalities such as adjuvant chemotherapy (e.g., docetaxel, mitoxantrone and prednisone), systemic radiation therapy (e.g., samarium or strontium) and/or anti-androgen therapy (e.g., surgical castration, finasteride, dutasteride) can be designated. Such patients would likely be treated immediately with anti-androgen therapy alone or in combination with radiation therapy in order to eliminate presumed micro-metastatic disease, which cannot be detected clinically but can be revealed by the target sequence expression signature.
  • Such patients can also be more closely monitored for signs of disease progression. For patients with intermediate test scores consistent with biochemical recurrence only (BCR-only or elevated PSA that does not rapidly become manifested as systemic disease only localized adjuvant therapy (e.g., radiation therapy of the prostate bed) or short course of anti-androgen therapy would likely be administered. For patients with low scores or scores consistent with no evidence of disease (NED) adjuvant therapy would not likely be recommended by their physicians in order to avoid treatment-related side effects such as metabolic syndrome (e.g., hypertension, diabetes and/or weight gain), osteoporosis, proctitis, incontinence or impotence. Patients with samples consistent with NED could be designated for watchful waiting, or for no treatment. Patients with test scores that do not correlate with systemic disease but who have successive PSA increases could be designated for watchful waiting, increased monitoring, or lower dose or shorter duration anti-androgen therapy.
  • Target sequences can be grouped so that information obtained about the set of target sequences in the group can be used to make or assist in making a clinically relevant judgment such as a diagnosis, prognosis, or treatment choice.
  • A patient report is also provided comprising a representation of measured expression levels of a plurality of target sequences in a biological sample from the patient, wherein the representation comprises expression levels of target sequences corresponding to any one, two, three, four, five, six, eight, ten, twenty, thirty, forty, fifty or more of the target sequences corresponding to a target selected from Table 1 or SEQ ID NOs: 1-1815, the subsets described herein, or a combination thereof. In some embodiments, the representation of the measured expression level(s) may take the form of a linear or nonlinear combination of expression levels of the target sequences of interest. The patient report may be provided in a machine (e.g., a computer) readable format and/or in a hard (paper) copy. The report can also include standard measurements of expression levels of said plurality of target sequences from one or more sets of patients with known disease status and/or outcome. The report can be used to inform the patient and/or treating physician of the expression levels of the expressed target sequences, the likely medical diagnosis and/or implications, and optionally may recommend a treatment modality for the patient.
  • Also provided are representations of the gene expression profiles useful for treating, diagnosing, prognosticating, and otherwise assessing disease. In some embodiments, these profile representations are reduced to a medium that can be automatically read by a machine such as computer readable media (magnetic, optical, and the like). The articles can also include instructions for assessing the gene expression profiles in such media. For example, the articles may comprise a readable storage form having computer instructions for comparing gene expression profiles of the portfolios of genes described above. The articles may also have gene expression profiles digitally recorded therein so that they may be compared with gene expression data from patient samples. Alternatively, the profiles can be recorded in different representational format. A graphical recordation is one such format. Clustering algorithms can assist in the visualization of such data.
  • Cancer Aggressiveness Prediction
  • In some embodiments, the methods and genomic classifiers of the present invention are useful for predicting aggressive prostate cancer. In some embodiments, the methods and genomic classifiers of the present invention are used to predict patient outcomes such as biochemical recurrence (BCR), metastasis (MET) and prostate cancer death (PCSM) after radical prostatectomy. In other embodiments, the methods and genomic classifiers of the present invention are used to predict patient outcomes such as distant metastasis-free survival (DMFS), biochemical recurrence-free survival (bRFS), prostate cancer specific survival (PCSS), and overall survival (OS).
  • Metastasis Prediction
  • In some embodiments, the methods and genomic classifiers of the present invention are useful for predicting prostate cancer metastasis following radical prostatectomy. In other embodiments, the methods and genomic classifiers of the present invention are useful for determining a course of treatment following radical prostatectomy.
  • The following examples are provided to further illustrate the advantages and features of the present invention, but are not intended to limit the scope of the invention. While they are typical of those that might be used, other procedures, methodologies, or techniques known to those skilled in the art may alternatively be used.
  • EXAMPLES Example 1: A Genomic Classifier to Predict Aggressive Prostate Cancer in Humans
  • A genomic classifier to predict aggressive prostate cancer in human subjects was developed as follows. To build, validate and evaluate the novel genomic model, a total of 9,901 genome-wide expression profiles from assays of biopsy and radical prostatectomy (RP) tumor tissue specimens. This included genome-wide expression, treatment and outcomes data from 1,261 prostate cancer patients treated with RP in seven retrospective institutional cohorts. A second set of de-identified, and anonymized prospective RP cases with basic demographic and pathological data from clinical use of the Decipher RP test (n=6,739) was also part of this cohort. Finally, the third set of patient data included 1,694 prospective biopsy expression profiles with basic clinical data and 253 retrospective biopsy profiles with detailed clinical data at biopsy and pathological data at RP.
  • The retrospective RP data from 1,261 patients, as well as a randomly selected sample of 2,041 patients, which represents 30% of the prospectively collected RP samples, were used as a development cohort for the novel genomic model. The remaining 70% (n=4,698) of the prospectively collected RP samples, as well as 1,694 prospectively collected biopsy samples and 253 retrospectively collected biopsy samples (with known pathological variables at RP) were used as validation cohorts for the novel genomic model.
  • Affymetrix Human Exon 1.0 ST microarray (Affymetrix, Santa Clara, Calif.) data were obtained from the formalin-fixed paraffin-embedded biopsy and RP specimens described above. Microarray processing was performed in a CLIA-certified clinical operations laboratory (GenomeDx Biosciences, Inc, San Diego, Calif.). Microarrays were normalized using Single Channel Array Normalization. (Piccolo et al. Genomics. 2012; 100(6):337-344.)
  • The first step in the model development was to assign a metastasis score to a large prospective cohort of 1,539 patients into high metastatic risk and low metastatic risk using the validated Decipher signature (DV1). Next, these patients were grouped into high aggressiveness category (high DV1 and GS≥8) and low aggressiveness category (low DV1 and GS≥7). To select gene features for the novel genomics classifier (DV2), we processed a retrospective cohort of 545 patients treated with RP, who had long-term follow-up and clinical recurrence outcomes (metastasis vs. no metastasis) with an additional 400 prospective patients, for whom the outcome of interest was low aggressive disease (LAD) vs high aggressive disease (HAD). We selected genes that were associated with HAD, and/or metastasis (FDR adjusted p-value 0.05). From this process, a total of 172 genes were selected to train the DV2 model. Next, we trained DV2 on a total of 1,539 prospective samples (HAD: 269, LAD:1,270) using a GLMNET model with Elasticnet mixing parameters 0.5 and the 172 filtered genes. Model optimization and performance evaluation on training data was determined using 10-fold cross validation. DV2 generates scores from between 0 and 1, where patients with higher score will have higher probability of metastasis.
  • Statistical Analysis
  • All statistical analyses were conducted using R version 3.3.2 and all tests of significance were two-sided at the 0.05 level. The primary endpoint of the analysis is high stage disease, which is defined as pathological stage T3b or above or node positive at RP. The secondary endpoint is high grade disease, which is defined as pathological Gleason Grade Group 4 to 5. Analysis were performed in both prospective and retrospective biopsy sets. Age, pretreatment PSA (log 2 transformed) and percent positive cores were modeled as continuous variables, and clinical stage, clinical Gleason Scores were treated as categorical variables. NCCN risk category was calculated using clinical stage, clinical Gleason and pretreatment PSA. The association between the genomic models and clinical pathological features were evacuated using Spearman's rank correlation. The performance of clinical model, DV1 and DV2 were compared using area under ROC curves, univariable and multivariable logistic regression models. Firth's penalized likelihood method was used in the retrospective biopsy set to adjust for rare event.
  • Results
  • In the retrospective RP data set (n=545) 812 genes were differentially expressed between tumors of patients with metastasis compared to those without after a median follow up 17 years. We used about 30% (n=2,041) of the prospective RP data set to select genes and train the DV2 model. Using the composite endpoint, we identified 1,584 differentially expressed genes comparing tumors with high and low genomic-pathologic scores. We identified 172 genes from the intersection of these two selection steps. A subset of 1,539 prospective RP patient data were then used to train the final DV2 model, again using the genomic-pathologic endpoint in a generalized linear model (GLMnet). After training the GLMnet, the final DV2 model was comprised of 60 genes with non-zero weights (Table 1). In the training data set, DV2 achieved a 10-fold cross-validated AUC of 0.92 to predict high tumor genomic-pathologic score.
  • TABLE 1
    Gene Targets
    AC020571.3 FTH1P2 LIPH OR51A6P RP11-159H20.3 SMC4
    ANO7 FTH1P8 LPAR3 PABPC1 RP11-755O11.2 TIPARP
    ARL6IP1P2 GLB1L2 LPGAT1 PART1 RP11-770G2.5 TMEM100
    ASPN GLB1L3 MIR4435-1HG PCAT14 RP11-923I11.3 TNFRSF19
    AZGP1 GLYATL1P3 MKI67 PGM5P4-AS1 RP13-753N3.3 TOP2A
    AZGP1P1 GMNN MLLT11 PICK1 RPL31P57 TPX2
    DEGS1 HIF3A MYBPC1 PTTG1 SCIN TRIQK
    ERO1LB INHBA NADK2 R3HDM1 SESN3 VBP1
    FBXL8 KIAA1210 NR4A1 RNA5SP121 SETP14 WFDC2
    FMO5 KRT15 NUSAP1 RP11-121G22.3 SLC22A3 XPO6

    Correlation of Model Scores with Clinical Features of Prostate Cancer Tumors Sampled at Diagnosis and after RP
  • We first evaluated DV1 and DV2 in a prospective data set of 1,694 tumor expression profiles obtained from Decipher biopsy testing, which is representative of the spectrum of non-metastatic, localized disease observed in contemporary practice (Table 2). As depicted in FIGS. 1A and 1B, both models positively correlated with biopsy Grade Groups (p<0.001) and NCCN risk categories (p<0.001) as well as diagnostic PSA, clinical stage and percentage of positive cores (p<0.001) (FIGS. 2A-C). Similarly, in the remaining prospective RP data set not used for DV2 training (n=6,739) model scores were positively correlated (Spearman's rank correlation, p<0.001) with pathological tumor grade and stage (FIG. 3A-B). Expectedly, the model scores in prospective RP and biopsy tumor specimens showed highly concordant distributions across the tumor Grade Groups (FIG. 4).
  • TABLE 2
    Prospective cohort for testing DV1 and DV2.
    Variables Prospective Biopsy
    Total 1694
    Age
    Median (Q1, Q3) 67 (61, 72)
    PSA
    ≤5 451 (26.6)
     5-10 663 (39.1)
    10-20 219 (12.9)
    >20 93 (5.5)
    Unknown 268 (15.8)
    Clinical Gleason Score
    ≤3 + 3 659 (38.9)
    3+ 4 569 (33.6)
    4+ 3 232 (13.7)
    8 141 (8.3)
    9-10 93 (5.5)
    Unknown
    Clinical stage
    ≤T1c 898 (53.0)
    T2a 123 (7.3)
    T2b/c 121 (7.1)
    ≥T3 18 (1.1)
    Unknown 534 (31.5)
    NCCN risk categories
    Low 340 (20.1)
    Intermediate 856 (50.5)
    High 288 (17.0)
    Unknown 210 (12.4)
    Pathological Gleason Score
    ≤3 + 3
    3 + 4
    4 + 3
    8
    9-10
    Unknown 1694 (100.0)
    Pathological stage
    pT2
    pT3a
    pT3b
    pT4
    Unknown 1694 (100.0)
    Surgical Margin
    Negative
    Positive
    Unknown 1694 (100.0)
    Extracapsular Extension
    Absent
    Present
    Unknown 1694 (100.0)
    Seminal Vesicle Invasion
    Absent
    Present
    Unknown 1694 (100.0)
    Lymph Node Involvement
    Absent
    Present
    Unknown 1694 (100.0)
    Adverse Pathology (pT3b+/LNI+)
    0
    1
    Unknown 1694 (100.0)
  • Genomic Classifier Scores Predict Presence of Higher-Grade Disease Upon Pathological Re-Review
  • In the prospective cohort, independent pathological review was performed in order to select tumor tissue among the prostate needle biopsy cores submitted for the Decipher genome-wide expression assay. We evaluated the distribution of DV1 and DV2 scores among cases where tumor grading changed (FIG. 5). This analysis showed both genomic models were not only positively correlated (p<0.001) with independent histological review, but both DV1 and DV2 assigned higher scores to patients who were upgraded and lower scores to those were downgraded upon re-review
  • The clinical impact was particularly pronounced in tumors from patients submitted for testing with an initial diagnosis of Grade Group 1 (Gleason 3+3) disease and available independent histological review. Of this subset (n=534), upgrading was observed in 157 (29%) of cases, including 13 that were upgraded to primary pattern 4 or higher (Grade Group 3-5). When these cases were assessed by DV1 and DV2, we found the DV1 model showed median scores of 0.39, 0.46, 0.59 in GG1, GG2, and GG3-5 patients, respectively (FIG. 6A). The median scores for the DV2 model in GG1, GG2, and GG3-5 patients were 0.05, 0.08 and 0.25 (FIG. 6B). The corresponding AUCs for predicting any upgrade among the Grade Group 1 tumors were 0.61 and 0.63 for DV1 and DV2; compared to 0.59, 0.55 and 0.58 for age, PSA and percent positive cores, respectively (FIG. 6C). In MVA analyses adjusting for clinical risk factors for up-grading, each 0.1 change in DV1 and DV2 scores were associated with 29% and 30% increased odds of up-grading on re-review (Table 3). Similarly, among patients initially diagnosed with Gleason 3+4 disease, both models were significant predictors of up-grading to 4+3 or above in both UVA and MVA analyses (data not shown).
  • TABLE 3
    Logistic regression model for predicting upgrade
    to GG2-GG5 in prospective biopsy GG1 subset
    UVA MVA
    Models variables OR CI P-value OR CI P-value
    (A) DV1 Age 1.04 (1.02-1.07) 0.002 1.04 (1.01-1.07) 0.005
    log(pre-op PSA) 1.24 (0.98-1.58) 0.07 1.13 (0.88-1.45) 0.332
    % positive cores 1.01   (1-1.02) 0.026 1.01   (1-1.02) 0.019
    DV1 * 1.27 (1.14-1.42) <0.001 1.29 (1.15-1.45) <0.001
    (B) DV2 Age 1.04 (1.02-1.07) 0.002 1.03   (1-1.06) 0.024
    log(pre-op PSA) 1.24 (0.98-1.58) 0.07 1.13 (0.88-1.44) 0.347
    % positive cores 1.01   (1-1.02) 0.026 1.01   (1-1.02) 0.03
    DV2 * 1.33 (1.17-1.52) <0.001 1.31 (1.15-1.49) <0.001
    * per 0.1 increment of the model scores

    Prediction of Higher Stage Disease at RP and Metastasis Post RP from Analysis of Diagnostic Biopsy Specimens
  • Next, we evaluated the performance of the classifiers in a retrospective multi-institutional cohort of 253 men with Decipher biopsy data who were treated with RP and had detailed clinical and pathological data available for analysis. Demographic and clinical characteristics of this patient cohort is provided in Table 2. The median patient age at RP was 63 years (interquartile range [IQR] 57-68) with a median pre-treatment PSA of 6.60 ng/mL (IQR 4.75-11.95). At initial diagnostic biopsy, 56% of patients had Grade Group 1 and 33% clinical stage T1 disease. Accordingly, pre-treatment NCCN risk groupings classified 42% and 28% of patients as harboring low- and intermediate-risk disease, respectively. Pathological analysis of the RP specimens revealed, only 29% remained with Grade Group 1 disease and due to up-grading, 38% had Grade Group ≥3 (i.e., Gleason score 4+3 or greater) disease in the prostatectomy. Similarly, tumor pathological staging showed that 46% had extra-prostatic extension, 14% had seminal vesicle invasion and 19% had lymph node involvement. The composite end-point of high-stage disease, defined as the presence of seminal vesicle invasion or lymph node involvement was present in 21% of patients. With a median follow up post diagnosis of 7.85 years, 27 patients developed metastasis and 10 died of prostate cancer.
  • TABLE 4
    Patient Characteristics
    Variables Study Cohort
    No. patients (%) 253 (100.0)
    Age at RP
    Median (Q1, Q3) 62.6 (57.2, 68)
    Pre-Operative PSA
    Median (Q1, Q3) 6.6 (4.75, 12)
    Biopsy Grade Groups
    Grade Group
    1 141 (55.7)
    Grade Group 2 38 (15.0)
    Grade Group 3 27 (10.7)
    Grade Group 4 31 (12.3)
    Grade Group 5 16 (6.3)
    Clinical Stage
    T1 142 (56.1)
    T2 81 (32.0)
    T3 or higher 10 (4.0)
    Unknown 20 (7.9)
    NCCN Risk Groups
    Low 90 (35.6)
    Intermediate Favorable 29 (11.5)
    Intermediate Unfavorable 39 (15.4)
    High 72 (28.5)
    Unknown 23 (9.1)
    Follow up time for Censored Patients (years)
    Median (Q1, Q3) 7.85 (5.48, 10.9)
  • We next assessed the ability of the genomic classifiers to predict the presence of lymph node involvement (LNI) upon final pathology at RP. As observed in the prospective cohorts, in the retrospective biopsy specimens both models had higher scores on average to predict patients with higher grade and stage disease (p<0.001) (FIGS. 7A-B). The AUC for predicting lymph node involvement (LNI) was 0.74 and 0.77 for DV1 and DV2 models respectively (FIG. 8). Similar results were obtained for the high-grade, extra-prostatic extension, seminal vesicle invasion (SVI) and a composite end-point (SVI or LNI). Using logistic regression, we found that every 0.1 increase in DV1 and DV2 model scores were associated with 18% and 40% increased odds of lymph node involvement at RP in MVA (Table 5). These data support the observation that there are many clinically lower grade patients at diagnosis that harbor high clinical-genomic risk disease which can be detected using the genomic classifiers described herein.
  • TABLE 5
    Lymph Node Invasion. UVA/MVA Tables
    UVA MVA
    model variable OR CI p OR CI p
    Model 1 BX Grade Group 2 (ref: Grade 1.99 0.45-8.74 0.363 0.82 0.17-4.00 0.805
    Group 1)
    BX Grade Group 3 (ref: Grade 5.27  1.41-19.75 0.014 2.53  0.60-10.65 0.206
    Group 1)
    BX Grade Group 4 (ref: Grade 5.57  1.57-19.69 0.008 1.53 0.36-6.50 0.566
    Group 1)
    BX Grade Group 5 (ref: Grade 18.04  4.76-68.43 <0.001 6.88  1.62-29.18 0.009
    Group 1)
    Clinical Stage ≥ T2 (ref: Clinical 6.38  2.45-16.61 <0.001 4.52  1.55-13.16 0.006
    Stage < T2a)
    Decipher* 1.66 1.30-2.12 <0.001 1.43 1.10-1.88 0.009
    Model 2 BX Grade Group 2 (ref: Grade 1.99 0.45-8.74 0.363 1.01 0.21-4.87 0.986
    Group 1)
    BX Grade Group 3 (ref: Grade 5.27  1.41-19.75 0.014 2.71  0.64-11.43 0.174
    Group 1)
    BX Grade Group 4 (ref: Grade 5.57  1.57-19.69 0.008 1.73 0.41-7.24 0.451
    Group 1)
    BX Grade Group 5 (ref: Grade 18.04  4.76-68.43 <0.001 6.62  1.55-28.22 0.011
    Group 1)
    Clinical Stage ≥ T2 (ref: Clinical 6.38  2.45-16.61 <0.001 3.98  1.35-11.75 0.012
    Stage < T2a)
    Decipher V2* 1.48 1.26-1.75 <0.001 1.28 1.06-1.54 0.010
    Model 3 Partin Table 1.09 1.05-1.13 <0.001 1.08 1.04-1.13 <0.001
    Decipher* 1.66 1.30-2.12 <0.001 1.57 1.22-2.04 0.001
    Model 4 Partin Table 1.09 1.05-1.13 <0.001 1.08 1.04-1.12 <0.001
    Decipher V2* 1.48 1.26-1.75 <0.001 1.42 1.19-1.69 <0.001
    Model 5 Decipher + NCCN Low Reference Reference 1
    Decipher + NCCN Intermediate 13.84  1.71-111.72 0.014
    Decipher + NCCN High 48.47  6.20-379.22 <0.001
    Model 6 Decipher + NCCN 2.37 1.68-3.33 <0.001
    *Decipher and Decipher V2 reported per 0.1 unit increase
  • Prediction of Future Metastasis
  • Finally, we evaluated the models for their ability to prognosticate the development of postoperative metastasis and BCR. Both models were significant predictors of distant metastasis. The addition of the genomic classifier models to clinical risk factors increased the AUC for predicting metastasis for DV1 and DV2 respectively. Similar results were observed for the prostate-cancer specific mortality end-point. Multivariable analysis further demonstrated that the prognostic information in the GC models is independent of clinical risk factors.
  • These results showed that genomic classifiers of the present invention are useful for predicting presence of higher-grade disease in prostate cancer subjects. These results further showed that genomic classifiers of the present invention are useful for predicting metastasis in prostate cancer subjects. These results suggested that the methods and markers of the present invention would be useful for diagnosing, prognosing, determining the progression of cancer, or predicting benefit from therapy in a subject having prostate cancer. The results showed that the subtyping methods of the present invention may be used to determine a treatment for a subject with prostate cancer.
  • TABLE 6
    Univariate Analysis of Target Genes
    coef exp. coef. se. coef. z Pr . . . z . . .
    AC020571.3 −1.018756 0.361043799 0.375053027 −2.716298565 0.006601635
    ANO7 2.728934592 0.065288812 0.407289095 −6.700239767 2.08078E−11
    ARL6IP1P2 0.211639304 1.235702092 0.157938082 1.340014397 0.180240664
    ASPN 0.734576998 2.084600016 0.289962212 2.533354234 0.011297672
    AZGP1 −1.081098477 0.339222692 0.227282585 −4.756626977 1.96854E−06
    AZGP1P1 −1.259174028 0.283888413 0.447362548 −2.814661249 0.004882867
    DEGS1 0.815286842 2.259823792 0.272577955 2.99102267 0.002780449
    ERO1LB 1.958519505 7.088824322 0.431696059 4.536801915 5.71137E−06
    FBXL8 −1.902271331 0.149229285 0.527510253 −3.606131483 0.000310796
    FMO5 −1.562260035 0.209661693 0.801119597 −1.950095892 0.051164691
    FTH1P2 0.940180631 2.560443872 0.276199928 3.403985792 0.000664102
    FTH1P8 0.197938579 1.218887527 0.207877904 0.952186721 0.341002294
    GLB1L2 −4.026340996 0.017839485 0.847895107 −4.748631004 2.04798E−06
    GLB1L3 −5.550073036 0.003887173 1.064791391 −5.212357164 1.86456E−07
    GLYATL1P3 −0.620320485 0.537772062 0.23410423 −2.649761971 0.00805485
    GMNN 2.092700107 8.106774799 0.551073019 3.797500574 0.000146162
    HIF3A 0.252313025 1.286998838 1.03815061 0.243040868 0.807973738
    INHBA 2.684983887 14.65796519 0.765096464 3.509340344 0.00044922
    KIAA1210 −1.02505771 0.35877576 0.853948067 −1.200374764 0.229993825
    KRT15 −1.670025537 0.188242258 0.626029324 −2.66764746 0.007638436
    LIPH −3.364385361 0.034583266 0.944887437 −3.56062027 0.00036998
    LPAR3 −0.844270997 0.429870621 0.436019683 −1.936313953 0.052829261
    LPGAT1 1.220418809 3.388606616 0.389461365 3.133606872 0.00172672
    MIR4435-1HG −0.367725003 0.692307538 0.604570586 −0.608241637 0.543027223
    MKI67 6.792362118 891.0157626 0.946815078 7.173905732 7.28861E−13
    MLLT11 0.81044494 2.248908393 0.732562253 1.106315452 0.268590006
    MYBPC1 −1.152171977 0.315949788 0.249798588 −4.612403886 3.98039E−06
    NADK2 0.470137995 1.600215 0.636159807 0.739024991 0.459891822
    NR4A1 −1.596285011 0.202647956 0.265223126 −6.01864941 1.75878E-09
    NUSAP1 4.415561211 82.72825585 0.707849482 6.237994554 4.43216E−10
    OR51A6P −1.959242252 0.140965197 0.66373524 −2.951843046 0.003158834
    PABPC1 0.755077881 2.127777231 0.278842085 2.707905018 0.00677094
    PART1 −2.421642916 0.088775647 0.651032126 −3.71969803 0.000199461
    PCAT14 −0.397683215 0.671874834 0.089040775 −4.466304519 7.95823E−06
    PGM5P4-AS1 −1.064105371 0.345036396 0.529431364 −2.009902402 0.044441519
    PICK1 −3.052693795 0.047231521 0.94395319 −3.233946162 0.001220925
    PTTG1 5.054760024 156.7669056 0.720961903 7.011133323 2.364E−12
    R3HDM1 1.124121147 3.077510979 0.688704174 1.632226417 0.102631798
    RNA5SP121 −0.159834272 0.852285025 0.28514785 −0.560531219 0.575117152
    RP11-121G22.3 0.54826177 1.730242842 0.289930617 1.891010254 0.058622975
    RP11-159H20.3 1.086933391 2.965167109 0.387286134 2.80653836 0.005007695
    RP11-755O11.2 −2.21597345 0.10904731 0.708352751 −3.128347348 0.001757923
    RP11-770G2.5 0.656284161 1.927616298 0.511472642 1.283126615 0.199447721
    RP11-923I11.3 0.012186678 1.012261238 0.387323413 0.031463831 0.974899637
    RP13-753N3.3 0.391755198 1.479575464 0.350940795 1.116299967 0.264293756
    RPL31P57 −0.723295796 0.485150661 0.142803819 −5.064961152 4.08484E-07
    SCIN −3.777998567 0.022868415 1.097206642 −3.443288093 0.000574687
    SESN3 0.677784496 1.969509438 0.24823972 2.730362794 0.006326466
    SETP14 0.630624885 1.878784237 0.289203892 2.180554631 0.029216374
    SLC22A3 −2.210758134 0.109617512 0.47027084 −4.701031715 2.5885E-06
    SMC4 5.768903761 320.1865391 0.88769243 6.498764174 8.09824E−11
    TIPARP −2.217536636 0.108876982 0.550632508 −4.027253394 5.64322E-05
    TMEM100 −2.882377174 0.056001479 1.005740682 −2.86592481 0.00415793
    TNFRSF19 −2.416480569 0.089235122 0.696215197 −3.470881677 0.000518753
    TOP2A 4.112985372 61.12893806 0.454912893 9.041259181 0
    TPX2 5.182498017 178.1272206 0.647974958 7.997991208 1.22125E-15
    TRIQK 1.167161854 3.212861116 0.384612581 3.034642943 0.002408206
    VBP1 0.783207999 2.188481664 0.471928306 1.659591065 0.096996747
    WFDC2 −1.140244348 0.319740884 0.746624189 −1.527199849 0.126711324
    XPO6 0.374919547 1.454874361 0.425155032 0.881841962 0.377862276
  • TABLE 7
    Target Sequences
    SEQ
    ID Affy
    NO. Gene Probeset ID Sequence
    1 MLLT11 2358694 TCGCCAGGCATTTCGGGGCAAAACGAAGCGGAGCCCCCCAAA
    CCCCCAGACCTAACCAAGTTCAGAGATTCGCAGAAGCACGCC
    CCCCACCCCAAATTTATTGTGCTCTACCCAAAATGGAATAGGA
    CTAGGTTTATTTACCCATTGTGAGGGTAGAGAGGCGAGTCTGG
    AGGAGCAGGGATTGGGAGAAGGGGTGGAAAAATACTCTGATT
    CTTAAAAATACTTTGTAACCTAAAGTCCTTAAATTGTGGAAGAA
    AGGAATACTCCTCCTTTCCATTGTAGTCTAGAGTTAAGATTTCA
    AATCCATAAATTAGAGGACCTAAAATTAGAGGGCAATTAACTG
    CTCATTCATTGGGCCCCCAGTCAGCACGGGGGTGCTGGAAGA
    GATCGGGAATAATAGCGCAGACCAATGAGCCTAGGGAGATGC
    TTTCATCGTCTCTCCTTCCCTCAAGTGTTCTGGAACCTATCATT
    TGAATTAGCCGAGTCAGGCAGGAGGGGGCGGGGAATCCTTC
    CGCCCTTCTTAGGAGGGGCTGCATTGCAGGGGGAGAGTGAA
    CTGACAGACTCAGTCACTGAAGAGGGAAAAGGAGTGAGAAGA
    CAAAGCCGTCAAAGCCCCAACAGCTTTGTATTTCTCCAGCCCG
    GCGCAGA
    2 MLLT11 2358695 GGGACCCTGTGAGTAGCCAGTACAGTTC
    3 MLLT11 2358696 AGAACTGGATCTGTCGGAGCTGGAAGGCCTGGGTCTGTCAGA
    TACAGCCACCTACAAGGTCAAAGACAGCAGCGTTGGCAAAAT
    GATCGGGCAAGCA
    4 MLLT11 2358697 GTGATGGCCTCCTTGAGTACAGCACCTTCAAC
    5 MLLT11 2358698 TGGAGAGCTCCCATTGCCAGCATCCA
    6 MLLT11 2358699 TCAAGCAATGGAGTACTGGGTCACAGGGATTCCTCCTTTCCCC
    CCCAAATATTAACTCCAGAAACTAGGCCTGACTGGGGACACCT
    GAGAGTAGTATAGTAGTGCAAAATGGAAGACTGATTTTTGACT
    CTATTATAATCAGCTTCAGAGATTCCTTAAACCTTCCTAATTTC
    CTGCTCCAGGGCAGTAAACACAAATATTTCTTCAAGGGGTGAT
    GAAAACCTCGGAAGTTTTAATTTGAGGTTATCTGCTACGAAAC
    AGTATTTCTAAAAGGCTAAAGTGATAAGTCTCTTGCTTTTTTTT
    GATCCTGCTCTTATATTCTTTTTTTTCCTCAGAGAAATCAGGAG
    GGTAGTTAGAGGTATAAAACAGGAGGAAATATTATGGAAAATG
    AAAATAGGGAAAATAATTGAATCATTTTAGAAGTAGCTAATTTC
    TTTTCTCAAAAGAGTGTCCCTTCTTCACACCTACTCACTTTACA
    ACTTTGCTCCTAACTGTGGGTTGAAAACTCTAGCTAAAGAAAG
    TTATCAAATCTTAACATGCATTCCTACTATTATGATAGTTTTTAA
    GGTTTCAATTCAATCTTCTGAACGGCATAAGTCCTATTTTA
    7 DEGS1 2382361 GGGAGCGCGCCCAGCATCGCTTGGGCCTCCTCCACCCGCTC
    AGGAGGGGAAACAGGAGAGCCGGGAGCACAACAGCCTCGCG
    CGCCCGCCGCCGCCTCAGCCTTAGGGGAGGCCACTACGCCT
    CTGGTTACATTTCTTG
    8 DEGS1 2382362 TAGTCAGGACAGGATAAACAGTCGCTATATTAAGACCATGTAC
    GTGTCCCTAGACCTAGTTCT
    9 DEGS1 2382363 TCCGCCCACGCCTCCGTCTCCTCCGCGCTCCGCCACAGCCG
    GCCGACACCACACCAGCCGGGGAGCCGCCG
    10 DEGS1 2382364 CTAGTCTGCAAGCCACCGCTGTCGCC
    11 DEGS1 2382365 GACTTCGAGTGGGTCTACACCGACCAGCCGCA
    12 DEGS1 2382366 GTGAGGGCCAGCGGGCGCCCCGTTAT
    13 DEGS1 2382367 GGGCCCTGCGCGGTCGTGGGCGCCGGAGGCCC
    14 DEGS1 2382368 CGGAGCCGCGCAGCTCCGACCCTTCCGCGAAGAGGCGCAGG
    CGCGTCCCCGAGCGCGGGAGTCCCCGCCAGGCCCACGCCG
    GCCGGTTGGGGCGAAGGGTGTCCCCGGCTGTGCCAGCCTTG
    AGTAGATCTTTTCGCTAGAAGATTCCTGTGCCCTCAGGTGGGC
    GCCCTTTCCTCTCACCACTCCCTCTCCTCCGGAGCGGGCC
    15 DEGS1 2382369 TTGGGGCTGCCTGAGTGCTAGGCAGGGTGTGGTCCTGGGCAT
    CCTTGGGCCTACCAGCGAGCCCT
    16 DEGS1 2382370 GGTCTCAGATGATGCGCCTGCCATGGCCTCCCAAAGTCCTGG
    GATTACAGGCGTGAGCCACCCTGCCAGGCCACATATGATATA
    TTTTATCAATGCCTTATCTACATGTTACATAGGAATAATCTAGC
    GTCCTACCTGTGTAAAAACCAACTCTGGAATACTGAAACTGAG
    CTACT
    17 DEGS1 2382371 TTGATGAAACCTGATCCCAATTTGATATGGATTAT
    18 DEGS1 2382372 TCTGGAAGTTATCAATACCGTGGCACAGGTCACTTTTGACATT
    TTAATTTATTACTTTTTGGGAATTAAATCCTTAGTCTACATGTTG
    GCAGCATCTTTACTTGGCCTGGGTTTG
    19 DEGS1 2382373 TGGCCAGGCTAGTATTTTGTCAGTCCAAGCAGTTCATTAAAAA
    AAAAAAAAACAAAAAGAGCAAGAATATAAATACTGCATCTTCCA
    GCCTACTTTTACAAAGGGTTCACTCTTGGGTCCTTAAGCTTAG
    TGGT
    20 DEGS1 2382374 CTGGAGTTTCCTGGATGGGTGCAGT
    21 DEGS1 2382375 GCTGAATACTATGACAACCTCCCTCACTACAATTCCTGGATAA
    AAGTACTGTATGATTTTGTGATGGATGATACAATAAGTCCCTAC
    TCAAGAATGAAGAGGCACCAAAA
    22 DEGS1 2382376 ATATCATTAGTGCCAAAGGGATTCTTCTC
    23 DEGS1 2382377 AAGAGCTCGGTGATACCAAGAAGTGAATCTGGCTTTTAAACAG
    TCAGCCTGACTCTGTACTGCTCAGTTTCACTCACAGGAAACTT
    GTGACTTGTGTATTATCGTCATTGAGGATGTTTCACTCATGTCT
    GTCATTTTATAAGCATATCATTTAAAAAGCTTCTAAAAAGCTATT
    TCGCCAGGCACGG
    24 DEGS1 2382378 AAGCTATTTCTAGTTTATTTCACTATAAAGTTTTGCTTTATTAAA
    AAGCTAATAAACAGCTATTAATCAC
    25 DEGS1 2382379 CTATATAATATGGTAACTTGGGTACCGGGGGAACTTTAAAATTT
    CATCTCAAAAATAATTTTTAAAAAGCCTGAGGTATGATATAGCA
    TAAAAGATTGAGATGAAAATATATTTCCCTGTAAGCTGAATTAC
    TCATTTAAAAATTTTAACTTCTATATGGGACCCGAATTA
    26 DEGS1 2382380 CTGCTGAATCCTGTACAGCCTTACTCATAAATAA
    27 FTH1P2 2384397 ACTTTGCCAAATACTTTCTTCACCAATCTCATGAGGAGAGGGA
    ACATGCTGAGAAACTG
    28 FTH1P2 2384398 GAAAAAAGTGTGAATCAGTCACTAC
    29 FTH1P2 2384399 TACCTGAATAAGCAGGTGAAAGCCATCAAAGAAT
    30 FTH1P2 2384400 TCTGGCTCGGCGGAATACCTCTTAGACAAGCA
    31 LPAR3 2420617 TTCACGGGCCACCTAGACTTTCCAGTCTAGGACTAGAGCTGTA
    GCAATGATCTGTTGTGCTGTACAAGAAAAGAGAAAGAGGTGTT
    CATTTGAGAACAGATGTTTTTATACATCAGAGTAAAAGCTGTAT
    TGAAGAGCAGGCTGAATCCCTTCCATATAGAATGAAATATGAG
    CTTGACCCCAGTCCTTATCTTCAGTTACCTCCATACCAACTGG
    TGGCATGTTGGATTTAGCATGTAGAATAATTTCCCATCTCTTAT
    TTTTCCCAAGGTTAATGGCATCCTTCTGGTACCTGGCTTACAT
    GTGAACTGAATTT
    32 LPAR3 2420618 TATATATATTCCTGTTTTTACTGATTTTTATTGATTTTGTTCAAA
    33 LPAR3 2420619 TTACCTGTCTCTAACAAAGCCCATGTACAGTGTTATTTGAGGTC
    TCCATTAATCACTGCTAGATTTCTTTAAAAAATTTTTTTTCATAG
    TTTAAAAGCATGGGCAGTAAAGAGAGGACCTGCTGCATTTAGA
    GAAAGCACAGAAACGGGAGAGGTTCGGCGGGTCCCTGCTTGT
    CCTATGAACTGCTCAGAGCTCCTGTCAGTCCAGCTGGGCCTT
    CTGGGTTCTGGCACCATTTCGTAGCCATTCTCTTT
    34 LPAR3 2420620 CAGTCTGCAATAAAAGCACTTCCTAA
    35 LPAR3 2420621 GGTTCTGCTCCTCGACGGCCTGAACTGCAGGCAGTGTGGCGT
    GCAGCATGTGAAAAGGTGGTTCCTGCTGCTGGCGCTGCTCAA
    CTCCGTCGTGAACCCCATCATCTACTCCTACAAGGACGAGGA
    CATGTATGGCACCATGAAGAAGATGATCTGCTGCTTCTCTCAG
    GAGAACCCAGAGAGGCGTCCCTCTCGCATCCCCTCCACAGTC
    CTCAGCAGGAGTGACACAGGCAGCCAGTACATAGAGGATA
    36 LPAR3 2420622 ATGGGAGAGCTCCAGTGGAGAAGGC
    37 LPAR3 2420623 ATGGTGGATCGGCAGTACAGCACTGTTAGCGCAG
    38 LPAR3 2420624 TCCATGCCAAATGTGATCTTGAACTTGA
    39 LPAR3 2420625 TCAGCGTCAGGGAAACCTGGCAGCAGTTAATGAGGCCTGGCC
    ATGGCTGTAGGCCAGGTTGGGAATCAGGAAGGGTAGATGCAT
    CCTC
    40 LPAR3 2420626 ACTGGGAGAACTAGTGAAGATGCTGAGGTGACACAGCAGACC
    CAGGTTGTTCTGGAGGCTCTACCTGAGTTTGCATGCAGCTTAG
    AAACTAAAACTGTGTCTTCTCAGTTGCATGGAGTGGACTCTCA
    GAAGGACATAGAGATTGTC
    41 LPAR3 2420627 GACTCCTTATCACCAGGCTCGAGCACTAGCAGGAGGGACACT
    GGTGCTACGTGGCAGAGACCTTCTTCCAGTTATCTTAGCAACT
    GGTGGATCCCAGGGACTCCCCTTAGAGTTTCTACATTATTGGG
    CTTTCAGAACTGGACTCACCAATGAGTCAGGGAGACAGTGTTC
    CTGCTCTCTATCTGTGCTGAGTCTGCCTATCTGGGCCCATGAC
    AAGGCTTATGATA
    42 LPAR3 2420628 ATGCAGGCCCAATTAAATAGGCCTGTGGCCAGTCTTCAGCCC
    ACAGCTGAACTGCCTCATCTGGCAAGAAAGAGCCCATGTAGG
    ATCTTGAGTGT
    43 LPAR3 2420629 TGTGGCGGAAAGATCCCATTACCTCAAAGAATCAATACTGTTG
    AGAGATTTGACCAAGTTCACTTTGTAAATTACTGCAGCATTGTG
    GCTGCAGCTCTGGACCTTCTAGTTCCTGCTTCTTCTAGTGGGT
    CCCAACTTCTTGC
    44 LPAR3 2420630 TTGTTTTCAGGGCAGGCCGTCAATCGGTGGGTGCAAAAATGC
    AGTTGCCACTCAGTTGCTGCCCCTACGCTGCTGTTTGACA
    45 LPAR3 2420631 GAAGGCAAAGTAGCAGTAAGCAACGAAACGATAGCTCAAGTT
    CTCATGCTAGGAGGAAATGGGTGA
    46 LPAR3 2420632 ATACAGCATGATAGAGACAAGGATTCCAAAATCCTAGGTGGAG
    AGAACAGGACCCTTTGTGAGACAGTCATGGTCACA
    47 LPAR3 2420633 CCTCATCATGGTTGTGGTGTACCTGCGGATCTACGTGTACGTC
    AAGAGGAAAACCAACGTCTTGTCTCCGCATACAAGTGGGTCC
    ATCAGCCGCCGGAGGACACCCATGAAGCTAATG
    48 LPAR3 2420634 ACACTGCTCATTTTGCTTGTCTGGGCCATCGCCATTTTTATGG
    GGGCGGTCCCCACACTGGGCTGGAATTGCCTCTGCAACATCT
    CTGCCTGCTCTTCCCTGGCCCCCATTTACAGCAGGAGTTACCT
    TGTTTTCTG
    49 LPAR3 2420635 TTCTAATTCTCTGGTCATCGCGGCAGTGATCAAAAACAGAAAA
    TTTCATTTCCCCTTCTACTACCTGTTGGCTAATTTAGCTGCTGC
    CGATTTCTTCGCTGGAATTGCCTATGTATTCCTGATGTTTAACA
    CAGGCCCAGTTTCAAAAACTTTGACTGTCAACCGCTGGTTTCT
    CCGTCAGGGGCTTCTGGACAGTAGCTTGACTGCTTCCCTCAC
    CAACTTGCTGGTTATCGCCGTGGAGAGGCACATGTCAATCATG
    AGGATGCGGGTCCATA
    50 LPAR3 2420636 ATGGACAATAAATTCTTAAGCAACAAAAGAAAATACTGGGTCA
    CAAGCAACTGGGTAGCTCTGATGGA
    51 LPAR3 2420637 AGGAACTAGTTATCCTGTGGAGATCTGGACGTCTAACTATTTG
    GACAACACTTACATTGATTGTCACTATCATATAACTAAGAAAAT
    AGGTCATTTTGGCAAAAATTTTTTCTTTGTCTTTAGAATTTGAAA
    CTTTGAGGTTTTGATTTAATTACATATGACACTCCTCTTGTCTA
    AACCTTTCAATTGCATTTATCAACTACCACTCTTTTTTTTTTTAT
    CAGATCAGACCTATTTTAGATATCTTGCTGTTCTGCAAGATATT
    TGTTAGAACAGGCCTGCATATGTTTTCTATGAATGGAGACTGA
    ATTTAAAACATTAAAGTATGAGATTGTTTTTCATGTGTGTTCAC
    CGGAATCTGTTTAAGAAACTACAGCATGTTAACTCTCCATCTCA
    TTTTTCAGAAACACACGTGCACAGTGGAAGAAATGCACACACA
    GCATTGTAGCCAGGC
    52 LPAR3 2420638 GGGCTCGGCGGCGCGGGTGAACGTGAGCG
    53 LPAR3 2420639 CTGGAGAGGAGGCGCTCCGCCCGCCCGCCGCGTCCTCCGCT
    GCTTCTCCGCGCCCGGCTGGAGCCCGGCGCCCGGTCGCCCC
    GTCGCGCTCGACCCCGAGGGCATGCGGCA
    54 FMO5 2433231 TTGGCAGTGCAATCAGCCTTTGCTAATGGGACTATTCCTTTTAA
    TCTGGTAGCTGCAGCTTCATACTCAGGAGCAAGTCTCTTG
    55 FMO5 2433233 GTCTGAGAAATTGTCCCGGAATAAAGGGGCCTAAGGAGACAT
    AACATCTAAATGTAATGTAGTATCCTGGATGGACTCCTGCAAC
    AGAAAAAGAACTTTAAGTAAAAATTAAGGGAATATTAATAAAGT
    ATGCATTTTGGTTAATAATGTATCAATATTGGTTTATTAGTTGTG
    ACAAATGTACCAGAGGAATGTAAAATGTCAACAATAAAGGAAA
    TTGGATGTGGGGTACATGAGAATGCTGTACTATTTTTGCAACT
    TTTCTTAAATCTAAAACTCTTATAAAATTTAAAAATAAAAAGAAA
    TGTGGAGTTATTATTATTATTTTTTGGCTCAGGATTTGACCCAG
    AGCTATGGTCTGGCAGA
    56 FMO5 2433234 CCAGTTTTTCTCATGTCGTAAAGTGTAGTTCTGAAAAACAGAG
    CAAATGAAATGCAAAGCAGGTACTTGGGTTTACATCCCAGTGC
    CACTGATGATTCTGTTTTCTCATCTGTGGAAGTTTCACTGTTCT
    TGTTTCATGGAGAAATTAACTAAGTGTCAGCTGTCAGGCACAC
    TGAACTCAGGTGATGTTCATTAATAGCTGTTGTACAATATGTTT
    GTATTTGGATTGCTGCTTATTACTTAACAACAGGATAAACCTGA
    ACAATGGAAAAGACCAACATTAGAGAGTATTATCTTTCCAAATA
    CACACACCTGTAAGAGAACTGGAAATGTGAGAACTACAACTTC
    TTCTTATTTAAACATTTGAACAATTGCCGGCCCTTTCACCGAAT
    TTACCTGTGGAATGCCTTTTGAGAGTTAGAGAACTGAGAACTG
    GTATTACTTTTCAGGTCTTTTGCTTTCCCTAATCCTTGTGATAC
    TGGAGATTTATCATCTATTAAAATGGACCTAGTATTTTTAAATCT
    GCATATCAAAAGCAAATTGAATGTCTCTTGCTTCCTTTTAATTT
    CTTTTAACATATAAATTTCTCTTTTAGCATGTAAATTTGTTGAAT
    TAACAGCCCTTTGATAATATAATTCCTAGTTATCAGCAATAAGT
    ACACCAGTTTCTTTTTTAAATTAGGAGTATGTAATTCTAAATTAA
    TTGATTCTCTCATTGTACATATTATATGCAAGGTTACAAAAAAA
    AATCAATGGTTAATGATTTTTTAGCTCAACCAAGCTAAAAGATG
    TGAACAAGAAATTGAACTCAAAACAACTTAAGATACAAAGCTCT
    TGTTACTGATAATGTCTAATAATATTCATCAATTTACCATATCTT
    GCTCTTATATTAAAATGTTCTATCATTTTCCTAATTATTTTAAAG
    TCGATTACAAAAATATATATATATTCTTGTAGTGCCAGAAAATT
    GAATACATTAATAAATGGGGTAGAATAGATGAATCTCCCATGA
    AGAAGAATTCCAAATAATTTATGAACTCTGCCCTCAAGGATATG
    GAGCAGAACTTCCTACTTCTCTAGTGTGAGCTGAATAGTGACT
    TCCTTCCAAAAATTACATATGGAAAGGGGGAAAATAACTTTGTA
    GTGGAGAAATCTGATAAACACTATCTCGGCTAGGTTATCAAGA
    57 FMO5 2433235 TCCTTGTGGTAATCCCTAGACTGGGAGCTCAGGTACTCTTTTA
    GTCATCTTTGTATGTCTTTAGCAGAGTTCTTGACATGTGGTAG
    GTGCTTAATAAATGTTTGTTGTTTATCAAATTTTATGGTAGGGA
    GAGTAAGTCAGCATCGGTATAAAATCGCTTACTCCACGTAACT
    CTTCTTCTGATAGGG
    58 FMO5 2433236 TCTTTGCTATAATTATAGCTTACTTCTAG
    59 FMO5 2433237 GTAGTTCTATGACTTCAACAATGACAATAG
    60 FMO5 2433238 GCCAACGCCATACCATTCAGGGAGACTACATAGATACCATGG
    AAGAGCTTGCTGATTTGGTGGGGGTCAGGCCCAATCTGCTGT
    CTCTGGCCTTCACTGACCCCAAGCTGGCATTACACTTATTACT
    GGGACCCTGCACTCCAATCCACTATCGTGTACAGGGCCCTGG
    AAAGTGGGATGGGGCTCGAAAAGCTATCCTCA
    61 FMO5 2433239 GATGGCAGAAATATCTAAAGCTCAAGAGGAAATTG
    62 FMO5 2433240 GTCTAAAGACATTGCCCTCACAGAGTGA
    63 FMO5 2433241 TTCACGGAGACAGCTGCCATATTTGAGGATGGCTCCAGGGAG
    GATGACATTGATGCTGTTATCTTTGCCACAGGCTATAGCTTTG
    ACTTTCCGTTTCTGGAAGATTCCGTCAAAGTGGTCAAAAACAA
    GATATCCCTGTATAAAAAGGTCTTCCCTCCTAACCTGGAAAGG
    CCAACTCTTGCAATCATAGGCTTGATTCAGCCCTTAGGAGCCA
    TTATGCCCATT
    64 FMO5 2433242 AAACTATTGACCTGTGGCCTTATCATATCACACACAGAATATTA
    TTGTTACTTGAGAAATCATATATGCACTCCTCAAACAACACTCT
    TCCTTCACTCCTCCAACACTCTCCCTTTCAGTGCATCCAGGGT
    CCAACTTCAGATCTGATCTTGATCTGTGCCAACCTAGTATAAAT
    TAGACCTTTTCCAAACTTCATGCATAGACCAAGGGGAAGATTA
    65 FMO5 2433243 TGGGAGTGCAGGGATAGTGGCCAAAGCACAAGAATAAGGACT
    CTTCACACTGGCTAATAGTAAAGCCACCTCTACCCATACATTA
    AGAA
    66 FMO5 2433244 TCGTGTAGGGGACTACGGATATCCTGCTGATGTGTTGTTCTCT
    TCTCGACTTACACATTTTATATGGAAGATCTGTGGCCAATCATT
    A
    67 FMO5 2433245 TTCAAAGGGCAGTACTTCCACAGTCGAGACTATAAGAACCCAG
    AGGGATTCACTGGAAAGAGAGTCATTATAATTGGCATTGGGAA
    TTCTGGAGGGGATCTGGCTGTAGAGATTAGCCAAACAGCCAA
    GC
    68 FMO5 2433246 ATGAATGTCTTTGATGGAGTCATGGTTTGCACTGGCCATCACA
    CCAATGCTCATCTACCTCTGGA
    69 FMO5 2433247 AAGGTCTCAGGACATATAGGGGTCAGGAGAAGAATAGGCATT
    TAGTGCATGGAGTGTCATAAAAGCACAGGAGAAGCCCAGGCT
    TTACTCAGGTGTTACAGTGCCTTAGGACCTGGACCAAGAGAC
    CTAGTGACTTGCACTTTTCTAGAAGAGGAGGGTACATTAGCCT
    GCCAACACTATGTTATTTTTTTCTGTCTTGTGGAAATTTTCTCAT
    TCTGACTACAGCCCCAAACAGTTCTTATTTGTGGAGTATGAAA
    ATCAAATATCCCTGCATGGGTCCTATTATGTGATA
    70 FMO5 2433248 GAAAAGGAGCCCTATAGCTCAGTCACTTAT
    71 FMO5 2433249 TGGGCCCGTAGAAGCACATAGTGTTTCCTTAACCTAAGTAGGG
    TAACCCATATTTATTATTTTTTATAAAGCTAAAAATCATAACACT
    ATCCTGTTTCACAGCCTCTTTCTTTATAGTTCTTTGTAAAATGG
    GTATTTATGGGAGCCAAAGGGAGATTCATTTATATAAAATGAG
    AGCCACTGAGGTGTTTTTCTACCCTA
    72 FMO5 2433250 TGCACATGTATTTATCCTACCCAGGCAAAAACTCCATTCTTTGT
    CCTCCTTTGCTCCTCAAAAATATTCAAGGGACAGTCTCTCTTTC
    ATATATTTTGGCTGCAGATACAGGAAGCCACCTGGCAGAGTGT
    TTTCATTACCTTCATTTCACATTATTTGATTGCAATAAACAGATG
    AAGGGAAATGTTTTCCCCATTACAGAAGGGAACTGATAGGTAT
    GGGAACTTTAAAACTCTCTGGTTCCACAACTTGTCCATTACTG
    CTTAGCCCTTTTGTACTTTCTGAAGTACTTTCCAATATATTTGTT
    TACATGAACATCATAAAAACCCAGTAAAGTATAGCTCTTGGGT
    AGTTAACTCTGGTGTAGAGGGGAGAACATGGAATTGCAGAATA
    AAAACCTGAATTCTGGTGCTTGCCCTACCACTAACTAACTTAG
    ATGTTAGACAAGCAATTTCCTCAATTTCAATTTTTAAAAATTTTC
    TTGTTTGTAAAACAAGATGATTGTACCAGATCACTTCTGTGGTT
    CCTTCCTGCTCTAAAGTATTCTAGGACTTTTCTATAATTTCTGA
    TCACGACCATAAAAGAATTTTATGGTCAGATATTTCTGACAGCT
    GGCAAAAAGCCCAAACCTTCTGCCTTCTGATCATCCTGCTAAG
    73 FMO5 2433251 AATTGTGTGGGTATCTTTGTGTTTGAAGTTGTTTGCCAA
    74 FMO5 2433252 AGGAAGGGCCAGTATTTACAAATCAGTGATCATCAATACTTCT
    AAAGAGATGATGTGCTTCAGTGACTATCCAATCCCAGATCATT
    ATCCCAACTTCATGCATAATGCCCAGGTCCTGGAGTATTTCAG
    GATGTATGCCAAAGAATTTGACCTTCTAAAGTATATTCGATTTA
    75 FMO5 2433253 GAGCGGGCTCTCTTCCATCAAGTGCTGCGTAGAAGAAGGCTT
    GGAACCTGTCTGCTTTGAAAGGACTGATGACATCGGAG
    76 FMO5 2433254 GCGACACTAACAGGTGAAGATCTCGGGAGACC
    77 FMO5 2433255 TGAGATCCGGTACCGCAGCAGAGCACTCTCAGCTCTGGGTCT
    TGCAGGCGCAGGGCTCCCCCATGCCAGCAGAAAGATTTCCTC
    TGGTGAAGAGGACCGTCGAATCTGTCCTCCTCAAGACACCTCT
    TGTACAGAATTTATTCGAATGCCACGGCCAAGGTCTTCCTTGA
    AA
    78 FMO5 2433256 AGCCCACGTTTTATTCCCATCGAGGGAGGGAGAATGGGTGCC
    GCTGAGTGGGCGGGGGAGTGGTCCCTGAAAGGAGGTGGAGT
    GCTACAGCCCCTCCCCGTTGGCTCTCGCTGTTTGTCCGTTGTT
    GGTTTATACTAATTTGACAACAGCCGCCTGTTGAGTCTCCTCC
    AGATCGCAGCTGAAGGATCTGTTGAGCGCTTCAGGAAAGGC
    79 FMO5 2433257 TCCGCCCACGGCAGGAGCGAAGGAAGGCCCTGGCGCGGGC
    GGGTAAACTGCCCACCGGGCGGCCCACCCGCTGCGCCCCCG
    GCCCGCAAGAGGCAGTCCCAATAGGTTGGCCCGCCTGGCCG
    AAGTCCGCCCGGAGCCCGCTCACCTGTCAGCC
    80 FMO5 2433259 CTGTCCTTGGTGTATAATTCCTACAACTGGAACTGTTTGTGCAT
    CTTACTTAAATTTATCAGTTAATATTAGGTATTATGAGTTCCCCT
    TGGCCTTAACCCCTACTCTTATCAAAGAAACATGTTTAGAAAAT
    GAAGCTTATCTTCCACAGGACTTTAGGCATAAAATGTGATTA
    81 FMO5 2433261 GCTGGTGAAAAGGAGTAGGTTTGGA
    82 FMO5 2433263 GTAGTAGTATTCTAAGAATCGCGTGATGTTTTCTTA
    83 FMO5 2433264 AATGTTGGATTAGATACTGAGGCTGTAGTCCCTGCTGTAACGG
    ACATGTTGGAAGCTGGTGTTCTAGATACTTACCTGGGAAAACA
    CTGGTCTATCAAACTCGCTGCTAATGCTGCAGTCACTGTACTT
    AGAGTGGGTCAGGTAATC
    84 FMO5 2433265 GAAGTAATCTCTAAACTTTATGCAG
    85 FMO5 2433266 ACTGGCAGAAATACTCTGGAGAAAACTCTGG
    86 FMO5 2433267 AGAAGTTTGCTGAGGCGTTTGAAGCTATTCCC
    87 FMO5 2433268 ATATGATGTTAGTGAAGCTAAACTCAAAATGGGATGTCTGAAG
    ACTCTGTAAAACAGT
    88 FMO5 2433269 AAATAGCAGTGTACTCTTGTCCTTTTGATGGCATGATAACAGA
    AACTAAG
    89 FMO5 2433271 GAGATACTCAGGTGGTGGTTTTTAAGCATGAAAAGGAAGATGG
    CATCATTTCTACCATAGTACTTCAGGGCTCTACAGACAATCTGA
    TGGATGACATAGAAAGGGCAGTAGATGATGGTGTTAATACTTT
    CAAAGTTCTTACAAGGGATAAACGTCTTGTACCCGGAGGTGGA
    GCAACAGAAATTGAATTAGCCAAACAGATCACATCA
    90 FMO5 2433273 AATGAAGTATTTCTGGCCAAGCTTATTGTTCAGGCATGCGTAT
    CTATTTTTCCTGATTCTGGCCATTTCAAAGTTGATAACATCAGA
    GTTTGTAAAATTCT
    91 FMO5 2433275 GTACAGCATATGGACGAAATGGAATGA
    92 FMO5 2433277 AATTCTCTCTTTGACATGGGCTTTCTTTTTAAGAACCCAAGGCA
    TTGTTTTGTAGAGAGTCTCTAAATTTAGACTTGCATAATTTTTTT
    CCTTTATTATATTCAGGTTAAATGTTTTTGACACATATACTACAT
    AGGACATGTTGATCTTAGTGGGTCACATCAAGAACCACATTAT
    GTCAGTTTATCTCACAGTAATAATGCTAAATTTGACCACTTAGA
    TAAGGTGGTATAGATACCATCAAGTTTCTCCACTATAAAGATAT
    TTTTTCCCGTTGAAGTTAATCAGTGGGGTGA
    93 FMO5 2433279 CACAGTGAGGAGGTCTATGCAAACCTACCCCAAAGGCTGAGG
    AAGCTGAGAGGCTGAAGAAAGAAGCTGACAGATTCAGTTTCTT
    AGAAACATTTCATAGGGACTTATGAACAGAAGCCATGTCTGTC
    TCAGGCAGTGGTGAGACAAGATGGTAGATCCCCATACCATTAT
    CTCCTGACCCAGGGATGATATACCACAGGGGAGGGGCACACA
    TACTTCAGAGCGAATGGGTAGGAGTTTGCCCTAAGGGTGGGA
    TTTACAGTAAGTACATACTATTAAACAACAGATTAACTGGAAAT
    CTCAGAGGTATTCCCGAAACCAGGGTTGATCAGAAGTCA
    94 FMO5 2433281 CAGTTCTTTTTGCATGATACCCAACAACAAA
    95 FMO5 2433283 GGACCCATGGCGAGAGCCATCTTTAATATCATTGGCTTGTCAA
    ATGGGCAGTTCTAAGGGAGCTTGGCCTTACCTGCTCTGGGGA
    ATTGCAGGTTGCCACATAACA
    96 FMO5 2433285 CCCAACAGAGAATAGGGATACCTGCACATAGCCCTTCAGTGC
    CAGTGGCAAATATAGGGCTTCGTTTCATTACCTCAGTTGGCAA
    CATGGTGATTGGTGCTAATA
    97 FMO5 2433287 TTCATTCTAGTATATAAAAAAGCAAATGACTGGGTGCAATGGC
    T
    98 FMO5 2433289 CCAGGTATGCTGTAGAATATCCCTCAGTTGGGATTTATCTTATT
    TTTTTCTCATGGTTAAATTGGGGTTATGACTTTTGGGGAGGAAT
    ATTATAAGGTGCCATTCTCCTCACCTCCCATCAAGGGTACATA
    CTATCCACATTATACCCACTGTTTTTTTTTTTTTTTTTGGAAACT
    TAAAACTCATTTTATGTTATTATAAGTAAGAAATTAGCATTCAAT
    ATATGCCACAATATATCTTTGTTGAAGTGTAAGTTTGTTCCACT
    TTTCTATTTTTCATTTTCCAACTTTTATTTTAGGTTCGGGGGTAC
    ATATGAAAGTTTGTTACAAGGATAAATTGTATGGGGCTGGTAT
    AACTGCTAGCCATATGCAGAAGATTGACACTGGATCCCTTCCT
    TTTGCCATATATG
    99 FMO5 2433291 AGCTCGATGGGATCCGCATCGTGTGCAATCACCACCAGCTGA
    GTCTTCTTGTTCTCCACCAAGGTGGTGATTGTGTTAACCCCTG
    CTGGAAAGACGGGTGGTGTCTCGATGGGGGTATCCCCTTTGC
    TAGCAGCTTTCTTCTCAGTCCAGGACAACAGTCTCTGCTTCTT
    CTCTTGTTTTGTCTCTGGTCTGTGCTTGTGGGCCCGCGTAAGC
    AGTCAGTAGCTGTT
    100 FMO5 2433293 CGTCTGATTGCCTGAACTGCCCGTCAAGGAGGTGGCATGTGT
    TCATCATTCATTTATTATTTAATCAACATCGACTATCATGTGTCA
    GACACTCCGCTGGGCCCTGGGGGTTCTAGAAGTAAGACTTGT
    TCCGTGCCCTCCAGTGATTCACGATAAGATCAAACTGTTCTTG
    TTCGGTTTACCTAGTGATAAATTGATTTAGTCCCTGAAATCCCT
    TTCTTACTGCCTGTGACCTGTAGGCCAAAATTGGGAACCTCTG
    AATAGTAGTAAATTAAAATCACCAAAGACGTCATTGTGGCAGT
    GGGTATCTC
    101 LPGAT1 2454486 GACCACTGGGTCTTGGGAATCAGTAGGGGCTGTATCCAGCAC
    ACCACTGCCCCATCCTTTTTTTCTTAACTATTAGTGTTGAATAA
    ACTTCTCATAGTTAATCTACTTGCTGAACTCAGGAAATTCCTAT
    CACTGACCCTGGCCAGGGCTTTAAAGGGTAGGAAAAGCATTA
    ATGTCAGTCCTACACAGCGAACTTTTGATTTAGAAGAATGTGA
    CAGAAAGAAAACATTTACTGAAATACATGGGAAGCTTGCATAT
    TTCTAAAGTTGTCTTTATACTTTTCATTTCTCAAAGCTAAGTAAA
    CTGTGGTATAGGCATCTCTAAGATGTTAGCATTTAAAACATCAA
    TTGTTTTATTGATGTTTAAACAATTGTTTAAATCCCACTGAAAAA
    TTTAAATATTAAAATATCTTGCACAGTCTACCAAATGAGTTAAAT
    CGTTACAGTCGTGTCTACCTCTTATTTTTCTATCTGTATTTAGG
    CTGCTGTTTTGGTGAGATTCTAATTTCTTTTTCCCCTGGAACTA
    CTTTCTGTGGAAGACAAGGAACAGACTGGGGACAGAGGCCTG
    AAAACAAATTGGAAGCACTCAGAGATCTATTGCTGACCAGCCC
    TATTCCTCATGAGTTG
    102 LPGAT1 2454487 CTCCAGGGTGACAAATGCCAATAGATATGTGAGTTAATTTTTTT
    AAATATCTCCGTGAGTTGTAAATAGATGTGTATTTGATCTGCCC
    TATCCTTCTTTGATTCTTTAACATGTTCTCTCTCTTCTGTTTGCA
    AAATATGTTTGAAAGCATTGGTAGTGCTTTCCTTATCAGTAACT
    GGAGTTCTCCTGCTTGCACTAGAGAAGGTAAAGAGAGAATCA
    GTATTCTTATATGGCAATCTGGGGAAGCAGCAATATGCCACTG
    TACAAAACTGAAGAAAAGTTCCTAATTTGTACTTTGTGAAGGGA
    GATGAAAGGACGTTTAAAGTATATATATTTTGTCAAGAGGAAA
    GAAGATAAAACTATGCCAGTTTTATATCAATAGCTTGTAGAAGC
    TCAGCTCTTCTTGGTCTTGGCTAGACTGCCTAGATTCCCACAG
    CAGACAAGGTTGAGAATCCATTGCTGGAATCTTGGTATTGATG
    AGTTACAGTGATGGAACATGTGCTTGGCCACAGGCAGGTCCA
    GTCACTGCAAAAGTGACCAAGCCAGCAGGTCACCCTTAACTTC
    AGAAACAATTATTGGTGGTGAACTGTACTTAAATTGCAGAGAA
    ACCTGTAAGTAATGGAAGGTAAAGAAAAATTACAGAATGGAAA
    ATAATATTTTGGGCAAGCAAACAAATTCACTGAGAATTCCAAAA
    GTATATTAAAAAAGAAGATAGCTATGAGTTCAGATCTATCTTAT
    TGGTCTTTAATATTACAACCAATCCTTAACTTTCCACTATAAAG
    GAAGGATTACTAGATTGATTACTTTCTGGATAGATAATCTGGTA
    ATAAATGATAGGTAAATCAAAAATTACTTTTATTTAGGAGTTTG
    AATTCTTACTCTCATCAGACATTTTTTTTCTAGGGACGCTTACT
    AATTAAATGATTTAAGTTGTTTCTTAGGGGTTTTTTGCCTATATA
    TTTATGACTGTGTTAATGAGTAGTGAAATGATGCGGAAAGACA
    GCTATCAGGAAGAGGAAATACAGAAGCCTGAATAATCTATGGG
    TTAGAAAAGCATCCCTGAATAATCAAAAATTGGCAGTATTGGC
    ATTGTTCTCAAGCCTTTTTATGAAAATGAAATCTGAAATCACCA
    AATGTAAACCTGGGAACATTATTCTAGTGTTGCTGTCTTGGATT
    CATGTTAAGAAGCGTCTTCATTCTTTGCTCATGTTGCCCACTTC
    TTGTGGATTTGTCTGAGTGTTTTTTGACAATCACTTCCTTAAAG
    ACTCTTCTGAACTAGTTGGACCTGGTTAATC
    103 LPGAT1 2454488 GGTCACCGTAGGAGTTCAGACTTTCTTTCATAAGTGTGCATTA
    TTTTACATGTGCAAATCAGAATATATTTAAAAAAAAGCAAAAGA
    AATTCAATGGATGGATTAATATTTATCCCCCTTTGGGATATTTT
    AAAATCTACTAAAATGAGGATTAGTAATATAATGACCTGCTAAT
    ATATTTTAAGAACATGTTTTAAAAAGATACACTCTATCACATATT
    TAAGCAAACATCACATTTGGAGAAGAGGAAATCATAAAATCAT
    CCTAGAAGACTATCTGAGAGAAATTCTGTTGCCACCAGTTATA
    CTTGACAATTTAGTTGAAGCTCAGAAAGTTATATTCATCCCTCT
    TAGCTGTAGTCTATATTAGGGCAGTTCTCTAGAACGCCCACAT
    TTCCACCAACTCAGTAAACTTGAGGGGAGCTGGTTGGCACCT
    CGTGAAGAACTCTTTCCCTGTCGTTTGCAGTAACAAACTCCAG
    TCTGTTGCAGTAACAAACTCCAGTCTGTTGCAGTAACAAACTC
    TAGAATATTGACATTCTCTGTGGGGGAAAAGCAGTGTCCACTG
    GACCCCTTCTGGTACTGGATGTGTTCTTTACAAAGGCTAGCTC
    AGTCCAACACTGTGTTTACATACACTCGTGCTTTTCCTTATCTG
    ACTTCTCATTTTGTATCAGAGGCATATCATAAATTGATAATTTTG
    CAAAATGCACTTTTTTGAGATGCAGATATAGCAAAGGATTAGTA
    ATATAGCCTGAAAACAAATGGGAGCATAGCAGTGTGTGAGGTT
    CTCGAGAACTGTCTTGTCTCTGTGTGTTTATTTGCCTGCCAGT
    GCTCTCCAGCGCCATCCTGCCCTGGACACCACCCTGACGTGA
    TGCCTCTATTGCAGCTCAGAGGCTTTATTTTTTCCATTTTGACA
    TTGGCACTAAATGCATTTGGGGATGGTTAAAACAAATTACTATA
    GAACATTTAAATGATCAGTTTAAGGGGAAATAGGCTAGTTTATA
    GAAAAATAAGAGCTAGTGGCTTATAATGGTGACAGGTTCTCAT
    GTGGCACCCCTAGGACCTGTGCAGACAGTAGTCTGTTGAATC
    ATTACATCAAGGAGCTGCCCCTGTCAGGGTGAGTGTAATTAG
    GAACGATACCAGCACATAAGGCTCCCCCCAATCTCTTCCAGTT
    GCTTTTTCTTTTTTCTTTTTTTTTTAGACAGGTCTTACTCTGTCA
    CCCAGGCTGTAGTGCAGTGGCATAATCTCAGCTCACTGCAGT
    CTCTGCCTCCCGGGTTCGAGCGATTCTCCTGCCTCAGCCTCC
    CGAGTAGCTGGGACTACAGGCACCCACCATCATGCTTGGCTA
    ATTTTTGTATTTTTAGTAGAGATGGGGTTTCACCATGTTGGCCA
    GGCTGGCCTCGAACTCCTGACCTCAGGTGATCTGCCCACCTC
    GGCTTCCTAAAGTGCTGGGATTGCAGGCGTGAGCCACCACGC
    CCGGCCTCCAGTTGCTTTTGAAGAGGGTAAAGTCAAGTTTCTA
    TTTCTAGAAAACATTTTTTAGAAATTTGTTGCGATGTTTGTACAA
    TTTACCTCATAAGAGAACCACACCCTTCTCCAAAAGTGCTGGT
    ACTGCATCAGTGAGATGAGTAGGGTTTTTGTTTGGGATTGTAA
    GACTATTAAGATCCTAGTAAGTCAGTGGTAGTTTACTGTGATGT
    GAGCATTGTAGATTCCCCCGTTGTCACTAATCACACAACAATTT
    TGAGAAGTAGGCTATAAAACAAAAAAAGGTTGCTGTTTTCTATT
    TTTAAATAAACCAAAAAAAAACAGAAAAGATGTGAATTTTCCCC
    AGTTATGTGGGAAAGGTAAAGCAACACCAAATAAAAGCCCACA
    GCAGCTTCATCTTTACGATAACTCAGTGCATATGTGAAAGAGA
    ATGATGCATTAACTGAAATACCTCATTGAATATTATACTACTAC
    TGGTAAAATGCAGAAGACAGTGTTAATGTGTTTGGTTTGGGGA
    CTGGTTGTTATAAAATGCAATTTTTTTTTAAATCTAAGCATTTCA
    TTATGTGTTCTACAGTGTCGGTGAATAAATGAAACCAATCTCAA
    TTTAGAGGTATGGATGATGACAGAAAGCCCAATAGAAGCTTAA
    TGATGCTTCTGTTTGAGGCCCAGCAAGCACCACTAAATTACTG
    GATGAAATGAAATTGTTCACTTGAGGGATTAGTCAACCATCTG
    GGGGAGAAGTTGCTCACTGTCAAATACAGCATGCACGGTCCT
    AGCTGATAGACCTTTTCCTCATTGCTACAGCAAGCCACAGGGT
    AGAGTGACCAGTTCTCCTATCCAAAAATAAATGCGAACATGCA
    TACATAAATGTGGCTGAGGGCCACTTTTGCCATCACTGTGC
    104 LPGAT1 2454489 GTACAACATCATTCAGTATTTTTACCATTGCCTGTTTT
    105 LPGAT1 2454490 GACCCTCAGCAACTTGTGGATATTTCTCATACAGTCTTTTGCAT
    TTTTGTCAGGCTATATGTG
    106 LPGAT1 2454491 TTCCAATTAAAGATGTACCCCTGGAGACTGATGACCTTACCAC
    TTGGCTCTATCAG
    107 LPGAT1 2454492 CTAATGGACCTGAACTCTTGAAAGATAAAGACTAAAGCAAACA
    CAAGAAGGTGACATGGAGGACCAGACTATACAGGGCAAGGTC
    TGCTTCTAGAATTCCTAATAGTACATGGGGGTTCATTAACCTTT
    TTCTCTCCTCTTGTGAATGTTTAAAAATTTCCATTATAATTTAAA
    AAACTTATTATAAACATAAGATATTGTAGCAATAATACAATAATA
    GCATACTATAAAAAAGACTGAGAACAATAGGAGCTCTTTA
    108 LPGAT1 2454493 CAAGGTCACGCAACTGGCAAGTGGTAGAGTCAGGATTCAACC
    CCAGGCAGTCTGCCCAATAGCTTTTTTTTTTTTTGAGACAGAAT
    TTTACTCTTGTTGCCCAGGCTGGAGTACAGTGGTACGATCTCG
    GCTCACTGCAACCTCCGCCTTCCAGTTTCAAGCTATTCTGCCT
    CAGCCTCCCGAGTAGCTAGGATTACAGGCACCTGCCACCACA
    TCTGGCTAATTTTTGTATTTTTAGTAGAGACGAGGTTTCACCAT
    GTTGGCCAGGCTGGTCTCGAGCTCCTGACCTCGTGATCTGCC
    CACCTCAGCCTCCCAAAGTCCTGGGATTACAGGTGTGAGCCA
    CCGCACCTGGCGTGATAGTTTGTATGCTTAATCACTAGGCCAC
    ACTG
    109 LPGAT1 2454494 GAGGAGATGTAAGCCTAGCATTATATG
    110 LPGAT1 2454495 GGCCCTAATTGGTTATGAGCCCATTGCTACACCCCAATACTTG
    TCATGAAGAGAATGATATATGATGACAGGTCTGACATGGGTTT
    TTAATGAGAAGGGTGCCAAGACTACCAGAATTGGCTGAGTGAT
    AATAGATTGGCAGACATTTGCTTGGGATAAATTTATTTTGTTTT
    TTAAAGAAAAGCTAGATAATCCTTTCCCTTGGTGAGAGGATTC
    CTGC
    111 LPGAT1 2454496 TGTTTGTCAGCTCACATTTTGGAGTCTTGACGTAAAAATTCAAA
    TGCTCCAACTCCAGTATAGGGGGTGCCAGCTGCTAAGTATTAT
    TTTACATTTTTTTTGAAAGTGTAATTTCATCTAGTGCTTTTAAAT
    CTGACTATGGATTTTGGTAGTATATTCTCTATTTAAGAGCACAT
    TCTGAATTACTGATAATAAGAATGTTCATTTCTTGAAAATTAGG
    AGCTAGTTTTTCATTTGGGTAGCTATTGGTATTGTAAAGGTTTA
    TTTCTGGTGTATATGTATTTACTTATTTAAATCCCACAAGCACT
    CCTCTGATTTGATTTCAAGAGGACTGGTATTCAATGTATTTAAT
    CCTTTGCCATATTAGGGGATTAGTCATTTTAATATTTTAATCCTA
    TGGTGACCAATCAGAGTAATA
    112 LPGAT1 2454497 GCCTTTTAGCCTTACTATGTTTCCATGTGAAAGACCTCAACCC
    GTGGCAACTACCAAGGACA
    113 LPGAT1 2454498 ACAGCAAATCAAAAGGCCTCCAGTGGATAATAGATACAACGAT
    AGCTTATCCCAAAGCTGAACCTATAGATATTCA
    114 LPGAT1 2454499 CAGAGATCGAAAATGGATTGTTTTGTTTCCAGAAGGGGGCTTC
    CTCAGGAAGAGGCGAGAAACAAGTCAGGCATTTGCCAAGAAA
    AATAACTTGCCATTTCTTACAAATGTTACTCTGCCAAGGTCTGG
    GGCAACAAAA
    115 LPGAT1 2454500 TCTTGAGAACTTAATAGCTATCTTAATCATAATCAGTTCACTTC
    AGCAAACTGACTAACAAAATGTCTTACATGTTTTGCATTTGGGA
    TACATTTGATCTAAAGACTGAAAGCATACTAATTATTTTGAGGA
    GTTTCTGTAATTTTGTTGGCTG
    116 LPGAT1 2454501 GAGAAGGCAGCGGAACCAACAATTAGAAAGCTTAGCAGTCTC
    AGGGATCCGAAAAGCTAGCTGAGCACCTTACCTCATTTCCAGC
    TTTAGGAAATAATTGAATTTACAGTGTAGTGTAACAGTTGATTC
    TAATGATGATCATCAGGCATCAAGAAGAGGGGC
    117 LPGAT1 2454502 GATGTGGTTGATGGATCATATTTTT
    118 LPGAT1 2454503 TTCTCTATGCTGATAGGCAGTCTGCACTAAGTTGAGCATAAAT
    ATGGTGACCTCCTGGGAGCAGTGAACAACTAGGTCACACAAG
    AAGGGTGAACC
    119 LPGAT1 2454504 CGAGGCCATCCAGGACAACAGGGTGAA
    120 LPGAT1 2454505 GCAACAGGAGATGTGTGCACACTGAT
    121 LPGAT1 2454506 ACACAGTAGGCATAGGGCTCTTTTAGTTACTAGTGATTCCAAA
    AGTGACTTTAATCCCATTACTCAGGATCTCTATGGTACTGTCAA
    TTAGATCTTCCTCATTTTTGCAACATGTTTACGTAGCATTAATG
    ATATTATTGTTTCATAAGTGAGAAAATGAAGACACAGAAGGATA
    AAATAGTTTGTTGCATCAGCTTGCGGGCATAATAAGCAACCTT
    TCTTCTCTCTGTTAATTCTGTTTTGTAGGCCAGTATAATGGCTT
    TAGTGTCACTGTTGTTAAGGAGTTTTTGATGGGTTGTTTCTATT
    TTCTTTTTGAGATGTGAACTGTCCAGATTAATTCTAATCTATAA
    CTTTTGGGAAAAGTATATTGATATACATGTTAGAATGTGTGTGT
    GTATGTGTGTGTGTTGTGTGTATGTAGTAGATGATAACCTTTAG
    CTTTGGTTTTCAATAAGAATTTTAAAATTTATTACAATTAGAAAA
    TTTTTCCTCCAGTTTTTATTCAGTTGTCCTTTTTCCCTTTGGAAA
    TAGTGGACCTGACCCAATTCTTTTTTGAGAATTCATTTCATAGA
    GCAGCGTGTTAGAATATTTTTGTTCTTCTAATCAAGTGCAGTGT
    AAGAACTGTAGACATCCATAATTTCTTTTCTATCCCTTGGTTAA
    GATATTAGCTTTATTACTATATTTACTGGTCCTGGAATAGCAAG
    GCATAATCTGAGGAGCATAGCTACTTCATCTGTGTAATAAATT
    GCTCTTTCACTACAAACATTTTAATACTGATTTTGTTGGTCATTT
    AACTTTCTAATAGTGGTCCTTAAATTATGCTCTAAAAGAAGAAT
    ACCATATATATTGGAAATTAAATTTGTTGTTGAATAAAATTAGAA
    TTATTATAAAATTCAACACGACCTTATTGCTACCTCAGGA
    122 LPGAT1 2454507 CCTACTTCCTAACTATGTAAGTTTGAAAACAGTGCTTAACCTTT
    TGTGCCTCATTTTCCTCATTTGCATATTGGGGATGATACTATCT
    GCATATTTGGAATTTTGTGAAGATTAAATCAGAAAATAATGTAA
    ATTATTTTCTATTACTAAGTACTAGTGCATGGCACATAATAAAC
    ATTCCATAAATGTTAGCTATTAAGATTATTATTTATATATCTATTT
    AATAATATCTGCTACTATTATTATTTTAGTTATGTAACCCCTCCA
    AAAGCTACCTCTTGAGCCTTGCTTTCTCAAATTTTAACCTCTTA
    AAATTTAAGAGTCAAAGGGACACTGACCATGATTTCCTAGTGT
    GTACAATG
    123 LPGAT1 2454508 CCTTGTTTCAAGCTGGAAGTGGGGATAACATAGAGCCCTTCAC
    ACATCTGCTTTTCTCATCCCCTTCAACTGTCTGTTCTTGTTTTA
    AGAGTGAGAGATTAAAATGTTGATTTGTAGCCAAGCAAGTGGC
    TGTGGCTTATCAACATTGAGCCTCACTGTAGGGTAATCTTATT
    GGAATATTTCACTGGGGAACCCCAAATGTCAGTATTTTTAGGT
    CTTTCCTCTTGAGGTGATCAAATTCCCTA
    124 LPGAT1 2454509 GGTGAAGTGTCCAAGTCTTTTCTTAATTTTTTTAATTGGGTAGT
    TTGTTCTCTTAATGCTGAGTTTTGAGAGGTTTTTTTTTTTTTTTT
    GAGACGGAGTTTCGCCCTTGTTGCGCAGACTGGAGTGCAATG
    GCGTGATCTCAGCTCACTGCAATTTCCACAACCCTGCCCGGG
    TTCAAGTGATTCTCCTGCCTCAGCCTCCTGAGTAGCTGGGATT
    ACAGGCATGTGCCACCACACCCGGCTAATTTTGTATTTTTAGT
    AGAGACGGGGTTTCTCCATGTTGGTCAGGCTGGTCTCGAACT
    CCCGACCTCAAGTGATCTGCCTGCCTTGGCCTCCCAAAGTGC
    TGGGATTACAGGCGTGAGTTTTCTATATACTTGGGATATAAAC
    CCTTTGTTGGATATGTGATTGCATATTATTTTCTCTCATTTTATT
    CTCTTAACAGTGTCTTTTCCTCATTAAAATGTTTACATTTTGATA
    AAGTCTAATTTATTGATTTTTTTAAAAAAATTGGGCAGCCCCCA
    AGCCAGAATAGGTTGAGAGAGACTCCCCAGTTCATTGATGTTA
    TTTTCTTTTATGGCTTGTGTTTTTCATGTCATGTCTAAGAGTACT
    TTGCCCA
    125 LPGAT1 2454510 GGTCTGATTTGTTACCTGATGCTCACAGAGTACT
    126 LPGAT1 2454511 TTTCTTTAGTAGGAAGTGCTGTACAGATATCTCACGTTGAGGA
    AATGCTTTATATTGCCTTTGTCTTAATATTTCAAGGGCAAACCA
    AAAGAGATACTAGCTTAACTAATGATCCACTTCTGCATGCTTTA
    TTTGGATCTAGGATAAATCAGTACCCCACCCCCCGGAGTTTAA
    GTGATGATTGGTA
    127 LPGAT1 2454512 CATTTTATCCACACACGCAAGAGAAG
    128 LPGAT1 2454513 GTAAGAGTGAGAACACTTTTCTTTAA
    129 LPGAT1 2454514 AGGTTTGCCTTCATGGTCGTCAACAACCTGGTTGCTATTCCAT
    CCTACATCTGCTATGTAATTATACTTCAGCCCCTTCGAGTGCT
    GGACAGTAAGCGGTTCTGGTATATCGAAGGAATCATGTATAAA
    TGGCTTTTAGGAATGGTAGCTTCCTGGGGATGGTATGCTGGAT
    ATAC
    130 LPGAT1 2454515 CCTTGCCCTCTGGTCGGAAATCTCATTCTCTTCATCCCCAGTT
    CCTTGGCTTTTACCTCTTTCTGGCTTTTGCTCCCTTCCCCCTAC
    TCCTGTCCTTCCTCTTTTTCGCATTATAACCCCCTACTTTCTTC
    CTCTCACCTTGTAAGCTTTTTTTCTAGGCCCCCCATTTTTTTTC
    TTAAAAAAAAAAGGGAAACAAAAACCCTATTGCTACAAATGAG
    AATTTTGAGGGTAACTCTTCGCTAGAGCCAGAGACCTTTTAAA
    GGAATGCATCGGTGTGCAGGAATCGTGGTGGTGAGGAGACTG
    AGGTCCTCAGTATCTGGGAAATCTTATTGAGGGGACCCTGTTT
    CGGTCATGTCACTTGTGTCTTCAGTTTGGAGATCCTGAGGTTG
    TCTGAAGCGAGTGGATCTATTTTTCTAAGTCCAATAGACGACC
    GCAGTGAGACACGGTGCGGGGACGGCCACCGATTACTGAAT
    GGGAATTGTGTTATCATTTGCTAAATATATTGTGACATACTTCG
    TGCCTCGGTGAACAGCTC
    131 LPGAT1 2454516 CAGCCGCGAGGGGAGTAGGGCGCCAGCGCGCCCGCTCGCG
    CAGCGCCTCGGGCCGCTTGGGCCGCCACCGCGTCCATGACC
    GCGACCCCTCGGCGGG
    132 LPGAT1 2454517 CCTTGGGGACCGAGTCTCGGCGCCGCCGGGGAACGGGCGC
    GGGCCGCGCCACAGCCGGAGCGGGGCAGGGCCCCGCCACC
    GCCTTCTTCCGCCGGCCCCGCCGCCGGCCATGCATTCTTCCG
    GCTCCTCT
    133 LPGAT1 2454524 TGAGGCCAGTAAGCCCAAGAACTTAAATGAACATTCTTATACT
    TTAGTTTGCATTCTCAGAGCTGGGGAACTGTCTGTAGGCACAG
    AAGATGGAAAAGGGATTTTCTGGTCTGTTTCTGACTTTAAGTTA
    CACATTTTAAAAAGTACTCTGAAGACACTGGGGTTTGTTCATCC
    CCGGCTTGCTACTAAAGTAGTAATG
    134 LPGAT1 2454525 TGCCAAAGGAATTCTGCTCAGCAGATTAAGTATGTTCATGTTTT
    AGAATAAAAATTGCCAAAACTTTGTTGAGAAACCACTTATGAG
    GAAACCTTAAATACTAATTAGGAAGCTAAAAATTGAATATTGGT
    ATATTGGTATAGAATGAATATATATATATATATATATCTTTTTCC
    AAATTATGACATTCCGTGTAATATGAGTGAATTACTCAGCTCTG
    CTGATGAGGACTTATGTTG
    135 ERO1LB 2462330 CTATGCAATCCTCGAACTCAGTGTGCTTTTCCCTGACAGGATA
    TATAAAAAGGTAGATTAGGTCAACCCTCCTTTAAGCTTACTCTC
    CCCTCACCTTTTCTTTTCACTGTATATAAACGGTACTTTCTGTG
    ATTCATACCAACAGAGGACTTTCTGTGATTCATACCAACAGTC
    CTAAACTGTCATTTTCTAAATCTGGGATTTAAAATCTTTAGACA
    ATATTTAAAATCTTGATTTTTTTTAAATGTCAGCAGATACAATTT
    GGAAGATTGCATCTGTGTAGAAGTAATGCAGGTACAAGATCTA
    GAGTTTTTCCTTAGACTCTTTAGTCTTTTCTGAATTAAAGAATAA
    GTGCTCTTAAATCCATATTTTATCCTGTCAAAGTCTGAAATGTG
    TTCATTGATGATTTGGTGACATCTAAAAAATTGTATTTAGTTGG
    CTTGGCTCACCCCTCTTAAAAATACTTAGCCATCTCTTGGTGG
    GATGTGGTGGGGGTATTAAGGTCTCAGAGTTATTTATTTTCTC
    ACCTAATTTCAAACCTTTATAAACTTGGGGTTTTGTTGTTGATG
    GTGGTAGTATTTTTTGTTAAGTTGTTTAAAAGGCTGACTTGATT
    GGAGCCTCCTCTACTTTTTCTTGAGGGTTGCAAGTATTGTATG
    GTGGGGGAGGGGGGCCTTAAGGCAAACTGTCTAAAAAGTGAC
    TATCCAATTAATTTAACTAGTAAATTAGTAAGAATTATTCTTAGT
    ATTCACTCAGAGTTTAAGATGTGAAAAATCTGCACTTTGTTTAT
    CACTCTAAATGTAAAGAACTTTTTGATAGTGTTATTTCACCACT
    CCCTCAGTTAAAGGCTATTATTTAAACTGTTTACTGGAGAAAAT
    CCTCGCTCATGTCCATTTATTGTTTTTTTCTGTACTGTGATTTGT
    TTCAAGCTTAGGAAAACTAGTATATTAGAGTATGTTCTAGGAAA
    TTAAAAGATCTGGTTAGAGTAAAAAGTTCTTTTTAAGGTTCTTA
    ACTAATTTTTTCACAACTAAGAAAATAAATGAAGTATTCTTAGG
    CTGAAATTCATCTTATTTTATCATAAATTAGATTGTAGGGGCAG
    CCTACATTTTTGTGTATGTGTTTTTATTTCTTAAATGATTGTGTG
    AGCCTGGTGACATTTTATGGTTCTTGTGATCTAAACTGTTTTTC
    CAATTCACATCTTTTGTCGTGAAGTGATATTATACTAGAGTACT
    GTTTGCATTGTAAAAATGCTTTGCTGGTGCTCTGGCATTTTGTC
    TTTATCTCATCACCTAATTTAAAAACCCAGCACTTGATAATATA
    ACTGACAGAAATGATTGTACCCACTGATGAAGTAATGAAAATG
    AAGAAAAGGAAAATATTCCTTCCTTCAATGGCGTAAGTTTATTT
    TTTACTTAAGTGGCATCTATGTAAGTTAGACAAACTATATATTA
    AAATTGGTAAACTTTGAATGTTTCTCCTGTTTTGATTCTTAGATT
    ATGAGGAGGATCAGACAGAATAAGACTCCACACTTTTGAAATT
    TGATAAGTCAAAACGTTTTATTTTGACATTTTTAACATTGTGAAT
    TATTCGATATTTGTAATCTCTGTATGTATATGAAACTCTGCCAT
    GTTTTTCAACTTTGCCTATGTGCCACTGTA
    136 ERO1LB 2462331 CTAGGGAACAAATGTTGCTCAGGGCTGGTGTCAGTGAGAAAA
    ATTTATCAATGCTTTTTAATGTGTTTTTACCCTTGCCTCACTGTG
    TGTGTGTCACTTTCTATAATATAAAGAAATACTATAATATTTCTA
    GAATCTGGAACTGTCACCATGATGAATGGCCCTTTCAATGCAT
    AGTTACAGAAATTCCTGAAGATTCCCCAGGACTTCAATTTCATT
    GGTTTTTATTTGCAGTTTTTAGTTGCTGTAATTGTTGCTGTTTC
    CAGTCTAAAGGACCTC
    137 ERO1LB 2462332 AGAGACATAAAGTGACTGTGGAAAGCCTTTTAATTATGGACAT
    TCATCAGAAAGACACTAATCTGACTTCAAGAATTCTGAACTATT
    AA
    138 ERO1LB 2462333 TTTAAAGTCTTATTACAACACAGTA
    139 ERO1LB 2462334 GTACTAACTTAGAGAGGCCTTAATGCTGACAAGTCAGTTTCTC
    TACAGGTCATAGGAAAAACTAAGTTTCCAATTGCCAGTGTTTTT
    CAGTTTGCTGCCTTAATTTTGTAAGGGAGATATTCTTCTAATAT
    TCTTTTTGCTTGGCTATAACTTGTTCAACTACAATAGCAGGAGT
    AAGGAATGTGTGATTGAGAAGGTGATAAAAGAAAATTAAAACC
    TTCATCTGCTCCTTATTTTTCTTAAATTTTCATTACTATTTTTTTC
    TTTTCTCACCTTTTTCCTGCACTATGCTCTTTATTTCTGAAGCTC
    AGAGGTCATTTTTCTTTCACTCATTTCTACATGATTTACTTCTGT
    ATAGAGACATATAATTTGCTTGCTTGTTTATATCACCAGTGG
    140 ERO1LB 2462335 AGGAACTGCCCTGAAGATATTATTCTCTGAAAAAGAAATCCAA
    AAGCTTCCAGAGAATAGTCCATCTAAAGGCTTCCAACTCACCC
    GACAGGAAATAGTTGCTCT
    141 ERO1LB 2462336 TGTGTCTATGTTTCTATTGATACAATACCAGATTCATTTGTGAA
    GTTGGTGGTCATTACGAACCGAGTATATCCGTATTTTACATATG
    142 ERO1LB 2462337 ACATTTCAAGAATATCTCCCGTATAATGGACTGTGTTG
    143 ERO1LB 2462338 GTCCTTTCCCATGCACTTTGATGAGAAATCCATGTTTGCAGGT
    GACAAAAAAGGGGCCAAG
    144 ERO1LB 2462339 TTTATACTTGATTGAGCTTCGAGCTTTGTCAAAGGTGGCTCCAT
    ATTTTGAGCGCTCAATTGTCGATCTTTACACTGGAAATGCAGA
    AGAAGATGCTGACACAAAAACTCTTCTAC
    145 ERO1LB 2462340 GGAGAAAAGAGTCTTCTATAAGCTTATATCGGGACTTCATGCT
    AGCATCAATTTACATCTATGCGCAAATTATCTTTTGG
    146 ERO1LB 2462341 TGTCATATACTTTTAGGGAGGAAGCTACAAAATAAAATTCAATT
    TCTTTTGGTCCCCATCCATGACAATTTGAATATTCTAGCAAGAA
    TTCCCAATTAGGGAACGAGAACTCAAAAGAATTATTTTTTCTAG
    TTAGAGGCCACGTGCTTC
    147 ERO1LB 2462342 AGCATATTTTTGTAAGGTCTAGGATTT
    148 ERO1LB 2462343 GAGAATCATTCTACACATGGCTAGAAG
    149 ERO1LB 2462344 AGAGGCCATATTTTTTAGTACGTTGGGTACTAGACTTTTCCTGT
    TGGCACTTGAGGTGTTTTGAATCACAAGTGATATAATGATAAAT
    GATCCTTACTATATGTTGAATGAATTAATTTGTTAGACGTTTTCA
    TTTTTGTACAAAGTATGAAGACTCTCAGGAGGCAAAGTAATTC
    CCCACCGTCTAGTTTATCCCTAGACTCCTTACTCAGCTCATCT
    GAGTGTTCGGTTTTTC
    150 ERO1LB 2462345 TTTGTTTGTTTCAAGTGTGGAGGAAATTTTTTGTAACAATCAGA
    ATTTGATTTTTCCTTTATGGAATTCAAAAGAAAGTATTCCTG
    151 ERO1LB 2462346 CCTGGCCAAAATGTGCAAATCTTATACTCTTTGACCTGTATTCT
    GATTAAGAGGACTCATTTGCAGGGCGTCTACTCAGTGACCAA
    GGTTTGTGATATAATTAATAGTTTAACAGTTTTAATCTCAAAAAA
    TAGTATTGGGATCTGAGCTATGTAAGACATTT
    152 ERO1LB 2462347 GCCTCGATCTGTTTATCGTCCTTTAAATCCTCTGGCGCCTAGC
    CGA
    153 ERO1LB 2462348 AAGAAGGAACGACTGATAGAGGGTCGGGAGAGGCCGGGTGC
    TGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCAAGG
    TGGGTGGATCATCTGAGGTCAGGAGTTCAAGACCAGCCTGGC
    CAACATGGTGAAACCCCGTGTCAACTAAAAATACAAAAAAATT
    AGCCGGGCATGATGGCAGGTGCCTGTAATCCCAGCTACTTGG
    GAGGCTGAGGCAGGAGAATCACTTGAACCCGGGAGGCAGAG
    GTTACAATGAGCAGAGATTGCGCCACTGTACTCCAGCCTGGG
    TGACTAAGTGAAACTCTGTCTCAAAAAAAAAAGAGGGTGGGGA
    GGGGAGTATTTGTTTCTATTGGAATAAAATTATACACTATAAAA
    GTTAAAACATTCTATGTTTGGGTATTATGCTTTCTTT
    154 ERO1LB 2462349 GCTGCTCAGTATGTAGACCTATTGCTGAACCCAGAGCGTTACA
    CTGGCTATAAAGGGACCTCTGCATGGAGAGTGTGGAACAGCA
    TCTATGAA
    155 ERO1LB 2462350 CCTGCACAACAAAGTAAGACCACTTTTCTTAAAAAAGAACAAT
    GAAAAACCTGATATAATTGATTTTCCTCTTGTGATTTTTTAGCTC
    CCTTAAAGTATATTTTAAATCATCATGGTTTAATATCTGAATCAT
    GGTTTTTCTTCTTTATTGGTTATTTGGTTGGTTTTCTTGGGAAA
    AGAGGTTGGTACTAGTCCAATTTGCACGTTTGTAGAGGATTCT
    A
    156 ERO1LB 2462351 CTGGGGAGGACTCTAATTCGACTTCTCCACAGCCCTTTTTCCA
    157 ERO1LB 2462352 CAAAGAAGCTTTCATTGACTGGGCAAGATATGATGATTCACGG
    GATCACTTTTGTGAACT
    158 ERO1LB 2462353 TGCTACTAGTAGTGTATCAGTTATCTGTTCTACAACTTCTCCAG
    TGATTGGTACTATGATTTTTAAACAGCTTTACTTTGAGGTATAA
    TGAAATATGATACACTGCATATAAAGTATACAGTTTGATGTTTT
    GACATGTGTCCACCCATATAACATCATCACAATTAAGATACCAT
    AGGTTGGGTG
    159 ERO1LB 2462354 ATGATCTAGGGACTAGGCTTAAGTCATTGGAAGATTTTGGGGT
    AAATTGCCAGTTTATATTCTTTGTCATTTTTTTCTCCATTGGGTT
    GGATTTTAAAATTATTACTGATTTGTAAGCATTCTTTATATAATG
    TGATAATTCTTTGTTGGCTGTGTTGTTAGGATTTGTCCTTTAAT
    TTTGCATATAGTTTTTTGTTGTTGAACAGAAATTATTCTTTAAAC
    TTAAAAAATTTAAGTATAATACACATATGGTGGAATAGAAAATT
    CTTAAGTGTAAAGGTCAATGTAACTTTACAAAGTGAACCCAACT
    CTATAGCCACCATCCAGAGCATTATACTTGCTGTCCAGATTAC
    CATGTGTACTTTCCTAGTCATTATCACCTTCCAAAGTTAACCGT
    GATTTTGAGATACTGACAGAGATTAGTTTTAACTGTTTATAAAT
    AGAATGATATAGAACATATTCTGTTGTATCTGGCTTCTTTTTGT
    TAACATGTGTCTGAGATTCATTCATGTTTTTGGGCATAGTAATG
    TTTAATTCTTTTTTATTGGCACATAGTATTCTATAGTAAGAATGT
    GCCATGTTTCCATTCTGCTCTTGATAGCTTATGCTTTGGGGCC
    ATTTC
    160 ERO1LB 2462355 GAGCAAGCTAATAAACTGGGAGCAAT
    161 ERO1LB 2462356 TTCCGGTTGGAATAAAAGCTGGGCATTCTAATAAG
    162 ERO1LB 2462357 ATGTTCCAGCTACATGCACTTCTCCCATTGGTAAACCCTAGATT
    AGATTGGTAAACTCTAGGTTAATCGTGTGGGCCAAAAAAAGCT
    TTCTAGTAATCCAAAATTGCCTACACTTTGTTAGAGCAGAAG
    163 ERO1LB 2462358 TAATCTGAAGCGACCTTGTCCTTTCTGGGCAGAAGATGGCCAC
    TGTTCAATAAAAGACTGTCATGTGGAGCCCTGTCCA
    164 ERO1LB 2462359 GGTTGCATACTGAGCACTACTTTAGCAAGCCTGGCCAGGAAT
    GGTCTCTCTGCTTAGGTGTGATATGTGAGAGAGACTTGAATGC
    GGCGAAAGAGTGAGCCGTCATAAGATCTGGAGGA
    165 ERO1LB 2462360 ATGAGAAGTGCTGTCCCTTCCATTCGTGGTGGCAG
    166 ERO1LB 2462361 GCAGCCTCAGTGGAAACCTCAGGTAAGCCTGTGGGGAATTCT
    TAAGATGGAATAACCCTTCCGAGTTAGTCGTCCCCATTTGGCA
    CGAGAGGTATAGGCCTTTATATCTCTCCATCAGTTGGTCATTG
    GATGAAGGCCACCAGAGGAAATAAGGATCCAATCTTGGGTAA
    GGTGGTTCTTTTCACCCAAGCTTGTCTACCTGCAGCATTTCCA
    CAACTGAGGTAATTACATCCCCTTTATTCCTGAAGGGTGATCT
    GAGTAGTATGTTACAGTGTCTACCACAGTCCACTCGTTGCACC
    ATGTATTTC
    167 ERO1LB 2462362 TCCTACCTAATGTGAAAGAGCCATGAGAAGGTTTGGGGAAAG
    AACATGCCAGGGAAAAGATGTAGAATACCAAGTAAATGGTCTT
    GAGATAGAAATAAGCTTGGTGTGTTGAATAGGCAGAAAGCTG
    GTATAGCTGGAGTGAACGAGAGGGAGAGTTGGAAATATAGGT
    AGGCACCAGATTTAAAAAACAGTAGGACCGTATTGACCATGTA
    AGGATGCTGGATTTTATTTTAAGCAGGATAAGAAACTACTGAA
    GGGATTTTTGTGCAAAAAAGACTGTAAGGGTAGAAGACAAGAA
    ATAGAGGAACCATTTAGGAGACTCTTGTGTTAGTTCAGATAAA
    AACAATACAGATTTGCAATAGAATGCTGCAGCTGAAAAATGTA
    GAAAATGATCAAATTAGGGTTGTACACAAAAGGCAACACCAGC
    AAGCTTTTCTGATGAATTGAGTGTGACGTATGATATAGAAATGA
    AATCAAGGATGATGCCTAAGTTTTGAGTGCACATATACAAGCA
    CAAATGTACATATATGTAAAATCATGACCAAATAGATTTTATTC
    CAAGAATGCAAGGATGATTCTTGCATTGATGTTGATAATCATCA
    AAATTCAATATGTGCTCCTGATTTTTAAAATAATAAGAATGATG
    TATATTTCTTAACATGATGATTTCAGTCCTAACATCAGCATAGC
    TAACACGTCTTGCATATGGGGAAACACTAGAGGAATTCTCACT
    TAGGTCAGGAACCAAGACAAGGATACCCACTATCTGCATTAAC
    TG
    168 ERO1LB 2462363 GGAACCACTGGGATTTTGTATCAAATTAACTATTTTCCCATATT
    TTCCAAACTTTATGTAAGAGTTATATTTCTGTCCAGGTACGGTC
    ATATGACCTGTTGGACCAAAAGAAGGAAGGACACCTTGGTTGA
    CAGTCTCATTTGCATGAGTAAAAGTGGAGTCATTGTTTCCCAA
    AGGGAAATTAGGGACTGTTACAAAAGAAGGAATAATGGAACTT
    GGATAGGCAAAAGTGACAATGTGGTTCTTGGCTACTCAACAAT
    C
    169 ERO1LB 2462364 CCGTTCCTGAAGTACTGCAATACCAGGTCGATGCGAGGAGTG
    GATGGAGCAAGCTCCTATTCCATCTCCCTACTCCAAAAATCCA
    TGTAATATATTGTTCTCGGGTAGAGGACATATCAGGTATTAACA
    GATACTTCACTTGATCTTAGCCAAAAGGCCGAGAAGCCATTGG
    AGAGACAGGTGCTTCTTTAAATTTCCACCACTAAATCTATAAAT
    CTAAGTGCATTTGTAGCTGCTTTCTCTTGTTTCTTTTCTACCAT
    AACATTGAACTATATGAAATTTTTACTTTTATATTTCAAAAATGG
    TTGAACATGCCAGTTTCATATTGCTCAATGTAATACAGTGGGG
    GAAGTGTTTCTTGTATCAAAAACCATCTCTTCACAAGTGGTCCA
    GTTCACA
    170 ERO1LB 2462365 GTTCTGGATGATTGCTTGTGTGATATTGACAGCATCGATAACTT
    CAATACCTACAAAATCTTCCCCAAAATAAAAAAATTGCAAGAGA
    GAGACTATTTTCGTTATTACAAG
    171 ERO1LB 2462366 CTGAGCTGTGTCTGCCAAGTGGCATCGCCAG
    172 ERO1LB 2462367 CTGACCGTCCAGTGCGGGAAACATCTGCGAACCGCCCGCAG
    GGTGGGGGGACGGCGACACTCCGGGTAATGGCAGTCAAAAG
    AGGAAGATGGTGACGGTCCCCCTGAGCTGTTTTCGTTTTTTCC
    TCTCGGATGTGTTAAGCGGCTGGGAGTGTGGCGGGAGATGG
    GACGGGCATGAACCACCTCGGCTGTCTTGCGAAGGGAGCGA
    GCGCCCAGAGAAACGGTGACGTCCTT
    173 ERO1LB 2462368 ATGAGCCAAGGGGTCCGCCGGGCAGGCGCTGGGCAGGGGG
    TAGCGGCCGCGGTGCAGCTGCTGGTCACCCTGAGCTTCCTGC
    GGAGCGTCGTCGAGGCGCAG
    174 MIR4435- 2492489 TGTCAACTCTGTGTTGGAGCCAGTAGGGAGCTCTGTGGGTCC
    1HG TCGAGCAGGAAAATCCCATGGCTTAAGCAGTGTTTCAGGAAG
    ACTGGGATGTTAGGCTCCGGAGCTCTGAGCAAGTCAGATGGG
    ACTGGGAGTCATAAGAAGGCTTGACTGTGGCTAGTGATAACC
    A
    175 MIR4435- 2492490 GTGAGGACCTCTGATGGACCAGGAAATTGGAATTCTGCCTGG
    1HG GAGGCAAGCCCATGGAGGCCCTGATCTGCTTGGACAGAGAGT
    AGCTCCCTTCACCTGTAAAATGAGAGTGAACGAGCTGGTG
    176 MIR4435- 2492491 TCACAGCATTCCTGTAAAAGGTATGAGGTTCGCCCTGATTGGA
    1HG CCAGCCGAGGTCACATGCCTACACATGAGCCAATCACAGTGG
    ATAAAGGACTG
    177 MIR4435- 2492498 AAATTGACATTCCAGACAAGCGGTGCCTGAGCCCGTG
    1HG
    178 MIR4435- 2492499 TGTGAAGACTGGACTTAAACAGCTACACCACCAGAAGCCGAG
    1HG AGAG
    179 MIR4435- 2492501 AGATGCTAATCCAGCGTGCGTCCTGACAGAGGTTGAAGGGGG
    1HG CTTCTCAAGTCCCAGGTCCAGCTTGGTGTGGTTCAGCTACTCA
    AGAGACATCTGCTGCTAATGGATGAGCAGTCAACCTGGACGC
    AGG
    180 MIR4435- 2492502 CAAAAGGAAGGTGTCGGCAAGATCGTTTTTTTCTGAGAGC
    1HG
    181 MIR4435- 2492506 TGAAACAGGAAGCTCTATGACACACTTGATCGAAT
    1HG
    182 MIR4435- 2492507 CACCTCTACCTGTTGCCCGCCGATCACAGCCGGAATGCAGCT
    1HG GAAAGATTCCCTGGGGCCTGGTT
    183 MIR4435- 2492508 TATTTTGGTCATGGGCTGGTCTGGTCGGTTTCCCATTTGTCTG
    1HG GCCAGTCTCTATGTGTCTTAATCCCTTGTCCTTCATTAA
    184 MIR4435- 2492509 AAAGGCTGCAGTCACCAGCATCTTTTCCAACCTTAATGAACTG
    1HG TATCCTCAAAAGAACACTATCAGACTG
    185 MIR4435- 2492510 GCTCTGCCGACTTCCAGTTCTGGAACAAGATGGTTAAACTCAT
    1HG TTTTCCCTGCTCTGCTCCTCTAAATACAACTAAGTACCTTGGAA
    ACTATTCAGCAGACAATGATAAAGGGCTCTGAAAGCTAGAAGA
    AAAGGTGTACTTGCAAGAAACCTCAGGACT
    186 MIR4435- 2492516 GCTTCTGCAGTTTGCCTTGGAGTCTGGGCTGT
    1HG
    187 MIR4435- 2492517 TAAGAATGTAGATGCCGGTTGCACCTTCTGTTGTCTTGGAAGA
    1HG GACTGCAGTGCTTGGCTGGAAAATAAGCTGCTCGGGACTCCT
    CTGAGA
    188 MIR4435- 2492518 CCTACCCATGAGGAACAAGCCTGTGGGGGGACTGATATTATC
    1HG ACTTCTGTCATCAAGAAATAAGGCCGCAGGCATCCCTGAATAT
    AGAGCATTTATTAATCGAACTGTGAAAATGAAACACAGACAGT
    GATGACAGCTGGAAGTTGGCCAATGTCCTGTTGTCATATTGCC
    CTCAGCCTAGGGACTGGCCTGTGGCTCACTGACCCTGTCTCC
    CACTCTCCACCTCTCATCAGCAACTGGACCTGGTGCACCTGGT
    CTACCTCATGTCCAGTGTTTTCCGCAGTACCTGACTGGTATCC
    CCACCCTTGGTTGTTGTGTGGTGAGCTCGTCCCTATGTTGGCA
    AGTTACTTAATTCCTAGGTGTCCCGCCTTCCTCACTGTAAAA
    189 MIR4435- 2492530 CCCTGGCATCATATTGGGACTTGTTAAGGGCTGAATTGTGTCC
    1HG CATCCCAAATTCGTATGGTGCCACCCCAACTCCAGTACCTTGG
    AATGTGACCGTATTTGGAGAAAGGGTCTCTGAAGAGGTAATTA
    AGGTAAAATGAGGTCATATGGGTGGCCTCTAATTCAATATGAC
    190 MIR4435- 2492538 TTGCTGATATACTTACAAACTGGTAAACAATGCTCTTTAATCAA
    1HG CAATTCATAATCTGGGTCAGCGATTTTTATCTCCATATTTGCTC
    ATACTGTATGACATCAATATTTTATATTGGCTTGCCCATAACTT
    A
    191 MIR4435- 2492544 GCCAGTTCGCCTTTCGCTTTCTAAAATCATCTTGCTGGAGAGA
    1HG ACGGTTATCAAATCCCATCCACTGCCCATGTAAAATAAATACC
    ATTCAGAAAAGCGTGGCATGGATGGCCATACTTCTGATGGGTT
    TATAACTGTAGATTGCATACGATCCCAACGTGAAGCCTGAAAT
    ACGACATTCAACGTCAGGCTTATTCCAGGCTACTGCTGTGGCT
    ACTTTTGTAATTCAACCAGTGGGGCGTTTTAGGCTAACGTATAT
    TGCCTCTAAGCTGATAAGCATTTTCCTGATCCCAGGCCCCTTC
    TAAAATTGAACACACACGTTCAGCTGGGGACACCTA
    192 MIR4435- 2492546 TCAGTTTTGTGCTTACAGTCCCGCA
    1HG
    193 MIR4435- 2492548 TGGGAGGCCAAGGTGGGCGGATCATGAGCTCAGGGGTTCAA
    1HG GACCAGCCTGGCCAACGTAGTGAAACCCCGTCTCTACTAAAA
    ACAAAAAAATTAGCTGGGCATGGTGGCGCACACCTGTAGTCC
    CAGCTACTCGGGAGGCTGAGGCAGGAGAATTGCTTGAACCTG
    GGAGGCAGAGGTTGCAGTGAGCTGAGATCGCTCCACTGCACT
    CCGGTTTGGGC
    194 MIR4435- 2492552 CTGGGGACACTATGGCCCCATCCTAGCCTGGTG
    1HG
    195 MIR4435- 2492554 GAAAAGATTTTTATTCGTGTCTACATCAGTGTGAAAGGCTTCAT
    1HG CCTGG
    196 Ml R4435- 2492556 TGGACTTCTCTTTAGCTGGGGTGGTGGCTGCTGGAGAGGGCC
    1HG CTGCTTGCTCATCTCTGCCAGCTTCCCAGTCCCTGCAACCAGC
    AGTGGCCAGCCTCTGGCCACCCCCATGAAAGCACATAAAAGG
    GTTGGGGA
    197 MIR4435- 2492558 GGGAACAAAATGTCTGCTCAAACCATGACAAAATTGGCCACAA
    1HG TTTGCCGATTGGGCTGATAACAAAAG
    198 MIR4435- 2492568 AGGTCGAGGCACTGTCCTAGCTTGTGACCTGCTCCCATACCTA
    1HG TTTTCTCAGGGTGGAAGCAGACGCTCCAACTCCCACA
    199 MIR4435- 2492569 AGACCCAAAGCCTGTAGGAAGTATAGCAGGCCTCACCCAATA
    1HG CCCTGCAGTT
    200 MIR4435- 2492571 CCTCAAGAGAACATGGAGTCCTTTG
    1HG
    201 MIR4435- 2492573 TCAGTGGCCTCCGAGTAACCCACCTGCTCCAGTCTGCAGATTT
    1HG CCATCTCACTGAC
    202 MIR4435- 2492575 CAAAGGCTTCTCTTGCTGGCTGAGAATTGTTGGGGAGCTCCCT
    1HG GCCCACGGAGGGC
    203 MIR4435- 2492577 GGGTTCCTGTCGGAATCTTGGAGCTCATCCCCCAAACTTGAGA
    1HG TT
    204 MIR4435- 2492581 AAATGCTTAGGGAGACAGTTCACAGATATATATGTACTTCACA
    1HG GGGCACAATTTAATCCATAAATCAATCATGGATCACTGCTAAA
    GAAAACAAAATATGCTGCCACTAATTTGCCACCACCCTGTGAG
    CATGATTGGATGATGTTTA
    205 MIR4435- 2492583 AGGCAGCCTTTTCTGTCACAACACAACGCTGAGCCGGCAGCC
    1HG TGGCTCTGTCAGGATCTGGGGCTCCAGCGCCCGAGAAGCCCA
    GCCTCGCCGGCGGCCAAGTTCACCGCGAGGCC
    206 MIR4435- 2492584 CCGAGGAGGCGGAGCATGGAACTCGACAGTTAAAACATTTAA
    1HG GAGA
    207 MIR4435- 2492590 TGGCAGCTCCATCTACACAGTGTCGGGCTAGGCATGGGAGCA
    1HG TTCTGGGCCAGGAGAAAGGGGATTGGATCCTGGATGGTGGGA
    ACCGCAGGTGTCCCCCTCCACGTGCCTGGGTCCAAGACTGCT
    CTGCTCTGGACCTTCTACGCCTTCAGAGGTACAAGTTGCAGTG
    CTACCCTTGCTGAACCTACAACCCTGTTCAAGTGACAACTTCT
    CTGAGTCTCATACGAGGATATTGAAAGAACCTTCTGCACAGGG
    CTGTTGTGAGGATTAACCGTAATAATACAAGAATATCTGGCAC
    TTGCATTCAGCAACTCACCGCTTACTTGTTCAACCAGGTAAAA
    AGGTTCTGATCCCAGTGTTGCAGGACAGAAAGACCTCCCCCT
    CTGTAGCTGCAGATGTGACCCAGCACAGAAAAAATGGCAGGT
    GAAAGACAGGCAGGAAGAGCAACTAAGAAGGTGGGAGGCAC
    CTCCATAAGATGCCTGAGGCCATGGGGATGACCGTTCACAGA
    GCTAGTCCCTCGAGCAATGTGTTA
    208 MIR4435- 2492591 TGTGGCTCCAAGTTCCGTAGGACTCACTAGTCTTTTTTTCCCTA
    1HG GAGGGTCTTGCCATTGAGAGGCAGGTGATGTGCTGTTTCAGA
    AAACAAAATTGGGACATGTCCTGATATGACATCCATCAAATATA
    TACAGATAGGTGTCACAGCCCCCGAAAAAGCTTATCTCTTCTA
    GGCCACACATAGCTATTTCCTCCAACTGTGTCAGACATTACAA
    AGTTTCTAGCAATCAAAACAAGTCAAATGCCATTCTCAGGACC
    CGTTGGAGGATTTTTTGCTTTGTTTTGGCTTTGTACGGTATCCA
    TACCATTTTCCAAATTCTTTTGTCCTTACATATTTTGTTTTTCTTA
    AAAAAAAAAAAATCACCTATAATCCCATCACCAGACAAAACCAC
    TAGAAAGAAACCAACATTTTAGCCATGTTTTTCTGTATATAAAA
    AAAGTGTGTGTGGAATTTTTCATAACAATATTGGGACCATGAC
    ATCTATCACATTTTTTATTAGGAAATGGCCTTCAACAATATGCA
    TTTAACAATATGCTTGATGTCTGTGTAATATTTCATCTAACAAAT
    ATATCATGATTTATTTAAGTATTCCCTGATTGCTTGCTTCTAACT
    AGAAAAAACAATTTTTCTAAGTGTCACCACTGGGTTAGAGTAAT
    CTCAGCCAATCCTCCTAATAGCACTGTGAGACCAGAGTTATGA
    TAATCTTCAGTTAATGGACAAGGGACATGATGGTGTGGAAGGA
    TAAATAAACTACCCAAAGACAACTAGCTAGTGAGACCAGCATG
    GACAGTCAAGCCCAGTGCATGTAATCTGTGCTCCCCTGCACT
    GTTGCTCATATACTTGGACCCTTGC
    209 MIR4435- 2492593 CAACCCAGGGTCCTTGCAGAGAGATTGATCTGCCAGCAGTGG
    1HG CATCAGCAGCAATAGTAGCAGCAGCAAAGCCCTGGACAGTCC
    TGGCCCCCAGTCCACAACTTAGACACAGCACATGGCCTAATTC
    ACCCACAGAAGCAGCCACTGTGAAGCCCTGTGTCTCCCCAGA
    CTCCATCCAGTGGCATAAGGAGACCCAGGCCCTGCAGCTTCC
    TCCCCATCATGGAAGGCTGTCCATCTA
    210 MIR4435- 2492595 ACTTAAAATAGGAGTGAGGTGAGAGGGGCAGCTGGGCTCATG
    1HG GACGTCAAGTGGACAGTTTCTCAGCTGGTATTTCCTATATTTC
    CTGTTTTGGACAGCAGGTTCCTGCCCTTCTAAGCTGGGGGTA
    GGGGTGAGGGAGTGTATGTTAAAAAGCTCTGTGGACTTGCT
    211 MIR4435- 2492597 GGTATTACCTGATCCCAACTTGGCACCAAAAGACAGCCAACAT
    1HG AGACTCATTCCTCCTGCTTCCTGGTGAGCCTGGTATTCTCCTC
    CACTTCCACTGACAGACATGTAGGGTGACTGGGTGGTATCAA
    CAATAGGAACCACATCATAACAGGCAGCCTAGTTTGGGAAGC
    ACTCTTGGTCTCCGTAGGCCTGAGACTCCTTTTGCCCATCTAG
    AGG
    212 MIR4435- 2492601 AGACTGACCCTACAATAAATGCTTAAGAGAGTCCTACATCTGG
    1HG AAGCAAAAGGGCTATATTCACCATCATGAAAACCCTAAAGTAT
    AAAACTCATTGGTAAAGCAGACACACAAATAAGAAAGAGAATG
    GAACCACATGTTATCATTACAGAAAACCACCAAACTGCAAAGA
    TAAACAAAGGAAAGAAAGAAAGAAAGAAAGGAAGGAAGAAAG
    GAAGGAAGAAAAAGGATTATTTAAAATTATCAGAAAACAATTGA
    AATGACAGGAATAAGACCTCACCTATCAATAACAACTTTTTTAA
    ATGGCTTAAATTTCCCAGTTAAAAGATATAGACTGGCTGAATG
    GATTTTAAAAGTGACCTAACTCTATGCTA
    213 MIR4435- 2492603 AGAAGCTTGTTTTGAGCTCATTCAATATGCATCAGGTGGCGGT
    1HG AACATCTGGAG
    214 MIR4435- 2492605 AGGGTGCTGGTTCTGAGCCAACTTTGCATGGAAGGCCCAGCA
    1HG GACCACGCTCATTACTTACAGCCAGCATCATCGGGGAACTCC
    GGCACAGA
    215 MIR4435- 2492607 GCGGCCCTAGTCCACTCTCATGATGCCTCCATTAATCCCCCG
    1HG GTCAGGGACCTTCCAGCCCTGCCCACAGCAGTCGATGCCTTC
    AGTGCATCTCAGTCTTCCACCC
    216 MIR4435- 2492609 TCAGGTCATCCGCTCCATGGAGGTCCCCGTTCCTACCTTGGC
    1HG CTTGCCTTTCCCCCTGCATGTAACCTTGGTGAACTTTTCACAA
    GAGTCTGCGCAGTCT
    217 MIR4435- 2492610 TAAGCAGATTAATGCCGAGGAAAAGCCTTGGTGA
    1HG
    218 MIR4435- 2492612 CCCGTGGAGAGAGCCCCGCTGGTGAGGAAGCACGGGGACCC
    1HG TGCTGCAGGGCTGGTGGAGGGCTCCTTCTGCAGACTTCTGAG
    CTTGGAGCACAGATGGG
    219 MIR4435- 2492614 CTGGCTCCTGCACTACTATGGCCTTTTGGCTC
    1HG
    220 MIR4435- 2492616 TTCCAAGGTCTCACAAGAGTTTGCCTCCTCTCATTGCCATGTG
    1HG AAGACCTCTGTGGGGGAACAATGCATGGGTTCTTGGGGTATT
    ATAGGGGACTACAGAGAAGTGTCACCTCCACCCAACAGCCTG
    ATTCAGTCTACTCCTCAGGAGGAACACAAAGTGGTCTCTCTAG
    TGCCATGAAACCCCAAAAAGTGTCAACCAGTATTAAAGGCCTG
    CCTGATATACAACCCTCGA
    221 MIR4435- 2492618 ATGAAGCTAGGCCCCCCTGTCCTGACAGCTTTCCACCCCTTCC
    1HG CTGCCCCTCTCACCCTGCTTTCCAGGGGCAATGCACCTCCCC
    ACTTCT
    222 MIR4435- 2492620 CCAGACACCACTGGCCTACATCAAACTCCAGGCCACAGATGG
    1HG AAATAGGACTGAGATCCCTGGACCTGGG
    223 MIR4435- 2492621 AGATCAGGTGGATTGAGGATGTCACTGCCATCCCCTCCAAAA
    1HG GCACCTGCAGGAAGGGGGTTGCCATGGTCACCATCTGTGAAC
    AGGACTCCTCAAAATGTTT
    224 MIR4435- 2492622 TCAAGGTGGCCTTGCGCTTCACCGAGGAGGTGTCATTACCAA
    1HG ACGTGCTGGACATTGGCTACCTACGGAAGAAAGATTAA
    225 MIR4435- 2492624 CCTTCCTACCTGGTAGTAGCACTGACATCCTCTTCATCCACTG
    1HG GAAGCTTCCAGATCCTGGCCCCCACAACCCATTCTCTCCCCAT
    AGGGCTTCCACAGAAACACAACGTGTACTGTGTGCCAAATGA
    CT
    226 MIR4435- 2492626 TTATACATGGCCTCACTGTTGGGGAGGCAGTAGGGAGTGTTG
    1HG GAGACCAGGGTCAGGACTAGGGCTAGGGCAAGGCTAGGAAG
    GTGCCCAGGATGCATGTTTTAAG
    227 Ml R4435- 2492628 TAAGAAAAGGATCGTGGTGGTAGCAGGAAATAAGACAGAAATT
    1HG TTCCATGGGGGCTCCAGGTCTGAA
    228 MIR4435- 2492636 GTCTTTTCTTGAACAGGAACTTGCATACTCAAAAACAACA
    1HG
    229 MIR4435- 2492638 GATCCCGTGGAAACACAGCACCGGAGGATATGGGATAAGAGA
    1HG CAACAGAGAGGAGTGGTGCTTCCTGAATTTAGGAAACATAGCT
    GCTACTTTGGGCCCTCTAGATACTTGAAAGAA
    230 MIR4435- 2492639 AGGGAAGCCAGGTTGTTCATGGACATTCAGTGGAAGAATTAA
    1HG GGCAATTAAATGTTAAGTTTTGCAGGGCTGGTCGACAAGAGAA
    231 MIR4435- 2492640 GTGTGTATTCTCCATTGGTCACAATGCAC
    1HG
    232 MIR4435- 2492642 GACAAGAATAACTCCCCACTGGGACTGGAGGAGAGGAAGGCA
    1HG CATGGGGGCCCTTGGCAGGGTGG
    233 MIR4435- 2492643 TCAGTCACGTCTGCGCCAGAGCTTTGATGACCCACCTGTCAG
    1HG CCACACTAAGGGCCCTGCCATGAATAAGGCCTCCGTCACTGA
    GGATCCTGTACCCCTCTGCCATAAACTCAGTGACCTGACTG
    234 MIR4435- 2492645 GAACTCCCACTGTATAATTGCTAAACACAATGACAGCTATAATT
    1HG GAGGCACTGAAGGAAGGTCAGGGGAGCCCAGGAGGGCGGG
    GCTGCTGCTGCCTGCTGAGCTGGGAGGGTTGGTGGCACCCC
    TTGCCCTGGGTTGCCATAGCAGATATCATAATCAATTACGGCC
    GTCTTTCATGAGGAACCTGGATCTTTCCCAAGGAATC
    235 R3HDM1 2507381 AGGGGCGGGATTCTGCCAGCCGCGGCTGCCGCTGGAGCCGG
    TGTCCGGGCTGGTGATGGGGTTAATTCCCTTTCGTAAGACTCT
    TACTTGC
    236 R3HDM1 2507382 CTGCCTCCGCGGCTGCTCTTGCAGCCCCAGGGACTCGGGAG
    CCAGCCACAGCAGGCCTGCCAAGAGCGTGGTACTGCTCTCTC
    GTGTGGCTGGCGCCGGTGCCCCGGGCTCCCCCGGCCGCCCC
    ACGGCCGCATCCCCTGGCCTTGCACCAAGAGAATTTTCAGCTT
    CGACCGGTTGG
    237 R3HDM1 2507383 CCCGGGATCAGATTTACACACGTTTTGATTCCTGAGCCTTAGG
    CTGCCAACAAATCTTTGTGGGCTTTGAAGTTTTTTGGTGTTTTG
    TTTTCTTTTGTTGCTGTGACTAGGTGCAAAGGGTG
    238 R3HDM1 2507384 TTGGGTTCTGAGGAAACATCTGAGTTTTGATCATTTCTTCAGG
    GTTTGAGAAGACTATGGTGGCTTAATGATCTTCTGTATTCCATA
    ACTAGTACACCTAGTTACAGAATTGACATAGATACATTCAGGT
    CCTGGAGGAAATTTGTGGTATCTATTAAAAAAATGAAAATTGCC
    AGTCATGTAGTAGTCACC
    239 R3HDM1 2507385 TATTATGCAGAAGATGTGCATTGCCATGCCTTGCAAGTAATAG
    GGTTTTTTTTCTTCTTTTTTGAACTGGTACTTTAATATACCTAAT
    TACATCCATTTGAGTTAGTATTAAGTTTTAATTTCTCAGAAATAA
    AGTAGTGAAAATTGGTAGCAGTTTTGTTTTTCCCATTCTTGAGA
    ATATTACAGTGATAAACAAGGCTTGATAGGTTTGTAAAATACTA
    TTGCTATTTGAATTAAAAAATTTCACTATTGACTTTCCATATTCT
    ATTGTAAATAAGTTGGGGAATTAGTGTGTCAAGGGGGTGTGGT
    AACAAATGGTAATGTAATTTTCAAATTGCTATTGCAGCACCAAA
    CCACAGA
    240 R3HDM1 2507386 TGAGACGTTAGCATCAACATGACTGTATATCATTTCCAGAATTT
    AATTCAATTAGTTATTGGCTGAGGGATGAAATAGAGATGAAAC
    TAAATCCTGGCCTCAAACTAGTTTTGTACCTTATTTTCCAGCAA
    TTTGGTTTTTTTATATCTAGATTTTATCTTTACTATTTTCCCTCAT
    CTTACCCATTCTTAGTCTCCATACACACCTATTAACTTTAATTTC
    CTTTTCTGAGAATTTTGAAAGCCCTATAGTTTATGATCTTTTTTC
    CCTCTTTGCCTTGTGAATTTTATATTTGTGAGTTTTTTCCAAATT
    TCTACCTGTCAGCTCACTTCTTTAGGCAAGGTGTAAGGTTTTT
    GAGCCCCCTTATTTCATTTTTTATTTTTTTAAGAGACAGGGATT
    CACCCTGTCACCCAGACTGGAGTGCAGCGACAGGATCATAGC
    TCACCACAGCCTTGAACTCTGAGGCTCAAGGGAGCTTCCCAT
    CTTATGCTCCCAAGTA
    241 R3HDM1 2507387 GTGTGCAGTGGACCGGTGAACATCACCACCTGAGCTCTGCCT
    CCTGTCAGATCAGCGGTGGCATTAGATTCTCATAGGATTGCAA
    ACCTTACTGTGAACTGCGCATGCAAGGGATCTGGGTTGCGTG
    CTTCTTATGAGAATCTAATGCCTGATGATCTGAGGTAGAACAG
    TTTCATCCCATAACCATCCTCCTCACCGCCTGCACCATCTGGG
    GAAAAATTATTTTCCACCAAACAGGTCCCTGGTGCCAAAAAGG
    TTGGGGACTGCTGCTCTTAGGACAGAAAGAAAGAAGTTCCATA
    ACTAGAGTAAAATATCACCTTACAGTATGAGGTAGCTTA
    242 R3HDM1 2507388 GCAATCAGAACACCTACAGCATTTATCAACTAAGTTCACTGTCT
    TATATGGGTGTGATTTGTGGTCCCCTAAAACAATTACAGTGGT
    AAAGATCACTGATTGCAGATCACCATCACCAGACATAATAATG
    AAAGAGTTTGAAATATTGCAAGAATTACCAAACTATTACACAGA
    GACATGAAGTGAGCACATGTTGGGAAAATGGTACTGATCGATA
    TGCTTGACTCAAGAGTTGCCACAAA
    243 R3HDM1 2507389 AAGTGATAGGATTGTTGCCCACCCAGGACGTTATGGATTCACT
    CAGCATTCATTCATGAAATATTCGTTGATAATTTACTATGTGCC
    GTGTACTGCCTATATAAAGCAGAGAGTACTTGCCCTTATGGAT
    TTTATTTTCTAGTGAGTGAGACAAA
    244 R3HDM1 2507390 AGAAACTAAATCACTGCCTTGTACAATAAAAAGCTCTATGTTGG
    GGTGATCAGACCCAACACCAGGTCATGGGGGCGATGAGTCC
    GGTGGAGTCAAAGGAATGAGAAAAAGACAGTTTGAGAGAGAA
    AGTGGGACCGGGGAGCCTACGCTATTTATTG
    245 R3HDM1 2507391 TGAAAATTGGGCCTTAAGCACATAAAAAGTTTTAAGTTCATACA
    GAGAAATAAGCTCACGCCTGTAATCCCAACACTTTGGGAGGC
    CAAGGTGGGTGGATCACCTGAGGTTTCTCAACCTCGAGACCA
    GCC
    246 R3HDM1 2507392 GCACTTCTCTGACTATAGTTTTTTATATGACTTTGACTCTCAGA
    ACCCTGGTAATTTTTTACGTAGTCTCCAGAAATAACATAAAATA
    ACTTAGATGTTGGCAAGTGTGGAGAAAGGAGCCCAAAATGTAA
    TGCAAGCACTAACAGATGAAC
    247 R3HDM1 2507393 ATGCCTTGGTCGTTTTGTGTCCCTGGGCTGTTGGCAGTGTGAC
    TCTGCTACAGAATACCACTTGGGGAGATCAGCTTACTCAGTAC
    AGGGTG
    248 R3HDM1 2507394 CAGATCTTTCTTCACATCGTGCAGGTAACGTATGAGCATTGTC
    TGATGGATCCTTACAACATTCCTGTATGCTTTTGGAAAGTATGA
    TCTTTGTTTAACAAAATGGGAAACAGAGGCACATGCTATACCC
    AGCTATCACAGAAAACAATAGTTAGAATCCAGAAAACATACTC
    ATCTGGTTTAGTGTGTTGCCCA
    249 R3HDM1 2507395 AGCAGGCACTCCCAATGCCAGACTAATCAGCTGG
    250 R3HDM1 2507396 GAGCTCTATAGAGGAGCAATGCAGAGCATCAGTTTACAGGTA
    CTATGGAA
    251 R3HDM1 2507397 AATCTTGCCATACTTGCACAGCTGACCAAC
    252 R3HDM1 2507398 ATTCAACTGCTAGAGAATGTGAAGTTTCACATTTTAAGCCATCA
    AAGAACCATTGG
    253 R3HDM1 2507399 TGTGCCAAAACAGTCCTGAATGTTCGTGTTGGCCTTAATGAAC
    CACCCCTTAGTGACTCAGTCACCATTCTCCACAAGCCCTACAG
    CCATCCCGG
    254 R3HDM1 2507400 CCTCAGCTGCAAACTATGTAATACTGCTTTTATGGGGATTAAAT
    GAATTAATACACTTAAAGCATTGGGAGTAGTGCTTAGTAAATAA
    TAAATAACTCTTTAAGGGTTTGCTGTTAATATTACCAGTTTCAC
    AGCACATATTGCAATCAGTTATTATCTTGTATATTTTGTCTCTG
    CACTAGAATGTAAGCATTTTAGGTTCTAGGATCCCATCTGCTT
    GGTTCACTCATGTATCCCTATTACCTAGAACAGTGCTCTGTAC
    ATAGTATCCAGTCTG
    255 R3HDM1 2507401 GCGCCCAGCCTAATACTAAGCTTCTAATCTTAA
    256 R3HDM1 2507402 GTCCATTCCAGTCCGGGAATCTACAGTGGTGACAAGGACATG
    GGACTCCTCCTGCCAGATTACAGATGGTTCACTACAGTTGACA
    TCCTGGCTGACAACTGTGAAAAAGAACCTTGGATTATTTTATTT
    TATTTTTGTGGGACACCACAATCCCAAATCC
    257 R3HDM1 2507403 GCTTCAAGCTCCCTGTAGAATTCGAAAATAAC
    258 R3HDM1 2507404 GATGTCTGATACTGTTACTGTAAAAGAT
    259 R3HDM1 2507405 AAGTGAAAGATACAACCAGAGTTGAAAATCTTATCAAATCAGA
    AAACTATGGGAAGATTTTGGTAGAGAAGAATGAACATTGTATT
    GAGAACAATATAGATTTGCAG
    260 R3HDM1 2507406 TCATACAAAACTCACTTCTCAAAATTC
    261 R3HDM1 2507407 TCAGTCAGGAAACGAAGCAAGGCTTGGGCTGAGTGAATTTTCT
    ATTCTACAGGGTATCCAAAGAGGTCCTTTGTTGGCATTTAACA
    GGCCGGTGGACTTGGTCTGGAGCATCCCGGATTGCTTCTCGC
    ACCTGTCTGG
    262 R3HDM1 2507408 CAACAAGGTGGGTCCAAAGTAGTCAGACTTCTTATGTGGCAG
    CTCAGGGGTCCCAGAGAGAATGTTCCAAGAAAGCCAAGCAAA
    GCTGCAAGGTTTCTTTTGACATAGGCCCAGAAGTTCCAGAACG
    TTACTTCAGCTATC
    263 R3HDM1 2507409 CATAGCGACTGTAACGATTTGGAAGGAGGGA
    264 R3HDM1 2507410 CAATGCCACGCTTCTTCGACAATGAAGGCAGTACATAA
    265 R3HDM1 2507411 AATCTTAGCTATTTCCTGTTTGTCAAACAAAGATTAAAAGCATG
    TATGTGGCAAAGCGTGGTGGCTCCTGCCAGCACTTTGGGATG
    CCGAGGCAGGAGGTTTACCTGAGCCCAGGACTTTGAGACCAG
    CCTGGACAACACACGAAGACTTTGTCTCTACAAAAATAAAAAT
    AAAAAAATTATTCATGCGTCACGGTACATACCTGTA
    266 R3HDM1 2507412 CGGCCATTGCAGTCATTTGGACAGAC
    267 R3HDM1 2507413 CAAGCTCAAAGTTAAAGCTAGTTCGGAGCCTTGCAGTGTGTGA
    AGAATCTCCACCACCCCCTGCACCAGAGATATCACAGGAGAA
    CCA
    268 R3HDM1 2507414 TGAGTGTAAGGAAGTTGCCAGTGTCTTTGGTAAACAAGACAGA
    GAGTGCAAAAAGCAAGTGTTTGTCATCCTAGTAAAAACTGCCA
    GTGTGCATCATTTACCCTATATTATGAACACAAATTTTAACTGG
    TATGATGAATTAAGAAGA
    269 R3HDM1 2507415 AATTCAGATCCAGTTAACACAATCATTTGAGAAAGAAGAGAAG
    CCCTCAAAAGATGAAGCAGAAAAAGAAAAGGCCAGTGATAAGT
    TGCCCAGAAAA
    270 R3HDM1 2507416 ATTCCAGTCAAGAATACACTGATTCAACTGGCATAGATCTACAT
    GAATTTTTAGTA
    271 R3HDM1 2507417 CCTCTATAGATGCAAACGTTTTTAAGTTATCCACATAGACATTT
    TTTAACTGTACGGTTTAATGGTTTTTAGTATATTCAATATACAGA
    TAGGAGCACTATCACCACAGTTATAGAACTTTTTCATTGCCCCA
    AAAGAAACCCCATACATTGTAGCTATTCCTATGCTAATAATAAT
    AGTAATACTGATATTGGATGATCCCAACCCTAATCTGTTTTCTG
    TTTCTGTAGATTTCCCTGTTCTGGACATCTCATATGAATGAAAT
    TATATAATGTATGGTCGTTCATGACTGGCTTTTA
    272 R3HDM1 2507418 ACAGTTTTGTGAGTTCAGGTCAGGAGATGAGGCTGGAGCTGG
    ATGAAGACCAGCTCATGCCTGCCTTGTACATATGTTTAGTTCTA
    AGAACAGTAAGAAACCCATGACAGATTTAACAAAGGGAGTGAT
    GTGTGATCACATATGTGTTCTTAAAAGATTGTTATGCATGTTTC
    ATGTAGAATAGATTAGGGAAGATCAGGGAAGATACAGGGAGA
    CAATATACTCCTGCTGTAGTAGTCAAGCCAGAAATCCTGTTGC
    CTGGATCCAGGGTTGTGGCAGTAGAAAAATA
    273 R3HDM1 2507419 CTGATGTGTAGACTTTCAGGTGACCAAAGCAGGGGCTACCAG
    TTCTTCTATTGAAATTGAGAATAATCTGCATAGTGTTTATTTTAG
    GGAATCATTAACCTCTTGGCCTCGTTTTCTTGATCTGTAAACTT
    TGGAAGACAAAACTGAATGATTTGTAAAGCTGCTTTTAGCTTTA
    AGTTTCTGTAAGTTACATTTTTTTTTTCACATGTATATGAAATTT
    CCAATTAGCACAGGAAAATTCTAGAGCCATGTTATGGGTGTGT
    GAGCAGGGAGGTCCTTTGGGGAGTGATACCATTAATTTGTTGC
    AGCTAAGAGAACTAAATAAGACCCTAGTGATCTAAAGGAGCAC
    ATACAGGTACTCCCTAGAGTCCTTATTTATTTTATATGTTGGAG
    GTTTTTGGTTCACTTAGATTTTTATGGGAAAATTTAAAAATATAT
    AATGGCAGTTTATAGAATGGGTTGAAATATCCTCTTCTTCTAAA
    TTAGCGATATAATTAATACTTCTCTGCCATAGTCCCATCTACAT
    ACTAGTATTAGATTCCCATAGAAGTATTCCTGTTGTTACTGGCA
    TTGCATGTTCTTTAGAATACTGTTTCTATGGAGTTCAGCATGAT
    AACAAAGTCCTGAGCCTAACTAAAGATGTCTGT
    274 R3HDM1 2507420 ATGCTGCTGAAATTGGAACAAGAAATTTTAGATTTCATTGGTAA
    TA
    275 R3HDM1 2507421 GACATCTTACCATAGGATGCTATTACACAGAGTAGCCGCTTAC
    TTTGGATTAGACCACAATGTTGAT
    276 R3HDM1 2507422 TGGGAAGTCTGTCATAGTAAACAAAACTAGCAA
    277 R3HDM1 2507423 CTCCAGCCTTGAATCAGTGGTGTTATGGATGTCAACAACCCAG
    TGTCCACTGGGGTGTCTCAATGGAGCGGGAAGTTGGCGATTA
    CAGGGCAGTAAATTCAGGCATCTATAA
    278 R3HDM1 2507424 AACCTTGTGTTTGTCCTCTAGATCACAGTGGAACTTGCAACATT
    TCTGTGGAAGAAAGATGAGTCCACTATAAAATGTATTGCTAAG
    ATTTCATAATCGTTACTTTAGGTCACAACTTTGACTTCTATAAAA
    GAACATCTCTTTTCTAACCTGTTCCAGTTAATGTTAGCAAACCT
    GTGCCCTACTGTAATTTAAAATTAATGGATGCACTTTGAAGTAG
    TCTGTAAGTTTTTAGCTAATTGAATGACAAAATATTTTATTACTT
    TCAGGTATAACACCAAACTAGGTACCATAGGAGTAGCATAAGA
    TACGGCACTGCACTTTCCTTGTCCCAGCATTTTTTCGTAGGTTT
    AGACGAGGCAGTACAGGCTTTGGGTCTAACTGACCTGAGCTC
    CAACTATGGCTTAATCATATGCCTGCCTTTGACCTTGCATATTT
    GCTTAAGCCATTTGAACCTCGGTTTG
    279 R3HDM1 2507425 AAGGATGATAAAGGTGAAGACTTTCAGAAACGTTATATCCTCA
    AGAGAGATAACTC
    280 R3HDM1 2507426 CTAGAACAATTGTAGGATTTGTATAGGTGCAAGACATACTATA
    CCAGTAGTTCATTTGCCTAAAA
    281 R3HDM1 2507427 GAGAATACGTTTGAAAGATGACAGAAGAAGCAAATCTATAGAA
    GAAAGAGAAGAAGAGTACCAGAGAGCCAGAGACCGAATATTT
    TCCCAAGA
    282 R3HDM1 2507428 TTACGTTGTAGGGTCTCAGTCTCCCTTTTATCTATTGATCACAT
    TTATTTTTAATCACATTTGTTGCACATAAGGTCATCTTTTAGAAA
    TATTGAGATCAGTTTTGCTTGTGTTATTAATAGTTTATAAAATAC
    TACATTGCAGTAGTTATATAAAATTTTACAAAAGTTGGAAGCAG
    GTAGACTACAGGAGTCATTAAAAGAATGTTCTCCAGTCTATATA
    GTTTGTGTGATTTTTTTTCCCCAGACTTGTGACAGACTTGAGAT
    TTTTATTAATAGAAATTGCTCCACTGTCTACAAAATCATATACTC
    TAGATGCTACTTGTTAGTTGACTTTCTTTGACAAATAATTTATTT
    CTTCTTTTGAAATAAAGCTAATTGATTTTGTAGGTTAATATCTGT
    TTTCTTCTTCATAAGTGATTATATAAGATAGGCTTTCTAAATGG
    CTAATTATTTTATGCATATATGCCAGAAGAGAATCAATTTGTTTT
    TTGTCAACATCTACTAAGCATCTGTCCTGTAATATGTGTTA
    283 R3HDM1 2507429 CCTGTGTTCCCAAGAGAATTACATTATTGACAA
    284 R3HDM1 2507430 ATGCCAGTAGTACCCAGCAGAGGCGCCAGATATTTAG
    285 R3HDM1 2507431 TGAAGTACTCGGAACCACGACCCTGGAGCAGCACAGATTCAG
    ACAGCTCTCTTCGAAACCTGAAACCTGCTGTAACCAAAGCCAG
    CAGCTTCAGTGGAATCTCAGTCCTGACAAGAG
    286 R3HDM1 2507432 GCAAAAGCATAGGCAGGCTTTCAAAA
    287 R3HDM1 2507433 TCCGGAGCACTTAAGGGGTAATATGTTTCTTGACATGAGGATT
    CACTCTCTGTCCTGGACACAGATTTACAACCATCAATTACCATA
    AAAATTCTTCTCTATTGTGACATAAACTTAATTAGGTAGGTTCA
    ATGAAACATTATCTCTTGATTGAATGCCCATAGGTAATTGGAAA
    TTCTTTATTACTTATTCGTAGTTGGTAGAAGGCATGGTTTCTCA
    CCTAGGATTATTTA
    288 R3HDM1 2507434 AATCAGCTGGGCGTAATAGCACGTGTCTGTAG
    289 R3HDM1 2507435 TAGGGTCATCTACAGGCTCTCTTTCTCACATCCAGCAGCCTCT
    TCCAGGTACAGCTCTCAGCCAGTCTTCTCATGGCGCACCTGTC
    GTCTATCCAACTGTCAGCACTCATAGTTCTCTTTCCTTTGATGG
    TGGCCTAAATGGGCAAGTCGCATCTCCTAGCACTAGCTTCTTT
    TTGCTTCCCTTGGAAGCGGCAGGCATAC
    290 R3HDM1 2507436 TGATCTCTGGTTTTTGACAACAGTATTACAATACATTTAACTTTT
    TTAAGATGACCCTTAAATTACATTTGACCGCCTTCACCCAAATC
    TGCTCCACCAATTTTTTCTCCAAATTATTTAGCAGTCAACAAAT
    ACCCAGGACAACTTGTTTTTAGTTATCTATAACTGTCACACAAA
    TTATCAGTATACTAATTGATTAAAATAATTTTACTTTAGAGTACT
    TTTTCTGCTTGATAGCTATAGACTAGTATAGTCTTCTCTCCCAA
    ATA
    291 R3HDM1 2507437 ATGGGAGTCCAGTTGTGTATAATCCTCCTATGACTCAACAACC
    AGTTAGATCCCAAGTGCCTGGACCTCCA
    292 R3HDM1 2507438 AACAACCAGCAGCTAATCACATTTTCTCACAG
    293 R3HDM1 2507439 GTTGACTTGCCTTTACATATTTGGGACTAAATTCGCTAATTATA
    ATTGAGATAGCCTAAGTATCTCTTAGAACTTTAATATTCTGCCA
    CTAGTGATATTCCACTCACTACTCATAGGAAAAGAGATAACTTC
    AAAGGTTTTTCCCCTGATAAATACTGAAAATATGTTGGAAAGAA
    GGGAATTGTTTTAATCATATGAGCCTGTCTGGTGAGTATTTTAT
    CCCTATTTCACAACAGCAAGAAATGGACAACAGGAGAAATAAA
    AACAAAACTGTGATTGTTCATTGGCCCAATGAGCAAAGTGAGT
    TGTTTTAAGATTCCACAGATTAAGCAGTTAGAAGAAACTGAGAT
    AGGCTGCTCAGGTTCTGCAAGGTACTCTTC
    294 R3HDM1 2507440 GAAGAAGTATGATGATAAACTTGAACTG
    295 R3HDM1 2507441 TTGTGGTAAAAGTGCAACTCAAATCATTATTATCTATCTATGAT
    GTCATAGACAAACAATGTCTATCTTAGTTGACATAGAAGTTCTC
    TATTTAAATTATTGCCTGAACAATCTTAATTCCATTAGTTTATCT
    AACATTTTTAAAGTATTGTCTCTGAAGACAACATGCAGAGATAT
    TGTTCAGAAGGAGATGCATGAATATACATTTTAACTAAGAGTTT
    TCATCAAGTGAGATTCCCTGGGTTCCTCATCTACTTGCTTATGT
    GGCTGTCTACAAGTCACTTAATT
    296 R3HDM1 2507442 TCTGCAGTCCTCTTCACAGCCTGTTCAGTACTCTACAGCCCCT
    TACCCATCCCCGTTCCTGCCAGTCTCACCCACC
    297 R3HDM1 2507443 GATAACCTAGGGTCTCAGTTTAGCCACATGAGTCTTGCTCGCC
    AGCCATCTGCTGATGGTTCTGACCCTCATGCCGCCATGTTCCA
    GTCCACTGTGGTTCTT
    298 R3HDM1 2507444 GTTATATCATGACAGCAGCCCCTCCACCACATCCTCCTCCACC
    GCCACCACCACCACCTCCTCCTCCTCCCCTACCACCTGGGCA
    GCCAG
    299 R3HDM1 2507445 CCTACTGCTGGATATCCTGCCTCTGGTCATC
    300 R3HDM1 2507446 ATGGTTATTAGTTGGGTTCTGCCTCTTTATACAGTGATTGGAGT
    GTCATTAGACCCTTTAAATTTAATATATTTTTGACATGGTATGC
    CATGTCATACCAGATTCAGGTATGCCACATTGCTATTTTTTTAT
    TTGCCCTATCTGTATTTTATTCTACTTTCCTGCATTTTATATTAT
    TTGAACTTTTTTTTTTTATAATATTGAATGCTTTACGAATTTCCG
    TGTC
    301 R3HDM1 2507447 TAGCCTTAAGGTAATATAAGCCATATTTTAAATAATTTCATGCA
    TGATGTAAAGTTTTGACTGTAACCTGTCACATGAGGTCAGGTG
    TGGAGTTTCTTTTTGAGTACTGACATGACATGATGCTTTTGGCA
    TCATGTTGGTACTCAGAAAGTTAAAGATTTTGGAGCATTTCAGA
    TTTTGGACATTTGGATTTTTAAAATACTCGCCCAGGCTCA
    302 R3HDM1 2507448 ATGCCAGCCTGTTATTGCGCTCCAG
    303 R3HDM1 2507449 GCCACTATCACTCCAGCCAACCTCAGTATCGCCCAGTCCCTTC
    TGTTCATTACAATTCACATCTAAACCAACCA
    304 R3HDM1 2507450 GTCTCTCAGGATCTCGAATATGTTCATACATATGAGTTTGCAAA
    CCAATGAGATTAAAAGAGTGAGCAAATCTTAGCATCCTCTGGA
    AAATACCACAGTGTCACGTCTACATGCTAAAGGGTTGGGAGCT
    GTACTGGGAATATCTTAAGCAGTTTGTTAAGTGGCTGCCATCT
    CTTACTGCCATTGAGATTGAAACTGTCTTTGCAGCCTGATAAAT
    CACCTATGG
    305 R3HDM1 2507451 AAACAATTTTGATCTCAGTGTATAAAACTATCTTATTGATTTTTT
    AATGAACTCATTTCTCTGTATGCTTCT
    306 R3HDM1 2507452 TCAGCCTTTTATAACTCTAGGAGTT
    307 R3HDM1 2507453 AAGTTTGTAGCTTCACCATATACATTTAATATTTTGCAATAATTG
    GCCTTGTTC
    308 R3HDM1 2507454 AGCTGTTGGATTCGGGGCCGTAGCACTGTCTGAGAGGTTTAC
    ATTTCTCACAGTG
    309 R3HDM1 2507455 AGCATGACATCAAACGGACCTAATACACCTAAATGCATTTGAA
    GCTACTTGGTCTCGGTTCTTACCAACGATATAATTTAATTTTTTT
    TTCCAAACGATGATGTTGTTGCATACCTGTGGAAAGCAAAATG
    ATTCTGTGAAACTATACTTTTAGTTTTGCAACCATTTGATAACTT
    CAAAGATTATCAATGTATTATATCTTTAGTCTTAGCTTTCCAGAT
    AACCCAGA
    310 R3HDM1 2507456 TAACCTGCCGCCACTGAAATCTGGAGCCAAATATATCTGGTAA
    GTACCCACAGATTTCCTTGAGTTGTATAGACTCTTCCATGGAAT
    AGTTCTTTAAATAGCTGTGAGCAATAAACTCTGTGTGACTGTTT
    TTGTTAGAATTGGTTTTTGTATATGTATATGTTTATTTCAGGCAC
    AGGAGTGAGAGAAGAGGGGATGAGAGATGAGAAGGGATAATC
    AAGTGTGATGGCAATTGCATCTCCTTCCAAATACACCCATGGG
    GCTGGCTTTAGTTGAACTTGCCCACCTACTAAAATAG
    311 R3HDM1 2507457 TCGCCCATAAAACGTAGCAGCTCTCCTTGCACAAAATGTGTCC
    AGGTTAAAGCTGGCACTGCCCTGCTGAGTAAAGTCTGACTTCT
    TGGCAAAGCAGCCTGACTTTGTGGAGAAGACAGCCAGTATCT
    ATGAAAACTCTGCTAGACTAATCTTGTATAGACTCATCTGGAAT
    GTGGCAACAGACTTTTTGAGCAAAAGCAGCCTCCGAGGCAAA
    ACAGCAAAACTAAAGCCCAAAGGGAACATTGGAGATTCACTTG
    GAAATACTCAGGCTGAGAGACAGAACTGTGGGATGTGGAACC
    TGAAATAGTGTCACTATTTGAGCCAGTTCTTCTCCTTCCCAATT
    GTCTTTTGTTATGTTTTAATATTTTTAGAGATGGAGTCTCACTGT
    TTTGCCTAGACTGGAGTGCAGTGGCCCTTCCTAATTGTTTAAT
    ACAATTTATGCGTATAATCTAATTATAGTAAGGCAAGGAAGTGT
    AACTTTGAAATACATCAGTAGTAAACCACGCATCTTGCGGGTA
    GTGGACAAACCA
    312 R3HDM1 2507458 GCCTGAGCGATAGAGACTGCATCTGAAAACAAACAAACAAAAA
    GAATAAGATACCATTGGAAATTTACTCATGCAGCTTTCATGAT
    313 R3HDM1 2507459 ATGAATTCAGAGCAGGATTTAACTCATTGTACCATTACAG
    314 R3HDM1 2507460 TACCAAGGAATAGTTGGAGTTCAGCAACCCCAGAGTCAGAGC
    CTAGTCAGTGGCCAACCCAACAGCATTGGAAATCAGATTCAAG
    GAGTGGTCATCCC
    315 R3HDM1 2507461 CCATCAGACTTATCAACAGCCTGTTATGTTCCCTAATCAGTCTA
    ATCAAGGATCTATGCCCACAACAGGAATGCCTGTTTACTATAG
    TGTCATTCCACCTGGTCAACAA
    316 R3HDM1 2507462 AGTCTTTGGAATTACCCGCAGCTTGGACCCAAATGAGGCAGAT
    AAACTTGAAATAAGGTAGATGTAAGCTGACAGTAGTGATTGGT
    CACCATGTGACAAACTAGCATTGATCTGTTCCAAGTATAGAGT
    ACCAATGTGAGAAATTGAATGAGTTGTACGTGAAGCAGGGAAT
    GTGTATTCTGTCAGACTCATCTTGGTACATTTTGGA
    317 R3HDM1 2507463 CAGGGTCTTGATCCATACAGTCTTACTATGTTTTAGATGCTAAA
    TGGACTCTAGTAGCCTTCATTTTATTACAAGATTATAAGGAATA
    AGATTCCTATAAGAACACAAAGTGAGTCTTTGTTTTGAAAAATG
    TCTTACTTAGCTTGGGTTGCTTAGCAAAATTGTTTTCTTACAGA
    GGTTCCTTGTGTAGAAAGGTAGAATTTGAATTATTATGTCTACT
    TTCAGCTCATCCTTTCAGTTCACTGAGGCAACTTTGTGTTTGGA
    TTGGATTGTGTTGTTACTTATCATTATGAAGATTGAGCACAGCC
    TGATACAAGTCAACATATACTGTCACTTTAAGCGAGCAAAGTA
    CTAGTCAGGGACACTAATTTTACAACAACTCATGAGATTTTTCT
    CAGTCCTTAGTGTGGAGAGAAAATTAGTTTGATACCAGCAGCC
    TTCAAAAGTGGGCAAGTGAGTTGGATATCTTCAAAATGCTCTC
    ATTTTTACCGGTTCTTCTCCTATTTTCCCTTTCATTTTCACTATT
    TTTATCTTGAAATTCAAAACGATAATACCTTTGTCTTTGATCTAT
    ATTCTCAAAGGGGTAGCATACAGACAGGAACTTGAAAAGACTA
    TAGCCTTTTTTTAAGAACCTTTAAAAAATGTTTCACAGAATCTTT
    ATGAAATTATGAAAAAGAAAACCTACTTTTAAGTCTTTTTCCCTT
    TTTTCTGTCCACAGTCTGTTTTTCCTCATTTTTGTATCCTAGTAT
    TTCTCTAGTGTCCCTTTTGTCCTACTTGTGATACCTCTCTTG
    318 R3HDM1 2507464 TTTTGGGTGGCAGATAACATTTTACTTAATTGGGGTTCAAAGTT
    AGTGTTCTTTGTCATCAAGTTGATTTCAGATGTTCATCTGTAAA
    AACCATTCTTAGCTTGGAGGCAATACAGAAGCAAGCAGTGGTC
    TGGGTTTTGCCTATAGGCCATAGTTTGCCAACTCCTGTACTAG
    ATGGTTGATAGCCAGCAAAAAAAAAAGACAAAGAGGCAGTGG
    TCACAAATGAAGACCAACAACTTAGGAAAAAGGAGTGTGGAAG
    CCAACATACAAGGAGATTT
    319 R3HDM1 2507465 TCAGCCGACTTAGAAGCAATACAAGCCAGAAGACAGTGGAGC
    AACATCTTTATTTGAAGAAGTGAAAGAAAGAAAACTTGCATTCT
    ATACCTGTAAAAATATTTTTCAGAAACAGAGATTTCAAACACAC
    AAAAGCTGAATTAATTGCCAGCCACCTCGCACTGTGAGAACTG
    TTAAAGGAAGTTT
    320 R3HDM1 2507466 AGGCAACTTTGGTGAGGCTTTATGGTGTGCATATACATAAAAC
    TCTTTAAATTATATACTTTATGTGTGGTTTATTTTCTATAAATTAT
    ACCTCAGTAAAACTATAAAATAATCTGAGTCTTAAATTTTTTCTT
    AGAGACTGGTTCTTGCTGTCATTTAGGCTGGAATGCAGTGGTG
    TGATCCTGACTCACTGAGGCCTCAACCTCCTGGGCTCAAGCA
    ATCCTCCTGCGTCAGCCTCCCAAGTAGCTGGGACTACAGGTG
    CACGCCACCACACCTGGCTAATTTTTTAATTTTTTTTAAAGATA
    GGATCTCACTGTATTACCCTGCTGGTGTCGAACTTTTGGGCTC
    AAGCAATCCTCCCACCTCAGTCTCCCAAACTGCTGGGTTTACA
    GATGTGAGCCACCTTGCCTAGCCTTCTTTTCTAATAGTTTAAAC
    AAAGACTAGTTTTGGATAAAGTGAAAAGAAATACTGTAAAACTA
    ACAAATTATTAAAAACAAGAGTAAGAATTTGTGAGGTTAAGATA
    GGCCACAGGGCATTTAATGGAGGAATAAAGGTAGACTTGAAC
    TAACTGTAAAACCTGTTACAGAGTCATATTGAAATGTTAAAATT
    TAATCAAAAGTGTTTTTTTCAAAAAGCAAATGACTAAAAACTCC
    TTTCAGCCAGAGGTGAGAGATCGGGGGGAAACAAAAAAACAA
    TAAAAAGAAAGTCCAAATACCTATGTTGCACCAGCCTGACCAA
    CATAGTGAAGCCCCACCTTTACTAAAAATACAAGAAATTAGCT
    GGAAGTGGTGGCATACTCCTGTAATCCCAACAAAATACATGTA
    AAACCTTTATGCCCAAAACCATCTTGTGATGTGGAAGATTTGTA
    CTCCCTATGGTTTATATCTTAGAACAGATGTCAGAAAACTACAG
    CCCACAATCAAAGAATGGTTTTTAAATTTGTAAAGGATTATTAT
    TTTTTAACTCCTAAGTGACCATGTGTTACTCAGAGTTAAAATAT
    ATACTAGCTGGCTCTTGCAGAAAAAGTTTACCAGCATCTGCCT
    TAAAAAAACCTTGGCAGATAGGTATCAGAGACATGTTTATGAA
    TGTTTGTAGCAACAATGTTTAGCCTAATACTGGAAGTAATCCAA
    ATAAAATGGAATAGAATGTGTAAGTATATTTTGATGTATTCATTT
    CAGACACTACTATACAACAAAGAAAATTACTAAAGTACAACTAC
    TTGTATCCAATTGGTTGAGTCTCACAGA
    321 R3HDM1 2507467 GTTGGACAAAGTGGGTCACGCCTGT
    322 R3HDM1 2507468 AGGCAGGGATGCTTCTAAGATACTAGCAATGTTCTGTTTCCCA
    ATCTGAATGAAGTTACATAGATAATTATTTTGTTATTATACTTAA
    TTTAAACTGTAATATATTTCTAAGCACTCTATATTCGTCTGTTCT
    CGCATTGCTATAAAGAAATGCCTGAGACTGAGTAATCTATAAA
    GAAAAGAGGTTTAATTGGCTCACAGCTCCGCAGGCTGCATAG
    GAAGCATAGTGGCTTCTAGGGAGGCCTCGGGAAACTTCAATT
    ATGGCAGAAGGCAAGAGGGAAGCAGGCACGTCTTACATGGCT
    GGAGCCCGAGGAAGAGAAGAGTGGGGGGAGCACCACACACT
    TTTTAAAGAACCAGATCTCATGAGAACTCACTGTACAGTACCA
    AGGGGGAATGGTGCTAAACCATTAGAAACCACCTCCATGATC
    CAGTCACCTCCCAGCAGGCCCCACCTCCAGCGTTGGGGATTA
    CATTGTGAATGAGATTTAGGTGGAGACACACATCCAAACAATA
    TTACACTCAGATAGATAGATAGATAGATAGATAGATAGATAGAT
    AGATAGATAGATAGATAGATAGATAGATAAGATAGATAAGATA
    GATTGATTAGATAGATTAGATAGATAGATAGATAGATAGATAGA
    TTAGATATTCCAAACCCCAAAAAATAGCAAAATCATTCGAAGAG
    AGGCCTAAATATATAGAAGACTTTAGGAGAAAAAAAGCTAACA
    GAATGGGAGGAGAGGAATTGAAGACAATAAATAGAGACAGCC
    TTTGAAGAGAATTGCTTTCATAAGGATAAGCGTTGAATTGGATT
    CGTATATGGAGAGGATGAAGTCAAGACAGAGGATCCTTTTTTG
    ATTGAAAGATAGATGCATGTGTTTGTATGCTGAAGGGAAAGGC
    TTAGTAGATACAGAAGATTTGCCTCTGCAAGGGACAAGAGAGA
    GAGTTGTAAGGTCCCCAGGGAGGGTGAGAGCCACCACAAAAA
    TGGAAGCGGGTTAGCCTTAGATAACAGTGCAGAGGATTTCAT
    GGGCAGTAAACGAGGACAAGGAGAGTATAAGGATACAGATAT
    GGGTAGATGGATAGATATGGCAGCAAGAGAAATTCTCTTCTGA
    TTGCTTTGCTTTTCTCAGTGAATTAGTCAAGATATCAAGTACAT
    TATCAGAGTAGAAGAATGTTCTAAAGTTTTGTAAATGTAGAAAT
    CCATTACAGCTATATTAAGACTAATATTCAAAGGAAAGAAGCAA
    GATACAGGGGAAATGTGACAAGTATGCCTAATAAAAGCTTATT
    ATATAGAACATTTTTATCACTTCTCTATGTTCTAAGATGGTAACA
    GTGAGACTACAAGTAAATAATCCATAGAGATAAATTGTTACTCG
    AAGAAAACTGATAGTAAGTTTTCACATGGGAAAATGTTGTCTTA
    CCAGCAATCCAAAAAATGAGAATTAAGGCAACTTGAACACAAA
    AAGTAGGCTAAAACATATAGTTAGCAATACTGTGCATAGAGAC
    GTTTAAACATTACTGGTTGCTAGGCATATCAAGCCCATTTTTCT
    ATAAATCAGTCGGGATATTTAACAAAATGCAAAATTGCTGTACT
    TTTAAATTCTACCTCTAAAATTTTATCACAAAGATAATCCACCC
    CAGAATTTAAATTGTGGCTAAACAAATTATAACAGTGCTATTAT
    TAACATAAGAATCCAAATAAAAAGATGCAAAAAAAAAAACATGG
    AGTAACCTGGTAACCTTTGAATAGTTTAAATTTTCTTCTCCATTT
    ATTTTTCTGCTAGGCTGATTAAGTTTAGCTTAAGTCATAGTGAG
    ATTTACTTAGTTGTCACAGACCGTTTCTCAGATAGTGGGACCA
    GTGAGTTTTAAAGGTGTTTGTTCTGTGTTAATTGCTCCAGTATC
    TTCAATTCAGAAGAATAAATGTTTGATATTCAGGCTGCTATAGT
    TCACAAATGGATTTTATTGATGACTTACAGCATTTTAAGTGAAT
    AGAGCACATGTCTATTAAGTAATATTATTAAGTTCAGGAAGCTT
    GCTTAACTGCCATTGACAATAAGATGTAGGGTGGTTTAAAAAG
    GCAGAAAACCAAATGACTTAACACACCTTGACAACTGTTCATA
    AATTTTCAAAGACATCGCTTCTAGTAGTCACTAAAAGCTGTAGT
    AGATGTATGACTTGCTTTTCAAATGAATCAATTATTGCTTGAGA
    AGAATACACTTGTTCCTATTCTCCCATCTAAAAAATAATTTGAA
    ATAGCAGCCATGAAATATTTACAAAAACATAAAGAGAAAAGAC
    ACATGATGGCAGTTTATTTTCATGTGGAATTTCCCATGCTATTA
    ATTTTCCTAAGTCTCGACCTTTTGTGGGTGA
    323 R3HDM1 2507469 CAGGAGCATCAGAGACATCTTTGTG
    324 R3HDM1 2507470 GGTATATATACCCTCACCACAAAAAATATATATAAAATGGAAAT
    TACTATGACTTTGAGAAAGCTTATGAGGCAGAAAGTTGGTGTT
    TTCTTCCAGAGACTACAAGCCTAGTTGAGCATCTGACCTGCAA
    ATGAATTGGTTATT
    325 R3HDM1 2507471 TCTTCAGTAGGTTACCTGCAACATCCAGGATCAGAACAAGTAC
    AATTTCCTCGAACCACTTCACCATGCAGTTCCCAGCAGCTTCA
    AGGCCACCAATGT
    326 R3HDM1 2507472 TGATGATGCAGCTCAGTGTACCAAACAATCCACAATCTTGTGC
    CCACTCACCCCCGCAGTGGAAACAAAACAAATATTACTGTGAT
    CACCAGAG
    327 R3HDM1 2507473 TGATACCTGATACCAGTGGGACATTTTACTTGACAAATTGGCC
    CTGTTACTTGAATAGATGGCATTTTGAAATAGGAGCTTGGTCT
    GTTATACATTAAAAGAGACTCAAGAGGTATAATATCAGATATAA
    TGTATGGATCTTATTTGGATATTGAATGATCAAAAGACATTTTTT
    AAGGCCAGGCGCAGTGGCTCATGCCTGTAATCCCAGCACTTT
    GGGAAGCTAAGGCAGACCTGGAACGCAGGAGTTCGAGACCA
    GCCTGGGTAACATGGTGAAACCCTGTCTCTATAAAAAATACAA
    AAAATTATTCGGCCATGGCAGTGTGCA
    328 R3HDM1 2507474 GGCCATCTTGGCTATGCCAGAAAGTAAGGAAGGGATGGAAGA
    AAAATAGGGACGTCTTGAAGAATACAGGATCAGGAGTGGAGG
    TTTGGGGCATAAAACAATGATAGAAATGAATGATCATCCATAG
    AATAAAATAAGAATTCATGAGTCCATACTGATAAAAATCAATAA
    ATGGAAAATGAAACTGTCTTACCTTAGTGTAATATAAAGTGATA
    AATGTAGAATCGTGAAATTAAAAGATCACCACCAAGAAAACCA
    TCAGGCAAGAGTCACCACTAGAGGCTACAAAA
    329 R3HDM1 2507475 AGCCCTCAACTCAGTAGCCCCATTATTTCACCAGCTCAGTCGC
    CAGCACCAGCTCAGCTGTCCACCCTGAAAACTGTACGTCCCT
    CTGGACCACCACTTTCCATCATGCCCCAATTTTCTAGAC
    330 R3HDM1 2507476 GAGATTCCAGGTATCCATTACTTGGCCAGCCACTGCAGTACAA
    TCCTCCTGCTGTTCTGCACGGACACATT
    331 R3HDM1 2507477 AAGACAACTAACCTCCTAGGCTTTGTTGCAGAACATCATAGCT
    CCCTCAGAGT
    332 R3HDM1 2507478 TGAAGGACAGGAATGCCACTGCCACAGGCAGAATCCAGAAGG
    CCTGGGACTGATTTTCTTCTGCCAGAGTGCAAAACCCAAACTA
    333 R3HDM1 2507479 CATTATTAACGTTGTTTCTCAACTATTTGTGGGTTTTCAG
    334 R3HDM1 2507480 GAAGGAGACAAGCTAAAAAAGCTGCATCCA
    335 R3HDM1 2507481 GAAGGTCTTGGAAATTACTGAACTACCAGATGGAATAACTCGC
    ATGGAAGCTGAAAAGCTTTTTGGGGAACTCTTTAAAATTGGCG
    CCAAGATCCGGTGGCTCCGGGACCCCCAGTCCCAACCACGTC
    GTCACCCCCTCTGCTGTGGCAGTGGGGACAACACTGCCAACC
    CTGAACGCTCTAAACCCAGTGACTTG
    336 R3HDM1 2507482 GACTCCTAGGATGTGTGTTCATGGCATTATAGCTTTTGAAGAA
    AGGCCAGTGATCCAGCAAAGGGGGAAAAATATGCATTTCACC
    CCACATGACTAGGAATCCACATCAGAATGATACAGAGTTAGCA
    GGTTTTTCTAAGGAAATGCCATTCAAATGCCTCCTAACTTTTAT
    AGTTATTTTGTTTTATATTTCTAAATTCTTGTATCAGATCCAAAG
    CTCTATTGTACAGCAAATTATTCTTCAAAATGATTATAACCAGTT
    GCACCCTGTATTTCTTTTTGCAGCCAGCACAATGTGACCCAAC
    TTAAAATTTGGGGGAAAAAGAATGCAGGAGTGAAATAACCAAG
    TCAAAACCATGTACTATCTCCTTGGGGGTTAGGGATGCTAAGA
    AGAGCCCACAAATAGAGGATTACTCTTCCCCTGAATCTCTAAA
    CTCAGAAACAATTACCAAAAAATACATAACTCTTCCTTGTAGGG
    CCCTTTCCTTATTCATTTAGGTAGTGTGAACATTAAGTATAAAA
    TAAATTATGTTCTTAATGCCTCTTAAACCACTTACATTCAAAGG
    GGAACAGAAATCATTCTAAGCAGGAAAATACTTCCACTTTTTTT
    TTTTCAAGTATCTCTCTAATAACTAAATGCCACTTATTTGCATTC
    TCCTTGTGGATTTTTTGTCACCTAAGGAAATGCATTTGATGAGT
    GCTGGAAACTTCTTAAGTGCTTTACAGTTTGTTTTCATTGTTTG
    CAGCGGATCACTGGACATCAAAGATTCATTGCACTTATGAACA
    AGGAACCTTCTTTTCAATTTCTGTGTAATTTGCAAGGCTGTACA
    ATGTGTGCTGATGCAAGCC
    337 R3HDM1 2507483 TCAGTTCAAGAGAATAAATGTTTAC
    338 R3HDM1 2507485 ATCTTCACTGCTGTTCAACATTATAATGGAGGTATTAACCAATA
    TAGTTAGATACATCGATTTAAGGCATAAGAATGGGTAAAGAAG
    AAAGACTATCTCTGCAGATTATATGATAACGGGTTGAGCATCC
    CTAATCTGAAAGGCTCCAAAATTCAAAACTTTTTAAGCAGTCAC
    ACGATGCACAAAGTAAA
    339 R3HDM1 2507486 AGGTACAGTAGTTTCTTGTTGGAATAA
    340 R3HDM1 2507488 TTGTTGAGAAAAGGTTACCCTCTGACAC
    341 R3HDM1 2507489 GCCTAGACAACATAATGAGATTCCATCTCTATAAAAAAATTAAA
    AATTAGCCAGGTGTGGTGGTATACACCTGTAGCGCT
    342 R3HDM1 2507491 TGACTCTCCGGGTCACGACGTTAACCAAAAAATAAGACAAAAA
    GAGAATATATTCTATATGATTCTAATTATATGAAATCCAGCTGC
    AGACAAACTAATCTGTTATGTTAAAAATCAGATAGTAGTAGAGA
    TGGGGTGTGGAACTGACTGGGAAGGGACTGGAGGGAACTCTT
    CCAGGGATGGAAATGTTCTTTAAGGGGGTGGGGGAACAGGGT
    ATGGTTACACGGACTTTTACAGTTGTTAGAATTCATCAGATTCA
    ACACTTAGAATGTTTATTTTATTGATTGTATTGTATGTTAATTAT
    ATCTCAATTTCCTTAAAAACTTACACACACACATATGCATGAGT
    CAGCCCACACATGTAGAAGA
    343 R3HDM1 2507492 ACAGTCTGGTATGAATGCCGCAGGAGGAACACCTAGCCCAGC
    CTATTAGGAGGGGTCTTTGTACTGCTGACTATAATCTTATCTC
    344 ACO20571.3 2521178 AAGGCAACTGGTCTGATTTTTCAGGTAAGAACATATGAGAGGC
    AGGCTGAGACCAATTTTCTACCAGGCCAGCTAATTCATCACAA
    TGACAAGCTATGGGTCATATGCTTTCAGGAACCAGACACTGGA
    ACATGTCGTCTGATGTAC
    345 ACO20571.3 2521179 GAATCCAATGGGGAGTAAGAGAAAGTCCCTTTTCAAGGAGCT
    346 ACO20571.3 2521180 CATGTGTTCGGAGACAACCAGAAGCAGCAATGCTCAAAACCA
    CAAAACTCTGGATTGCCGACTCTGCACATCCTGGTTCCTCTAG
    ATACAGTTCAGTGGCACATTCACAAATAAACGTTTTCAAAAACT
    GCCCTCAGGCAGTTCTAGAGAAATGCTTTGACTTGCCTAATGG
    TATAATGTCAAGAAAGGAAGACGAGCACTGATCATTCATACTC
    ATTATTACAGTCACAGGGCACTGTCTGACTTGACAGATACAGC
    CGAGCAGTTAAAAGGTTATGGGAATTTAAGTCCATTATGGTCA
    TACGATTCTTATGGACCCAGAGATATGAAATTAATCAGCCACA
    TGTGTAGGGACAAAGTT
    347 ANO7 2536218 CCCGTTTTGCCAGCCCAAGACTAGGAGCCACGGCACCTGTCC
    T
    348 ANO7 2536219 CGGGCACTCACTGGATGGACAGACAGACGCCTGCTGTGCCA
    GGCCTGCCAGACGCTCCCGCCCCGGCACTGGTTTCTTCCTGG
    AGCTCGTGGCTGGCTAGGGGGTTCTCCATGTGCTCATGGCCA
    GGAGAGTCTGCCGAGCCAGCCCAGCCCCATTCTACTCCGAGT
    CGAGTCTGTA
    349 ANO7 2536220 ATGCTGCGGCGACGGGCCCAGGAAGAGGACAGCACCGTCCT
    GATCGATGTGAGCCCCCCTGAGGCAGAGAAGAGGGGCTCTTA
    CGGGAGCACAGCCCACG
    350 ANO7 2536221 CCAGGTGGACAGCAAGCGGCCGCCTGCAGAGCTGGGAGTCC
    TGCCAAGCCCCGGATC
    351 ANO7 2536222 CTGAAGCTAGACAGGCAGCAGGACAGTGCCGCCCGGGACAG
    AACAGACATGCACAGGACCTGGCGGGAGACTTTTCTGGATAA
    TCTTCGTGCGGCTGG
    352 ANO7 2536223 TGACCCATGACCTTGCCGCATGAGGCCTGAGGGCATGGTGTC
    CAGAGTCCCAGAGCAGATCAGGCCCCAAAGTCCTGCTGGACC
    CCCCAGCCACCGTGAGCTCCTCCGTGTGGCTAGGGAGCTGCT
    GTCCAGAGGCGGAGGTAAACATTGATCCCTCCTGCACACTCA
    GCTCTCTCATGGAAGTCGGAGCCCTCAGGGTCACCTGAAAAC
    TCT
    353 ANO7 2536224 TTGCCATTCACCTGTCCCGTCTCCAACATTAAAGCTT
    354 ANO7 2536225 TGTCGAGGCCCGGTTGGCTTTCAGAGGCGTATCCATGGGAGT
    AGGTGTCATGTATCAAATAGGAGATTCAAAGTCAGCTGTTACC
    ACGGCTACAGAAATGCCAGTCTTTTCCTAAGAGTGCGAA
    355 ANO7 2536226 AGGACGGGAACACCACAGTGCACTACGCCCTCCTCAGCGCCT
    CCTGGGCTGTGCTCTGCTACTACGCCGAAGACCTGCGCCTGA
    AGC
    356 ANO7 2536227 AGTTACCCAACCAGGCCTCCAACTGGTCGGCCGGCCTGCTGG
    CATGGCTGGGCATCCCCAACGTCCTGCTGGAGGTTGTGCCAG
    ACGTACCCCCCGAGTACTACTCCTGCCGGTTCAGA
    357 ANO7 2536228 CTTCCTCGGGAGTGACAACCAGGACACCTTCTTCACAAG
    358 ANO7 2536229 TATGGCCACGAGAAGAAAAACCTGCTTGGGATCCACCAGCTG
    CTGGCAGAGGGTGTCCTCAGTGC
    359 ANO7 2536230 TTCAAGACGCCCCCAGAGGGCCCGCAG
    360 ANO7 2536231 GCTCCACGCCTCAACCAGCGCCAAGTCCTTTTCCAGCACTGG
    GCGCGCTGGGGCAAGTGGAACAAGTACCAGCCCCTGGACCA
    CGTGCGCAGGTACTTCGGGGAGAAGGTGGCCCTCTACTTCGC
    CTG
    361 ANO7 2536232 CTTCCTGGTGTTCTCAGACATACCC
    362 ANO7 2536233 GGCAGCAAGGACAGCTTCGAGATGTGCCCACTTTGCCTCGAC
    TGCCCTTTCTGGCTG
    363 ANO7 2536234 CCGGCTGTTCGACCACGGCGGCACCGTGTT
    364 ANO7 2536235 CTGCTGGAGTACTGGAAGCGGAAGAGCGCCACGCTGGCCTA
    CCGCTGGGACTGCTCTGACTACGAG
    365 ANO7 2536236 CGAACCCCATCACGGGTGAGGACGAGCCCTACTTCCCTGAGA
    GGAGCCGCGCGCGCCGCATGCTGGCCGGCTCTGTGGTGATC
    GTGGT
    366 ANO7 2536237 TGTGCCTCGTGTCTATCATCCTGTACCGTGCCATCATGGCCAT
    CGTGGTGTCCAGGTCGGGCAACACCCTTCTCGCAG
    367 ANO7 2536238 CATCGCCAGCCTCACGGGGTCTGTAGTGAACCTCGTCTTCAT
    CCTCATCCTCTCCAAGATCTATGTATCCCTGGCCCACG
    368 ANO7 2536239 GCCAGAACGTGACTTTCTCACTCACTGACACACATGGCCCTCA
    TTTCTATT
    369 ANO7 2536240 AAATGCACCGCACCCAGACCAAGTTCGAGGACGCCTTCACCC
    TCAAGGTGTTCATCTTCCAGTTCGTCAACTTCTACTCCTCACCC
    GTCTACATTG
    370 ANO7 2536241 CCAGGCAACTACCACACCTTGTTTGGAGTCCGCAATGAGGAG
    371 ANO7 2536242 TCTTCCATTCGAGCTTTGATTTGCAGCAATTCCTCCCACCACC
    GGCTATTTCCATCGCCCAGCCAGGG
    372 ANO7 2536243 TGGAGGCTGCCTGATCGAGCTGGCACAGGAGCTCCTGGTCAT
    CATGGTGGGCAAGCAGGTCATCAACAACATGCAGGAGGTCCT
    CATCC
    373 ANO7 2536244 TGGTGGCAGAAGTTCCGGCTTCGCTCCAAGAAGAGGAAGGCG
    GGAGCTTCTGCAGGGGCTAGCCAGGGGCCC
    374 ANO7 2536245 TGTGAGGGTCTGTTTGACGAGTACCTGGAAATGG
    375 ANO7 2536246 GAGCAGGTTTCTGCCCCAACGCCTGCCCTGAGTTAGTTCCTG
    AGCTCACCGAGCCGGAGAAGGCCCGTGACCAGCCAGAAGCA
    CGGAGCGCAGGGC
    376 ANO7 2536247 TGAGGGCGGACGGTGGCGGAGAGCCCGGCCGTGACCC
    377 ANO7 2536248 CTGCAGTTCGGCTTCGTCACCATCTTCGTGGCCGCCTGTCCG
    CTCGCGCCGCTCTTCGCCCTGCTCAACAACTGGGTGGAGATC
    CGCTTGGACGCGCGCAAGTTCGTCTGCGAGTACCGGCGCCC
    GGTGGCCGAGCGCGCCCAGGACATCGGCATCTGGTTCCACAT
    CCTGGCGGGCCTCACGCACCTGGCGGTCATCAGCAA
    378 ANO7 2536249 CTTCTCGTCCGACTTCCTGCCGCGCGCCTACTACCGGTGGAC
    CCGCGCCCACGACCTGCGCGGCTTCCTCAACTTCACGCTGGC
    GCGAGCCCCGTCCTCCTTCGCCGCCGCGCACAACCGCACGT
    GCA
    379 ANO7 2536250 AGAGTATCCTGTTTGGGAAGAATTCCCATTTCAGGCACCCTCG
    ATGAAGAGCCAGGCCAGGAACATGGGATGAGAGAGCGAAATG
    GTGGAAAAAGGGGAGATAGGCTAATTCCAGA
    380 ANO7 2536251 CCTGGCTGCGCGCACTGAGTCCTGTGTCTGCTG
    381 ANO7 2536252 GTATCGGGCTTTCCGGGATGACGATGGACATTATTCCCAGAC
    CTACTGGA
    382 ANO7 2536253 TCCCATCCATGGCATGAGGCCCCGACCCTGTGCTTTGCCTAAT
    TCGAGCACGTG
    383 ANO7 2536254 TTGGTCAAATCAGAGCTCTTCTCTGCACCTGCGTTTTCCCTGC
    CTGGCCTCATCCCTGGGTTGTGGTGTGGACATTGTGGGTGTC
    TCCACAGGAGCCCCAGGGCCACGAAAGCTGGGGTGGC
    384 ANO7 2536255 CTGGCCCTGTGAAGGCCACTCTGGGCGTTTGGGTG
    385 ANO7 2536256 ATGTGGTTTTCTCCGTTGGCCGCCTCCTGGACCTCCTGGTGC
    CTGACATCCCAGAGTCTGTGGAGATCAAAGTGAAGCGGGAGT
    ACTACCTGGCTAAGCAGGCACTGGCTGA
    386 ANO7 2536257 TGAACTGTACAGCCCAGTCTCGGCCCTCCCCCCAGCCCTCTC
    CCTATCCTTGTCAGTGGCTGCTCTACCTCCGGACACTGAGTCA
    CAT
    387 ANO7 2536258 ACGGAACAAAGGATGAGCAGCCCGAGGG
    388 ANO7 2536259 CGTGCACTCCCTGAGGTCACAGGGCCCTGCCCAGCCGCCCA
    CTGTGCCTCGTGGCCATGGCCTGCTCCTGGCCCTAGTCTGAC
    TTGTCCCTGC
    389 ANO7 2536260 GCTCCCACTGGACACCCTTCACGGTTCCCAAGGCCAGCCAGC
    TGCAGCAGTGACGCCTGGAAGGACATCTGGTGGTCCTTAGGG
    GAGTGGCCCCTCCTGAGCCCTGCGAGCAGCGTCCTTTTCCTC
    TTC
    390 ANO7 2536261 TGTGTGAACCGCTGGCTGCTGTTGTGCCTCATCTCTGGGCAC
    ATTGCCTGCTTCCCCCCAGCGCCGGCTTCTCTCCTCAGAGCG
    CCTGTCACTCCATCCC
    391 ANO7 2536262 TTCGAATGTTTCAGAGCGCAGGGCCGTTCTCCCTCGTGTCCTC
    TGGACCCACCCGCCCCTTCCTGCCCTGTTTGCGCAGGGACAT
    CACCCACATGCCCCAGCTCTCGGACCCTGCAGCTCTGTGTCC
    CAGGCCACAGCAAAGGTCTGTTGAACCCCTCCCTCCATTCCC
    AGTTATCTGGGTCCTCTGGATTCTTCTGTTTCTTGAATCAGGCT
    CTGCTTTCCCCCTAGCCACTACAGGCAGCCTCTGACAGTGCC
    GCTTTACTTGCATTCTGCAGCAATTACATGTGTCCTTTTGATCC
    TTGCCCAACTTCCCTCCCTCTCCCAGCTCCTGGCCCCTGGCC
    CAGGGCCCCTCTTGCTGTTTTTACCTCTGTTCCTTGGGGCCTA
    GTACCCAGCAAGCACCCAAATGGGGGAGGTTTTGGGATGAGA
    GGAGGAAACGTGTATACCTGTAACATCTGGTGGCTCTTCCCCC
    AGAAGTTTGTGTTCATACATAATTGTTTTCCACGCTGGATCATA
    ATGTGACGTGCAGTTCTGCCCTGTGCTGGGGAGCCACATGAA
    GCTTCCCCTGGCTAACTTGCTACCCCGCAGCAATCCCAGTGT
    GGCCGTCTGCTTGCTAAAAAATG
    392 FTH1P2 2545844 TCACTACTGGAACTGCACAAACTGGCCACTGACAAAAATGACC
    C
    393 MIR4435- 2570866 GGAAGTCCAGCCTTACCAACTTGTGAACCTTGTCTGAAGGGA
    1HG GCCAGGGCCTGCCAATGGAACCACCTCCAGGAGCTGCAACTG
    CTGTTGTCATTAATACCATTGTGTCTATTTTTTGAGAGAGATAA
    ACTTTTCATGGTGTTACATTTTGGAAAAAAAAAAAAAAGACTAG
    GTGAACAGTCAGGTAGGAAAGCAGCATAACAGTCCCTTAAATT
    CTGATCATGTAGGACATTCTTCTTTGCCCTGGGCCTGGGAAAA
    TGCAGCATGTTCCAGAGCAAAAGTCCTAATGAGGGGAACTAAA
    CCAGTGGGACCCAAACCAATGTCCTGGCTCACTGAGGACCCG
    TTAGAACCAAATCTCTGGGTGTGGACAGGCTCCCATACTTTTC
    AAAAATTCCCCTGATGACTAATGAACAACCAGAGGTAAGAACC
    AGTGGCCCAGAGGAATAACCAGCCCAGCTGTTGTACGAGCTC
    GCTAAGCTGGCTCAGGTCAATGTTGAATTCTCTGCTAGGCAGC
    TCCTCATAAGAACTGGCAGAGATGGTTCTTACACAACAACAGG
    TGACAACTCCAGACTCTGCCGGAAGTTCCAGGATCTGGGTTC
    CCGGACAATGCATGACAC
    394 MIR4435- 2570867 GGTTATCTTTCCTCCACTCGAGGGATTGAAGCTAGGCTGTCCC
    1HG ACGGCACCGGGCTCGTGGC
    395 MIR4435- 2570868 CAAAGCCACGCATGCAGAGAGGTTACCAGTGTCCATCCAGAC
    1HG GCCCACTTCACAGACAGGTAGCCAAGCGCCAGAGCCCGGCTA
    TTGTAGCCCTAAGTG
    396 MIR4435- 2570869 ACATTCTGGATGAAAGAAACTACTCAAAAAGAATGTTTACTGTA
    1HG TGATTCCATTTTTATGTTTAAGAACAGGTAAAATTAACCTGTGA
    TGACAGACATCAGAGTCATGGTTACTCCTGAGGAGAGGGGTT
    TACTAGATGGGACA
    397 MIR4435- 2570870 CCTCTCAGATCACCCAGGAATTCTACTCCTAGGTTTTTCTCAA
    1HG GGAGAAGTTAAGTGCAAATATCCATCAAAATGCTCATAAATTTT
    ATTTGTAATAGCTAAAAACAAGACACAACTCAAATACCTATTAA
    ATGTTTATCTAGACACAATCCAAATGTAATACAGTCATGCTCTG
    CACAATCATGGTCCCATGAAATTATAATGGAAGGAAAAATTCC
    TATCACCCAAGTGCACACTGTTTATAAAGTCCACAGCGGTGT
    398 MIR4435- 2570871 GCACAAATGGTATTCTGTATCTGAAAATTGTTTGGATTAACTTT
    1HG TGATTCTTGCCTGGTTAAAGAATTACAATTCTTACCTCAGATCA
    TGCTTAAACTATC
    399 MIR4435- 2570872 TCTGGAAATGTAACTACTATAATGGACCTTACAAATGCACAAAT
    1HG GGGGCCGGGT
    400 MIR4435- 2570873 GCGAGTGTTCTCATTGCATTCGTGACCCCATTGATCTTGCAAC
    1HG AGCCCCATGCATCAGTTATTGCCATTATACCATTTTACCGATAA
    GGAAACTGTGGCAGGGAGGGGTCAAGCACCTTGGGTATTTGA
    CAGCAAAACCAAGGCTTGGTGGTATCATAAAACTTCCAAGTAG
    TAATTCACAAAGGTGACTGGGAAATGGAAGTGACCAGAAATCT
    TTGCACTATGAGGACAAGTTCATGACCCTGATACATTCTTGTC
    CAGGTAGTATAGCTCCAGA
    401 MIR4435- 2570874 CTACTGCATTTCTGTCACTCGCTGAAAAGGACACTCTGTCAGA
    1HG AAATCTTCTAGCAAACTTCAAAGGGCAAAATCACCCCTTGTTA
    CTGATAAAGCCCAGAGAGCTTCAGCAGCTAACATTCCCTGGA
    CAGGGCACAGCAAGGATTTGAACCTAGGTCAGTCTGGCCAGA
    ACACCCACAAGCTTTCCTTAACTCAGTGTGCTATCTCCCCACG
    ACTAGGTCACTACTGCTTTATAATCACCTTTGTAGCCACCAGT
    GGATTTTGCTCATCAGTATTTTTCAGGCAATTGATACTTTAGAT
    ATTCAGCTGCAAGACGTATGCAGTTTTCATTGACATCTTTTGGA
    GAAACTGACAAACCTGGACTTGACTTAATGCCTTTGGAACCTT
    CCAAGATGTTATATAACTCTAGATAGAAGGCTGGGCCTCCATG
    ATGTCAGGAATGTTGCATTCTTATTTCCCCATAGATAAACCCAT
    TTGTCCACAAAGTCAAGGAGTCAGGCAGAGGCCCTTGCCATG
    GGGCTTTTTAGGATAAAGCAACAAGCCTGGACTTTGCTCTACA
    ACAGGGTTTTGCATAGGGAGTGGTATGACCAGATCCCTCAAG
    AA
    402 MIR4435- 2570875 GGTGGGATCACTCAGATTCTACAGATATTAAAAGGATAATAAG
    1HG GAAGTATTGTAAACTTTTATGCCTATAAATTTTAAAACTTAGATA
    AAATGGATAAATTCCTGGCAAGGCACAATCTACCAGAGCCCAC
    TCAAAAAGAAAGAAAGAACCCAGACAATCCTCTATTTACGGAA
    TAAATTGAATGTTTAGTTTAAAATGTATGCATGAAGAAAATTCC
    CGGTTGACATGGCTTCACTAGTG
    403 MIR4435- 2570876 CAATAATATAAAGGTCAGAAGGGGAGAAATGGAAGTATCCTGT
    1HG TGTAAGTTTCTTATGCTATACGCGAACTGGTATAATATCATTTG
    AAGGTAGGCTATAATAAGTTAAAGATGTGTTCTGTTAATCCTAA
    GAAATATGAAAATAACACAATAACAAAGAGTTACAGCAAATAAG
    ACAACAAAAGAGATAAAGTTGGATCATAAAAATA
    404 MIR4435- 2570877 CAAAGGTTTCTGCTCAAGGGTTTCTGCTGCAGTAATTTGTGAT
    1HG TCTAAGTATTTTCTTGTCAGTCTTTCCAATTTAAGGGGCAGTAA
    ACCTCACTTCTCTGATGGATCTAAGAGTTGTTAATTAATCAGTT
    TGTTCAGCCTTTTATTTGTTGTTAGGATGTAGTGACAACTTCCA
    AGCTCCTTACGTACTGGATTGCAAACCAGAAGTCAAACTATTC
    CTTAGAAATGAAGGGGAAGTAAAGTCATTTTCAGATGACAGGA
    TACTAAAAGAATATGTCACCAGAAGACTTGCCCTTAAGGAATG
    ACTAAAGCA
    405 MIR4435- 2570878 GCCACTGCTTTGCTGAGTCATTCTACTATGCAGCCCCTCAGAC
    1HG ACAAAGCCCGGCGGCCACCTGCCCACAGAGGCACAGAGGGC
    CAGCCAACTGCAAGCACGGAACTTCAGGATCTTGCTTTTCGG
    GTTATTTTCACTACTGTAATTTTTTTGTCCTTAGGTAAAAAGGAT
    AATAATTGTGGAAAATTATGTCCTTAGGTTAAAAAGATCCTGGA
    TCATGCCAGATATTAAAATATGGATAAAATTGGCATGATCTTGG
    AATCTGAACAGAAAAGAAGCTGCTTTTAGCTGTTTTCAACTGTT
    TTTAGCTTTTCTGTCTAAACAGCTGTTTA
    406 MIR4435- 2570879 CTTAGCTGACATTACTTTGATCATGAACTTTGTTGCCT
    1HG
    407 MIR4435- 2570880 TCGCTGGGGTATGACCATTCCCCTGGCCTTCCTATCTTCCCAT
    1HG CTATGCCCAACATGGCTGCCAAGGGGATCTGTCCTAAATGCA
    AAGTTAGCCATGCCTGCCC
    408 MIR4435- 2570881 GGGGAGGATAAAATTTGGAGCAAGATTCTCAAGGAAGCAACA
    1HG AGATCCTAAG
    409 MIR4435- 2570882 TCTTGGACGAGCCTGAGGATGTCTACAAGTGGAAGAA
    1HG
    410 MIR4435- 2570883 TGGAGGAGGATCCAAGGCTCAGAAAGAGAAGGAG
    1HG
    411 MIR4435- 2570884 TGCCTATTGTTCTGGATCATTTTGAGAAAAAAAAAGAGATACCT
    1HG TGAAGAAAGATGAAGACAAAATATGGAAGGGTGCTGAATTTAC
    AAAAAGCCTAAGGGGAAAAAACTCAAATGTCCCTCAGGAGTG
    GAATGAGTAAACAAATCATGGCGTGTTCACACAATGGAATGCT
    ACCTACCAATAAAAAGGAATGAACTGCGGATGCACACAGAAAC
    ATGGGTGAATCCACTAGGCATCATGTTG
    412 MIR4435- 2570885 CAGCCATTTGCAGAGCATTGGAGTAAGTTTTACCTTCATCCCT
    1HG TAGATGTGAATTTGTTATCCTCACTGTGACAATCCCTTATCACA
    TGGCTTTTAGAAGGATTCTCAAAAAGCTAGACTCTCACATTCAA
    CTTTGCAATTGCCTGGCTGGGTGTTACGTTTCTTTGCCTCCTA
    TTAGAGACCCTATCAGCATCTAAAACTAGCGTTGTTTGAGGAT
    GTTGGAGCCAACGGTTCTTTGCCAGATAGAACTTTGTGTGTCC
    AAATAAATGGTTCAAAATCATCAAGCAAATAAATACCCTGGAAT
    AAGAGAAGCCTCATGAGGATTTGACTCCAAATTGACTTCCTCT
    GTTCTGCAGTAAGAAGTTAGGAATTAAACCAAACCTTGCCTGA
    GGTTCAGGTATACTCAAAAGCAATGAGGTGTGGCTCAGGTGT
    GCGCTGGCAAGGTCACTGTGAAGTTCAGCCAGAGGCTTTGCA
    AGCCTGGGCCTGAGAAGCCAGACCTCTTAGATCCAGAAGGGC
    CAATGGAGCTGGGCTGGCCTGCTGCCACTCACAGGCAGAGA
    CTCTGCCAGCAGAAGGGACTCTGCTGTCAGAGCTGGAGGGCA
    GCGGACCACATGGCTGAGGCCCAACCACAGGTCTCCTGACTC
    AAAACCTCTTCCCAGGGCTTGTCCTCCTCCCTAAATATATGTG
    CCCCAAATTGTCACCAGATCTCGGGAAAGCACTGGCTTT
    413 MIR4435- 2570886 GAGGTAGACACTATTCCCAGCTGGATACTCTCAATGTTGAGGA
    1HG TATAGATGCACAAACCAATGCAGGGAGGCCTCCAGGAGCCAC
    TGGAGAAGAAATCTTCAGATCCTACCAGGCCCATAGCTGTTGC
    CTTTGTGGGCTCCTGGGTTAATTTCCACACATCAGTGGCCCAC
    CTTATGATATCCTCCCTGCATGCCACACTCCCGGCCATGCTCT
    GTGGACAGCCATTATTTCCAGTAATTGCTAATGGGAGCCAGTC
    TCCAAAGAGTAATGAATCAGAGGTGTTCCTTGGAATGTGTTAC
    ACTAGGACTTCGCCGATCTCACAGGCTCCTTTCCAGATGAGCT
    GACTGTAATCTCTGGGAAGCTGGATCTGGAGGAACAATGGGA
    TGGGATTTGCGGTGACCCTTCCTGCCCTTCTTGAGCAGCTTGT
    GAACCAGAAGATGTGCCTGGAGAGAAAGCCTCATTTGGGGAA
    GTGCAGTAGTC
    414 MIR4435- 2570887 CAGATCTCAGCTGCCGAGTGGAAACCCCATTCTCACACCATA
    1HG GCTATGGGACTGGGGGAAAGGGGAGGAAATAACTAAAGAGTA
    AGGAATTGGGGGAGGCTTTGAGGTTTGGATGTGACAGGTAGT
    TTGCATGTAGTTGGAATGCAGTAACATTGGTCCACAAGGTT
    415 MIR4435- 2570888 GAGCACGTGATCACTTCTCACAACTAATGGAGCCAAGATTCTG
    1HG TCCTTATGGCTCCAGAGACCTCTTTTTTTTCCCACTGTACCACA
    ACACTCACCAGGACTGGAGTGCCACCTATGACCTCATTGCATA
    ATGGATGGCTTGTCCTCA
    416 MIR4435- 2570889 TTAAAGATCTGTAGGCTTACTAGCCATGACAATGATGACAATA
    1HG ATGATGATGAAAATGACATCATCATTACCAATAGCTACTGCCAT
    CTATTGATCCCATAACATGTGATCATATC
    417 MIR4435- 2570890 AGTCATGTAGTTTGAGCACTCCAGATTTATTTTCCTAATTCAAG
    1HG ATTGTTATAGATACGCTAGATTCTTTGCATGTCTATATAAATTTT
    AGAATCAATTTGTAAATTTCTACAACAGATTCCTGCTAGCATTA
    TTACTGGGATTGCAATAACTCTACAGATCAATTTGTGGAGAAC
    TGACATCTCAACAACATTGAGTCTTCCAATCTGCAAACATGATA
    CTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTG
    TCTTCTTTAATTTCTTTCAATAATTGTTTAGTTTTCAACATAGAG
    ATCTTGTCCATCTTTTGTTGTTTATTCATGAGTATTTTATGCTTT
    TTGAAGATACTGTAAATAAAATTGTTTTTCTAATTTCATTTCCCA
    AATTCTTGCTGCTGATATATAAAAGTATAATTGATATTTTAATAT
    TAACCTTGTATCCTGTGACCTTGTTCAATTGATGTA
    418 MIR4435- 2570891 GCTCAGTTTGCTTATCCGTTCTCCTGTTGATGAACATCTGATGT
    1HG TTGCAGTTCTCCTCTCCGTGAGTCTTCTTGTAAACATAATTTTC
    ATTTCTCTTGGGAAAAACCCTAGGAGTGGTACTGCTGGGTCAA
    GGGGGTAGGTGTTTGTATAGCTTTATAAGAAGTTACCACATCC
    TTACTAATATTTGGTGATAGCTATTCTTTAAGTTAAAAGTGTAG
    AGGCATCTCGTTGTGGTTTTAATTTTTATCTCCCAAATGAGTAA
    TGATAAGTGTCTCTTCATATACCGAATGGCTA
    419 MIR4435- 2570892 CTTGCAGGCCCTGTGAACATATATACTTCCTGGTGGGAAGAGC
    1HG AAGGGAGCCTCTGGTGGAAAGCAGCCCCAGGGTCCAAGAAC
    CACACAGCCCTGCATTAGGGCCCCCAGGGAGGGAGAAGACC
    AAGGTCATGCTTTTGAACCTGGATGCCAGAAGAGAACAGCTGT
    GGGGAAAAGCATGCCTGGAACCAAGAAAAACATGTTTACCAG
    GGGCCATTCCTCACACCAGCTGCAGGCAGGGTCAGGAAAGC
    CACAGGCTGCACTGTAGTTGCAACCTTGCATGCGGACGCAAG
    GCTCAGAATGTTCCTCAAAGATCCTAAAATGTTCCCAGAGTCA
    GGCTGAGTCCATTCA
    420 MIR4435- 2570893 CACTACAACTGGCTGTCGGTCTCCC
    1HG
    421 MIR4435- 2570894 ATGTGATGGCCAAGGGAGCTTCATCAATCATGGCATCTCAAG
    1HG GGAGCTGGAGCAGATGAGGAGGAGATGGAGGTCCCAGGAAG
    GGCTGTGATCTGCCTGGGGTCCCACAATGGGAAAC
    422 MIR4435- 2570895 CTCACACAGGCAGTTAGCCAAGGCCTGATATGCAGAAAGTGC
    1HG
    423 MIR4435- 2570896 ACCCAGGGAGGATAGCACATGTCTTCGGCTACACTGGTGAAG
    1HG GCATCGTGCCTGCTCCACAG
    424 MIR4435- 2570897 TGCAGCTGATACCCAGGATGTATTATTATTACTGTGACACAGT
    1HG GAATCTAAAAGAGG
    425 MIR4435- 2570898 CTCAAGGGAGATTGTATGAGACTCCTATAGGGTAGAACCTACT
    1HG CTGAAAGAACTCACCTCAATTAAGCTTGATTGGAGTAAAAGCC
    AAGGCTAGACACCTAAGCTTC
    426 MIR4435- 2570899 CTCAGAAACCTGTAGATCTCTATGA
    1HG
    427 MIR4435- 2570900 CCCTAATGACTAATTGTTTTGAGCA
    1HG
    428 MIR4435- 2570901 TCCCTCATAATGTCTGCTCTGTGTCACTATGTACCCTCCCCTG
    1HG TCCTCCATTCCCCACACCAAGAGTATTATGAGTATTAAATGCC
    ACGTGGGCAGGTTCCCCAGGCAATGAGGGGGTGGGCCTGTC
    AAATGCAGGCCATGCAGAATGCCGCAGGGCGGGAGACGGGT
    GAGCCAAGGGAGCCGAGAGTTCCAGATAACAGAGTGCACAGC
    AAATGCCATGGCCCGCGTCCAGCAACCAGGAGAAACAGAACT
    GCTGAGCTCAGAATAGGCCAAGGCCGC
    429 MIR4435- 2570902 GAACTCCCACTGTATAATTGCTAAACACAATGACAGCTATAATT
    1HG GAGGCACTGAAGGAAGGTCAGGGGAGCCCAGGAGGGCGGG
    GCTGCTGCTGCCTGCTGAGCTGGGAGGGTTGGTGGCACCCC
    TTGCCCTGGGTTGCCATAGCAGATATCATAATCAATTACGGCC
    GTCTTTCATGAGGAACCTGGATCTTTCCCAAGGAATC
    430 MIR4435- 2570903 CTGCAGGCTGGAGGCTTAGCCACTTCTCAGGAGGAGCCTAGA
    1HG AAGGATATTGGTCGCCCAGCTGCTGAACCTGCCCCAGCATCC
    TTGAGGGTCTTGAAAATCTATTTTATGCTGGGCACCTG
    431 MIR4435- 2570904 ATGCACTATGTAGCCCATGAGAAGGAGACCAACTCCGAGGAG
    1HG CTGAGAGTGAGAGGAGACTGCATTCTCAGACACAATTGTCCA
    GACACTTCCTTTAAAAACTACACGCCAATGCCCAATAATGCT
    432 MIR4435- 2570905 CGGGACACATATGGGAATACAATTACAGCAAAGCCGGCAAGG
    1HG CTCAGTGAGGGGCAGAGGGCCTGGCCACATGAGGAGCCAGT
    GCTGTGGGCAGGCCCGGGTCTGAGTGCTGGCTGTGTGTCCT
    GCACAACCACATCTCCCAGAGTGCATTCGTCACCATCCACTCC
    AGATGCCCCTTGAACAAATGAATTTCACAGTTGCAAAAGGCTG
    AAAAATGCTCTGTGACCTGGCACCCCCTTGGGGAACCACAGT
    GCATTAAAGGCTCT
    433 MIR4435- 2570906 TTGTGATTTTCGTTCCTGAATTCATAGAG
    1HG
    434 MIR4435- 2570907 GGTGCCCTGCAATGTTAAGCAAAAAAAAAAAAAAAAAAAAAAAG
    1HG ACTTTGGAAATAGAGTTATGGAGCCAGGATGGGTCTTGAGTTA
    GCCTCACTCTTTATTTCTTTATTCAAGGAATGGTTGTTCAGGGC
    CAGCGGCTCAGCCCTGGGAGCACTGACTGCTTCAAGACACAG
    ACTCCTCTGGGATGCCAGGCAGAGTCTGCTCCTGAAGGCAGA
    CTCCACTCTTCATGGGG
    435 MIR4435- 2570908 CCTCACCTTTGCAGGAGACTCTCAATTTCTCAGTCCACATCAG
    1HG CTCTCAGACCACCAAAGCAAGGGTTATTTTTCTAAAAGACATTT
    GTTCCCATTGCTCCTCTGACTAAAGTTCCTACTATGGGACATTT
    GCCCTTGGCACTCAAGGACCTTGCAATCAGGCTGAGAACCTC
    AGGTTCTCAAACTCAAGACCATGGGGAATGTAATAGGTGAATC
    AGGCAGGTGAAGTCCAGGACTC
    436 MIR4435- 2570909 CAGGATGACTCAGAACCCGCGTATGAATGCTGTCTATTCATGG
    1HG GTCCAGGCTTTTGTTAAAGTCTGGGCCTGCA
    437 MIR4435- 2570910 TGTTGAGTGCTAGCTGTTGTTGAGTGCTTGTCCTGCCTGGGCC
    1HG CTGTTTTTAGCCTTTGATGTACATTTCTCCATTTAACTTCCACAA
    TAGCCCTATTAGGCAGCTAGTATTATT
    438 MIR4435- 2570911 CAGGGCTTCCTTCAACTCAGGGTTC
    1HG
    439 MIR4435- 2570912 CCCGTGGAGAGAGCCCCGCTGGTGAGGAAGCACGGGGACCC
    1HG TGCTGCAGGGCTGGTGGAGGGCTCCTTCTGTAGACTTCTGAG
    CTTGGAGCACAGATGGG
    440 MIR4435- 2570913 TCAGGTCATCCGCTCCATGGAGGTCCCCGTTCCTACCTTGGC
    1HG CTTGCCTTTCCCCCTGCATGTAACCTTGGTGAACTTTTCACAA
    GAGTCTGCGCAGTCTTCTTGTAAGCAGATTAATGCCGAGGAAA
    AGCCTTGGTG
    441 MIR4435- 2570914 TTCTCTCCCGACAGGAGCGGCCAGGACAGGGAGCAGAAGGT
    1HG GACTGCTGTGCTGCCTGGAGCTCTTCTGTCCGGAGGTTTAGT
    442 MIR4435- 2570915 ACTCCGTACAGAGAGCGTTCCAGCC
    1HG
    443 MIR4435- 2570916 AGAATCAGTTGTCTCCCAGGCGGGG
    1HG
    444 MIR4435- 2570917 ACAAGGGCGGTGCATCAAGACCACA
    1HG
    445 MIR4435- 2570918 CGGCCCCCAGATATCTGAGGAAGGCTGAGC
    1HG
    446 MIR4435- 2570919 AGACTGACCCTACAATAAATGCTTAAGAGAGTCCTACATCTGG
    1HG AAGCAAAAGGGCTATATTCACCATCATGAAAACCCAAAAGTAT
    AAAACTCATTGGTAAAGCAGACACACAAATAAGAAAGAGAATG
    GAACCACATGTTATCATTACAGAAAACCACCAAACTGCAAAGA
    TAAACAAAGGAAAGAAAGAAAGAAAGGAAGGAAGAAAGGAAG
    GAAGAAAAAGGATTATTTAAAATTATCAGAAAACAATTAAAATG
    ACAGGAATAAGACCTCACCTATCAATAACAACTTTTTTAAATGG
    CTTAAATTTCCCAGTTAAAAGATATAGACTGGCTGAATGGATTT
    TAAAAGTGACCTAACTCTATGCTA
    447 MIR4435- 2570920 GGTATTACCTGATCCCAACTTGGCACCAAAAGACAGCCAACAT
    1HG AGACTCATTCCTCCTGCTTCCTGGTGAGCCTGGTATTCTCCTC
    CACTTCCACTGACAGACATGTAGGGTGACTGGGTGGTATCAA
    CAATAGGAACCACATCATAACAGGCAGCCTAGTTTGGGAAGC
    ACTCTTGGTCTCCGTAGGCCTGAGACTCCTTTTGCCCATCTAG
    AGG
    448 MIR4435- 2570921 ACTTAAAATAGGAGTGAGGTGAGAGGGGCAGCTGGGCTCATG
    1HG GACGTCAAGTGGACAGTTTCTCAGCTGGTATTTCCTATATTTC
    CTGTTTTGGACAGCAGGTTCCTGCCCTTCTAAGCTGGGGGTA
    GGGGTGAGGGAGTGTATGTTAAAAAGCTCTGTGGACTTGCT
    449 MIR4435- 2570922 GAGCCCTTGTTCAGTGATCCTATGACTTGTCAGCTCAGTGAAT
    1HG TGCTCTGACTCTTACTGCTTTCATTTATGAAATGGAGACAATAA
    CCCCTCTCTCATAGGAAGGGTAAGACCAGAAGAGCCTACACT
    ATGGTTGGAATAATATTTGTATACAGTGATCAAGAGAATGTTCT
    CTGAAACCAGACTCTCTTTAAATCTTACCTCTATCACTTATTAG
    TTATATGGCTAGCTGTTAAATGAGGTCAAAAGAGTGTGTTCTTC
    ATAAAACTATACAGAAGATTAAATTAATTAAAACATGTACAGTC
    CTTTTAAAAAAGATCAAGTGAAACAGCATACATGAAAGTGCTTT
    CAGCACGCTGAGAATAACAATAGCAATGGCTAGAGATTATGGA
    GCACTCCCCACTGCCAGCACCAGGGGAACTTTGTACCTACAA
    CTTTTTACTTAGTCCACATAACCATGAATTCGTCTCATTTATGTA
    GACCGGGAAACA
    450 MIR4435- 2570923 CAACCCAGGGTCCTTGCAGAGAGATTGATCTGCCAGCAGTGG
    1HG CATCAGCAGCAATAGTAGCAGCAGCAAAGCCCTGGACAGTCC
    TGGCCCCCAGTCCACAACTTAGACACAGCACATGGCCTAATTC
    ACCCACAGAAGCAGCCACTGTGAAGCCCTGTGTCTCCCCAGA
    CTCCATCCAGTGGCATAAGGAGACCCAGGCCCTGCAGCTTCC
    TCCCCATCATGGAAGGCTGTCCATCTA
    451 MIR4435- 2570924 TTCTTTTTGTCTCCCATATACGCTG
    1HG
    452 MIR4435- 2570925 GCTCTGCCGACTTCCAGTTCTGGAACAAGATGGTTAAACTCAT
    1HG TTTTCCCTGCTCTGCTCCTCTAAATACAACTAAGTACCTTGGAA
    ACTATTCAGCAGACAATGATAAAGGGCTCTGAAAGCTAGAAGA
    AAAGGTGTACTTGCAAGAAACCTCAGGACT
    453 MIR4435- 2570926 GACATAGAATCAACCAAAATGGCCATCAGTGATAGACTGGATA
    1HG AAGAAAATGTGGTACATATACACCATGGAATACTATGCAGCCG
    TAGAAAGAAACGAGATCATGTCCGTTGCAGGGACATGGATGG
    AGCTGGAAGCCATTATCCTCAGAAAACTAACCCAGGAACAGAA
    AAGCAAACACCACATGTTCTCACTCATAAGTGGGAGCTGAAGA
    CTGAGAACACATGGAACCAGGGAGAGGAACAACACACACTGA
    GGCCTGCCACTGCAGGTGGGGGTTCAGGGGAGGGAGAGCAT
    CAGGAAAATAGCTAATGCATGTCAGGCTTAATAAGTAGGTGAT
    TGGCTGATAGGTGCAGCAAACTGCCATGGCACACGTTTACCT
    ATGTAACAAACCTACAAATACTACACATGTA
    454 MIR4435- 2570927 TGTCTTGCTGGCCTGAAATCGAGTACGCAGCCCGGGGTGATC
    1HG AGGGTCTCCCGGCCCGGATGTGTGAGACTTGCTTCCCCTGGG
    CAATAGGCGATACGATGCTTTAGGAGGAAGGTGTCTCTCCCTC
    CTAAGCCCCGGAGGGGAGAACTTCCAAAGACAGAAAACCACA
    GGCTTCCTGGCACAGAGCTTTCCCTTTATCAGCTAAAGCAGAA
    TCTTTTCTGGCCTTAACCTGGCCCCTTCCTCTAACTGCAGGCA
    GAGAGGCAGACAGAAAAGCACTTGCTGAAACACAAAGTTTTGT
    TCTGTCCTCAACGAACTGTCTAGAGCTGATTGCTGATAGTCGT
    GGTGCATTATGCCTTCCTGGTTTTCATTTAATTGGGCACCACG
    CTGCCTTTCAAGACGCCTTAAAGGAACCAACAACCAAATCCAA
    GAGAGCTGGACAGACCATTGAACACACAGTAGGCTGTGTCTC
    GTGGCTTTCGTTGTCTGGTGCCTCAAAGAAAACACCAGAAAGA
    TTGTTTCTAAGCTAGAGCCACCCCAGATTGCTTAAAGTGCAAA
    GCTCACTGCTGTTGGGGGTACCCTTGTGAGACACTGGAAAGC
    TGGTTTTACCGTGGCCCTATGAA
    455 MIR4435- 2570928 CCGAGGAGGCGGAGCATGGAACTCGACAGTTAAAACATTTAA
    1HG GAGA
    456 MIR4435- 2570929 AGGCAGCCTTTTCTGTCACAACACAACGCTGAGCCGGCAGCC
    1HG TGGCTCTGTCAGGATCTGGGGCTCCCGCGCCCGAGAAGCCC
    AGCCTCGCCGGCGGCCAAGTTCACCGCGAGGCC
    457 MIR4435- 2570930 GACTCTGAAACTACCCGGCTCTGCAGAAGCACGCTGGGCCCA
    1HG GGGGCTTCTAGACTGACAGC
    458 MIR4435- 2570931 AAAGGCTGCAGTCACCAGCATCTTTTCCAACCTTAATGAACTG
    1HG TATCCTCAAAAGAACACTATCAGACTG
    459 MIR4435- 2570932 GAAAATTCCTATCCCACCAGCAAATCAGCCCG
    1HG
    460 MIR4435- 2570933 CTCCCAGATAAAGAGATCAACACGGGACAG
    1HG
    461 MIR4435- 2570934 GGGTTCCTGTCGGAATCTTGGAGCTCATCCCCCAAACTTGAGA
    1HG TT
    462 MIR4435- 2570935 CAAAGGCTTCTCTTGCTGGCTGAGAATTGTTGGGGAGCTCCCT
    1HG GCCCACGGAGGGC
    463 MIR4435- 2570936 AAACTTTAAGGAAGACAACTGTGCATTCTC
    1HG
    464 MIR4435- 2570937 TGGAACATACGTTCTTGTGAACATAGAGAGTGGCATTTTCTTAT
    1HG GTCGATGTAATGTGAACAACTCCTGGTCACC
    465 MIR4435- 2570938 TTGGTACATGCCAGCACGGTCTGTG
    1HG
    466 MIR4435- 2570939 GATTCACTGTGCGAGGACCCACCTGACACC
    1HG
    467 MIR4435- 2570940 GTAAGGTGACCAATGGCTGGCTGAAG
    1HG
    468 MIR4435- 2570941 TCCGAGCTGTCACGTGGTTTATACA
    1HG
    469 MIR4435- 2570942 TCAGGTTTGCTGGGAGGAATCCAGAA
    1HG
    470 MIR4435- 2570943 CCACTCTAGGCAGGACTTTCATATCCTTTATCTAACTGTCACAT
    1HG GATGGGGTGACATGTTGATCCCCCCACAGCCTGGATGATAGA
    AATATTTGTGGTTTGATATGCGTCAGCGCTTATGACTTTGGCAT
    A
    471 MIR4435- 2570944 GGTCATATTTCACGTCTGCCCTGTA
    1HG
    472 MIR4435- 2570945 TGCTTTACAAACACTGACTCCTCAACACACGGTCATCTCTAAA
    1HG AGAAAGGGTGTTTGGCAGTTCCTCGACAGTTCTGGAAAGGCT
    GCCTTACTAGAAGCAGAGTCA
    473 Ml R4435- 2570946 TATTTTGGTCATGGGCTGGTCTGGTCGGTTTCCCATTTGTCTG
    1HG GCCAGTCTCTGTGTGTCTTAATCCCTTGTCCTTCATTAA
    474 MIR4435- 2570947 CACCTCTACCTGTTGCCCGCCGATCACAGCCGGAATGCAGCT
    1HG GAAAGATTCCCTGGGGCCTGGTT
    475 MIR4435- 2570948 TGACAGACACTGAAAATCACGACTCATCCCCCTC
    1HG
    476 MIR4435- 2570949 TGAAACAGGAAGCTCTATGACACACTTGATCGAAT
    1HG
    477 MIR4435- 2570950 AGCGGCAGAGCAGTTATTAACAGAATCACAGTCTTTCTGGAGC
    1HG TGCTGTCAGTCCTGTGCTGTCCTCAGGGCCTTTGCTTGGTCAG
    GGGCCCCACTTCTTATCCACCCTTCCCTCTACCTCACCGAGGC
    TGCTAGGCCCAGGTGTATTGTGATTATTTGATGCACCTGGGAG
    GCCATGTCTCCCGGGGAGTCTCAGGACCTCATTGGGCTGGAA
    TTCCACGGGGATCTCTCATTGGGTCTCTTTGGGCCTTTGGAGA
    GGGGAGTGCAGGGCACCACCTGGGCGAACACCTGTGCCATC
    CTGTAAGTCCTTGTGTGACTCTTCATCCAAGTCAACAGGGGC
    478 MIR4435- 2570951 CGTGGACCCGGCTATGTCTGACTTTGTGCTG
    1HG
    479 MIR4435- 2570952 GGGAACAAAATGTCTGCTCAAACCATGACAAAATTGGCCACAA
    1HG TTTGCCGATTGGGCTGATAACAAAAG
    480 MIR4435- 2570953 GTGTGTACTAATCACTCAGACAGTG
    1HG
    481 MIR4435- 2570954 GAAAAGATTTTTATTCGTGTCTACATCAGTGTGAAAGGCTTCAT
    1HG CCTG
    482 MIR4435- 2570955 CTGGGGACACTATGGCCCCATCCTAGCCTGGTG
    1HG
    483 MIR4435- 2570956 TGGGAGGCCAAGGTGGGCGGATCATGAGCTCAGGGGTTCAA
    1HG GACCAGCCTGGCCAACGTAGTGAAACCCCGTCTCTACTAAAA
    ACAAAAAAATTAGCTGGGCATGGTGGCGCACACCTGTAGTCC
    CAGCTACTCGGGAGGCTGAGGCAGGAGAATTGCTTGAACCTG
    GGAGGCAGAGGTTGCAGTGAGCTGAGATCGCTCCACTGCACT
    CCGGTTTGGGC
    484 MIR4435- 2570957 TTGCTGATATACTTACAAACTGGTAAACAATGCTCTTTAATCAA
    1HG CAATTCATAATCTGGGTCAGCGATTTTTATCTCCATATTTGCTC
    ATACTGTATGACATCAATATTTTATATTGGCTTGCCCATAACTT
    A
    485 MIR4435- 2570958 CTGTGCCAGTCAAGCCTGGCCTGTGGCTGTGACACCTGCATT
    1HG ACCCCAGATGGTTGCCTGACCTAGGCCTGTCCTTCTATCTGCT
    TTGTTTTTATGTTGATTACTAGGTGAAGCACAGTGTTAAAAACG
    GGAAGAAAAGGCTAGGAATGCAGTTATGGGAGTGTGAGGCTG
    GGTTGGAATAGGTGGGAGAAAGTCCAGGGCTGAGTGTGTGGA
    CCCTGCTCTAGGGATCTGACCGGCTCAAGCTCCCAGGCCATT
    AAACAAAGTTG
    486 MIR4435- 2570959 CTGTTGCCATTTGAACAAGTTGTTAAGAAAATCTGCCATGTTTT
    1HG GCTCTTTTTTAAAAGGAATGACTTTAATAACCATAGCAACACTT
    ACTCAGTTTTGTGATCCACTCCAAGATTATGGGAGCAAGAACA
    GATACTCCTGAAAGCAACCCTCACCTCCTCCCCCGCCCCCTG
    CCCTCAGCAAGTCCTGGCCTGTGTGAACTGAAGGGTTTGGAA
    GCTCTGGTTTCTAGGAGTGCCCAGAAGCTAGAAAGACTAGGG
    TGTACTAGTTATTGAGGGGCAGTTGTC
    487 MIR4435- 2570960 AAAGGCATTTCTGATTTAATTAAGAGTTG
    1HG
    488 MIR4435- 2570961 ATGAAGGAGGAGTCGTCTACACTTGTAAAAA
    1HG
    489 MIR4435- 2570962 TCCTTGAGTTAAAGAAATTTGTGTC
    1HG
    490 MIR4435- 2570963 TAATCCAGTGCTCAACATATTTTTGTTGAATAAAAGCACAAAGA
    1HG GATTCATGAGAAGAGGGAAATGTTGCATACTTAGGGTAGGAG
    CAAACCACAGAGGTCTTTCTCAGCCTGGGCAAAGAATGTCAAC
    TCTGTGTTGGAGCCAGTAGGGAGCTCTGTGGGTCCTCGAGCA
    GGAAAATCCCATGGCTTAAGCAGTGTTTCAGGAAGACTGGGA
    TGTTAGGCTCCAGAGCTCTGAGCAAGTCAGATGGGACTGGGA
    GTCATAAGAAGGCTTGACTGTGGCTAGTGATAACCAATGAGCA
    CTGGAAACATGGAGGGGAATCTTTCCTCCCTTTTATATCAGGG
    TTCTCTCCTAGAGGAGCAGGTGAGGACCTCTGATGGACCAGG
    AAATTGGAATTCTGCCTGGGAGGCAAGCCCATGGAGGCCCTG
    ATCTGCTTGGACAGAGAGTAGCTCCCTTCACCTGTAAAATGAG
    AGTGAACGAGCTGGTGTCTAAGGAATTCAGAATCCCCCCCCT
    GGAGTTCCACAGGGTATGTGGGATTTTAGGGGGACCAGGGTG
    TCCCCAGTGCAAGAAGGAGGCTCCCACCAAGGGGCTGCAGC
    ACTGCAGATAACCCCCAGGGGTATGAAAAGAGGCTGAACTGG
    GGGCCTCCACAGTCAGAATCCATCCATTGACCCAGGATG
    491 MIR4435- 2570964 CCCTGGCATCATATTGGGACTTGTTAAGGGCTGAATTGTGTCC
    1HG CATCCCAAATTTGTATGGTGCCACCCCAACTCCAGTACCTTGG
    AATGTGACCGTATTTGGAGAAAGGGTCTCTGAAGAGGTAATTA
    AGGTAAAATGAGGTCATATGGGTGGCCTCTAATTCAATATGAC
    492 MIR4435- 2570965 TTTCCATTTCCTAGTAGGGCCAGTC
    1HG
    493 MIR4435- 2570966 TATGTGCATTAGTTTGCTTGGACTGCTATAACGAAATACTACTT
    1HG GGTG
    494 MIR4435- 2570967 GAGCTTTTAGAGAATATGGGCCAGAAACAGGAAGGAGTCAGG
    1HG ACCTGATAACGGGAACCAGCGGACAGTGAACGCAGTG
    495 MIR4435- 2570968 GTGAATACAATATTCTCCTTTTGTTTTCACTTTTCCTAAAAGTTA
    1HG AATCAAGGTTCAAAAGAAAATCGAGG
    496 MIR4435- 2570969 AGATGCTAATCCAGCGTGCGTCCTGGCAGAGGTTGAAGGGGG
    1HG CTCCTCAAGTCCCAGGTCCAGCTTGGTGTGGTTCAGCTACTC
    GAGAGACATCTGCTGCTAATGGATGAGCAGTCAACCTGGACG
    CAGG
    497 MIR4435- 2570970 TGTGAAGACTGGACTTAAACAGCTACACCACCAGAAGCCGAG
    1HG AGAG
    498 MIR4435- 2570971 AAATTGACATTCCAGACAAGCGGTGCCTGAGCCCGTG
    1HG
    499 MIR4435- 2570972 CTTAGTCGTGTGTACATCATTGGGAATGGAGGGAAATAAATGA
    1HG CTGGATGGTCGCTGCTTTTTAA
    500 MIR4435- 2570974 AATCCCATGGTCTTCAATTTGGTCATTTAAAAATAATCTACAAG
    1HG GTATACTGTTTTT
    501 MIR4435- 2570975 CACCACTCTATTTAACAGTGCTGGAAATATTAGCCAGCAAAAC
    1HG AGATAAAGAAAAATAAATAAATGGCATAGACTGGAAAGATTCAT
    AGTTGGCACAATTATGTATATATAAAATCCTCAGGAATGTACAC
    TTTACATACTAGAATTTAAAAGTAAGTTTAGCAACTGTGTTAGT
    TCGTTTTCATGCTGCTGATAAAGACATACCTGAGACTGGACAA
    TTTACAAAAGAAAGGTTTATTGGACCTATAGTTCCACATGTCTG
    GGGAGGCCTCACAATCATGGCGGCAGGCAAGGAGGGGCAAG
    TCACATCTTATGTGGATGGCAACAGGCAAAGAGAGAGCTTGT
    GCAGGGAAACTCCTGTTTTTAAAACCACCAGATCTCATGACAC
    CCATTCACTGTCAGGAGAACAGCATGGGAAAGACCCACCCCC
    ATGATTCAATTGTCTCCCACAAGGCCCCTCCCATACCACATGG
    GAATTATGGGAGCTACAAGATGAGATTTGGGTGGGGACACAG
    AGCCAAACCACATCAGCAACATGTCAGAACACAGAAAAAATGT
    AAAATATCACTGTATTTCTATGTACTAGTAGTGAACTGTCAGAT
    GTTAAAATTCAATTGCTTAGAATGGCATCAAAAATATGAAATAC
    TGGCCAGGCGTTATGGCTCTTGCCTGTACTCCCATTGCTTTGG
    AAGGCTGAGGCGGGTGGATACCTTTGAGGCCAGGAGTTCAAG
    ACCATCCTGAGCAACAGGGCAAAACCTTGTCTCTACTAAAAAT
    ACAAAAAATTAGCTGGGCATGGTGGCCTGTACCTATAATCCCA
    GCTACTTGGGAGGCTGAGACACAACAATCACTTGAACCTGGG
    ATGCAGAGGTTGCAGGGAGCTGAGATTGAACCACTGTACTCC
    AGCCTGGGGAACAAACTGAGACTCTGTCTCAAAAAAAAAGAAA
    GAAATACTTATGGGTAAATCTGACAAAATAAGTGTAAGACCTG
    TACACTAAAAACTACAAAACATTGCTGAAATAAATTAAAGAAGA
    CCTAAATAATCGGAGAGATATACTTTGTTTAAAGGTCAGAAGT
    CTCAGTATTGCTAAAATGAGAACTCTTCCCAATGCAGTGCTAA
    TCAAATTTCTAGCAGGCTTTTTGTAGAAATTGAAAAGCAGATTT
    GAAATTCATATGGAAGTGCGAACAAAACC
    502 MIR4435- 2570977 CCACCATGTGATACCACTACATGTATTTTAGAATTGCTAAAATT
    1HG AAGAAGACTGACCATATGGGGTGAGGATATGGAGGAAATGAA
    ATTCTCATACAATGCTATTGGTAATGTAAAATCAAACTACCACT
    TTGGA
    503 MIR4435- 2570979 GCTTGAACCAGGAAACTGGATATCATCTTAA
    1HG
    504 MIR4435- 2570980 ATGTTTGGGAACCCAACAATTAATGCAG
    1HG
    505 MIR4435- 2570982 CCCGAATGTATCTCCCAGATGTCCAGAATACGCCATCTGCAAA
    1HG ACTGAACTCATCCTCTTTCCCCAGAATGTATCTCCCGGATGTC
    GAGAATACGCCATCTGCAAAACTGAACTCGTCCTCTTTCCCCC
    GAATGTATCTCCCAGATGTCCAGAATACGCCATCTGCAAAACT
    GAACTCGTCCTCTTTCCCCCGAATGTATCATCTCCCAGATGTC
    CAGAATACGCCATCTGCAAAACTGAACTCATCCTCTTTCCCCA
    GAATGTATCTCGCGGATGTCCAGAATACGCCATCTGCAAAACT
    GAACTCGTCCTCTTTCCCCCGAATGTATCTCCCGGATGTCCAG
    AATACGCCATCTGCAAAACTGAACTCGTCCTCTTTCCCCAGAA
    TGTATCTCCCGGATGTCCAGAATACGCCATCTGCAAAACTGAA
    CTCGTCCTCTTTCCCCCGAATGTATCTCCCGGATGTCCAGAAT
    ACACCATCTGCAAAACTGAACTCGTCCTCTTTCCCCCGAATGT
    ATCTCCCGGATGTCCAGAATACGCCATCTGCAAAACTGAACTC
    GTCCTCTTTCCCCCGAATGTATCTCCCGGATGTCCAGAATACG
    CCATCTGCAAAACTGAACTCGTCCTCTTTCCCCCGAATGTATC
    TCCCGGATGTCCAGAATACGCCATCTGCAAAACTGAACTCGTC
    CTGTTTCCCCCGAATGTATCTCCCGGATGTCCAGAATACGCCA
    TCTGCAAAACTGAACTCGTCCTCTTTCCCCAGAATGTATCTCC
    CGGATGTCCAGAATACTCCATCTGCAAAACTGAACTCATCCTC
    TTTCCCCCGAATGTATCTCCCGGATGTCCAGAATACGCCATCT
    GCAAAACTGAACTCGTCCTCTTTCCCCCGAATGTATCTCCCGG
    ATGTACAGAATACGCCATCTGCAAAACTGAACTCGTCCTCTTT
    CCCCCGAATGTATCTCCCGGATGTCCAGAATACGCCATCTGCA
    AAACTGAACTCGTCCTCTTTCCCCAGAATGTATCTCCCGGATG
    TCCAGAATACGCCATCTGCAAAACTGAACTCGTCCTCTTTCCC
    CCGAATGTATCTCCCGGATGTCCAGAATACGCCATCTGCAAAA
    CTGAACTCGTCCTCTTTCCCCCGAATGTATCTCCCGGATGTCC
    AGAATACGCCATCTGCAAAACTGAACTCGTCCTGTTTCCCCCG
    AATGTATCTCCCGGATGTCCAGAATACGCCATCTGCAAAACTG
    AACTCGTCCTCTTTCCCCAGAATGTATCTCCCGGATGTCCAGA
    ATACTCCATCTGCAAAACTGAACTCGTCCTCTTTCCCCCGAAT
    GTATCTCCCGGATGTCCAGAATACTCCATCTGCAAAACTGAAC
    TCGTCCTCTTTCCCCAGAATGTATCTCCCGGATGTCCAGAATA
    CGCCATCTGCAAAACTGAACTCGTCCTCTTTCTCCCGAATGTA
    TCTCCCGGATGTCCAGAATACGCCATCTGCAAAACTGAACTCG
    TCCTCTTTCCCCCGAATGTATCTCCCGGATGTCCAGAATACGC
    CATCTGCAAAACTGAACTCGTCCTCTTTCCCCCGAATGTATCT
    CCCGGATGTCCAGAATACGCCATCGGCAAAACTGAACTCGTC
    CTCTTTCCCCAGAATGTATCTCCCGGATGTCCAGAATATGCCA
    TCTGCAAAACTGAACTCGTCCTCTTTCCCCCGAATGTATCTCC
    CGGATGTCCAGAATACGCCATCGGCAAAACTGAACTCG
    506 MIR4435- 2570984 ATGTCCAGAATACGCCATCTGCAAAACTGAACTCGTCCTCTTT
    1HG CC
    507 MIR4435- 2570986 AAAGAGATTCTCACTTAGAGACATCATAAGGAAACTACTGAAA
    1HG ACTAGGAACAAAGGAATTATCTTCAAAGCAGCAATGAAAAATG
    ACATTATTTATAAAATTACAATTATTTAAAGGGTTGTAGATTTCT
    CATCAGAAACCATAGAGGCCAGGCCGGGCGCTGTGGCTCAC
    GCTGTAATCCCAGCACTTTGGGAGGCCGAGGTGGGCAGATCA
    CTTGAGGTCAGGAGTTCAGGACCAGCCTGGGCGAAACCTGG
    GCAAAACCCTGTCTCAACTAAAAAATAAGAAACTTAGCCAGAC
    GCAGTGGTGTGTGTCTGTAGTCCCCGCTACTCAGGAGGCTGA
    GGCAGGAGAATCGCTTGAACCTGGGAGGCAGAGGTTGCAGT
    GAGCCGAGATCACACCACTGCACTCCAGCCCGGGCGACAGA
    GCATAGAAGCCAGAATGCAATTGAACAACATTTC
    508 MIR4435- 2570988 TCAGTCACGTCTGCGCCAGAGCTTTGATGACCCACCTGTCAG
    1HG CCACACTAAGGGCCCTGCCATGAATAAGGCCTCCGTCACTGA
    GGATCCTGTACCCCTCTGCCATAAACTCAGTGACCTGACTG
    509 MIR4435- 2570989 CCCACATTCAAAAGGCTTGCCCGAGAGGCCT
    1HG
    510 MIR4435- 2570991 TCAAGGTGGCCTTGCGCTTCACCGAGGAGGTGTCATTACCAA
    1HG ACGTGCTGGACATTGGCTACCTACGGAAGAAAGATTAA
    511 MIR4435- 2570992 CCAGACACCACTGGCCTACATCAAACTCCAGGCCACAGATGG
    1HG AAATAGGACTGAGATCCCTGGACCTGGG
    512 MIR4435- 2570993 ATGAAGCTAGGCCCCCCTGTCCTGACAGCTTTCCACCCCTTCC
    1HG CTGCCCCTCTCACCCTGCTTTCCAGGGGCAATGCACCTCCCC
    ACTTCT
    513 MIR4435- 2570995 TGTATTTGGCATCTACCATATCTTTGCATC
    1HG
    514 MIR4435- 2570997 CACACATAACTCTGGGCGTAAAGTGAGTAAAAATATGAGACTT
    1HG AGAAGAATATTTCATCATGGTATGCTGATTGGGGATTTCACTTA
    CTGA
    515 MIR4435- 2570998 TCACTACGATTATCTGAATCTCATA
    1HG
    516 MIR4435- 2571000 TCACCCTTGACATCCGCAGAATCCACCCTCCT
    1HG
    517 MIR4435- 2571001 AGTCCTGGGGAACTCTCATCTGGAAAAAGGCGCTCATGACAG
    1HG GTGGTGCCAACCTTCCACGGATGCTTTTCAGCA
    518 MIR4435- 2571019 TTCAGCGCCGAATTGATGAGGACAC
    1HG
    519 MIR4435- 2571021 ATGGAGAAACAGGCGGCCCAGCCAGGCCCTTTCACTGCCCGT
    1HG GATGGA
    520 MIR4435- 2571023 TCCACCAGACTGATGACACTTATTCCACTTGGTTCCCAGAACT
    1HG AAGAG
    521 MIR4435- 2571025 GGGCATTTGGACTCTAACCGGGACAACCTAGTGGCCGGGCAG
    1HG GGGATGCAGGCACCACAGGTCACAGTAGTTTGCTACGAGTGT
    CAGCTTTT
    522 MIR4435- 2571027 CCTGTGGGAATCCATAAAGAATTGATTCTCATCCCCCAGAAGT
    1HG GAGATCCCGCTTGTGTCATCA
    523 MIR4435- 2571029 CTGGTGCACCTGGTCTACCTCATGTCCAGTGTTT
    1HG
    524 MIR4435- 2571031 TCCTGCAGTTCCAATGTGAGCAGCAGTTGTTTCCAAGGCTAAC
    1HG AATTTCACGCCAACTAGAAGCCTCCACAAGTCAGGTGCCAGG
    CATTTCTAAGCCAGTAGAGCAGCTCCGCTTGTTTCTC
    525 MIR4435- 2571033 CTTGGCTGGTGGATCTCGGGTTAAAATCGACTTAGGATGCCC
    1HG CCCTTAT
    526 MIR4435- 2571035 GCTTCTGCAGTTTGCCTTGGAGTCTGGGCTGT
    1HG
    527 PGM5P4- 2571794 TGAATTTATATTACCGAGTGGAGGGTCACATG
    AS1
    528 PGM5P4- 2571795 AGTAAATCCATTTGCTGATTGCAATA
    AS1
    529 PGM5P4- 2571796 CTCTTGTGTAAAAATCTAACTCATCTCGCTGAATTTCCTGATTT
    AS1 AAAAGTCTAATTCATTTCACCAAA
    530 PGM5P4- 2571797 CCAGACGTACAGAGGCTGGGAGCCATTGTGGTGTGCTATATT
    AS1 GATGACGGCAGCAGTGGG
    531 PGM5P4- 2571798 TTGTGTATCTGCGTTCCTTTCAACAAGTGTGACTTCCTCAATGG
    AS1 CATCATTCGTGAGCGTAACACAGAGCTCAGC
    532 PGM5P4- 2571799 GAGCTGAAATCGACCAGGGGGTTCTTATCCAACAG
    AS1
    533 PGM5P4- 2571800 GCCTACCTAAAATATTGAATGCTGTTAATAAATCTCCTGAGGC
    AS1 CAGCATAAGAAGGTGATGGGCAAAACTAAT
    534 PGM5P4- 2571801 CTTAGAGGGCCCCACAGTTGTTTGCTG
    AS1
    535 PGM5P4- 2571802 TGGTTACAATGGTACTTTCAGCCTGTCCGAATTATGTATTGCC
    AS1 CCTCCCCTTTTTATTAATAACATTGAAGTGTGATGGGACAACCA
    CTGAAGCCGTCAGTTGAAACCTGCTGGGACTTTTTAGCCATTC
    TCTTCAACATAAAGAATGGGTGTTTTTGGAGGGGGTGAGAGG
    AATGGGGAAATGTTGTCAAAGAGTACAATGTTTTAGTTGAGAC
    AGGAAGAATATATTTTGTTGAGATCTACAGCACAGCATG
    536 PGM5P4- 2571803 TGTGCTAGGTTTCTTTGCATGTACC
    AS1
    537 PGM5P4- 2571804 AGCCTCCTCCAAAACAGCACACTTTCCG
    AS1
    538 PGM5P4- 2571805 TTTCTCCCGCCCACCTTCTCCGCTGCCAGACCGCCCGAGCTG
    AS1 CCCTCAGTTTCTCCCCAAGTTGGACTCACTTTCGGGGTGTCCC
    ACAAGCCCGATCCCAGAGCCTGCT
    539 PGM5P4- 2571806 CGACCTCGACGGCCGTCCTGCCGAAGTACCTGCCGTCGCTGC
    AS1 CCACCCCCGTGGTGCGGCCCTGACGGTCGCGCAGGTCGACG
    GACGACAGCGCGCTCCGGATGAAGTTGGGCGGGTAGCT
    540 FTH1P2 2590365 AGACTGTGATGACTGGGAGAGCGGGCTGAATGCGATGGAGT
    GTGCATTACATTTGGA
    541 RNA5SP121 2602465 CATAGTACTCTGAACATGCCCGATTTCATCTGT
    542 FTH1P2 2629711 TGACAAAAATGACCCCCATTTGTGTGACTTCATTGAG
    543 SETP14 2648928 ATGAAACAGACAGACTTAATGAACAAGCCAGTGAGGAGATTTT
    GAAAGTAGAACAGAAATATAACAAACTCCGCCAACCATTTTTTC
    AGAAGAGGTCAGAATTGATCGCCAAAATCCCAAATTTTTGGGT
    AACAACATTTGTCAGCCATC
    544 SETP14 2648929 TTTGACGAAACGTTCAAGTCAAACACAGA
    545 SETP14 2648930 GAGGTCATCAAAGATGATATCTGGCCAAACCCATTACA
    546 TIPARP 2649130 GCGTACAAGGCCCACGAAATAGTCGGCCGCCGCAG
    547 TIPARP 2649131 ATAAGTCCACCGCACAGAACTCGCGCGCCTCCCCTCGAACGA
    ACGCGCACGCGCGCGCAGGGGGCGGGTCTTCTTCCCGACAC
    CCACTGA
    548 TIPARP 2649132 CTCCGCCTCCGCGACGGGCCGTCGGGAGGAGGCGACCGGAA
    GCCACTTAAAGCAGAGATCGAGGTGACAGGCGAGCTGGCTG
    GACTCGGA
    549 TIPARP 2649133 CGCGGTCGAGGCTTTCTGCGTTCGCGGCGGCGGAATGGCCC
    550 TIPARP 2649134 TCTGTGGTCCCTAGACGTCGGCTCCCGCCCTCGGCGCTGATC
    TCCGGCGCGGGCACTGCTTTCCACTCGGCTCCTGTCGTCCGT
    TCTCTCAGG
    551 TIPARP 2649135 GGGCGCGTCTATGCGGCCTCCCCCGCGGGCCGACCCCGGGT
    GCTCTGAGGCGCCTAGGAGC
    552 TIPARP 2649136 GGCACGGCAGCTACGGGAGCCTTCCGGCTACCCCGCGTTTC
    GGGCTGCAG
    553 TIPARP 2649137 CATTAACTTTGAGAGCGCACAAGTCTTCGTCTTCCTCCCCGCC
    GCCGCGGGAAGCGCTCGCCGCCTTTCCCCCGCGCTTCGCGG
    CTCAGTTCTGCGAGCCCCCAAGACCCGTTGGACGCTCCTCGG
    G
    554 TIPARP 2649138 CTCAGCTGCACTGCGCGGAGTTGGCGCGGCCCGGGACCAGG
    AGCTGAGCAAACCGCCGCGGCCAACAGGAGGCGTCACTCGG
    ACCCGGGCTCGGCGCCGGGGTGTCGCGCGGCGGCGGGCGG
    GCAGGCTTTGGAGCGGCAGTTTTTTCGGAAAGTGC
    555 TIPARP 2649139 ATGATCATCTTCCTTCCTTTCCTCGTAG
    556 TIPARP 2649140 GATTTTTAGACTCTGAGGAGCAGTTGGAGCTAATCCACATT
    557 TIPARP 2649141 CAGACTGTGTAGTGCAGCCTCCCTCTCCTCCTGATGACTTTTC
    ATGCCAAATGAGACTCTCTGAGAAGATCACTCCATTGAAGACT
    TGTTTTAAGAAAAAGGATCAGAAAAGATTGGGAACTGGAACCC
    TGAGGTCTTTGAGGCCAATATTAAACACTCTTCTAGAATCTGG
    CTCACTTGATGGGGTTTTTAGATCTAGGAACCAGAGTACAGAT
    GA
    558 TIPARP 2649142 GGGGACCAGATACCGGAAGCCCATCCTTCCACTGAAGCTCCA
    GAACGAGTGGTTCCAATCCAAGATCACAGCTTTCCATCAGAAA
    CCCTCAGTGGGACGGTGGCAGATTCCACACCAGCTCACTTCC
    AGACTGATCTTTTGCACCCAGTTTCAAGTGATGTTCCTACTAGT
    CCTGACTG
    559 TIPARP 2649143 GTATTTATAACAACTTGTAGAACTGTTG
    560 TIPARP 2649144 AAAACTTTGCAGAACAGCGGCTCCCACTTCACCTTCATGAAGC
    AAATTTCCAGTCTGCTGAGTACTTCAG
    561 TIPARP 2649145 AAGTTGACTTGTGGTCATTGCAACCTGGTTTT
    562 TIPARP 2649146 ATAACGGCATGTTGAGCCTTGCTGAGAGATTCACAAACAAGCT
    GGAGCAGCCCAGGTTCACATGGTTACCACATTATTTGGCTAAA
    GCTATTAATCTCTGTGGTCAGGCCTGTAAAGCTGGTCTATCTG
    TGCAGATTGCGCATAACCAGGAAGT
    563 TIPARP 2649147 GCCTTCTATCCCAGCTGTTCTTACAGAAATTAAGTTTCACTTTC
    TCATCAGGCTATGGTTGAGAAGTATGTCTCATTTATAGTGCCTT
    CTGTGATCTTAGGACATGTGACTA
    564 TIPARP 2649148 TGTGATTTCAGACAGCATCCTTCTCACTAACTTGCTGCCTTCTT
    GGAATAAGAATTTCCAAGATGTCTCAGGAGGTACCAAGGGAG
    CAGCAACAAGGCCTAATGATCACTTCTTCAAGAATTTATCCCA
    AGAAATGCATTGTATCTTAAGTTGGGGAACACTTTTACCTACTC
    AAAAATCTTTTGAGGTATTCAGATAAATCCATGATCTGAGTTTT
    ATGTTAATAGTTTTACAGTGTCATAGTGTGGTAATTAAGTGTAG
    AATTTTAACCTCTGAGGCTGGGCGCAGTGGCTCACGCCTGTA
    ATCTTAGCTTTTTGGAAGGCTGAGGCAGAAGAATTGCTTGAGA
    CCAGCCCAGGCAACATGGCGAAACCTTGTCTCTACAGAAAAAT
    ACAAAAATTAGCTGAGTGTGGTGGATCATGCCTATAGTCACAG
    CTACTGGGGATGCTGAGGTGGGAGGGTAGTTTAAGCAAGGGA
    GTTTGAGGTGGCAGTGAGCCTAGTTGGCACTATT
    565 TIPARP 2649149 GGACAAGAATTTTGGGCAGATTTGAATGCC
    566 TIPARP 2649150 TTTGACCAACTACGAAGGCTGTCCACACCACCCTCTAGCAATG
    TCAACTCTATTTACCACACAGTCTGGAAATTCTTCTGTAGGGAC
    CACTTTGGATG
    567 TIPARP 2649151 TGTCATTCGATTGATTGAAGAAGCCAACTCTCGGGGTCTGAAA
    GAGGTTCGATTTATGATGTGGAATAACCACTACATCCTCCACA
    AT
    568 TIPARP 2649152 GGTGGGGTTCCCACACAAGCTCCTCCACCTCTTGAAGCAACTT
    CATCATCACAAATTATCTGCCCAGATGGGGTCACTTCAGCAAA
    CTTTTACCCTGAAACTTGGGTTTATATGCATCCATCTCAGGACT
    TCATCCAAGTCCCTGTTTCTGCAGAGGATA
    569 TIPARP 2649153 ATGAAAAGTTCAAGACGGCCGGGCGCAGTGGCTCAAGCCTGT
    AATCCCAGCACTTTGGGAGGCCGAGGCGGGCAGATTACGAG
    GTCAGGAGATCGAGACCATCCTAGCTAACACGGTGAAACCCC
    GTCTCTACTAAAAATAGAAAAAATTAGCTGGGCGTGGTGGCGG
    GCACCTGTAGTCCCAGCTACTCGGGAGGCTGAGGCAGGAGA
    ATGGTGTGAACCTGGGAGGCGGAGCTTGCAGTGAGCCGAGA
    TTGCGCCACTGCACTCCAGCCTGGGCGACAGAGCCAGACTCC
    GTCTCAAAAAAAAAAAAAAAAAAGTTCAAGAATCAAGAGAGCTT
    TATTGTAGCCAGTGTCAAATGAGGAACATAATAGTAAACATTTG
    CACAGAATTTATGTTC
    570 TIPARP 2649154 CAGGAAAATGTTTGGCCGTGACAGGATAATAAATG
    571 TIPARP 2649155 GACCCTCGAGTCTGTGGAAAGCATGC
    572 TIPARP 2649156 TCCAAAGGAGTCCACTTCATGTTTCTGGCCAAAGTGCTGACGG
    GCAGATACACAATGGGCAGTCATGGCATGAGAAGGCCCCCGC
    CAGTCAATCCTGGCAGTGTCACCAGTGACCTTTATGACTCTTG
    TG
    573 TIPARP 2649157 TACCCTTATTTTGTTATCCAATATGAAGAA
    574 TIPARP 2649158 GCTTGGGCCTGGTAGAAGTTTGACCAAATGGAATGGAGGCTG
    TGAGCAATGTGAGGATTCTATTTATTTATTTACGTTTGATAAAA
    CTTACTGGAACTAGTACTACCATGCGTATTCCCTGTCCAAAGC
    ATCACTGCTTTGGTATAGTATAAGTTCATGAAATTCTGGTGGGT
    AGAAAGAAATTTTTATTTCTATCAGCAGTACTAAAATGTATCAG
    CCAACCAGAGAACATCAGTGACTTTAACTTCTGCAGAGTTTGC
    CCCAGAATTCAGAGTTCTATTTAGAGGAAGTTAAAACAACAAC
    AAAAAACAACCATTTGAAAAATTTTTGTCACCAGCAAAACTTTT
    CACTAATTAGTGATATGAAATGTGATTTTTGTGTTGTTAAACTT
    CAGCTTTGGAAAACTCAGTCTCTTTCATTATCATCCATTCCAAT
    TTGAAGGAGTTGGGCAGCTAATTTGGTTAAAGGCAGTCTTGAG
    GGTTAGAAGTATTACTTCCTTTTCGGGTTCCAGACCTAGCTTG
    575 TIPARP 2649159 AAACTTGGAAATTGTGCCAGTGGTCCAGCTGGAGCACAACGT
    TTGGTGA
    576 TIPARP 2649160 TCAGAGAGGTAGCAACTAGGTAAACTCCTTATAAAAAGCAAAT
    ACCTGGATTTACAAAAGTGAAAGTAGTTGTTCACAAAAGAATTC
    GCCATGGAATTCTTTCAGTTACCAAGCTCTCCTGGTAATGTTT
    GTGGTTATATCATTTACACAAAACTTTTCAGGAACTTCTGTGTT
    GTTTAAGCAAGATGTATCTGTACTGATGTCTCAGTGAATCAGT
    CTGTTTATTAAGCACTTATCAGGGCTTCCACACACTTATTTATT
    577 SMC4 2650205 ATGCGCAGGAGCGACAATAAGATGGCG
    578 SMC4 2650206 GCCATTTTCGAGTGAAGGACCCGGAGCCGAAACA
    579 SMC4 2650207 GTGGGTACTACACAACCGTCTCCAGCCTTGGTCTGA
    580 SMC4 2650208 GCCAGCGTCCGACTTGAAGTTGCTAGTGGTTAGTCCCAGCCT
    TCGCCCTTCGCGGTCCGACCGCTGAGAGGAGGGAGACTTCGT
    TATGCCCCGGGCCGTCAACGGCGCCAGGAGCTAAAGGGCGG
    GCAGACGAAAGCGGGCGGCGAGTCGCCAGTTAGTCTTCACC
    GCTCTGGAGAGAGTTGCTAGCCACGGGATCCTGACCCGGACA
    CGAACTCGTTTCTCCACGTCGGTGCGCGCTTGCATCCCTGGC
    CCCGAAAGCGTGGGAATGTCCGGAAATGCTGGCGTATGGGA
    GTTCCTTA
    581 SMC4 2650209 GCACGTCTAGATTTTCCCACTTACATAG
    582 SMC4 2650210 AGTCCTGCCTTCTTGCCACTCGTGTCTTTCGATGGCTCCCTTC
    CCGAAGTCCCGCTGCCTCTAAGCGGAGTGTTAAGCGGGGCTC
    TCGGAAGCCGGTGGACCGAGATTT
    583 SMC4 2650211 GGCGGGCGCGGTGTAGCGGCCCGCGGGCTGACTTGCTCCCG
    GCTGTCCC
    584 SMC4 2650212 ATGCCCCGTAAAGGCACCCAGCCCTC
    585 SMC4 2650213 CCCTGACGGCGCCAGCAGCGACGCGGAGCCTGAGCCGCCGT
    CCGGCCGCACGGAGA
    586 SMC4 2650214 CCTCCGTGGTGTTAGATTGCCGTTAAAGAGAAGACGATAATTT
    ATTTGAAGCCACTGTAGCTTTTGTGAGTCCAGGAGTTGGGTGA
    CATTATTAAACCCTCGTGGCAGTGTCGCTGAAGTTCATGAGTT
    TCCAAAATGAAGGTTCCAGGTGCTCAGCGGTACGGAGAATTG
    CATCTA
    587 SMC4 2650215 TGAGGAACTTGATAATAGAAGTTTAGAAGAG
    588 SMC4 2650216 CCAGAACTTCAAATCCTATGCTGGGGAGAAA
    589 SMC4 2650217 CGCTTTTCCTGTATTATCGGGCCAAATGGCAGTGGCAAATCCA
    ATGTTATTGATTCTATGCTTTTTGTGTTTGGCTATCGAGCACAA
    AAAATAAGATCTAAAAAACTCTCAGTATTAATACATAATTCTGAT
    GAACACAAGGACATTCAGAGTTGTACA
    590 SMC4 2650218 TTGAGAAAGGGACCAAAACAGCATGGAAAAGTATCAATTCTTT
    GCTAAGTTGGGTTATTAATGAGAACTACTGGCAGTTTGTGTGC
    ATGTTCAATTGAAGTTTTTAATCCATAGAATTAGTTTCAGTATGA
    AATGAGTGAATTTTGAAGTAGGCCTATGACTTAATACCAACAAT
    T
    591 SMC4 2650219 AAGGGGATGATTATGAAGTCATTCCTAACAGTAATTTCTATGTA
    TCC
    592 SMC4 2650220 AACGGCCTGCAGAGATAATACTTCTGTCTATCACATAAGTGGA
    AAGAAAAAGACATTTAAGGATGTTGGAAATCTTCTTCGAAGCC
    ATGGAATTGACTTGGACCATAATAGATTTTTA
    593 SMC4 2650221 CTGTAGCAGCACATCATGGTTTACATGCTACAGTCAAGATGCG
    AATCATTATTTGCTGCTCTAGAAATTTAAGGAA
    594 SMC4 2650222 GTAAATATTGGCGTAGTGAAATATATATTAAACACCAATATTAC
    TGTGCTGCTTTAGTG
    595 SMC4 2650223 GTGTTTGATTTACCTAAGCACCTAGTTAATTTAATCTTTGTAAC
    ACTTTGGATGGTTAACTTAACCTTTACTCAAGTTGGTTTTTGTT
    TTGTTGAAAATGACTTACTTGGTGGAACCACTACTACTGAAAG
    AACGAAACTTTGATATTACATTGTTAAGTATCAGAGCTGTTACA
    GAGCAAGTCCTTTTAAAGAGATGTAAAAATTAAGTACCTGTGC
    CAAACTGATTTTTATTAGAAACCCTGTTTTCTTTAAGTAAAAGTA
    TATTCTACCAGCATGGCTTGG
    596 SMC4 2650224 TATCCACAACTAGGGTGAAGGTGGTGGAGAGCAGCAAGGAAG
    CTACCTCTAACCAACCAGAA
    597 SMC4 2650225 CTCAAAGAGTGGTATAACTGGATCATAATATCCTTGTTTGCCAC
    TCAAGAAAGTGTTCCATAACTTAAGATAACAGTGGTGGGAAAA
    ATCATTTAAGACCTTGTTTCATATGCTTTAAGATACAAGAAATA
    GAGATAACACTGGGAACATATGAAACTTTGTCAGCATCAGATA
    ATAGTGTTGTAGCGACTTGAAACATTTTTTGTCTGTGATTGTGC
    CAGTCACTATTTGTGACTTGGATTGAACCTTGATATGACTTTAA
    ATTCAGGTTGATGTTTTAAAATTATTTCTGAAATATATTGAGCTT
    ATTGCCCTAAATTAAAACTATATTCTGTAATTTTACATGAGTTAT
    GTAAGTTTTCTGAAGAAATAAGGAGGAATCCTTTAGGCACAGA
    CTGTCAATCTACAGATT
    598 SMC4 2650226 ACTCTTGGCTTTATTATTTAACTGCTCCCAATTCTCACTTAAGA
    TTGATTTAGCTAAACATACAC
    599 SMC4 2650227 GAACAAATTGCTATGATGAAACCAA
    600 SMC4 2650228 AGATATAATTGGTTGTGGACGGCTAAATGAACCTATTAAAGTC
    TTGTGTCGGAGAGTT
    601 SMC4 2650229 GGAGAGAAAAACATAGCTATCGAATTTCTTACCTTGGAAA
    602 SMC4 2650230 GTAAGTGCCTTGATTGATATTACCAATTTTTATATTAGTTTTTAA
    CCATTAAGTCAAAGCCCTTCTCT
    603 SMC4 2650231 AAGGAATTATGTGGTGAACTTATCCAATGTGAGGACTATCTGG
    CTGTGACACCTGTCATCCCGTTGATCACCAGGGTTGAATTTAT
    TAAA
    604 SMC4 2650232 TTATGAGTTGCAGAAACGAATTGCTGAAATGGAAACTCAAAAG
    GAAAAAATTCATGAAGATACCAAAGAAATTAATG
    605 SMC4 2650233 GATAATTGTATTACATGTGTATTTATATATAAAGTTACTTCTAGC
    ACATTGTGAGTGTAAGACATTTGCCAGCATATCAAGTGGTG
    606 SMC4 2650234 CCCTAGTGGCGTAGCACAGTAACAAACAATAAGCATTTGGCTT
    CACAGTTTAATCTTTTAGTAGTCCACAAATCTGATAGAGGGATA
    GGATTTGGGTTTTTCTAGATAGATTTTTAAGGGTTTTATCATGT
    CCCTACTTGATGCCATTTTTCAATGACACTAGTATCTCTAATTA
    TTTTTAAATAAAAAAATTTGTATAGTAAGTTTATTGTATAGTAAC
    TTGTAAGTATATTCGTAAAAGGTAAAACCAAAATTTTACTCCTA
    TGGTAAAATTTTTATATACCTAGACATTGTAGTCACTGGAAAAT
    GTGTTATTTTCCCTCCAACTTAGAAAGGCAAAATAGCTGTCATA
    ATCAAAAATACAGGTGCTTCTTCAACTATGGGGAGAGGGATCA
    TCTTGGAATAAGGAGAGTTTTAGGATCCTGCCTTATTAAGAGC
    CTGGACATA
    607 SMC4 2650235 ATTACAAAATTTATTGAGGAGAATAAAGAAAAATTTACACAGCT
    AGATTTGGAAGATGTTCAAGTTAGAGAAAAGTTAAAACATGCC
    ACGAGTAAAGCC
    608 SMC4 2650236 TCCGTGTAGTCAGAGCATATTTATAGCTAAAGAAGAATAATTAC
    AACCTGAAATCAGGAGAGAAGGATGACAGACCTGAGGCCCTG
    CCAGAGACAGTTTTCCTTCATAAGAGGTCAGGTGTTTGTAGAA
    GTAGTTTTACTATTAGATTGAGAGAATATAGAAATTACAGTGAA
    TAGTCGGGAAAATACTTGTTAAAGCTAGCTAATTTAACTCTGAT
    TATAAAGAAAAGAAGAACTAGAGGACCCTGAGAAATGCCTTTA
    AATA
    609 SMC4 2650237 GCCAAGAGTAACAATATCATTAATGAAACAACAACCAGAAACA
    ATGCCCTCGAGAAGGAAAAAGAGAAAGAAGAAAAAAAATTAAA
    GGAAGTTATGGATAGCCTTAAACAGGAAA
    610 SMC4 2650238 TGAAACCTGAACTGGTAAGTTTGGACTTTTAATGTCCAACATTC
    CTAAAACTAGTCAACCTAGACTTAGATGACTATTCTTTTAATTC
    CTGCTGA
    611 SMC4 2650239 GTCAATGGATAATGCAGTAGCTTTCATGATGGGATACTTCATA
    GTTAGTGGATTTTCACTGTTTGCTTATTTAATATATATTGAGTAC
    TCATGTGCCCTGCACCCCATGTTAATGACAAAGCTAGGCCTCA
    AATGTCTTTATTCCTCAGCGTAATGATCGATCTCACAAAGCTCT
    TGTGAAATCAGTTGGGAAAAGACTATGTACAGTGAATATTGAC
    AACTAGGCAAAAACTGAATCTAGTCCACTTGTGAGAA
    612 SMC4 2650240 AAGCACGTTCAAAGATGGATGTAGCCCAGTCAGAACTTGATAT
    CTATCTCAGTCGTCATAATACTGCAGTGTCTCAATTAACTAAGG
    CTAAGGAAGCTCTAATTGCAGC
    613 SMC4 2650241 AAAGAATGAGGTCAGCATTTCAGTATTCCATATGTGAACTGAG
    ACTATCAAGAAACTATATTATCCCCAGAAGCACCATATAGTAAG
    TAAATCACCACCACCACCCCACTGTAGAAATAATTTAAACAAAA
    GAAAGTTTGTGTTTCTTTAAATCTTAAGTATAGACAATTTAAAG
    ATAAATAAAAAACAAGTGTATATGTATTTATATAATGAATATACA
    AACAACTATCTTAATGTGTTTTGGGTTTTGAATTTATGGATGTA
    GTTTCTTTGCTTGCATTCCAAAATGTTATAAACTAACTAAGATG
    TATAGCTTATCGGTGCCTGTCCCCCATCCTTGAGTGAATTAGA
    TGTCTAAGGAATTTCGTAAACTTTAATCTCCAAAGATCTCCAAA
    ACCTCAGTA
    614 SMC4 2650242 AAGAGCTCATTAGCAATGAATCGAAGTAGGGGGAAAGTCCTT
    GATGCAATAATTCAAGAA
    615 SMC4 2650243 TGACAACCATATTTCAAGTGTCACTGTATATAAAATAAGATTCA
    TTTTGTTTGTTTTAAGGCACATTTATTTTTAAACATTTTGCCCTT
    ACAGTTTCTTGTTTACTTAGCTTTAGATAAATACAATTATTTCAT
    ACATATCAAGAAAAATACTAGTAATGTCACACAAAC
    616 SMC4 2650244 GGGGACTTAGGAGCCATTGATGAAAAATACGACGTGGCTATAT
    CATCCTGTTGTCATGCACTGGACTACATTGTTGTTGATTCTATT
    GATATAGCCCAAGAATGTG
    617 SMC4 2650245 GGCTGTATGGGCGAAAAAGATGACCGAAATTCAAACTCCTGAA
    AATACTCCTCGTTTATTTGATTTAGTAAAAGTAAAAGATGAGAA
    AATTCGCCAAGCTTTTTATTTTGCTTTACGAGATACCTTAGTAG
    CTGACAACTTGGATCAAGCCACAAGAGTAGCATATCAAAAAGA
    TAGAAGATGGAGAGTGGTAACTTTACAGGGACAAATCA
    618 SMC4 2650246 GAAGAATGGGTTCCTCACTTGTTAT
    619 SMC4 2650247 CAGTTGCAAAACGACTCTAAAAAAGCAATGCAAATCCA
    620 SMC4 2650248 GTGAACGAGAAATGAGGAACACACTAGAAAAATTTACTGCAAG
    CATCCAG
    621 SMC4 2650249 GGAACTTGAAGCTAATGTACTTGCTACAGCCC
    622 SMC4 2650250 TACTGGCCAGGCTTTGTTTTAGGTCCTACTGATAGAGCAGTAA
    ACAAAAATAAAGTCTCTTCCCAGGGAGCACACATGTAAGATGG
    CACATATTTGAGTGGAGGCCCAAAGAAAGTATGAGTGCTAACC
    CATGTATGTTTGAGAAAAAAGCATTCCAAGAAGAGTATAAAGG
    AGCAAATACAAAGGCTGAAGCAGGAGTATGCTGGGAACACAA
    ACCATTGTGGCTGGAATAAAGGACGGAAGAACCCAGATTCTCT
    GAGGCCTTCACCCACACTCCCCTTTCCCTGCAAGCACCCACA
    ACAATGGCTTTGATGGTACCTGATGGTCAATTGAGAAGCCAAA
    ATGTATATCTGTGCTATTAATGGCAACATTTTCATGGAGAGACT
    GCAAGAGTCTATATGTGTTTCATCCTTATTTGAAAAGGAATCCT
    TGACTTTGTTAGGAGCTCTATATATCTCCTCTCATAGAAATGCC
    ATATATTATCAGGAGACTGTTAATATCTCATGTGGAGGACCCA
    TTTGTGCAAGCATA
    623 SMC4 2650251 ACTTTTACTCTTCGTTGTCACAGGAAGGAACGCTAATTCATCTT
    ATATCCTCCACTTTGTTTTAATGTGGAGAACTGCGAAGTTATGT
    TAGCAGAAGAAAATAACCACAATTTCTTCATTGTGGGCAAGTT
    AATATTGAGTTAGGCACATAGTGTATCTAAGGCTAAAAATCATT
    ATGAACTCAGTAGTCAAGGAAGTGCCCTAAGAAAAAGTTGTAA
    AGATATTTTAAAAGAAGCTGAGAACATGAAGCCATTAAGAAAT
    GGTGTGTTTACAGCCGAGCTAGTGTGTTTAACTTT
    624 SMC4 2650252 GCTGAGGTTAAACGCTTACACAATACCATCGTAGAAATCAATA
    ATCATAAACTCAAGGCCCAACAAGACAAACTTGATAAAATAAAT
    AAGCAATTAGATGAATGTGCTTCTGCTATTACTAAAGCCCAAG
    TAGCAATCAAGACT
    625 SMC4 2650253 GTAGAGTATGCATGTTACCCTAACTTGTTTTCCCTTTCCCTGCC
    TTCACATTGGAAAGGGGGTTACTATGTAATGTTCCATAAAATGT
    TTCTCTTACTGTTAATTTATTGAACCTGTCTGACACATTACCTAA
    TGGGACTTCCATGACGGAAAACCTATAATGAACATTTATCCTAT
    GGCCAATTAAAAAGGCTGGTAAACAGGTATGCCATA
    626 SMC4 2650254 TGTCTTGCGTACAGAGAAAGAAATAAAAGATACTGAGAAAGAG
    GTGGATGACCTAACAGCAGAGCTGAAAAGTCTTGAGGACAAA
    GCAGCAGAGGTCGTAAAGAA
    627 SMC4 2650255 TCCAGAAAGAACATCGCAATCTGCTTCAAGAATTAAAAGTTATT
    CAAGAAAATGAACATGCTCTTCAAAAAGATGCACTTAGTATTAA
    GTTGAAACTTGAACAAATAGATGGTCACATTGCTGAACATAA
    628 SMC4 2650256 AAGAGATTTCGGTTCTAAGCCCAGAGGATCTTGAAGCGATCAA
    GAATCCAGATTCTATAACAAATCAAATTGCACTTTTGGAAGCCC
    GGTGTCATGAAATGAAACCAAACCTCGGTGCCATCGCAGAGT
    ATAAAAAGAA
    629 SMC4 2650257 ATTTTCCCTATCATAATCTTTTCACAG
    630 SMC4 2650258 TATGAAGATCTTCGGAAACAAAGGCTTAATGAATTTATGGCAG
    GTTTTTATATAATAACAAATAAATTAAAGGAAAATTACCAAATGC
    TTACTTTGGGAGGGGACGCCGAACTCGAGCTTGTAGACAGCT
    TGGATCCTTTCTCT
    631 SMC4 2650259 GTTCATTGGCTTTAGTATTTGCTCTTCACCACTACAAGCCCACT
    CCCCTTTACTTCATGGATGAGA
    632 SMC4 2650260 GTGATTTACCTGTTATTACTTAATGT
    633 SMC4 2650261 GCACAGTTCATAATAATTTCTCTTCGAAATAATATGTTTGAGAT
    TTCGGATAGACTTATTGGAATTTACAAGACATACAACATAACAA
    AAAGTGTTGCTGTAAATCCAAAAGAAATTGCATCTAAGGGACT
    TTGT
    634 SMC4 2650262 TTCAAGTTGATTCAGTGTATTACTGATTTTTTTCTATTTGTAAAG
    GATTATGAGTTGTATAAAATACATACTCCCTAAACTAGA
    635 SMC4 2650263 CAAGGTTGTGCTATCAAGGCTCAGCATACCTTCGTGGGCCTTT
    GATTTACCAACACTGGAAATGCCTGCCAACTAATCTTGGATAG
    ATTCTTTAAGGCATTCCACTTAGCTTGCCAGTTGA
    636 SMC4 2650264 GCCTAGGCTATCTCGTAAGTTGAAAAATATCCCACTATAGTTG
    CTTCATGAGTATGAAGTAAGATGGCCTCTGATTTACACTGGTT
    CAATTTACAAATTTTCAACTTTATGATAGGTTTATCCGGGTACT
    AAATGCATTTCAACTTGATAGTTTCAACTTATGATAGGTTTACC
    AGGATGTAGTCCCACTGTTGAGGAGCATCTATTTAGGGGTTAA
    TTACTTTAGTAATAAGTGGAAAGTAAGATACCTTGAGTAATGTT
    TGCCTATAAAATTGTCAGCGTATTTTTACACTATTGGCTCAAGA
    ATGTTATAATGCTAAGGGACATAAGTTGGCAACCACTTGGTTTT
    TGGAAGGACTTTCGGTATTGTATTAGAAGTCTGCCCTAGCTGT
    TAAATTTCTGG
    637 SMC4 2650266 GATGTAACTATTTTGCTTTGTAAATATCCTGCCTTTAA
    638 SMC4 2650267 TGTTTCTTAATAGCTGTACTCTATCTCTTCAGTAAGTAATTTGC
    CAGGAGAAATACAATGTTTTTAAGGAATATTTTTGTCAGCGTAA
    ACTGTTAAACACTGAATCCCAACTTTTAGCTATCTGAAAAATGT
    ATACTTAAATAATACATTATGGCCATTTGACTCAAATGTAAGTT
    639 LIPH 2708858 TCTCTTTCCTGGTAAGCAGGGAGTCAAAACAATAGCAAGAAAA
    TGCCAGAAATAGAATTTCTACTACTTTGTAAACTCTAGGCTCGT
    GGGTCTCCTAGCTCTCAGTACCTGGCTCACTGTAGGATGGGT
    AGATGGGTGAATGAATGGATAAAGAAAGGAAGTTTGTTCACCG
    GAGAGGAGATGAATTTCAGTAAGTTTCATGTAACAGTGATCAG
    GAGAAATA
    640 LIPH 2708859 GGCTGTCACCTATTTTGCCAACACGTGAATTCAAAACATGAAC
    CGGTTTGCTTTTGGAGAATCTGAAGACTCCAGTTTGAGGAATC
    CTTTGCTTCCCTGGAGGTAGATGCTGTCTGCAAATCTAGAATG
    ACAGCAGGAGTCCAGTCAAGAGGTCCTGTCAGGCCAAGGCCA
    GAAAGAAGGGAGGACAATCCCTGGGGCCAGATGCCCAGTGT
    GAGGGGAGGCATGATCTGTCCCATGGCTGTGGCCACTGCAG
    GAAGGTCTGTGAAAAGGAGGTGACAGGCCCAGTCACCTCCTC
    TTCACCCAAGTGATTGCTCCTTCAACTGCTATCTGTGAAAATAG
    CCTTTGTTATGAAGAAATTGACTCTCTCTCTCTTTTTTTTTTTTT
    GGAGTTGCCTAGGCTGGAGTGCAATGGTACGATCTCAGCTCA
    CTGCAACCTCCACCTCCCAGGTTCAATTGATTCTCCTGCCTCA
    GCCTCCTGAGTAGCTGGGATTACAGGCATGTGCCACCACACC
    CGGCTAATTTTTGTATTTTTATTAGAGACAGGGTTTCACCACGT
    TAGCCAGGCTCGTCTCGAACTCCTGTCCTCAGGTGACTACCC
    GTCTCGGCCTCCCAAAGTGCTGGGATTACAGGCATGAGCCAC
    CACACCCGGCCAAAAATGGATTCTCTATG
    641 LIPH 2708860 CTGCTGGGACTAGATAGTGGATGAAGAAAGAAGGACGAGGAA
    GCCGTGGGGCAGCCTCTTCACATGGGGACAGGGGATGGAGC
    ATGAGGCAAGGGAAGGAAAAGCAGAGCTTATTTTTCACCTAAG
    GTGGAGAAGGATCACTTTACAGGCAACGCTCATTTTAAGCAAC
    C
    642 LIPH 2708861 TCGGGCTGTTTGCTCAGGGAAGGCAAGAAAGCCACGTGCTGG
    CCCTCTGCCTT
    643 LIPH 2708862 CAAGGCTTTTTTCAGTAGCGTCCTATGGATGTCACATTGTACAT
    CAAACAACCTTGTGATTATAAAACGATCCTGGGAAGGAGCCCC
    TAACTAGGGCAAGTCAGAAATAGCCAGGCTCGCAGCAGCGCA
    GCGCTGTGTCTGCTGTGTCCTGGGGCCTCCCTTGTTCCGACC
    TGTCAATTCTGCTGCCTGTCACGCGGGTGGTTCTGCCCATCG
    CGGCTGCGGGTCAAGCATCTTCAAGGGAAGGACGGACTGGA
    GGCCTCACCGTGGACTCAACTCTGCATTC
    644 LIPH 2708863 GCCTCAGCTGTGTCGGTATGATCTTGTCCTGATGGAAAACGTT
    GAAACAGTCTTCCAACCTATTCTTTGCCCAGAGTTGCA
    645 LIPH 2708864 CTCTAATAGGCCCAAGGTACAAGCTCAGGATTCTCCGAATGAA
    GTTAAGGTCCCTTGCCCATCC
    646 LIPH 2708865 TCAGAAATATCACCAAGTGAGTCTACTTGCAAGATTTAATCAAG
    ATCTGGATAAAGTG
    647 LIPH 2708866 CTTTGTGGATATTATAACATGGAACAAGAATGTAAGAAGAGGG
    GACATTACCATCAAATTGAGAGA
    648 LIPH 2708867 TATTATGCTGATAATTGGAAAGACCATCTAAGGGGGAAAGATC
    CTCCAATGACGAAGGCATTCTTTGAC
    649 LIPH 2708868 ACCACCAGAGGTCTGTATACCTGTACCTGTCTTCCCTGAGAGA
    GAGCTGCACCATCACTGCGTATCCCTGTGACTCCTACCAGGAT
    TATAGGAATGGCAAGTGTGTCAGCTGCGGCACGTCACAAAAA
    650 LIPH 2708869 CTGGGCTACAAGGAGCCATTAGGAAACATAGACTTCTACCCAA
    ATGGAGGATTGGATCAACCTGGCTGCCC
    651 LIPH 2708870 CTGCACCCGACCTATATATACATTTCTAGGTCCTCATTTTCTAG
    AAGTAGTTCCAATCTTTTTACCATCCTAGCTCTCAAATATTTAAA
    GATTTTATCTACTAAGTAAACATTCATTTTTTCCTGTATCCTATT
    TATTAGTTATACAAATGCAAATAGAGGCTCAGAAGCACCAGGC
    AATTAAAGGGTTGCAGC
    652 LIPH 2708871 CCTGCAGGCCCTTTATTCAACGGGAAACCTCACCAAGACAGAT
    TAGATCCCAGTGATGCGCAGTTTGTTGATGTCATCCATTCCGA
    CACTGATG
    653 LIPH 2708872 TGATGACATTTACATGATCGGAGTAAGTCTAGGAGCCCACATA
    TCTGGGTTTGTTGGAGAGATGTACGATGGAT
    654 LIPH 2708873 TTACAATGATGGACCTCTTGAAATTCCA
    655 LIPH 2708874 AGGCTGATGCTCTACACAAGGAAAAACCTGACCTGCGCACAA
    ACCATCAACTCCTCAGCTTTTGGGAACTTGAATGTGACCAAGA
    AAACCACCTTCATTGTCCATGGATTCAGGCCAACAGGCTCCCC
    TCCTGTTTGGATGGATGACTTAGTAAAGGGTTTGCTCTCTGTT
    GAAGACATGAACGTAGTTGTTGTTGATTGGAATCGAGGAGCTA
    CAACTTTAATATATACCCATGCCTCTAGTAAGACCAGA
    656 LIPH 2708875 TATTCATCAGTTTGTTGTGCTTGTCAAGA
    657 LIPH 2708876 CTCACTGTGAGCAAAATCCCACAGTGGAAACTCTTAAGCCTCT
    GCGAAGTAAATCATTCTTGTGAATGTGACACACGATCTC
    658 PART1 2811146 TGCAATGTCAGCTATTTAGGACAGAAACATCCAAGGCCGTGTC
    AGAACTCAATTACGACTACATATGCATTA
    659 PART1 2811147 ACGCCAACTATAGGACTCGTGCTTCTCGTACGCTGGGCTATAA
    TCTATGAAACTGAGCTCCAG
    660 PART1 2811148 CCTCATAACAAGTCTAACTGGCTCTGGAAA
    661 PART1 2811149 ACAGATGAGATATTCTACACATTAATCTACTTATCTGGAATCAC
    TTT
    662 PART1 2811150 CACAGCTTCCTTGTCGGAGGGGAAAAGGACAGGTGATCTGGG
    GAAAACGCAGCTACACCTGGAGCAAGGTCTCTTCCCGGCTTG
    GCAATCTCAGCTGTGCCGGCGCTAC
    663 PART1 2811151 CTGCTGCCTTCGGTGACTATATGAGAATGGAAACTTCTAAGGA
    AGCCAGGTTGTTAGAATTGTTACCCCCTTTACTCAGAGATAAC
    ATAGATTATCCAGGCTGA
    664 PART1 2811152 AATTTTCAACACAGACTCCCTGCTTCTCA
    665 PART1 2811153 TGTTCAAATCTCCATTTGTTGACAGACAAAGCCAACAATACTCT
    AAACTGAGGCCTGCAAGTCATTTCATT
    666 PART1 2811154 TTCACCTCCTACAACTCCGAAGAAAACCCTTACTGTCCAAGAC
    CGTCACCAGCAACCATCCGCAGTCATTCAAGTGGAAGCTTTCA
    CAGCTTTTGTACATTCTCTGTGTCAATATACAACTGAGTTACAG
    ACTGTCCC
    667 PART1 2811155 CATCAGGACTTGTATTAGCAGGTTCTGGCTAGAGAGACTATCT
    CCTGTCATCACGATCAATTAATGTTTTCTGGTGATCACATCAGG
    CCCTATCTAAGAAGCTCATGGTATACAAGGGTCACCCAAATAG
    CTGAGTGCAGTCCTTGCTCATATTTCCTTCATCTTAACCCCGC
    AAACAAGAATTAAGATGATCCCAATAAAAGAAAAATTGCTCAG
    GAAACTGAACCTTTTTCTGAACCAAGCACTGTCAGCAAATCTC
    AGGTATTAGAGCAACTATGGTTGATTGAAAAGTGTCTCAAAAT
    CTGGGCCAAGAATGATTGCTAGGTCCATAAGCTAATTTGTCTG
    GCCTTGCCATTTACGTAAGCC
    668 PART1 2811156 TGGGATGGCCGTTCAGGAAATCTTCTGTTTGCTTTGCACGCTC
    CTGAGTATAGGACAAAGCGCTGTTGTTTAAGAACATAAATAAC
    AAAAGCTTTGTTCTTCCAAACCGAGAGGGAAACTGTAGATCTA
    TCCAAAATGACTTGGTCTTAAACTGCCTAAGGATGACAAGAAT
    GAAATATTATTTTAGGCTGCCCATCAGCATCCGTCTCTCAATCT
    CCTGTCTTGGCTTCAGAAAACAATGACTCAATATGGTCTTTTTC
    TGACACATTGCAGCCTTAGGA
    669 PART1 2811157 TGCTCTTCTTGGTCCCACTCAAATGGGAAGTTCTGCTCGAGGC
    CAGAAATAGAAAACAGGAAGTCAACAGAACTGATTTTCCTAAC
    TGCCCAAATGCAAATCACCACACTCCGTTATGGATGAGAATT
    670 PART1 2811158 TTGCCCTCACATACACATAAGTTTGTCATTGTTCTTCAGTTCTT
    TGGGTAATCTCTTCCTAGAAACTGCATCTAACAAATAGACCAC
    ATCCCCAAATTCCATCATGTCCAAAAAGAAGCACGGTATTTCC
    ATCAACACCCCAGCTGCCATCACCAAGCCAACTCGCCTGACTT
    CCATTCACTTACTAGCAAACATTTACCAAGTATCTGCCATGTTC
    ATTTTGTCAATGAGAATGACATGGGACTTGTTCCTCTAGGAGA
    TCACAGTCTA
    671 PART1 2811159 CCTGCTGCCCAATAACCTGATGTTGTCACTCTCATATTTAAAAC
    CCATAAGTGCTGCCGGGAGCGGTGGCTCACGCCTGTAATCCC
    AGCACTTTGGGAGGCCGAGGCGGGCGGATCACAAGGTCAAG
    AGATCGAGACCATCCTGGCCAACGTGGTGAAGCCCAGCCTCT
    ACTAAAAATACAAAAATTAGCTGGGCGGGGTGGCACACACCT
    GTAGTCCCAGCTACTTGGCAGGCTGAGGCAGGAGAATTGCTT
    GAACCCGGAGGCAGAGGTTGCAGTGAGCCGAGATTGCACTAC
    TGCACTCCAGACTGGTGACGGAGCGAGACGCTGTCAAAAAAA
    CAAAACAAAACAAAAAACATATCAATGCTGATGAACCAAGTGC
    AAAGCCCTGAGCTTGGCCAGGCAACATAGCCTGGAAACCTGA
    CTTTTAATCCTTACTTTGCTCTATTCCCCCAACATACACACACT
    TCATACACCACACCTAAAAGAGACTTCCCACAGTTTTCCAAAA
    ATGACTCACATTTATATTTCCTGTTTTTCCCTTTGCCCACCCTG
    CCCTCTCTCCCTCTGCCTTCATTTTTTTAATTAACCTCTGGAAC
    TCAGGTGCTCCTGCTCCAAGGTTTAGGTCAAAAGTTACCTCCT
    CCATGAAGCTTTCTCTCATTCTCCCACAATGTGTGAAAGCCCC
    ATTCTCAGATTTGCTTAGTTGTGCATTTGTATATTCTACCTTGC
    ACTACAGTCATTTGTATATTTATCTTATGGTTTCTGTGCCTTAG
    GAAAGGTACACTGTCTTAATCATCTTTGTTCAATACAGTGCCTA
    GCAGAGTGCCTCAAGTATAATATGTGCTCAATAAATAATAGAT
    GCATTTTTCCATGCATATTTTCTACTATATCGAAGTGGAAAATA
    TATCCATGTGATATAGTGAAAAATATCTCATGAAGAGAGATACA
    GTGAGGAAAATATCTCATGAAGACCAAAAAGCAGAAATCCAAG
    TTTTTTCTTTTCATTACTATCATCAGTGATTATTAATTTTATGTGT
    CAACTTGGTTGGGCTTAGGGATGCTCAGATAGCTGGTAAAATA
    TTATTTCTGGATGTGTCTCTCAGGGTGTTTCTGGGGGAAATTA
    GCATTTGAATCAGTAGACTAAATAAAGAAAATCTGCCCTCACA
    AATGTGAGCCAGCATCATCCAATTTATTGACAGTTTAGATACAA
    CAATAAGGCAGAAGAAGGTGAACTCTCTTTCCTTGAGCTGGGA
    CATCCATCTTCTCCTGCTCTGACATTGGAGTTTCTAGTTCTTGG
    GACTTCAGATTCTCCCCTGAAGTTTCTCAGGCCTTTTGGCATC
    AGACTGGAAGTTATGCCATTGGCTCCCCTGGTTCTCAGACCTT
    TGGACTCAGACTGAATTATACCACTGGCTTTCCTGGTTCTCCA
    GCTTCAAGATGACATATTGTGAGACTTTTCAACCTCCATAATTG
    CATGAGCCAATTTCCACAATATATCTCCTCTTATGTATCTATAT
    ATTTCCTATTGGTTTTGTTTCTCTACAGAATCCTAATAGATCATC
    TAATTGTTTATCTAACAAGTATTTTCCTCCCTAGACAATATGTTG
    GGCACTAGGGACACAAAAATAAAAACACAGACATCTGCACTCA
    ATAAACTTACATTCAATATCAGAGAGATTGGCACAGAATACAAA
    TAAAATGAGATACATGCAAAATAATATGAATTGCAAAATTACGG
    CAATTCACCACCAACTAGGTGTGTGACCGTGGGAAAATCACAC
    TGTGAGCTAAATATTAGCAAGTTTAAAATGCAAAATCAGAGGC
    AGTCTATGAATTGGACTTTGCTAATGGCCTCCTTTGCTGATGG
    ATGGCACATTGGTGTTAGAAAGTGCTTATTTTTGCAAAGGTCC
    ATTATTGATGCTTTAATTCTAAGGAAATTATGTAGGCAGAAACT
    AAAGAAAGGTTAAAAAAACAGCAGCTAAAATTGATACTTAGAC
    AATAAAAAACTAATTATAAGTGATTTATCAGCACCACTAGATAA
    CTACATTGGTGAAATTTAAGGCCATGAAATGCAGGACAAGCCT
    CGTAGGAAGCAAGGTCCCAGTGGATGAGATGCTGTCCTCTGG
    GCTCCTAACCTTCCACCACTAGTATTCACCATATCTGATTGGAA
    ATGTGTGCATGTGAGTCGGCCTCCCCTCTATGATGTGAGTAG
    GGACCTATTTTTGCTCATCTCTGTATCCTCTACACACGATGCTT
    GG
    672 PART1 2811160 GGAGCTAAAAGAAGAAATAGTCAAAATTTTCTAAATGAG
    673 PART1 2811161 CTGCCTTGTACTTCATGCAGGTTGAACAGAAATGTTTTCTGAG
    CATGTATTGTTACAGCCCTCTGAGATGGTATAAAAGAATGAAA
    GAAGACACGACCTGCCTTCCAGGAGTTTCACA
    674 PART1 2811162 AGGGAAAAGCATTTCTAATGGAGGAGATGGCTGTGGAGAGGA
    GAGG
    675 PART1 2811163 ACCTTCCACCCTTTCACTATGAAGGACCCTCACCA
    676 PART1 2811164 AGATTGCATATGTATTGGGAAGCTCCTGGG
    677 PART1 2811165 TCCACTTTCCTGTGAGGTCAAATGCGGTAAAGGGATGCTCCAA
    CCCTACCCTCCATGTACCTGCCTTTCCTGTGATTCCGAAGAAG
    GGGTGG
    678 PART1 2811166 CTATTAATTAATCCAGAGAAGTGTGTTGCTATAAAATATTCTGT
    GAAGCATTTTCACTTATT
    679 PART1 2811167 TTTGAAGAACTAGAGAAAATCATCAT
    680 PART1 2811168 GGGATTTGCTGGCATTGATTTCCCAGGATGGCAAAGTGCTAAG
    AACTAAACCTTTAAAGCTAACAAAATGTACTGATGTCTTTGCAA
    AGTATCCAAGACCAACAAGAAAGTAATTTCCCACCTCACCCTA
    CCACCACCCAGAAAAGGAGCACAGAGATGGGGAAGAGAGTG
    GCTGCATCTGGCATCCAGCCAGAGGAGTCCGTGCAGGGATTC
    T
    681 PART1 2811169 GATGATGCAGCTCCCTCAAGTATCACATGAAGATAGTGG
    682 PART1 2811170 CAGCAATGTATGAGGTCCAAGGACCAGGACCAAAGGGAAAAA
    CAGCCATCTCACCAGACACCTGCCTACGACCAGATGCGTCAT
    CTCCAATATTAGCTAACTCCCTGGAACCTGGACTCA
    683 PART1 2811171 GGCCTCTCAATCAATTACAAAACTGAGAATTCTGACAGTTTTGT
    GTATTTCCTCTTTGCATGTGATGTATATGTGTGTATTTGTATATA
    TTAACCATTTTCCTTTTTCTCTCTTCATTATTTTATGAAAGTTGT
    TGAATATAAACTCTACAATTTAGCCTTTAGGTAAGAGAATATTC
    AGTGGGACTTTGATTTGAGGAGTATTTAAGACAGCCAGATGAG
    ACTACGATAACTGTTGGAACTGTGTGTCTCCTCATTTGGGGAA
    AGGGGTGAGAACTCTGCATTTCTCTGAAGAACAGAGTTGACTT
    TGTGTTATACAGAGTTCAAATATATATATAAAATGGTGCATGTG
    GAAGCTAAGAAGCCAAAGGAGTTCACCAAGACAGTTATCAATA
    TATTGCCTCTCCGCTCCAAATCCACCCTTCTTTGCCCTGTTCC
    ACGATACTAATCTGGCTCCTCGGTCAGCCAGTGCAATGTCATC
    TGTTGCTGGTAGAGTGTA
    684 PTTG1 2838202 TTAAACCAGGAGTGCGCCGCGTCCGTTCACCGCGGCCTCAGA
    TGAATGCGGCTGTTAAGACCTGC
    685 PTTG1 2838203 GGCTTAGATGGCTCCGAGCCCGTTTGAGCGTGGTCTCGGACT
    GCTAACTGGACCAACGGCAACTGTCTGATGAGTGCCAGCCCC
    AAACCGCGCGCTGCTCGGGACCTTAGAGCCTCTG
    686 PTTG1 2838204 TGTTCCGCTGTTTAGCTCTTGTTTTTTGTGTGGACACTCCTAGG
    ATAGAAAGTTTGGTATGTTGCTATACCTTTGCTTC
    687 PTTG1 2838205 GCACCCGTGTGGTTGCTAAGGATGGGC
    688 PTTG1 2838206 TATACAAGGCTGCAGTCGGATACACTGGTATTGTGGACGTGG
    CCTGGAGCTGGACGAGACATTTAGTGTACTTTTTGGGCAATTG
    GAGTCGTTTGTTATTGGTCCTTTTTCATTTTTAATATCTTAATGA
    GATGATTTAAGGAAGTTACTGAATCTCTGCTATTAGGCCTATC
    689 PTTG1 2838207 GATCTCAAGTTTCAACACCACGTTTTGGCAAAACGTTCGATGC
    CCCACCAGCC
    690 PTTG1 2838208 GTAAGTGTTGGCTATAAAGACACTGTTTAAACACTTAAGCACTT
    TTGACTCTTAAAATGACTATTGGCATCATCCTACGTAGCTTTCT
    TC
    691 PTTG1 2838209 CTGCCTCAGATGATGCCTATCCAGAAATAGAAAAATTCTTTCC
    CTTCAATCCTCTAG
    692 PTTG1 2838210 ATGAGACTGTCTGAATCTGGGTTGCTTTGGACAAGTGTACTTG
    TTGATGGAATTATTTGCAAGGTATCATCTTAGGTCAGGAGGGG
    AATAGGAACAAAGATGTAGAAGACATTGTTCCTGTCTGTAAAA
    GCTTATCACCTAGAGGAGGTAAGATGTATTCATGAACATTGAA
    TAAGTCCCATTGTGGACAGTCTTTCTCACAAGGCTT
    693 PTTG1 2838211 CTGAAGAGCACCAGATTGCGCACCTCCCCTTGAGTGGAGTGC
    CTCTCATGATCCTTGACGAGGAGAGAGA
    694 PTTG1 2838212 CTGTTGCAGTCTCCTTCAAGCATTCTGTCGACCCTGGATGTTG
    AATTGCCACCTGTTTGCTGTGACATAGATAT
    695 PTTG1 2838213 TCTTAGTGCTTCAGAGTTTGTGTGTATTTGT
    696 NADK2 2853389 TTATTCTGTGCCCTGTTGACTTCATTCACTGTTAACATTTGACA
    TAGAATGATTAGTTATTAAATCAGGGTGAAGTGCTTACCTGGT
    CAGTGTAGGCTCTTCAGATAATTTTGACTTAATATTTTTGATAC
    TCCTTGTGCATTTACATTC
    697 NADK2 2853390 TCTTAAAGTATCTGCGTAGACATTCATAGCAAAGAATTTATGAC
    ATATCAGATAGAAATACATTAAAATGTAGTGTTTTCCCAGAGAT
    TGATCTGGCTTTTTTTTTTTGATATACATAAGATACCACTTTATA
    AAGAAGCTCCATACTATAGAACCTCCCCTAACAGGCTTAAAAT
    ACCTTCTTTTTTTTTTTTTTTTTTTTTGAGAACGGAGTCTTGCTT
    TGTCACCCAGGCTGGACTGCAGTGGCATGATCTCGGCTCTGC
    AACCTCCATCTCCCAGGTTCAAGCGATTCTCCTGCCTCAGCCT
    CCCAAGTAGCTGGGATTACAGGCAGGCACCACTATGCCTGGC
    TAATTTTTTGTATTTTTAGTAGATATGGGGATTCACCATGTTGG
    TCAGGCTGGTCTCGAACTCCTGACCTTGTGATCTGCCTGCCTC
    GGCCTCCCAGTATTGGGATTACAGGCATGAGCCACCATGCCC
    GGCCTTAAAATGCCTTCTTAAAGGAAAAATGCCAACTCCATCC
    TTAATCTCAAGGAAATCTGATTGTCCAAATAGATCTGTTAATAT
    GTAACATATTAATAGGTAACTTGCTGTGTAAAATTATAAGCCAT
    ATTTTAAAAGGTTTTAAAAATACTTATTGTGCTCCATTTGTGATA
    TAATTTCTAACATTTCTGCTCTGTGATGGGGGTTTATTTGTAAG
    AATAAGAGGCAAAGGAATGTTAGCATAGCAAAAATGTGTTTGA
    ATGAGTTAACCTTTTAATCGCAACCCTATGTGA
    698 NADK2 2853391 TGCCAAAAGATCCTGTCGTTGCATAATCAAACAGTTGGTATTCT
    CGTGCCGTTGTTCAAAGTCATGTGTTTCTTTCATTTGGTGCTGA
    AAATTTCTGTTCAATCATTGACAAATATTTATTGAACACCCACT
    CTGTGCCATGTAAAACTATGTCAGGTGCTGGATATGTTGATGA
    ATGAAACAGACTCTATCCTTATACAATTTGAGTCTTGTGGGCTC
    AGAAGTAAATTCTGTGAAAGCTGGACGGATAGTCGAATTGAGT
    GCTCTTA
    699 NADK2 2853392 CCTCCTAATTGTGGGATTGTCAGAACTGAACACATATCATTTGA
    TTAGTGCATATTTTTTATAGTACCTGAAAACCAAGATTTTGAAA
    AAATTTTCAAGACAGAGAATTTTGATAAATCCTGACATTGACCT
    AATTGACATAGGTAAATATGTTTGTATATGTGCTAATAATTTTCT
    AATTTCGGAACACGATGATGTTATGACTATTGATT
    700 NADK2 2853393 CTACCAGTCGTAAAGTGACATTTTTTGGTTATTGTTGAGACTGC
    TTGCCCGTGGGCTCAGAAGTGAGATTTGCATTATTCTTCTGTT
    GGATTCTGATAGAAAAAAAGACATTCACTGTATAAGAAAATGG
    ATGGACTGAACCAATTAGAATTGATACCAGTGAAATTTTTATAT
    TGCTTACAATTGGTAACCAAGAGTGCTGATA
    701 NADK2 2853394 TGTTCGTTCTCGTTGTTGGGATGCCTGTATGGTTGTGGATGGA
    GGAACTTCTTTTGAGTTTAATGATGGTGCAATTGCTTCGATGAT
    GATCAATAAAGAAGATGAGCTTCGAACTGTGCTTCTTG
    702 NADK2 2853395 TCACTGCTCTACAGTCCGGAAGAACCAAAAATACTTTTCAGTA
    TTCGAGAACCAATAGCAAATAGAGTTTTCTCAAGCAGTCGTCA
    GCGTTGTTTCTCCTCAAA
    703 NADK2 2853396 GAGAATTAGTGCTGTTAGAGAAAGAATACTTATGAAGAAATCT
    G
    704 NADK2 2853397 GAAATTTGAGTCTTCCATTGAACAGAGAATTGGTAGAGAAA
    705 NADK2 2853398 CATTCAATATTAACAGGGTTGCAACT
    706 NADK2 2853399 ATGAGATTTCAGTTGATGATGGTCCATGGGAAAAACAGAAGAG
    TTCAGGGCTCAATTTGTGTACTGGAACAGGATCAAAGGCCT
    707 NADK2 2853400 AATGTCTTATTCTTGGGCTGTAGCAGTGGACAATTTAAGAAGA
    AGTATACCCACTCTAAAGG
    708 NADK2 2853401 GCTGAGAGCTAGCTTTGCTTTATAATTTTGTACTTACTAAAAAA
    TTAAATAACTTATAAATGGAGGAAAACTTGGATCAGTTGATAGA
    TTTTGGGGGAGTTAGTGAAATTTCTTGAGGGGATTTTCAATCG
    AATGCTTTTATTTTCTGTGGCAGTAATGATCTGGTTGGTTTATC
    TCATAAATAACTGATGCTGCTGCTTTTTGTGTTCTTTGATGTCT
    CACCTTATGTTTTTACTAAGTAAGGACAGCAATGGATTGGCTTC
    TGATGC
    709 NADK2 2853402 CCCAACTTCTGCCAGTGAGAGCACTAAATGAAGTCTTCATTGG
    GGAGAGTCTGTCATCCAG
    710 NADK2 2853403 CATTTGCTGCTTAAATCCAAAATAGTTCTCTT
    711 NADK2 2853404 TGGAACTGGAGAACACACTTTTTTAGCTCATCACATGGCTTTT
    GGCAGAAGGCTTCAGTTCCTCACCATGTTGGTCTCTCCAAAGG
    GTTGTTCATGTTATCTCTTCCTC
    712 NADK2 2853405 TGGAGGCAGAGAATCAGGTTATACCTTGAAGGGACTGGCATA
    AACCCTGTACCTGTGGACCTTCACGAGCAGCAGCTAAGCTTG
    AATCAGCACAATAGAGC
    713 NADK2 2853406 GCTATATCTAGCTCAGTATCTTGGACTTTATGGGTTCTTGATAG
    AGTTTGACTTAATTTAAGTTACTTGGGAGATTTTGTACAAGCAC
    ATTAGGTGTTTCCGTTATAATTGAAAAGAGAATAAATATTCAAA
    TCTGTCATTGATAAGGAAGCTATAGG
    714 NADK2 2853407 AGGGTCATTTATGCCTGCCCGTTCGATATACACATTCCTTTCC
    AGAAGCCTTACAGAAGTTCTATCGTGGTGAGTTCA
    715 NADK2 2853408 GCTGCTGGCAGCGAGTAAAGTCTTGGACAGACTTAAACCAGT
    TATAGGGGTAAACACTGATCCAGA
    716 NADK2 2853409 GGAATTGAGGTTCGTCTAGTAAAGAGGAGAGAATATGATGAAG
    AGACTGTTCGATGGGCAGATGCTGTCATAGCTGCAGGAG
    717 NADK2 2853410 TACAGTGGACTTCTTGAACGACATCATATTCACACCAAAAATG
    718 NADK2 2853411 AAGCAAATCCAAGTGGAACAAAGGTCATCTAACCGCCTCTACA
    AGTATTAGTTTATCTTTGGTCATCAAGTAGCCATATGCAGTGTG
    TTAAAAAGTCATCAAGGCTGAGGCA
    719 NADK2 2853412 ATTAACACTAATGATTTTGAGCCATAAGATTATATTTGA
    720 NADK2 2853413 GAGGCTTTTGGCTAGGCATTAAATTTTGGCACAGGCTGTCTAA
    TCTATTATAGTATATCTTGGTAAGTTAACATCTATTAATTAATTT
    TCACAATAGCCAAATGCTTCCTCAGCTTCTCTTTTGTGAGAACA
    TAACGAAAATTACAAAGCAAGGACAAAACTATTTAAAAACTCTT
    AACCCAGTATTCGTAGGCAA
    721 NADK2 2853414 ATGTATCTTATTTTCCTGGGGCTTGCCGAGAGCCAG
    722 NADK2 2853415 CATCTCAAGCCAAAGTTCCCTAACAGTCAACGC
    723 NADK2 2853416 CCCATTGATTGACCAGTGACTTATTTTGTGATATCAGATTTCTG
    GTCAAACATTTTACCTCTACTGTCTCATGACCTTTCAAAGGCCA
    GTAAAACTATTATTACAATTTACTTGCATCATTAAGAGATGTAG
    CTGTTGGCAAATGTGCAATTGCTATTAACAGGGTCCTTGACAC
    AAATTAGAACTCTAGATGAAACAAAACTGACTTGGAAAGGATTT
    TGACACCAGAAACATACCTCATTGGTCAAAAAAAGGTTTTATTT
    AAAGCTCTTTTTCACCTGTCACCAGGGATGGGGAACTGAATAA
    GGAAAAAAAATTTTAATGTAGAACAAATAAGAAGTCAGCAGTTT
    CTGCCCTCCTCTCCATCATTCCAGGTCTCACAACTCGGCAACC
    CTTTTACTGG
    724 NADK2 2853417 GAAAAGGAGAGTGCCCGGTGCTACCATGA
    725 NADK2 2853418 GTACGTTATTAAGGAGAAATGTCAGGACAAGGGGCTGGTATA
    CTGGGTAGTGTGTGAA
    726 NADK2 2853419 GCCTTTTCCTTGCTGGAACGTGGTCGTTGGACACTACGAGCTT
    GTTTTAAAAGCACAGGTCTTTGGTGCTAAGAAGGAAA
    727 NADK2 2853420 ACTGCGAGGCCTAGGGCACTCCGGAAAGTCCTTCAGC
    728 NADK2 2853421 CGAGCAGCAGCGGTACCGTTACGCGGAGCTCTCG
    729 NADK2 2853422 GGCCCACGATGACTTGCTACCGAGGCTTCTTGCTGGGCAGCT
    GTTGTCGCGTGG
    730 NADK2 2853423 CCGGCGGTAGGGAGCTGAGGCAAGGGGCCCGAGCCCAAG
    731 NADK2 2853424 CCACTAGCTGGGGCCTCCATTTCTTCCCCGCCCACCTTTCTCC
    CGCGTGGGGTCTCCCGTTTCCCAATCGCCACGCTTTCCCCGC
    CTTCGTCAACGCCTGGGTACGTCCCCCTAGCCGCGTGGGCCA
    CGCACGTCCTGGCACTTAACCTCTGCCCGTCCGGCGCGAAG
    732 RPL31P57 2858553 AAAGAGCTCCGGAAACTTGCCCTGAAGGAGATGGGAACTCCA
    GATGCACACTTTGATACCAGGCTCAACAAAGCTGTCTGGGCC
    AAAGGAATAAGCAACGTCTCATACTGTATCCATGTTCGGTTGT
    CCAG
    733 GMNN 2898603 TCAGTTGGTCACGTGGTTGTTCGGAGCGGGCGAGCGGAGTTA
    GCAGGGCTTTACTGCAGAGCGCGCCGGGCACTCCAGCGACC
    GTGGGGATCAG
    734 GMNN 2898604 CTGTGGCCTTTTGCGAGGTGCTGCAGCCATAGCTACGTGCGT
    TCGCTACGAGGATTGAGCGTCTCCACCCA
    735 GMNN 2898605 AGGCGCACAGCCTCTAGACGACTCGCTTTCCCTCCGGCCAAC
    CTCTGAAGCCGCGTCCTACTTTGACAGCTGCAGGGCCGC
    736 GMNN 2898606 GTTGGGAGGTGAGTCGAGGGACTGCCCCATTGGCTG
    737 GMNN 2898607 ACTGCCCGCCCCCTAGCCTGGCGCTGGGCCTCCGGGACAAG
    TTGGCTGGGTCCGGGCTTGGGGACTGCA
    738 GMNN 2898608 TTGCCTCGACCTTCCAGCACTTTGGTGATCATGCAGGTGATCC
    GCCTGCCTCGACCTCCCAAAGTGCTGGGATTACAGATGTGAG
    CCACCACGCCCGGCCTTTCCTAAGCTTTTTTGTTTGCACATGT
    GTGTGCACGCGCCAGGACACAAGGTAAAATGTATTAATGTTAG
    AAGCCACTGCACTGAGTAAAGGCATGGCCACAAAAATTAGGG
    ACATCTATCGACGAGGCACAGGCGCAGACACGGCAGGGGCC
    AATGGGTAGTGGGCAGTGGGCAGTGGGCAGTGGAGCAGCAG
    TTCAGATGCTGAGTTTGGCCCAGTGGTCTAGTCAACCGCATTA
    CATA
    739 GMNN 2898609 CAGGAAAGTTAAGATGCTGCTCTTTAGGATGGACCTGGGCATA
    CCCTAGTATCTGTTTATTTTGCTTTTTCTGGTGACTATTTAATCC
    AGGACAATATGTTTAGAAATTTTAAACCAGTTTTAGAAATTGGT
    TTAAAATACATTAATTTCATTTTTTCAGCTATAATTATTATGTGT
    GTATATATGTAAAATATAGATATCAAGAGTCATTAACTTTAGTC
    ACCTTAGTC
    740 GMNN 2898610 TCTTCTGTGCTTCACCATCTACATA
    741 GMNN 2898611 ATGAAGCAGAAACAAGAAGAAATCAAAGAGA
    742 GMNN 2898612 TGTAGAAAGCATGGGGCTAAAAGTATTTTGACATAATTTATCCA
    AATTTAGCCTGGCTATAATTTCTGTAAGCCTTGAGTTAGTCAGA
    GGATGAGTAACAATAGAGAACATTTTTAAAAAACTAATTACGGT
    TGAATATTAAGTCTGACCCAA
    743 GMNN 2898613 GCACTGACATTTTAGCCACCTTCTAATGAATGGGCTTGAAGCA
    GAACTGCTTCTACTATCAGGTAATGGTTGAGGGGGGATGTCTA
    TTACACATGTACTTTGTTTTGTGTAAAGTATGTTCTGGAAAGTT
    ACATTCTTTTGGTGAGTACATGTAAGTATTTGAGGGATATTCAT
    GATTTAAGGAGGCCTGAAATGAATCTTTTTGATTAGGGAAAGA
    AATATTTTGCAGTGTAAATGATTAACCATTTCTTCCAGTTTACCT
    GTTTGGTGAGTTCATACCATAAATGTTACGATGTTTGGTTTTAT
    AAAAGAGTACCTGTAAGTTTTTAGTTTCTGTGTGGAAGATTTTT
    TCAGAGAGAATACAGATAGCCTTCTTGTATTAGAATTTTGTCAT
    ATGTGGTTTGAAACTGTTCATTGGAGCTGAGGAATTTTGTTAC
    GTTTGTTTTAACTAGATATGATTAACAAAATGACCATAGCAAGA
    GCATGCATTGAAATGAGAGAAGTTACGTGTGTTTGTGTCTAGT
    TTGGGTAATATGATTCATTCTTAAGAATTCTTCAAACTTTATTAT
    AATTTTTGGAAATAACAAGTTTGTCAGTTGATTAAACCAGTGTC
    TTGTTCATAGGCGACCTTACGCAATTATATAGCA
    744 GMNN 2898614 AATAGTTCTGTCCCAAGAAGAACTCTGAAG
    745 GMNN 2898615 CTGCATCTGGATCTCTTGTTGGAAGAGAAA
    746 GMNN 2898616 TTCAGCTAAGCTCTTGACCCCAGTCTAATCCAAAATAATTGTTG
    CAAATAAAATTCCTAAAATGTTACTATATGTTTTGGTAGAATTTT
    TAATTGTATAACTTTTTTAAAGATCCAGAGATGTGAAAAAGTTA
    GATATGCGTACTCTTTTT
    747 GMNN 2898617 TGACCACTTAACATCTACAACTTCCAGCCCTGGGGTTATTGTC
    CCAGAATCTAGTGAAAATAAAAATCTTGGAGGAGTCACCCAGG
    AGTCATTTGATCTTA
    748 GMNN 2898618 TTATGAATTCTGCCAATTACTGTAA
    749 GMNN 2898619 TGCTGAAGGTCACAGTAACATTTGGACTCATTTTGAATTGCCTT
    GAAGACAGGAAGAAGAGAAATAGATGGTAGGATTTTTATTAGG
    CAAAATTAGGAAAGGTTGACTGGATAGAAATAAAGCAGCTCTT
    TAAAAATATTGTAGATTGAAGAGCAGGATTTGTGACACTCATAT
    CTGATTAGG
    750 GMNN 2898620 GTGGAACACATTATCCTTGTAACCCTCTGCGATACATG
    751 GMNN 2898621 TAAAATAACTGCGAAGAAATCCCAAACTTTATTACATTTGTTGT
    TTGAACTTTATTATATTTGTTGACAGTGGTATTA
    752 GMNN 2898622 AGAAAAACGGAGAAAGGCGCTGTATGAAGCACTTAAGGA
    753 GMNN 2898623 GAATCCCGTTGTGTTGAGAGTCAATTCTATGCTGCATGTCCTC
    CATGTTATATACTTGGAG
    754 GMNN 2898624 AAAGGACAATGAAATTGCCCGCCTGAAAAAGGAGAAT
    755 GMNN 2898625 TGAATGGTGAACCTCTGGATAATTTTGAATCACTGGATAATCA
    GGAATTTGATTCTGAAGAAGAAACTGTTGAGGATTCTCTAGTG
    GAAGACTCAGAAATTGGCACGTGTGCTGAAGGAACTGTATCTT
    CCTCTACGGATGCAAAGCCATGTA
    756 GMNN 2898626 TGCCGAAGTTTACCTCCACTAGTTCTTTGTAGCAGAGTACATA
    ACTACATAATGCCAACTCTGGAATCAAATTTCCTTGTTTGAATC
    CTGGGACCCTATTGCATTAAAGTA
    757 GMNN 2898627 GTGAATAGGATTTTCTCAGTTGTCAGCCATGACTTATGTTTATT
    ACTAAA
    758 GMNN 2898628 TTGTGTATAACTTAGAATAATGAAATATAAGGAGTATGTGTAGA
    AA
    759 SLC22A3 2934522 GGCTGCGGCCGGCACAGCGCCAGGGCGAGTGAGGCGGGTG
    GCGCGGGGGAGGCGGCGGAGTAAAGAGAGGCCGCCGGCTG
    GGTCCGCGGGTCACTCCGAGGCGCGG
    760 SLC22A3 2934523 CTCCTTCGACGAGGCGCTGCAGCGGGTGGGCGAGTTCGGGC
    GCTTCCAGAGGCGCGTGTTTTTGCTGCTGTGCCTGACGGGCG
    TCACCTTCGCCTTCCTCTTCGTCGGCGTGGTCTTCCTGGGCAC
    GCAGCCCGACCACTACTGGTGCCGCGGGCCAA
    761 SLC22A3 2934524 CGGCCAACGACAGCGCCTCCGCCACTAGCGCTCTCAGCTGC
    GCGGACCCACTCGCCGCCTTCCCCAACCGCTCGGCTCCCCTT
    GTGCCGTGCCGCGGCGGCTGGCGCTACGCCCAGGCCCACTC
    CACCATCGTCAGCGA
    762 SLC22A3 2934525 GAAGCCGGCGGGAGAGGACGATGCTGGCTCCCAGGCGGACA
    AGCCGCGTGTGA
    763 SLC22A3 2934526 TTCCGGATTCGCTTATGGTCTCCAGGGTCAAAGGAAAGGGCG
    AACCAACGTTTGAAGGCAGCAGCAGCTTTTTTCCAGTTGCCCA
    AATGGTTACTCAAAATGCAAGGGGACA
    764 SLC22A3 2934527 GTGCACGAGAACGTCCCATCCAGGGACCCACGGATACTTCGT
    TCCTGCCAGGGTCTCCTTTGGGCCGACAGAGTTGTCTCTAATT
    GAGTGCAGGCAGCCCCGGAGCCCGCCGAGAGCTGAGGCTGG
    GCTGGGCTCCCGGGGACTCGGGCAGCTATTTCAGGCAGACG
    C
    765 SLC22A3 2934528 GAGGGAAGTGACCTGGAAGCGGAGCAGAGGTCGCAGCTGGC
    CCCTGCTGGGCCTAGTCTCGCTTCTGTCGTG
    766 SLC22A3 2934529 GCGTGTGCCCAGCTTAGATCCACCTGCAGCTGGCTCTGAACG
    CTGGATG
    767 SLC22A3 2934530 GCTCAGTGTCTTCCGCTGCTGTCTC
    768 SLC22A3 2934531 GTGGTGTTCTTGTCATCCTGGAAGCCCTGCCTTGGGCCATGC
    CTGAAATGCACTAA
    769 SLC22A3 2934532 TGACTCATGCGCATGGCATCAAGGCAGCCATGCCCAGGCCCA
    GCTCTTACCTCTGGGGAAGATAGACAGCTGACAGGTCAGGAC
    ACAGACTTTGGTGGCAACTGCCCGAGCACCCACATAGCAAGT
    TGCCGAGGCCAGGGGCATGCAGAGCCAGGAAAACCTGGGAA
    GATGCATAAACAGGCCCAGCC
    770 SLC22A3 2934533 CTGACACCTTGCGTGGGAGACACTAACAGGGAGAAGAGCTGA
    GCCTCCCCCAGCCTTCTGACCTACAGCACCATGTGATCATGAA
    TATGTGTTATTCTAAGCCACTAAGTTGGTGGTAATTTGTTATAT
    AGCAATAGAAAACAGATGCATTAAGTTTGTCTACAATGCCCAT
    GCCTGCAGTCATATTCTTTGGCTTCCTAGAAGGTGACCAGC
    771 SLC22A3 2934534 CCACTGATTTCATGACCTAACTAGAAAAACTTAGACTCGCTTTT
    GGCCATGGAGACATACATTTCCAACAAAATTTTACTTCTGCATA
    ATAATTATTTCTTAAAATTTATTACATCTTATTTTTTTATCAATTA
    TGATCTAAAGATAATTGTAATTATAACCCAAGCAGAAAAAATCC
    AATATTTAGAGACTTATTGCCACAGGAAAATTTTAAAAATTAAA
    TGTCAATTTATATATGTAACTTATTGTACATAGAAGTATGGTGA
    CAAAACCTATAAAATATTTTCTACACGAAATACATTACATTAGA
    ATAAAAGTCTGTGGAAATGAAAATAAGAGCTCAAAGAGAAAAA
    AATTGATGTCAAATTTCAGACTATTAAAGAACAGTCTGTTTATA
    GCAATTGGACACCTGATAGCATATAATATTC
    772 SLC22A3 2934535 TGTCTGTGTCAATGCGTGGATGCTGGACCTCACCCAAGCCAT
    CCTGAACCTCGGCTTCCTGACTGGAGCATTCACCTTAGGCTAT
    GCAGCAGACAG
    773 SLC22A3 2934536 CCAAGTGCGTAGTATCCCAAGTATGTAAAACTGGTTCAGCATT
    CTAAAGTCAATTAATGTCATCCATCAATCACATCGACAAACTAA
    GGAAGAAAAAATGACATGATCATATCAATAGATACAGACAAAG
    TATTTGTCAAAATCCAACATCTATATATGACAAAAGCTCTCAGT
    AAACTAGAAATATAGGGGAACTTCCTCAACTTGATAAGGAATG
    TCTATTAAAAAAACTACAGTTAACATCATACTTAATGACGATAA
    ACTGTACAGAAGCTTTCTCACTAAGATCAGAAACAAGCCAAAT
    ATGTCATCTCTAATAACTTCTTTTCAATGCCATGCTAGAAGCCC
    TCGCTAATACAATAAATAAGACAAGTAAAGAAAATAACAGGTAT
    ACTGATTGGAAAGGAAGAAATAAAAACTGTCTTTGTTCACAGA
    TGTCATGATTGTCTATGTAGAAAATCAAAAGAATTAACAACAAC
    AACAACCAAAAAAAAAAACTCCTGAAACTAATAAGTGAGTATAG
    TGAAGTTGCAGGGTACAAGGCTAATACACAAAAGTCAACTGCT
    TTCCTATGTACCAACAATGAACAAGTAGGATTTGAATTTAAACA
    CATAATGCCATTTACATTAGCACCACAAGAATACACAACACTTA
    GATATAAATCTAACAACATATGTACAAGATTTATGTGAGGAAAA
    GTGCAAAACTCTAATGAAAGAAATTAGAGATGATCTAAATAAAT
    GGAGAGATATTCAACATTCATGGATAGGAAGACTCAATATTGT
    CAAGATGTCAGTTCTTCCCAACTTGATGTATATATTCAATACAA
    TACTAATCAAAATCCTACAGAGTTATTTTGTGGATATTGACAAA
    CTAGTTCTAAAGTTTATATGTAGAGACAAAAGACCCAGAATAG
    CCAACGCAGTACTGAAGGAGAAGAACAAAGCCAGAGGACTGG
    CACTACTTAACGT
    774 SLC22A3 2934537 ATCCTGCCTTGGTGTTGGCGTCACTGGGGTTGTGGTGGCCTT
    TGCACCAAACTTCCCTGTGTTTGTGATCTTCCGCTTCCTGCAA
    GGTG
    775 SLC22A3 2934538 TGACAGAAATAGTAGGTTCGAAACAAAGGAGGATTGTGGGAAT
    CGTGATTCAAATGTTCTTTACCCTTGGAATCATAATTCTCCCTG
    GAATTGCCTACTTCATCCCCAACTGGCAAGGAATCCAGTTAGC
    CATCACGCTGC
    776 SLC22A3 2934539 CCCGTTGGCTGATTACTCGGAAGAAAGGAGATAAAGCATTACA
    GATCCTGAGACGCATTGCTAAGTGCAATGGGAAATACCTCTCA
    TCAAATTACTC
    777 SLC22A3 2934540 GGAAAAATCATAGGACATATTAAAGAAGAAATGATTATGAAGC
    TCTATTAG
    778 SLC22A3 2934541 CGGAGAAGGTTAGAATGGATTTGAAAGAATGTGGTTGGATTCA
    AAGAAGCCCTAGGAGACCCAACAAGTCAGCATTTTTCTCTTGT
    GAAAAGAACCACCTGCCAACCCCAGCCTGTTCCATTGCTGAC
    ATCAGAGG
    779 SLC22A3 2934542 CATTTGCCAAGGTTTCTGGCTGGCCTCTGGCTTTGTTGAAGAG
    ATAGCTAGCACTAGCAGGGAGAAA
    780 SLC22A3 2934543 AGGCTCTCTGAACATACAAACAGTATAACTGTTGTTCACTAAAT
    GGAAAAATCCCAAAATCAAAAACCAATGCAAAACAGTGAAGTG
    GCTTGAGCTCCTAGGAGGTTAGGTAGAAATTAAAGAGAATCAG
    TGGATGGGTAGAATTTTAAGCAGTAGGTAGTTACCCAATGTAG
    AACGAGGATTAGCTTAGACACCTAGTCTGG
    781 SLC22A3 2934544 CTGCCCATTCCTCCCGTTTTTGTATGGGATATACTCATAGAGA
    ATA
    782 SLC22A3 2934545 GATGAATGGTGCCAATTCTACCAGCAAAGCCTTCATCTT
    783 SLC22A3 2934546 TGTCATTCAACACCGAAAGATATTGAGGGGAGGATGTTCTCCT
    ACACCTTTAATTGAAATGGAAATTCAATTTAAAGGTGCTTTAAA
    GAATGAGATTGCAGCCTTGGAGCAGGCTAGGCAGACTTGTGG
    GATGCCTCATCAGA
    784 SLC22A3 2934547 ACCTGGTTCTTCATCTGGTCCTGAGTCCTTGCCCATTCTACTG
    TGGCTCTGGCCCTGCTTCATTCCTGCCTGATTCATCCTCAGAA
    GGCAGGTTTCTGTCCTGTCCCTACACATC
    785 SLC22A3 2934548 AATTACTGTGCTTCTCGACTGTGGATAAATGAGAAAATACTCCT
    CTCTGTGAACGCGCTCCTTCGTGGAGACAGTAATGAGTACAA
    CTTCCAGAGCTCTGCGCAGCCAGCAACCCTGGCAGGAGTCCC
    TGTGTTATTCATAACCCAGAGCTGTGTTGCCATGGCAGTACTG
    CTTGCTAGACCTTGGACCCA
    786 SLC22A3 2934549 GTGTGCTACTGGCTTATGGCTGATACGTAAGAGAATCTCATCT
    ATCTCTAAATGTTCTGCCTTAAGCCGCACAAAGGA
    787 SLC22A3 2934550 TGTGCAGAAAATATTCTGCAAATCAAGAACCAGAAAA
    788 SLC22A3 2934551 AAATGGAGGAAATTCCGAGATGACAGTGGTTTTGGTTCT
    789 SLC22A3 2934552 GCTCTTTGAGAATGTAGTCGGGACTTGCCCCAGTCACCCTTGC
    CCTGAGAACTCAGTGACTGGGGCTAATGTCACCCTGGCTGTC
    C
    790 SLC22A3 2934553 GGAGACACCTACCAGGAATCTAGTGGGACAAGGTTTCAGGGA
    TCCTGGAATCCTGCCCACACCCAACAGCTGGAACAGTTCCCT
    CAGCTGGCGAGTGGACAGGTGGTCT
    791 SLC22A3 2934554 GATGTTAAAGACCATGTTCCCATAGAAATAATTCCCAAAGCATT
    CAGAAGACTGAGAAGAAGTGATGATAAGAATTGTTCTGGGCA
    GGAGTGT
    792 SLC22A3 2934555 TTTCAAAAATTGCCGAAGTACTACAG
    793 SLC22A3 2934556 ACTAACCTCTGCAGTTTAACCTTGAGCGATACCTTTTCCCATGA
    ATAG
    794 SLC22A3 2934557 AGAGTGTCGATACTAGGCAACAAGCCTCTGAACAGATAGTGTT
    ACCCGGAACATCACCCTTTTCTCCCTTTGCTTCAAATCAAAACC
    AGCATCCCCCATTTAGACAGCATAAAAGGTATG
    795 SLC22A3 2934558 CTTCACTGAGACACAAGGAAACTTTTGGGGATCATGGAAAGG
    GTCCGTACCACGGTTGTGGTGGTGGTTATAAGACTATATATTT
    GTCAAAAGTCTTCAAAGTGTGCACTTAGAATTGCTGAAGTTTAT
    TGTACATAAATTACATGTAAATATCATAAAGTGCATGTAAATGG
    T
    796 SLC22A3 2934559 CAGATGAGGAAGTTAGTAATCCATCCTTTTTAGATCTGGTGAG
    AACTCCCCAAATGAGGAAATGCACACTTATTCTTATG
    797 SLC22A3 2934560 CGCAGTGGTGTATCAAGGACTTGTCATGCGCCTGGGAATTATA
    GGGGGCAACCTCTATATAGACTTTTTCATCTCGGGCGTGGTG
    GAACTGCCAGGAGCTCTCTTGATCTTACTAACCATTGAGCGCC
    TTGGACGACGCCTCCCCTTTGCGGCAAGCAATATAGTGGCAG
    GGGTGGCATGCCTTGTCACTGCGTTCTTACCA
    798 SLC22A3 2934561 TATTTGGTAAATTCAGAATTGTACCCAACAACATTACG
    799 SLC22A3 2934562 GTTTCGCTCTGTTCAGGTCTGTGTGATTTTGGGGGAATCATAG
    CCCCATTTCTGCTCTTTCGGCTAGCAGCCGTGTGGCTAGAACT
    ACCTCTGATCATCTTT
    800 SLC22A3 2934563 TTCTTAAGAGCCTTCATCTACATTCTTTGTACTAAAAGAGACCT
    ATAATAATTGTTAGGTTCAATAATGATAATGATAGTCATTTATCT
    TATTATAATAACTATTTCATTGATAATTATGATATTAATTTCATCT
    TATTATAATAACTATTTCAGTTTTGAGAGCCAATTCAGTTATAAT
    GAATGGTTTTAATTTACTTTATATTAAAGGGTGCTGATAAATAAT
    GTTCAATTAGCATTCTTTGGGTTCTGAGTTAAATGCTGTGA
    801 SLC22A3 2934564 CAGAAAGTGCTACTGTCCAGCAAAGACAGAGTAGTCCAGGAG
    ACAAGACAC
    802 SLC22A3 2934565 ATGACCTTCAGGACTGCAGCCCACAGCCCAGTGGCAGGCAG
    GCGGGGCCTGAGACTGCGAGGGGAGACAGCCGAATTTCTAA
    AAACTCAGCGACAACAGAATGTGATAACTGCT
    803 SLC22A3 2934566 TTCAAAGCAAGAGGATGCCGCATCCTCAAGCACCTGGTGCTA
    GAGGATGGAGTGCAGTTGTGAGCTGGGCCTGAAGAGAGGTG
    GTGCCAGGGCAGGGCAGGGACTGGATCCGGAAGGGCCTCAA
    GGACATGCCAAGGCTTTGCTCTTTATACACACAGCAGTGGAAA
    GTGACTGGACAGTTTCACCCTGAGGTGGACAGAGCTGGCCTT
    GCATTGTAGAAACACAGATATGCAAGTGGGTTGGAAGGACCC
    CCCAGCATCGTCCCTCTGATGGTAGATATGCAA
    804 SLC22A3 2934567 TTTGTAAGCCAGTCATCAAGCACAGATATCATCAAAAAGTAAA
    GAATATGAAATATATGAGAAATAGAGGCAATAAATGCCCAACA
    CTCATCAGTCCCTAATTCAGCTACTACACCTTCAGTATTACCTG
    TGCTCCTGAGATTGTGTCTGCTGCATCTTTATGGTGGAAGCCC
    CATTGATGGGGCTCCTGCATCACTTCCCAGTGGCCCAGGCAG
    GGATGTTGTGTCAGTAGCCTGAAGGGCCCACAGTGGGAGCAT
    TTAAACCATGCACATTGGCAGATGCTGCCAATCAGGGCTTGAT
    TGCCCAAAGAGGGTTGTTAGGCATTTACCAGC
    805 SLC22A3 2934568 ACTGGAGGAAGGGTTGATCCCTACAGTGAGGAGCCCAAAGAG
    ACAGGCCTAGGAGAAGGCTGGTCCCGGAGTAGACACCAGGA
    CAAGCTTTCCACTGTAAG
    806 SLC22A3 2934569 AGGGGCAGGTAAGTGAGAGTGTCAGTGAGCGGGCGCAGAGG
    GGACTCCC
    807 SLC22A3 2934570 TGGACCCTAAGAAGGAACTCAGTCA
    808 SLC22A3 2934571 TATACAGGGGCCGTGGTGCTACTCAGGGTTTGAGGAAGGGAG
    AGAACCTTTGAAGCTGTGGTAAGGGAGAGCTGGGGCATTGAT
    CTGGGATGCAGAGGTTGCTGTGGTTGAGAGCTACTCCAGTGA
    GCAACATGATGGCTTCAGAGTGAGCAGGCCCCATGGGAGAG
    GGCCCAGCTGTGTCTTCCTGGAGCGGTAACACCTT
    809 SLC22A3 2934572 GTATCCTGGCATCCATCTGTGGTGGCCTTGTGATGCTTTTGCC
    TGAAACCAAGGGTATTGCCTTGCCAGAGACAGTG
    810 SLC22A3 2934573 GTACTGTACAAAATTCAATGCACCCTAA
    811 SLC22A3 2934574 CCCTCCAGAGCTAGATAAGAGTATGCATTGTTTTTTTTAATGTG
    GTTGTGAAGAGAGAAGCATTTTCACATAAGGTGCTAAGACTCA
    GAAGTGATCTAAAGGCAGGAACTGCTGATGTGGGAAAGTGGA
    AATTGCTGGGACATACAGCAGCAGGGGATTAACAGTGTGGCT
    TACTCTACAGAGTGAGGATGCGTCAGGTCTGTCTAGATGGAAT
    GGCATAGGCAGGTTTTCAAGACTGACTACAAAGTGAAATGTCA
    CTGAACAACATGTTATAGTATTTATAAAAAACTAAAACCAAAGG
    TGTTTTCTCTCTGCAGCTGGATAGGAAGACAGATGACACACAG
    ATGATAGATAATAGGTAGATGATAGATAATAGGTAGATGGATG
    ATAGATAGATATAATAGATGATAATCATAGATAGATAAGTGATA
    GTAGATAAATGATAAATAATAGATGATAGATGATAGATAGATAC
    AGATAGATAAATAGACAGGTAGATGATAGGTAATGTCTGGATA
    GATAGGTGGATAGATAAATAGATAATAGATGATAGATAATAAAC
    ATTAGTAGGAAGATAGAGAGATTGAGTTTTGGAGGGGGGTGT
    TTAAATAGGGTATAAGTAAAACTAATACCCAGCCAATATATTAA
    CATGAGGAGTAATGTCAAGAAAAATTCACATTACACAAATTCTT
    TCTAATTGTTTGAAATTTTTTCATTAAAACATAGAGATATGAATA
    TGAGAATGTATAGTACAAGATGTAAAATATTAATATGTGCCCTC
    TGTGGACACAAATGGGCTGGGAAGAGGGGTAGGGAAGGGAG
    GACCATCACTTTCTTGCCAGAGACTTCCATACTGTTTGATTTTC
    TTTAAAAATTAGAACACGTAGTCTTGTGTTGCTTGTGTAGTTTT
    AAAAAATGATGTAACAGCTAATTTAACAACTAAAAAGCAATCTT
    AATAATGACTTAGGAATTAAGAACATGGAGCTCTAAATATTTTT
    AATATATAAAAAATCCTGAGGAACAGCTTTCTTCCCTTTGATTC
    TATTCCACTGACTGCCTTCTGTTTACACAATGAGAGTGATGCTT
    TCATTCTTTATCCCCAAACCAATCAGGATCAGATTTGCAAACTC
    ATCAGGAAAAAATGGAAGAAAAGGGAGTCCTCTGAAATCAAGA
    CTTTTCTACTGCTTCAGTAACATTAAAAATAAACAGCTAGGAGA
    GGTTTTTTTGTTTTTGTTTTTGTTTGTTTTTGGCTTGGGGAGTG
    TGGGTGGAAGGGGGTTGTCTAAATGGTGTGCAAGGAAAATCA
    ATACCCAACTAACATATAAACATGAAGGATTATACCAGCAAAAA
    TTTAAGGTACCCAGATTCTTTCTAATTTTTTTCTGTTTATAATTT
    TTCATAATGAAAAGTTGGGTACATTAATTAATTATACCTAGTCT
    CTATACATGAAAAAAAATATAGTAGAAGTATGGTTTACAGTGCT
    ACAATTTAAGCACATTAATTGTGATCCATGGTTATTTACTCTAC
    AAAAATTACTTAGTGCTAAATTACTAAAACTTGCTAGCATTTCC
    CTTTTAAAAATCACACTGGATTATTTTATCGTTTCTGCTGGTTTT
    TGTTCATGTTAACAGCTCATTTCCAAATATATGTTAATTCAGTA
    GAAGTTCATAAAGAACTTAAATGCTATAATGCTAACAAACCCCT
    GTATCAGAGGAACCAGCCCCCAATATTTCAGCATAGGTTCTAT
    TTTCCATAAGTGTTGGCCAGCTGAGAAATAAAAAGAGTACAAA
    GAGAGGAATTTTACAGCTGGGCCGCTGGGGGTGACATCACAT
    ATCGGTAGGACTGTGATGCCCACCTGAGCCTTAAAGCCAGCA
    AGTTTTTATTAAGGGTTTCAAAAGGGGAGGGGGTGTAAGAACA
    GGGAGTAGGTACAAAGATCACATGCTTCAAAGGGCAAAAAGG
    AGAACAAAGATCACAAGGCAAAGGGCAAAAACAAACATCACAA
    GACAAAGAGCAAAAGCAGAATGACTGAAAAGGGTCTATGTTCA
    GCGGTGCATGTATTGTCTTGATAAACATCTTAAACAACAGAAA
    ACAGGGTTCTAGAGCAGAGAACTGGTCTGACCTCAAATTTACC
    AGGGCGGGGTTTCCCAATCCTAGTAAGCCTGAGGGTACTGCA
    GGAGGCCAGGGTGTATTTCAGTCCTTATCTCAACCGCATAAGG
    CAGACTCTCCCAGTGCGACTGTTTATAGACCTCCCCCTAGGAA
    CGCATTCCTTTCCCAGGGTCTTAATTATTAATATTCCTTGCTAG
    GAAAAGACTTCAGCAATATCTTCCCTACTTGCACATCCATTTAT
    AGGCTCTCTGCAAGAAGAAAAATATGGCTGTATTCTGCCCGAT
    CCCACAAGCAGTCAGACCTTA
    812 SLC22A3 2934575 CCACATTCCTGTAAATGTGGCAGGAATAAGAAAACCCCAGTTT
    CCCGCTCTCACCTTTGA
    813 SLC22A3 2934576 TGTGCCTTGCAGAGATGCACGTGTG
    814 SLC22A3 2934577 ATCTGGTCAAGGGACTAAGCTCCTAGCTGACCATTCATTCTGA
    AGATTGCATGGAGGATGAACATCTGGGAATCCTGTTAATGAGA
    AGGCTGAATCACAGGCACCTGGGCCAAAGGGTGTGAGCATTC
    ATGTTCTCTGCTCACCTTGGTTTCCGCACACCTTCGCAATGTG
    AACAGGTCAGGAGTCCCTCCCGTCCACCTCCTCTGTAACAGC
    TGGGGTTCCAGGCATGGTTTAGGCCCTGTTCCAGCAATAAGA
    ACCAATCTGCTGTACAATCTGAGGACTTGGCTCTGTTATTTACA
    AAATGATGCTGTGGTTCTGAGATTATTTGGGACATTTTTGGCTC
    TCCTTTAGTGGACACCTAGAGCCACAGATTCCCTTCTTTACTAA
    ACAAATCCCATGGATTCTGATTTCTGGGTCTTAGGATTTTAAAA
    GTGAAGGGATATTTTTCTTATATTTGTGAGTTCAGTTCCGATGG
    TGCCCGTGGTCAAAAGCGAAAA
    815 SLC22A3 2934580 ATTGCTGACTCATGGCTGTATCTGGCCTAATATTGTTCTGGTTA
    ATCCATCTCTGACTCATGGCCATATCTGGCCTAATATTGTTCTG
    GT
    816 SLC22A3 2934582 GTGGGTTCTTGTGACTGTACCATTCA
    817 SLC22A3 2934584 GCAAACAGCAATTAATTAGCTAATAGAACAACAAAAGGCCCCA
    TATCCTGTAGCCAATTGAAGATCTGAGTTTAATCAGACCAGTG
    CTTCAAAATGGGTAGAGCCTTG
    818 SLC22A3 2934585 CTGTCCTTTGCATGTGAGTTTCTGCTGGATCCTTTCAT
    819 SLC22A3 2934586 TGCTGGCTACAATTTGGAACTGTGCAGTTTAAATATTTATTTAT
    TTTGTTTTGTTTTTACTCTTTCTAATTTGGATATTAGGTTTTGCT
    TCATCTGTGTTTTTTTTCTCTTACTCAGTCAATAACCATATCTCC
    AAACTAAATTAACGTTACTAAAGTGGGGAATTTCCCCTTCCTAT
    ATTCTCATAAGTGATTGAGCATCTGTCCTCATATAGGACTTGCT
    GCCTTGGAGGGGAGGGGCCAGACCTGGGAAAAAGAGGAGCC
    ATGAATAACTCTGCTTCCTACATTTGGCTTCTTCTCTTCCTCCA
    TATCCATGATTTATATATGTGAAGGAAGAACAAGAAATAACTTA
    ATAGGCCATTTGTCAATGAGAGTACAGTGTAGGAAGGGTGGA
    AAGTGAATATAAAATCTAGATTGGGGCTTCTGGTTTCCTGTTCA
    GCCTATAAGGAGCTTAGAATTTGCCACTCAGTCTTGACAACAA
    GTAAAATGCTGAACAAACTGAAAAATCAATAATTCTTCTCAGAT
    CCATAAGAGAAGTGAGATTACAGGGCAAACTACTACCTTCAGC
    ATCACCCCGCACCCCCAACCCCACTAAATAGAAAGACAGGAG
    AATACAGAGAATCATAACACAGGCGCAGAAACCTCCTTGAGAG
    AGCCAGGGTAGATAAACATGAACTGTAATTGATGAATTCCTGG
    AGGATCACTGTGGATGACCTGAAGGATTAAAAACTCTAGAGG
    GACTCACTCAAAGGAGGGCCCAAGCTTTTGTGATTTTTTTTTTT
    TTTTTTTTTTTTTTTGCCACCTGAAGCTCTACAAGGTTCCAAAG
    GTGAATATTAAGGAAAATCCCTCATGCTCTGGCAGCCAGAGG
    GGAAAAGGAACAATTTTGAAATATGCCAGAATATCGTTCTTAAC
    AATGTCTGCCCTCAGGAGAAGATGTTTAACCAGAGCCTAATCT
    TCTGGGGTTTTCTGAGAGCCTCATTGATCTGGGGGAAGGGAA
    ATACCAACTCCAGCCCCTTCTAGCCTTCCAAGTGGAGAAAGAG
    AAACACCAAATTCTAGCCTCCTCTAGCTTTCAACTTGGAAGAA
    GGGAAATACCCAGCTCCAGCCCCCTCTAGCCTTTCTCCCCTA
    GTTCAGAGGAGAGGGATAGAGAAGCATTTGTGAAGTTCACCG
    TTTAGAGACATAGGTTC
    820 SLC22A3 2934587 ATTAATGGCAGACACCACAGATCCAGGAAACTCAAAGGAAATC
    AAGCAAGATAAACATAAAAAAGTATACCTAGTTATATCGTAGTC
    AAACTACAGAAAGCCAAAGATAAAGGAAAAATTCTGAAAGAAG
    AGTGGGGGGATAATGTCTTACTATAGTAAAAGAGCAATGATAA
    AAATTACACCCTACTTCTTTTCAGAAACCAGGTAAGCAAGAAG
    AAAGTGGAATACTTAAAGTGTCAAGAAAAAAAATCCAATCTAGA
    ATTCTATACTGTGCAAAGTTATCATTTAAAAGTGAAGGAGAAAT
    AAAGACTTTGTTAGACAAAAATTGAGGGAATTTGATGCCTTGTA
    ATAAATGTTAAAAGAAATTATTTAGAGAGAATGAAAATGATCTA
    GGTTAGAAATCCAGATCTACATAAA
    821 SLC22A3 2934588 AGGTACTCATACTACTCATGAAGTGATACAGTGTTATTT
    822 SCIN 2990412 CATATGGAGACCTTTTCCCTACAAAACACTTTTTTGAGAATTAG
    CAAAGCATGGTGG
    823 SCIN 2990413 TGGATGACTATTTGGGTGGCAAGCCAGTGCAGAATAGAGAAC
    TTCAAGGATATGAGTCTAATGACTTTGTTAGCTATTTCAAAGGC
    GGTCTG
    824 SCIN 2990414 CCCTCCACACGTGTTCAGTTAAAGTGTGAGGAATACCCTCCCC
    AGACAAACATCACAGATTTCCGAAATCAAACACGCTCCAGCAA
    GTGTTCTGCACACCCCACTG
    825 SCIN 2990415 GGCGTGGCATCTGGATTAAATCATGTTCTTACGAACGACCTGA
    CAGCCAAGAGGCTCCTACATGTGAAGGGTCGTAGAGTGGTGA
    GAGCCACAGAAGTTCCCCTTAGCTGGGACAGTTTCAACAAGG
    GTGACTGCTTCATCATTGACC
    826 SCIN 2990416 AAGCTTTTTCATTTATTCGTCCAGCAGCATCT
    827 SCIN 2990417 GTTAGTATAGAAACAGCACTCCTCTTCTAAAAAGATAC
    828 SCIN 2990418 GGTGTGGTTCCTCGTGCAACAAATATGAACGTCTGAAGGCAAA
    CCAGGTAGCTACTGGCATTCGGTACAATGAAAGGAAAGGAAG
    GTCTGAACTAATTGTCGTGGA
    829 SCIN 2990419 TGGCTTCCATATGGAATGCCGAGTATGTCAGCCTG
    830 SCIN 2990420 TCTTAGGGGAAAAGCCAGAGCTTCCAGATGGAGGTGATGATG
    ATGACATTATAGCAGACATAAGTAACAGGAAA
    831 SCIN 2990421 GGGCTGCCAAACAAATTTTCGTATGGAAA
    832 SCIN 2990422 GTAAAGATGCTAATCCCCAAGAGAGGAAGGCTGCAATGAAGA
    CAGCTGAAGAATTTCTACAGCAAATGAATTATTCCAAGA
    833 SCIN 2990423 CCAGAAGGAGGTGAAACACCAATCTTCAAACAG
    834 SCIN 2990424 GCTTCGGGAAAGTTTATGTCACAGAGAAAGTGGCTCAAATAAA
    ACAAATTCCCTTTGATGCCTCAAAATTACACAGTTCTCCGCAG
    ATGGCAGCCCAGCACAATATGGTGGATGATGGTTC
    835 SCIN 2990425 CGTGTAGAAAACAATGGTAGGATCCAAGTTGACCAAAACTCAT
    ATGGTGAATTCTATGGTGGTGACTGCTACATCATACTCTACAC
    CTATCCCAGAGG
    836 SCIN 2990426 TGCGTTCCTGACTGTTCAGTTGGATCGGTCCCTTGGAGGACA
    837 SCIN 2990427 GGCAAAGAGCCTGTTCACCTACTGAGTTTGTTCAAAGACAAAC
    CGCTCATTATTTACAAGAATGGAACATCAAAGAAAGGAGGTCA
    GGCACCTGCTCCCCCTACACGCCTCTTTCAAGTCCGGAGAAA
    CCTGGCATCTATCACCAGA
    838 SCIN 2990428 TCCTGAAACTGCCACAAAATAGTGGCTACATCTGGGTAGGAAA
    AGGTGCTAGCCAGGAGGAGGAGAAAGGAGCAGAGTATGTAG
    CAAGTGTCCTAAAGTGCAAAACCTTAAGGATCCAAGA
    839 SCIN 2990429 AAAAAGACTACCAGACCTCACCACTACTGGAAACCCAGGCTG
    AAGACCATCCACCTCGGCTTTACGGCTGCTCTAA
    840 SCIN 2990430 AAGAGATTCCAGGAGAGTTCACCCAGGATGATTTAGCTGAAGA
    TGAT
    841 SCIN 2990431 ATTTATTTGGATTGGCAAAGATGCTAATGAAGTTGAGAAA
    842 SCIN 2990432 GTAAGCTCAATCGATGGACCATTATAGCAGTAACCGGGCACC
    ATTATGACCGAGTGTCTGGCTTGCTCTTTGCCACCATGTCTTA
    CAAAAATAC
    843 SCIN 2990433 GAGGACACCAATTGTCATCATAAAACAGGGCCATGAGCC
    844 SCIN 2990434 ACAAGGCAGTTATCTCATTGCTGTTTTGGGAGAGGAACGGGA
    AAAGCTTTTTGCTTATTTGTCTTTTGAAAATTAAGGCTGGGCGC
    GGTGGCTCACACCTGTAATCCCAGCACTTTGAGAGGATGAGG
    TAGGCGGATCACTGGGGTCAGGATTTCGAGACCAGCCTGGCC
    AACATGGCGAAACCTCGCCTCTACTAAAAATACAAAAAAATTA
    GCTGCGCGTGGTGGTGCACGCCTGTAGTCCCTGCTACTTGGA
    AGGCTGAGACAGGAAAATTGCTTGAACCCAGGAGGCTGAGGT
    TGCAGTGAGCCAGGATTGCGCCACCACACTCCAGCCTGGGCA
    ACAGAGACTCTGTCTCAAAAAAAAAAAAAAAAAAAATTAACCTC
    AACCAAACGCCTATTTTTTAATGCTTAGTTTTGGCTTGAAATTC
    TTCTTCACCTGGAGTTTTCTTACGTTAATACATTAAAATAACCT
    GAAGGAAACTTTCGTTATGGGCCAATATTAGCTCTTATGGAAA
    CTGATTTATATCTTTTTTATGACCTTTCAAAAGTAAAATACTATG
    CATAATCTAGAAAGATTTGTCAGATAGGAAATTTTATAATGCAT
    TAGCCATTAGTCAGAGTTGTTTTTTAACATGCCAGAGAAAAAGT
    TGTAATGCCTTGGAAGTTATTCTCTTTTCTATAGATTGTGTTCA
    AAAGATGTGTATACTTGCAATAAGGTTTATGTTAAGGTGGCTTT
    AACAATTGGTTGCTA
    845 SCIN 2990435 GAATTGTATTGTTATCCACTTAGATACATGTACATGTACAGTAC
    ATGTTTAATA
    846 SCIN 2990449 AAACACTATAAAGTGGCGGCGAATAAGGTTCCTCCTGCTGCTC
    TCGGTTTAGTCCAAGATCAGCGATATCACGCGTCCCCCGGAG
    CATCGCGTGCAGGA
    847 SCIN 2990450 CCGACGCACCAAGGCCGGCGAGGGGAGGGCGTAG
    848 SCIN 2990451 TTATTTGTTGCTTTCGGGCACTGGCTTATTTTCTCTATGATTGC
    GGGAATTATTGTTCTGGGCTTCTTTAAAACAG
    849 SCIN 2990452 GATTCTACCCGCACCATGCTGCTTGTGGGTCTGGTAGACAAAA
    ACTCCGCTTCATTCGGAAGCTGGCGTCCTCAG
    850 SCIN 2990453 CTACATCTACATCTTTATGGTATTCTCA
    851 SCIN 2990454 TTAGGGTTCGGATCCCAAATCGGCAGAAGAATGACA
    852 SCIN 2990456 GCGGGAGCTATACCACGAAGAGTTCGCCCGGGCGGGCAAGC
    AGGCGGGGCTGCAGGTCTGGAGGATTGAGAAGCTGGAGCTG
    GTGCCCGTGCCCCAGAGCGCTCACGGCGACTTCTACGTCGG
    GGATGCCTACCTGGTGCTGCACACGGCCAAGACGAGCCGAG
    GCTTCACCTACC
    853 SCIN 2990458 GTTCTACTGTTGTATAGTGCTATGTGGTGAATACAGTTAACAAT
    AATTTATTGTATATTTTTTCAAAGCTAGAAAAGGATTTCGAGTG
    TTCCCAGTACAAATAAGTGATAACTATTTGAGGTGATTGATGTG
    CTAATTACTCTGATTTGATCATTACACACTTTATACTTGTATCAA
    AATATCACTCTGTAGCCAATAAATATGTACA
    854 SCIN 2990459 TTTGTTAGCCATTAAAGCAGTTTGAACTTATCCTACCCATCCTC
    TTTTCCATCCCTCAGGAGTAGGGGACATATATGTAATATTGTA
    GCCTGGGGGTGGGGAGTGAGGATGAGGATGGATGTGTGAGT
    CTGGTTTGTACTCATCAGTCCTCACTAATCTATAACCTTCGTTG
    AGGTGTAGTCATTCCATTAATTCTTGAGCTTTCGGCTTTGGCCT
    CTGTTC
    855 SCIN 2990460 AGCCACTACTGCATTCTTCTCAGGAACTCTGCTTTGTTTTTCCC
    AGACTACCCTAGAATTGTGGGACACGGTATCCTCATCGTACCA
    GTGCCCCTTGGCCCAGTGGCTTGGATGCTACCCTCAGTCATTT
    CTGCTCTAATGCTTAGGCTCATGGAGGGGTGTAGGACAAATC
    AATTGGAAGGGAAGTGTGCTGGGCTCTTCTCAAAGATTGATTG
    CTTTGGGTTAGATTTCCTACTTTTTTCAGTCTTCTTTTTTACTTT
    TTGAACCAGACAAACTAGTCTTACACCACCTCACATTCTTGCCT
    ACTCTGTGTTTCCTGCAAGATACACTCCAGCCCCTAAGACCCA
    CACCGTACTGCTTAAGATG
    856 SCIN 2990462 AGCTGCTGTCCCTTAGTATTGAATATCTCTATTTTCTTTTAATCA
    TAGAATTCACTGATATTTTAGCAGATAATGTGGCCGTCCAGGC
    AGGCATGAGATTTCTCAGCCTTACTTCAACTTGATTATGACCAT
    GTGACCCAATTCTGACATTTGCCTAAAGGAAAATTTACCTAAAA
    AGGCGTTTTCTTGCTATGGCA
    857 SCIN 2990463 TTCTGAATGCATCACGGCAAAGATGCATGTACTCATGAAGCAT
    AAAATTAAAAATATGATACATTCACTACATGAAAATATGATATAC
    GGTTTTTCTTCAGTATCCGCGGGAGATTGGCTCGAGGAACCC
    CATGGATACCAACATCCTTGAATGCTCAAGTCCCTTATATAAAA
    CGGCATAGTATTTGCATAAAACCTATACCATTCTCCTG
    858 AZGP1P1 3015108 ATGGTGTCTGTCCTGCTGTCTCTGCTGCTGCTTCTGGGTCCTG
    CTGTCCTCCAGGAGACCCGAGATG
    859 AZGP1P1 3015110 TCATGCCTTGCAGGAAAGGTTTGGTTGTGAGATCCAGAATAAC
    AGAAGCACTGGAGCATTCTGGAAGA
    860 AZGP1P1 3015111 AGATGTTCTTCACGGTGGAAACGGCACTTACCTGACCTGGTTG
    TTGGTGCATGTGCCC
    861 INHBA 3047577 GAGGCAGCCCTTTCTTATGCAGAAAATACAATACGCACTGCAT
    GAGAAGCTTGAGAGTGGATTCTAATCCAGGTCTGTCGACCTTG
    GATATCATGCATGTGGGAAGGTGGGTGTGGTGAGAAAAGTTT
    TAAGGCAAGAGTAGATGGCCATGTTCAACTTTACAAAATTTCTT
    GGAAAACTGGCAGTATTTTGAACTGCATCTTCTTTGGTACCGG
    AACCTGCAGAAACAGTGTGAGAAATTAAGTCCTGGTTCACTGC
    GCAGTAGCAAAGATGGTC
    862 INHBA 3047578 CTTTTACTCTGAACTAGGTGGGCGCATTTCAAAAATTCGGATG
    GGAAAAAGCCTGGAAATTCCAGTGAATATTCAGCAAGGCCCTC
    TTTCATTGTACAGGGATCAAATTTCCTCCTCTTTTTTGTGCCCC
    CTCCCACTTCTACAAGTTATCCCCTGTGGGGAAAACAGGATGA
    TAATCAAAACTCTGGGCTGATGTTTTTCCAACTTAGTGTCTATT
    GGAATCAATCTTAAATCAGAAGCTTTTTCAGAAAAATAATATTT
    AGGCCAGAATTAGAGTTGAGTGTATTTTTTAAAAATGATTAAGG
    CTTGGTTGTGAGAAATATTACCTGTACCAGCTGGGAAAAATAA
    TGTCATCACTAACTAAAAGATAATTAATTTGAGAGAAAGTGTTA
    AGAGAGGGAGAGTAAGGAAGAGAACAGTTAAGAGGAGGCAG
    AGGTGAGGGCAGTAGTAAAAATCTCTAAAATTTTAATTTACAGC
    CAAAATTCTTCATGTGTAAATTTGTATTGATTCAGATGCAGAAA
    TGAAAAAAAAACACCTTTGTTTTATAAATATCAAAGTACATGCT
    TAAAGCCAAGTTTTTATCTAGTTTATTCTAGTACTTAGCTTGCC
    TGGAATA
    863 INHBA 3047582 TGGAAAAAATCCTTAGCCAGGGCTCAGAGATGAAGCAGTGAA
    AGAGACAGGAATTGGGAGGGAAAGGGAGAATGGTGTACCCTT
    TATTTCTTCTGAAATCACACTGATGACATCAGTTGTTTAAACGG
    GGTATTGTCCTTTCCCCCCTTGAGGTTCCCTTGTGAGCCTTGA
    ATCAACCAATCTAGTCTGCAGTAGTGTGGACTAGAACAACCCA
    AATAGCATCTAGAAAGCCATGAGTTTGAAAGGGCCCATCACAG
    GCACTTTCCTA
    864 INHBA 3047583 TATCATGCCAACTACTGCGAGGGTGAGTGCCCGAGCCATATA
    GCAGGCACGTCCGGGTCCTCACTGTCCTTCCACTCAACAGTC
    ATCAACCACTACCGCATGCGGGGCCATAGCCCCTTTGCCAAC
    CTCAAATCGTGCTGTGTGCCCACCAAGCTGAGACCCATG
    865 INHBA 3047584 GGAAAAGGAGCAGTCGCACAGACCTTTCCTC
    866 INHBA 3047585 GTGAGCAGTGCCAGGAGAGTGGCGCCAGCTTG
    867 INHBA 3047586 TTGCTCTCTGAAAAAGTAGTAGACGCTCGGAAGAGCACCTGG
    CATGTCTTCCCTGTCTCCAGCAGCATCCAGCGGTTGCTGGAC
    CAGGGCAAGAGCTCCCTGGACGTTCGGAT
    868 INHBA 3047587 AGACGCTGCACTTCGAGATTTCCAAGGAAGGCAGTGACCTGT
    CAGTGGTGGAGCGTGCAGAAGTCTGGCTCTTCCTAAAAGTCC
    CCAAGGCCAACAGGACCAGGACCAAAGTCACCATCCGCCTCT
    TCCAGCAGCAGAAGCACCCGCAGGGCAGCTTGGACACAGGG
    GAAG
    869 INHBA 3047588 GGCTGTCATTTGTTGACCCCTATTCAAGAGGGTCTGTCACAGA
    AGACTCCTGCTTGCCTGAAATTTACGAGTGCATGTAAATG
    870 INHBA 3047589 CTGGAACTGAGTGGTTGCTAAATTCAACTGCCCTGACAATGTG
    GGGATTTCCTGTCCATTAGCAGCGATTGCTATTTGACATATGTT
    TCTGGTGCCCATTAATCTGCCCTGTAATGGGTCAGAGGCAAAA
    ATGGGGGATTCAGAGGTACTAGGTGGCTCTCTTAATTTAATAG
    AACTCAATGCTAAGGACGCCTCTATTTGTTAATAAGTAATCAAG
    TCATTGGCTACTTTCTGCTAAACACTAGACTATGATAGTGACCT
    TAGACCCCGGGCATTCTAAACCAGGCTGGCA
    871 INHBA 3047590 CAGATTTGTGCATGGGATACATGTACAGCAGACAGTTGTAAGG
    AGGTCCACGGTCATGGAAAAGA
    872 INHBA 3047591 GCTGGATTTCCGTTAACTATAGAAATCCAGGCAGGGAGATCCT
    CCCAGGGAGTTGCAA
    873 INHBA 3047592 AGAACTTGAAACTGTGCCTAAAATTTATAG
    874 INHBA 3047593 GCCCTTGCCTCAGTGAATTTACCACTATCATAATCACAGTGTG
    CAGAGTGTGTTAAATTAAGAACAGAATCCACAGTACGCAATGC
    875 INHBA 3047594 ATGAGGTCGGAGTCAGAGGAACTCCCCTTACCAC
    876 INHBA 3047595 CTCCAGGCTAGTTATCCAAGGCTTGGGAGGTTTCCCTCGGCC
    TTCTCCTAAGGCCTTGGCAGGACCCTGCCACCCTAAAATCAAC
    TGCTGATTGCCTTTTTAGATTTAAATGATTAAGCTCTGCTTATG
    GGAATCTTCTTCTCTTTTATTTTGTTAAGAAACAAACAACAACA
    ACAAAACCCACACCAATTCTTAGCAAAGGGGAATATCGAATTC
    AGATTTTGAAAAAATAAGTCATCATGCTTCCTAAAATAAGACAG
    CTTCTCCCTCTAACTGCTCTCTCTGCTCTGGTATTCTATCTA
    877 INHBA 3047596 AGGATGTACCCAACTCTCAGCCAGAGATGGTGGAGGCCGTCA
    AGAAGCACATTTTAAACATGCTGCACTTGAAGAAGAGACCCGA
    TGTCACCCAGCCGGTACCCAAGGCGGCGCTTCTGAACGCGAT
    CAGAAAGCTTCATGTGGGCAAAGTCGGGGAGAACGGGTATGT
    GGAGATAGAGGATGACATTGGAAGGAGGGCAGAAATGAATGA
    ACTTATGGAGCAGACCTCGGAGATCATCACGTTTGCCGAGTC
    A
    878 INHBA 3047597 TGCTTTGGCTGAGAGGATTTCTGTTGGCAAGTTGCTGG
    879 INHBA 3047598 CACACAAAAAAACCTGCGCGTGAGGGGGGAGGAAAAGCAGG
    GCCTTTTAAAAAGGCAATCACAACAACTTTTGCTGCCA
    880 INHBA 3047599 CCTTCTCTCTTACTCGGAGACAGTCAGAACTCTCCTCCCTGAC
    AGCCACAAACC
    881 INHBA 3047600 GTGCCAATACCATGAAGAGGAGCTCAGACAGCTCTTACCACAT
    GATACAAGAGCCGGCTGGTGGAAGAGT
    882 INHBA 3047602 TTGGGGCATCTTGAAAGTGTCACTGCAGTATAGCAATCTCTCT
    CAGGTAATATAGAGATAAAGGGAATATAATAAATTGACCTGTTA
    TTTATTATCTTTTTCATACCTAGGACATTCCGAGGCTTAATATAT
    TTCTGAAGCCTACAGCCCTGATAAACATCAATCCCACGTCAGT
    TTCCAGCAGTCTCATCTCCCCACACCCTTCTGCAATGAAAGCT
    AATGTAAAAGAAAGAAATATGCACTGCTTAATAAGTCAGAATAC
    AATAGAACTTGTAAAATGTACCTGCATATAAGGTAGACATTAG
    GAAGACTTGAATCTCTCTCTTCCCCCTGTTCTCCTGAGCATTAT
    GGCAACAGCATTT
    883 INHBA 3047604 ATGCCTTTAGGGGTTACACGCTCTCTTCCGTGAATAATGGGGA
    AGAGCGGCCACAAGAGGGCGCGTTCCAAAGACTTTTGCTCCT
    TGTCAGTGTATCCAGGGAAAGGCAGTTGCGCGTACTGGAAGC
    CCCTGTCTGTAGCGCCCTAATCTTGGTGATTATCAGTTACCGC
    CTGCTC
    884 INHBA 3047606 GAGGGTTGCTTCCTGTCTTTGTATACCAACCTCCACACATGAT
    GGATTCAATGACAGCTCGTATCCAGTTGCCTTTAACCATGTCA
    TATGACTAAGTATACCTATGCCTTTGACCACTTTTAACCGCACT
    ACCGTTACTAGCAATATGCCCCTCTTTCTGACTTACTGGACTT
    G
    885 INHBA 3047608 ACCAGGGCATCTTTCCGGGGGTGCAGATAGCCTGCTGGCTGT
    GTGGCTTCCCCTTGCAGGAGAAGCCCTGGTGTCCTACAAGCT
    TCCCAGTTTGGCTCTCTCAC
    886 INHBA 3047610 AGTGACAGTCATTTTTACCTTTAGAAAATGTCTATAAGTGCACA
    GGCACCACATTCAAGACAGGGAAGAGCTACTTTGGGGGACAG
    TTGTCATTGAACCAGCAGTTACTT
    887 INHBA 3047612 AGCCGGAGGAAAGCCGCGGCATTTTCGGGTGCTAGGGGAGC
    AGA
    888 INHBA 3047613 ATTAGGTGATGGTAGCGGACTAGCCGACGGAGGGCAGGCAG
    GGGAGGGGGAGAGGACTTTACAGAAAAGGAATTCTCGGTCGA
    GCTCTGCCTGGAGATGACTGGCTTACACTTACTAAACCCAGCG
    GGTCA
    889 INHBA 3047615 ATTGATGTTTCTGGAGCTGAAACCCCAAAGGTGTTAGGTTACT
    TGTAACAGAAAAAGTCTTACAAATAGTTGTTTTGGAAAAGGGG
    ACAGTATATATAATTCAGAAAGCATTGTTAACCTGTGCAAACTG
    TAATTATAACTTAGTGTCACAATTTTCTTGCCCTCTTCCCCTTG
    CACTCAGATCTTATCTTGTAGTAATGATATTTATTAACTCTTTCC
    ACCTAAACTGCATTGCTTGACTGTAATGCTATGAACACACTAG
    GTG
    890 AZGP1 3063591 CACAGTCAATGGATCCACAAGGCCTGAGGAGCAGTGTGGGG
    GGACAGACAGGAGGTGGATTTGGAGACCGAAGACTGGGATG
    CCTGTCTTGAGTAGACTTGGACCCAAAAAATCATCTCACCTTG
    AGCCCA
    891 AZGP1 3063592 AGCCCCTCGTGGTGCCCTGGGAGGCCAGCTA
    892 AZGP1 3063593 TCTTCACAATGGAAATGGCACTTACCAGTCCTGGGTGG
    893 AZGP1 3063594 GGCAAGAGGGAAAGCGTCAGCCTTCCCTGATATTCTGGAAAG
    TCTCCCGGGGCTGGGGGTGGGCAGGTACAGAGCTTCGAGCT
    CTGCTGATCGCTGACATCCAGGG
    894 AZGP1 3063595 AGGGTAACACTGTCTGTAAGAGGCAGAGCTGGGACTCAAATT
    CCAGATTTCAGATTCCAAATCCCATCGTTTTTTATCTCTACAAT
    GATGCCTCCCATCTGGGTGGTGGAGAGAAGGGAGGCGTGTA
    AAATGTCAGCCCCAGAAGGACAAGAGCAAGCCAGTGTGAGCG
    GAATTGATGGCTGCAAGCTGAGACTTGGATTGGAGACGTAGT
    GAGACTCAGGATTGTGCAGTGCTGCAGGGAAGTGGTTGCTGG
    ATAGAGGCATGGGCTGAACCAAGCAGCTGGACTGAGACTGGG
    GGACAGAACTCCAAAGCCCACTGAGATGTGGGAAAACATGGA
    GAAGCACACGGAGCATTCACAACTTATTGCCGTCAGAGTC
    895 AZGP1 3063596 GAGCCCAGAATAAAAGACGATCTCAGGCTAGGAGCTCAGGCA
    ACATCTTAGTCCGGTCTCATCTGTTCCTGGATGTCCCTCAGAC
    CCCCAGCTTTCATCTTTTAGGATTTATTCCTTCCCTGGGATAAT
    ATAATTTGTGGTCCAAAAAGAACATCATCAAAATTTCAGGCAGA
    ATGGGCCAGGAAG
    896 AZGP1 3063597 CCAGTCTACGTGCAGCGGGCCAAGGCTTACCTGGAGGA
    897 AZGP1 3063598 TGAGATCGAGAATAACAGAAGCAGCGGAGCATTCTGGAAATAT
    TACTAT
    898 AZGP1 3063599 GATTTCGCCATATCACCCTGGCTGGTCTGGAACCCCTGGGCT
    CAAGCGATCCACTCGCTTCAGCTTCTCAAAGTGCTGGGATTAC
    AGGCATGAGCCACAGCGCCCAGGCTGTAGCTCTCTTAAGGAG
    GAACATATCTCATCTGAGACAAACCTGAAATGCCAAACCAAAC
    TGAGTTAGCCCCTCTCTGTCTGTTGTATATATTGGAGTAATAAC
    CTATTTGTCTTGATAAAGGGATTGCATGCTTGAATTGCAAAAAC
    CTTTATTTCTTTTGGGTTGCCCAATGTGCAAGACTAAGAGT
    899 AZGP1 3063600 CATACGATGCAGACCCAGGAAGGGCCACCTGCGCTATGGTCA
    GAGGA
    900 AZGP1 3063601 GGAGACCCTGAAAGACATCGTGGAGTATTACAACG
    901 AZGP1 3063602 ACACTGGGCTGTCCAAGCATGTTGAAGACGTCCCCGCGTTTC
    AGGCCCTTGGCTCACTCAATGACCTCCAGTTCTTTAGATACAA
    CAGTAAAGACAGGAAGTC
    902 AZGP1 3063603 TGCTGCTTCTGGGTCCTGCTGTCCCCCAGGAGAACCAAGAT
    903 AZGP1 3063604 CCCGTCCTGGCACTCCCATTGGCCTGTAGATTCACCTCCCCT
    GGGCAGGGCCCCAGGACCCAGGATAATATCTGTGCCTC
    904 TRIQK 3144581 GAGTCTGTCACAGTTTCTTTGTGTAA
    905 TRIQK 3144582 GCCGGTGTTATTTACTAGATTCTTCCCTTTGAACTCACAGACTC
    AAGAGACAGACCAAGAGTTCTTATATACTCACCACAGCGGACC
    AATCCAAGTGGCATTTTTAGGAAAGGTTGCAGCATTTAATGCC
    ATGTGGTATGTCTGTTCGTCAAGTGGGTGGCAAGGGAATATCC
    AAGCTGGCATTTTGGATATGATGGGCCTTTTACTTTCCTGAGT
    GACATGCCACATGTCAAGAAATACTGCTCCCCACCCCCCCACT
    CCCATCACATTTACGTGAACAATTTTCATTTAGTTATTTCCCGT
    TCCATATGGTGTTAAAACAGTCGTATTAAATAAAGATTATTTCT
    AGTTTTCAGTGGTAATTTAAATGAGAGGATATGTAATAATTGCT
    TATTAGATACTTATCCAAATGAAATATAACAGAGTTTACAGTAC
    TTAAAATGGCTGGTTATGGTCTTGGAAATGTTTGAAAATTCATT
    ATCCTGAAAAAAACTTTACCATTCTGTTTTACCCTTGAGGTATT
    TTTTGGGGAAAAATGTTTTTGATAACTATTAATCTAAATATAGTA
    TAATTATAGGCAAATTTCACTGCCTAGTTTTATTGATATCCTGA
    GTCTACAGCTAGTCCATTCGTATGACTGATTGATTTATGATAGC
    TCCAGAGAACCATAAATTTCAAAGGCTAAACTCTCTGATTTTAG
    TAAATAGTAGGTAAAGTGACACAATATATGTTTACACAACACTG
    TTTTCATGAAATGCAAACTTTGCAAAACTCACATTAACTGGGAA
    GCAGCCAACCCTCTGTAGAGAAATCCCAGATTGGGAGTCTGG
    TTTGAATCTTTGAAGACAGAAAGGTGATATCCGGCCTGCTGTT
    TTAAAGGGACCACACTTTTGAATACCTACTGGTGTTTGGCAGA
    AATCTGAGACTGGCACCAGACACAAATTTTAGACATGGGTATC
    TTCCCTCCAGTA
    906 TRIQK 3144583 TGCTTTGACAGCCACCCTATACATGGTACATTTAGATGAAATG
    GGAACCAGATCCTAAATTTTTCAAATGTCATTGCCAATTTATGT
    GTATAATTCCATCACTTCCTGATGAGTAAGTCTATTTTTGTTCT
    ATATACATCATAAGTTAGTATATATTCTTATTTACAGAAACATGC
    TCAAATCACATTCAGAAAGAACAAAAAGTCATGGGAAATTTTTT
    ATTTTACAACAAAGCCCTGCTTTCTTTCTGGACGTATTTTACAT
    CATTAGAGAGACTATCTGCACATACATCTACCATAATCTTTTTC
    CTTCTTTGCCAACTGTTCAGTGCACATGTGCTGCATCAGAAAT
    GGCACCTGGATGACAGAAGCTCAAAGAGTCACATATGTCTCTA
    AAATAGAGTTCTTTTCCTCTTGGGCTGTCTGAACTGGTGTAAAT
    AGAAGCTCAGTTGATCTTGGTTTTAATTAACTTATTACTCTATTA
    ATATAACCTTGGAATTCTATTCTAATTATGTTGTTCTGGCTGCT
    TGTAGTATCAGTTCGCCCCTCTTGTTAGGGAGATATGTAACAA
    TCTGTCATTTAATTGAGCAGTCTTTTTCACATAACAGTAATAGC
    AAAAATCCTACCTACTCAGAATCATCTTCTTAGGTTGTCTCCTA
    AATCTGAACAATACAGTTGTTTTATAAAATTACATTTTGTCTCTT
    GAGATTTAATCAATTAGAACTCTTTAGGGAGAAAATAAATAATA
    GAAGAAAATATATGCCTCATATTTCATATGTAATTATCTGTTGAT
    ATAATTTTTCAATGTATTTTGTATTTGTGGGAGCATAATGACCT
    GTACATTC
    907 TRIQK 3144584 CTCACCACGGATGTTGACCCTGATCTGGACCAAGA
    908 TRIQK 3144585 GAAGTTGGCCTTGTACTTGCAGCTATATTGGCACTACTACTGG
    CTTTCTAT
    909 TRIQK 3144586 GCCAAGGTATTACTACCAAGCTGTAACAGCTGTTGAACTGCCA
    GATGATATATTTGGTTGTCTTCCAGAATTTGCTATTATGATCAC
    GAAACACTGCCTTCTTTTCGCTCCTGATTG
    910 TRIQK 3144587 TTTACGAGCAACCAAATTAAAAGCAG
    911 TRIQK 3144588 AAAGGAGGCATTACAAGTGATATTTCAGAAATAAAAAATACAA
    GCTACTTTGGGTAACTGAATGCCAATAAATTAGTTAACCTAGA
    GGAAATGGATAAATTCCTAGACTCATACAACTCACTAAGATTG
    AACCATG
    912 TRIQK 3144589 ACCTGATGAGCAAAATGGCTGAACAGAATCCTCTAGCGATCAT
    CCCCCCACAGGAACACCAAACTGAACAACTATTCACACAAAAC
    AAGCACCTTCATAAGAAGCAAAAAACAGGTGAACCGGTACCTG
    GCTTTAACATCGTATTAAGGAAAGAGGCACTGAAGAGGATTTG
    AAAGACAATCTTGAGTCACCTATACCACCCCTTTCCCGTACTT
    CACCTTTGGCCATGTGGTGTTAAGAGACAATCTGTGCACTTGC
    ATGAGGGAGAGTGCAGTGATTGTGGGAATTTGCCTTGGAACT
    CAGTGCTGCCCTGTCACAGTGGAAAGCCACACAGGGAAGAAC
    TTAGCTGGTGCCCACA
    913 TRIQK 3144590 CCTCCTAACTATGCATGTACCTTTCACATTTTATTGCAAAACTA
    TTAGGCTATAATAAGAACATGCATCAAGCAGGGACACCAATAT
    CTTGCCTGGCATTTAATTATCAAAAACACCTGTGCTACAATAGT
    ATATTCACGTGTATAATTCTTTATATGTAGACATTTAAGTGCTTG
    AATTATTTAAAAAATCTACTGTCTGGATAAAACTTCCATA
    914 TRIQK 3144591 GCTACTATAAAACTTCCTGTTGATCAGTACAGAAAACAA
    915 TRIQK 3144592 TTGCTTGTGACATGACTAGTTCTTGTCTGACTTCATCTTCATCT
    TGTAATGCCTTACTAGAAGGAATGAGGAACAACTTGCAGACAC
    CAGTTTGAAGAATACTTACGACTGTAACATTGTATTCTATGAAT
    AATGACATATTGTAATTGAGGCTAGGAAATAGAGTCTGTGCTA
    GGAAGAAAAGGAGAATATGAATGTGGTAATCAGGTTGTACTCT
    CTGCTGCAATA
    916 TRIQK 3144593 AAACAAGTTGGTTGGATAGCTGTCCTCCATGCAGTCATTCATG
    ATCCAGGCTGTCATCATCTTCATCACTCATGTTCAGAGTTACC
    CTAGAGGTCATCTCCATTTCATCCAGATAAATGAGTATGCAAG
    GAACGTTTTTA
    917 TRIQK 3144594 CTGCTGGGATGTTGGCTTAAATGACTAGAAAGGAATTGGGGG
    AAGCATAATGAGTAACCATTTTGGCAGATAGCCTCAGTGATTT
    GCTTTAAGAAAAAATTAAGCATAGTCTGTAAAGGCAAAAAACAA
    AACTAAATTGAAAAGGGAATAATATCTTGAGTGTTTATTCATTT
    AATCCAACTTCTCTCCTAAAATGGAGTGGTATCTTCCCTAGCC
    ACACACA
    918 TRIQK 3144595 GCTAATGTCTCCCTGGATTTCTTGGGAGTTTGCTATCTAACCAT
    CAAAGCAATAGAAATGAATGATGATTACTGCAAGGCTTTGAAG
    AACAAAGAAAAGTCAGAACATTTTAAAGGTTCTACATGTCTGA
    GTC
    919 TRIQK 3144596 ATGGGGACTCCTCCATTTACCAAGGCTACAGCTGACTCCTGGA
    GAGGCCTGAGTACTCATTGCAGTTT
    920 TRIQK 3144597 CCTTTTGTTTGATTAAGCTCTTAGCGTGCAGTG
    921 TRIQK 3144598 CAGTCTGAAGGTTTGTCGGGTAATAGTCAAGTGGATATGAAAC
    TGCCCTTTGTGAACCTCAG
    922 TRIQK 3144599 GGGAAGCAACGTCAATCAGTGGTACTGGAAAATGAGT
    923 TRIQK 3144600 TTGGTGTTTGCCTCATTTGAGCCTGGTTTGAACAGTTGGCCAC
    CTTTGGCCAAAACTCAGTGATTGGCACAAAAGTCGGTTGCAGT
    CTGTTTACACATGGAAAGGTTACAGTTTACTGTGCACAGAGAA
    ACCATTAGGTCACATTTAGAATATATAAGGAGGCAGCATTGGG
    CTAAACTTGACAATTGCTTATT
    924 TRIQK 3144601 CGATTAGAGATTAAGTTGCCAGCTTTAAAAATGGGGACTAGTG
    TGTAAGCCTTTTGTATGTACATATGTACATGCACTAAGTATGTA
    AATACATACATATTGTGAGACTAGGTTCTCACAGTAAATATCTG
    ATAAAAATCCCTGGGGGAGGGGAAAAGGAACCATTTTGAAATA
    CACCACAGCACTCTGTTCTTAAAAAGGTCTCTCCTCAAGAGAA
    ACTAGTGTATATAAAAAACTTACTTTCTAAATGTAACTGTTACTC
    TACTAATCCAGAGTTTCAAACATGTGTGAACAATAAGATAGCAT
    ACATAATTTGGCATTTTAAAAGTTATCCAAAGATACTTTTGTAG
    AAGCCACTTAGC
    925 TRIQK 3144602 TTTTCTGGCAATGAACCTGGGTTCCAAGCATAGGTTTTTCTTAT
    GGAAGGCAGTTTTACAATAAGGAAATGTTTTTACTTGTATTTAT
    TTTGTGATATTTCAGCAAATCCAAATAAATGTAGTAACATTTATA
    AAGCTATACATTTATAACTGATTTATTTGTTAAATATTTAGTATT
    ATCAATTGTCTGTTAAAGATTTGTTGCTACATTAAATGCTTGGT
    CTGTCTTGATGTTCAGTACATTATTATACTTTGGTATATTGCAAT
    ATTTTGATAATTATGTATTGGTTTTAGTCACTGTTCCTGCATATT
    AAGTAATAAACAGATTAATATCATCATAAAATATCATTTACTCAG
    CAATATTTCTTAGTAAATTGATACATCCATTTTTCTTATGTATTG
    TGGAGAGAGGAAATATGACATAAAATGGAAGAATATGGGCCTC
    TGTTTATCTCTGACCTCATCGCTTACTGTTCTTTCCCACTCCTC
    ACTCTACTCAAAGCCTTTAAATAGCTCTCCATTTTACTCAACAT
    CAAATCTAAATAAAGCTCTTAAACTGGTCTAAATGTCTCTACAG
    TACTTGAACCTTTGTTATTTCTCTAATTTCATCTTCAACTCTGCT
    CATCGTTATTCTCTTGCCCTGGGCATACTGCCTCCCTTTTTGTT
    CTCTGAACGTGCCAGGCATTTT
    926 TRIQK 3144603 CAGGAATGCAAGCACTGCTACCTAACTAAAGACCTTGGCTTTG
    GAAACATCTTACCCCTTGGCAGCTCTCCAGAGTTTAGACTTGG
    CAGCATCAAAGAC
    927 TRIQK 3144604 TCTTCCAACGTCAAAGCCAGCAACATTGCAGCAATCTGACTTA
    TTTTGTTGTCATGTCTCCTGACCACATCTGGAAGGGTTATCTAC
    TTTTGAAGACACATCCAGATAATTCAGGACAATCTGTCCATTTT
    GAGGTTCTTC
    928 TRIQK 3144605 GGAGCTTGGTGTATTCCTGAATCCATCAGATGTTGGTGTCCGC
    GTGGATGACTAGGAAAAGGGGATTGGAGATTAGGTTTCTTCTA
    CTTGGAGTTCTCTGCTGCTTGTTTGAGCTTAATAAGCCTCCTG
    AAGAAGTTGAAGCAATTTATTGCTAGAGGAGCCCCAATGTATA
    ATCTCCCTTTCATTCTCTACTGTGGAGAGGTGTGCTAAACCTG
    TAGAGCTGTTTTTGCTTCACTCGGCTCATACTTAATG
    929 TRIQK 3144606 CCGGGAATGAAAGCGGGCGCACCTCTTTAGCGAGCCCTAAAG
    CGTTTGGGAGACGATCGTTCCGTCCCTGGGAGCGGCACTTGG
    TGGGGCTGGGCGGAGGGAGGCTCTGCAAGAGAAACCCGGAG
    TCCG
    930 TRIQK 3144607 CCTGAGTGACAGAACCGTGGACAGCAACATTTCCCACAGGAC
    ACGAAGTTTGTCGGCCCTTGCCTTGGCAG
    931 TRIQK 3144608 GATGTCCAGCAGCTAGTAGATGTAGAAGTGCTGTTTGTTACTG
    GGTATGTCCTTGCTGTCAGGGAAGTGCACCTGTTTCAG
    932 TRIQK 3144609 GCTAAAACTGGTAAGGTGCCCATGGGTTCCATGGAACCTCCA
    CATCCATTTACAAAGCCCTCTAGGAAGACTGGGCTAGTTGCTT
    TCTTCAGCTTCAGTATTATGG
    933 TRIQK 3144610 ATACACCTTAAGCAACCAGGTATCCTTGATTGTGGGAGTTCCT
    TGGAACATGAGCAGA
    934 TRIQK 3144611 TAACCTGGACTTTCATAAAACTGGCATATCTTCTGTTTTACATG
    GAAAATTATTTTATCTTAAGTTTCCATTTAGTTGATTAAAAATAG
    GGTTATGAATGTTAAATAAGTGATGATTTATTGCAAAGGAAATA
    TGTTTCGAAAGGTCGAATA
    935 TRIQK 3144612 GAGTCCCCTGGTCTTTACATATTAAAAATATTAGGCTGTCCTG
    GAAATGTTGTCTTATTTGTCTGACTTCACCACTAAAGTATGAGT
    CCCTTAAGGTTGTCATTTCATTTTTGTAGTCCTTATGCCTAAAA
    TAGCAACA
    936 TRIQK 3144613 TATCCTGCTGGTGAGTTTGGGAAAAGGAATTGGATCGGGGCA
    TGCAGCGTCTCCTTATCTGCAAACAGGCCTGCCGGTGGGAAT
    CATGGTACTGTTCCCCAGCAACACAACATTAATTTCAGAGGGA
    GATGCTCTGCCACTACAGGAGTG
    937 PABPC1 3146782 TGACACCGCCATGAAAACGATCAGCACCGTCGAATCCTCACG
    CCCCACTCAAGTTCCTTGATTGCTTCAATAATGTCCTCCGTAG
    CAAAAGGATCTAGTTCAAAATCGGGAGTTACATTTCATTGTCAT
    GCCTAAAACGTAAGAATTGCTCATTCACTTTGGAGCAGTTCTT
    CAGTCTATCCTTGATTTTCATGACCTTGACACTTTTGAACATTA
    TAGACCAGTTATTCAATAGAATATCTTTCAATCTGGGTTTGTCC
    GATACCTCTTTATTATTAGATTGAAATGATACATTTTGGTGGAA
    CTATCACAGAATTGACATTGCATTCTTCTCATTACATCCTGTCT
    GGTGGCCTG
    938 PABPC1 3146783 AAAGGAATCCTAGTGACGAGTTGTCTTGAAAGAGAAGAAAAAA
    AGTTAAAAAACAGAAGAAAAAGGAGATCTTTAACCGTGCTGGG
    TATAAAATTCTAAGTCAGGATACTTTTCTTCCTTTGAGCATCTTT
    GACTGCCTGGGGAATATCAGACATTCTTTTAGTGGCCTTGTGA
    TCATTTTGCTGAGCTTGTTCATATTCCTGTTC
    939 PABPC1 3146784 GCATCAAACTGAACCGCGACTTGTCCAAAGTCACATAGTAAGT
    GGAGGTGGAACTGGGCTTTAAATCCAAGCCTACATACAGACTA
    GAGTTCACACTTTTAGGCTTGGCATAAACTGCCTATAAACTATA
    AAAAAGTAAAACTCCATAAAATCTCAGGTACTTGGACTACCTTC
    AGTCTGA
    940 PABPC1 3146785 AGTATGGGTGACTATTCTTTACAAATCCATTTGTGATGCAGTG
    GTAATTTGGTGGCACTGCAATTATGGCCAGCAATGAAGATTAT
    AAAATAATTGCCTGAGGAACCAAGCTCATGTGCACTAAAAAGA
    AGCAGG
    941 PABPC1 3146786 CTGCACTTGGCCCTACACCGATGAATTTTT
    942 PABPC1 3146787 TGCTGAGCCGACATAAGAATCTTTTATGAAAAATGTACTGTTAA
    GTTCAGGGGGTCTATTGGTTTTATGTAAAAGGCACAAGACAAT
    TCCTGTAGTGCATTTTATGAGTTAAGGTTTCCATACGGATTATT
    GAAACAATTTGTTACATGTATTTGTTACATGATCTTAATATTTCA
    TGTACAAGACTGACACCCATCCACTTTTGAAGATAAGCCAGTT
    TATGGGGTTTTTTTTTTTGCGGGTAGAGGTTGGGTCTCCCTAT
    TTTGTCCAGGCTGGTCTCGAATTCCTGGGCTCAAGCATAAGCA
    TAAGGC
    943 PABPC1 3146788 CCTTATGTACCGAGCAAATGCCAGGTCTAGCAAACATAATGCT
    AGTCCTAGATTACTTATTGATTTAAAAACAAAAAAACACAAAAA
    AATAGTAAAATATAAAAACAAATTAATGTTTTATAGACCCTGGG
    AAAAAGAATTTTCAGCAAAGTACAAAAATTTAAAGCATTCCTTT
    CTTTAATTTTGTAATTCTTTACTGTGGAATAGCTCAGAA
    944 PABPC1 3146789 TGATCAGGGACCATGAAAAGAAACTTGTGCTTCACCGAAGAAA
    AATATCTAAACATCGAAAAACTTAAATATTATGG
    945 PABPC1 3146790 CAACCTGGAGTGCATTGACGCGATCTCGGCTCACTGCAACCT
    CCACCTCCCAGGTTCAAGCAATTCTCCTGCCTCGGCCTCCCG
    AGCAGCTGGGATTAACAGGCCCATGCCTGCCACCGTGCCCAG
    CTAATTTTTGTATTTTTACTAGACTTGGGGTTTTGCCATGTTGG
    CCAGGCTGGTCTGGAACTTCTGACCTCAAGTGATCCGCCCAC
    CTCGGCCTCCCAAAGTCTTGAAATTACAGGCGTGAGCCACTG
    CGCCCTGCCAGATTTTGTATAGTAATATATATATAAAATGACCT
    GTCACAGGTTGGCTTTCATAGTTTTACCTTTCCTTTTTGGGTGG
    TGCCCTTGGGTCTCTACTACTGTCTTTCATCACTCCCAAGAAAT
    TGAGTAGTGCAGCCAGGATCAGGACCAGGGATTGGCAAATGT
    TTTTTGTAAAGGGCCAGATAGGAAATATTTTGGGCTTTGAGGA
    CTGTGTTATCTCTGAAATGATCTTGTTCCAGTGTTACCATGTCA
    AGAC
    946 PABPC1 3146791 ATGAAGCTGTAGCTGTACTACAAGCCCACCAAGCTAAAGAGG
    CTGCCCAGAAAGCAGTTAACAGTGCCACCGGTGTTCCAACTG
    TTT
    947 PABPC1 3146792 GTACAGTTGTAAAGTCTGCATAATAACCTGTGGCGCTATTTATC
    CCCATTTTATAGATAGGTAAACTGAAACAGGCTGAATAATTTGC
    CAAATGCTCACACAGCTCTTAAGTGGCAGAGCCTGGCTTCAAA
    TCCCATCAGCTCCAACAGCCATACTCTCAACTGCTGCTGCTTT
    CTCTAGTGGAGAAAGAGAAATATTTTTCGAGTGTGGGGAGGA
    CAAGGAAAGAGTAGTGCAGGGGAGCGATTCATAATTCT
    948 PABPC1 3146793 GCCATGCACCCTACTCTTGCTGGTA
    949 PABPC1 3146794 TCCTCAAGAGCAAAAGCAAATGTTG
    950 PABPC1 3146795 AATGGGTCCACGTCCTGCAGCTGCA
    951 PABPC1 3146797 TGCAAACCTCAGATCGAAGAAGACAGCATAAACACTTTTCACT
    CAGTAAGTTTTCCCAGTTAATGTA
    952 PABPC1 3146798 TCAGGTATATTTATAAGTGTGGGCGGCAAACCACCC
    953 PABPC1 3146799 AACCGTGCTGCATACTATCCTCCTA
    954 PABPC1 3146800 CAACCAGAACCATGAAGGTTTTCGTATTTGGTCATT
    955 PABPC1 3146802 TTATGATGGAGGGTGGTCGCAGCAAA
    956 PABPC1 3146803 CTGACCTGGCTAGGGTAATGCATATGTGTAGTTTGCCCTTAAT
    AATTGGGTATTAAGGAAAAATTGTGAACTCAATGGGTAAATAC
    AAGATGATTAAGCATTAACAGGGTTTAGTTATTTGATTCAGTGA
    TTTATAATTGTCTAA
    957 PABPC1 3146804 GGAGTACGATAGAATTTATTCCTGAATGTTTTTGTCTTCAGTGT
    GTTCCCTGGATATTGTTTAAATTGAGTGTTGTGCATCAGCATAT
    TTTGAATGTATGAAGCATGCATGTTTTTCTGTTTCTTGAGACAG
    GATCTCATTATGTTGCCCAGGTTGGAGTGCAGGGGCATGCCA
    CAATCACAGCTCACTGCAGCCTCAGCCTTTCCTGGGCTTAAGC
    CAAGCTTGTCCAACCCGCTGCTTGCAGGCCACATGCGGCCCA
    AGAATGCTTTTA
    958 PABPC1 3146805 GATGATGGTATTGATGATGAACGTCTCCGGAAAGAGTTTTCTC
    CAT
    959 PABPC1 3146806 TTATGTTGGTCGAGCTCAGAAAAAGGTGGAACGGCAGACGGA
    ACTTAAGCGCAAATTTGAACAGATGAAACAAGATAGGATCACC
    AGAT
    960 PABPC1 3146808 TGCCTTGGCCCATACATCTTCTAAATTTCTGTAATCAAATGTGA
    TTTTTAACCTTTTCTGCCCCACTTGCCTGAGATACCACCCGCC
    TCAGTTACCTGTCTCTCCTACTTTAGAGGGAGTTAGGGGAAAA
    CATGTCTTCAGAAATAAATGCTTCCTCTTCCAGGTAGTTCACCT
    GTGTCTTTAAAAAGAATTTTTTTTCCCTGTCTTTCAAATTCCTGT
    ATTACCTATGTCTTACCAAAGAGTCCAACTATGTATTCCTTCCA
    CTCCTGTTGAAAGTCGGGTAGGCCAAGGCTTAATAAATACTTG
    TTTCTTAATTGATACAAAGAAAATCAAATTGGTCTTAGCACAAT
    AGCTCATGCCTGTAACCCTAGCGCTTGGGGAGGTCAAAGAGG
    GAAGATACTTGAAGCCACAAGTTTTAGACTAGCCCGG
    961 PABPC1 3146809 TTTGTTGGACGATTTAAGTCTCGTAAAGAACGAGAAGCTGAAC
    TTGGAGCTAGGGCAAAAGAATTCACCAATG
    962 PABPC1 3146810 TTAGAGTACACGATTGGGAAGTTTAAATTTTTATTCTAGGAGAT
    GGCAAAGAAAGCGCAAGCGCCACTTTAAAATGACGATGAAAG
    CTTTTTAATTTGATAGAGGTCTTTTTATTGGCATGGTACACATG
    CACTTCCACTCATTTGTATTGATGGGAGTGATCCCTTTAACCCT
    AGGTTAGCTAGAGAAGA
    963 PABPC1 3146811 GTTATAAATATCTAGCTAATCATATTTTGAATCTTATTTTTAATA
    ATTCCAAATCCATTCATTTTAAGTTAATATTTGTCAGGGAGAAG
    TTAGATGCACATAAGATAAAAGAATAAAAACATTTTAAAGATGA
    ATAACAAAAATTCATGTAGTTGTACTGGAGTGAAAATTAATAAG
    CTAATCTTGATTTTTACAATTGAATTTTCTACACAGTAAGTGTAA
    CATACA
    964 PABPC1 3146812 TGAAAATGGTTCCAAGGGCTATGGATTTGTACACTTTGAGACG
    CAGGAAGCAGCTGA
    965 PABPC1 3146813 GCTACATTTAGTTTAGTGCTTGAAATAGGAACTGTGCAGTAAT
    GGATATCTTTATTTCACAAATATCCAGGTTAGATGGCTAACAGA
    TTGTCTCTCAACA
    966 PABPC1 3146815 GGAGCGTGCTTTGGACACCATGAATTTTG
    967 PABPC1 3146816 TTTAGGAAATGGACTAGTTTTCATATAATATTGTTAGTTATTAGC
    AATGAAATGACCAATTTTAGCAAGTAGTTGGGAAGAAGTTAAA
    ATATTTAAATCTATAAACTACTTCCAGCTTGTAGATAAATCTGTT
    GCGTAATGTC
    968 PABPC1 3146817 AGGCAGGATGTATCAATGCATGTCAGATGGGGGTAGATAACTT
    TGGGGCAGGTTATCACAACCTAAGAGTTGGTGGAGAAAACAT
    GGGAATGAATTCTAGAGACCACAAAATGAAAACTTGAAAGTGT
    TACTCTTTCTCAGCTTAACGTTTTTAAATCCAAAAAACAATTTTT
    ACATTTCTTGGGATTCGAAGAGTTGAACTTCAGGTTGCCGTGG
    TTACAGTGTACAGTATATATTATCAGTCTGTACCAGTAGACCAG
    TACCCTAACTACTGAAAAGAATATGGCAGTTTTCCATTTGTCTA
    GTTTCTGTATGTACAATTTACTATCCAATTAATTACTTAAGTGGA
    TTTCTTGTTCTTTTTTAAAAACTTATTGCTACATTGATAGGCAGA
    ATAGCTTCTGAAAGTGACCAGTTTTCAATTTCATAGGAAGAGG
    TGACTCATTGAAAAATAGCTCAAGCAAAGTCAGCTAAAAAAAA
    AAAAAAACTAGGGAAGCTGAGTAGGTGTGGTCAATTGATAATG
    AGCTAACAGCTGATTATCACTATATTCTAGAAACTGGAACTTTC
    ATTTATAAAAAAAGAGGTGGCCGGAAAATTCATCCTGTC
    969 PABPC1 3146818 TGTGGCAGCCGACCACTTTGAAGGCCAGTTTTCTCAGGCAACT
    TAGACCATTTTTAGTCAAATTTTATCTTAGATTCACAGTACTGG
    TGGTTTTCGAGTATATTATGTTACCTTCTGAAATAGTTCCTGTC
    GTTTTGAGGGGCTTTTCTTTATAAAATAGTCAACTTTGGCTATA
    AAATGTTACTTTAGTGTAATTCCAACTGGACCAGTCTTATCTGT
    AGCATGCAAGAAGTTCAAGTTTCTCTTTTATTTTTAAAAGTGGC
    CCATGATACCTGTAAATC
    970 PABPC1 3146819 CTACGAGAAGTTCAGCCCGGCCGGGCCCATCCTCTCCATCCG
    GGTCTGCAGGGACATGATCACCCGCCGCTCCTTGGGCTACGC
    GTATGTGAACTTCCAGCAGC
    971 PABPC1 3146820 GTCGCGGCCTGTGGCCCTGCGGGCAGC
    972 PABPC1 3146821 CCCGGCACTCGCTCTCCTCCTCTCACGGAAAG
    973 PABPC1 3146822 GATTTTTGTCCCTCTGCGCTTGCTCCCCGCTCCCCT
    974 PABPC1 3146823 TCGCTCCCCGCCGGCAGCCGGCAGCCAGCGGCAGTGGATCG
    ACCCC
    975 PABPC1 3146824 CCAAGAAGGAACCAAGAGACCGAGGCCTTCCCGCTGCCCGG
    ACCCGACACCGCCACC
    976 PABPC1 3146825 GCTGGCTCCATCTACGCACGTTTCGGAAACCGGGCCCGGAGG
    GGACCACGCCCGCTCACCCGTGCCCGGCGTCCCCCGGAGCT
    GGGGCTAGAGGAGCCGGGCCGGCCGCAGCGGGAAGAGGCC
    ACAGGCGGCCGCGCACGTGGGGGGTGGTTAGCGCGGAGGA
    ACCCGGAAGCCCTTTGCACCGCCCACCGCCGCGGTGACGGG
    TTAACGCTCCTCCTGGTGGAGGCAGGGGCGGGCGGGGCGGA
    AGGCGGGGACGCCTCAGCCAACACCCCCGAGGACCGCCCGC
    GAGCCGTCCTCCCCACCCCCACGGACGCGACGCAGCGCGGG
    CTCCGCTTCCCCGGCCGCGGCGCCTGCGCAAAAGCCCCGCC
    CCTTCGCCCGAGCCCCACCCCCACACCGCAGCCTCCACCGC
    CGCCACCTCTCCCTTCCTCTCTGCTCTTTCCTCCTGTTTTCTCT
    TCCCTCCTCCCCCTGGCCTCCGCGTCTCCTCCTACTCCGGCG
    CTGACGCTCGCGTAGGGGCCCTGGCGTCAGACGCGCGGGGG
    CGGGGCGAGTGCGGCGCGGGGTATAAGTAGAGGGTGCAGGA
    GGCGGTGCTTCCCCTTCTCCCCGGCGGTTAGTGCTGAGAGTG
    CGGAGTGTGTGCTCCGGGCTCGGAACACACATTTATT
    977 PABPC1 3146826 AGGCACCGCTTCTGCGGCCGACGCGCGTGGCGGCGGTGCCG
    GCTGGGACTCGTAGTGCGGTCCGG
    978 PGM5P4- 3159288 ACTATGTTGTGAGCCTGCGAAAGAAGTTTGTGTG
    AS1
    979 PGM5P4- 3159289 ATGGAAAACTGGGAGCCGCCTTGGAATCTACAGGGCCGG
    AS1
    980 PGM5P4- 3159291 CGACCTCGACGGCCGTCCTGCCGAAGAACCTGCCGTCGCTG
    AS1 CCCGCCCCCGTGGTGCGGCCCTGACGGTCGCGCAGGCCGAC
    GGACGACAGCGCGCTCCGGATGAAGTTGGGCGGGTAGCT
    981 PGM5P4- 3159293 AGCCTCCTCCAAAACAGCACACTTTCCG
    AS1
    982 PGM5P4- 3159294 TGGTTACAATGGTACTTTCAGCCTGTCCGAATTATGTATTGCC
    AS1 CCTCCCCTTTTTATTAATAACATTGAAGTGTGATGGGACAACCA
    CTGAAGCCGTCAGTTGAAACCTGCTGGGACTTTTTAGCCATTC
    TCTTCAACATAAAGAATGGGTGTTTTTGGAGGGGGTGAGAGG
    AATGGGGAAATGTTGTCAAAGAGTACAACGTTTTAGTTGAGAC
    AGGAAGAATATATTTTGTTGAGATCTACAGCACAGCATG
    983 PGM5P4- 3159295 GCCTACCTAAAATATTGAATGCTGTTAATAAATCTCCTGAGGC
    AS1 CAGCATAAGAAGGTGATGGGCAAAACTAAT
    984 PGM5P4- 3159296 TTGTGTATCTGCGTTCCTTTCAACAAGTGTGACTTCCTCCATG
    AS1 GCATCATTCGTGAGCGTAACACAGAGCTCAGC
    985 PGM5P4- 3159297 GCTCTGAGAGGCTCTTCCTAATAGAACTGCTGCTTCAGTTTAG
    AS1 CTTGAAAAAGCCCACACCCAGTTCCTAATGACAAACATCTGAA
    CACCGGGTCTTCCCACGAGCAAGACCATGCTATGCCTCCTGC
    TCGCTCTGTTCTATAAGCAACCCACAGATTGCTCCCTGTGAAG
    A
    986 PGM5P4- 3159298 AGTAAATCCATTTGCTGATTGCAATA
    AS1
    987 PGM5P4- 3173158 ACTATGTTGTGAGCCTGCGAAAGAAGTTTGTGTG
    AS1
    988 PGM5P4- 3173159 TGGTTACAATGGTACTTTCAGCCTGTCCGAATTATGTATTGCC
    AS1 CCTCCCCTTTTTATTAATAACATTGAAGTGTGATGGGAAAACCA
    CTGAAGCCGTCAGTTGAAACCTGCTGGGACTTTTTAGCCATTC
    TCTTCAACATAAAGAATGGGTGTTTTTGGAGGGGGTGAGAGG
    AATGGGGAAATGTTGTCAAAGAGTACAGTGTTTTAGTTGAGAC
    AGGAAGAATATATTTTGTTGAGATCTACAGCACAGCATG
    989 RP11- 3175548 CCTCAATGGGAACCCTGGTGCAGAA
    159H20.3
    990 RP11- 3175571 GTGCGGGGTGGTGGCACTGTCAGCAGGGACCACTGGGAAGT
    159H20.3 TGAGGATGAGGACATCAAAAATAAC
    991 RP11- 3175573 AAAGGTTACCAGTTCACCAACTGTGCTTTACGGTGAAAAACA
    159H20.3
    992 RP11- 3175574 CCACCATGACAGATGACCTGGCAGGTTATG
    159H20.3
    993 SETP14 3190668 AGAACAGCAAGAAGCGATTGAACACATTGATGA
    994 5ETP14 3190670 ATATAACAAACTCCGCCAACCATTTTTTCAGAAGAGGTCAGAA
    TTGATCGCCAAAATCCCAAATTTTTG
    995 SETP14 3190675 AGTGGTGATCCATCTTCGAAGTCCACCGAAATCAAATGGA
    996 5ETP14 3190678 AGAGAGCTTCTTTACCTGGTTTACTGACCATTCTGATGCAGGT
    GCTGATGAGTTAGGAGAGGTCATCAAAGATGATATTTGGCCAA
    ACCCATTACAGTACTACT
    997 PGM5P4- 3208467 GGGAGCAGCATTCCACCAGACCCTGATTTAGCAAGATATTTCC
    AS1 GTATCATTCCCCCAACCAGCTGGAA
    998 PGM5P4- 3208469 CCAGACGTACAGAGGCTGGGAGCCATTGTGGTGTGCTATATT
    AS1 GATGACGGCAGCAGTGGG
    999 PGM5P4- 3208471 TTGTGTATCTGCGTTCCTTTCAACAAGTGTGACTTCCTCAATGG
    AS1 CATCATTCGTGAGCGTAACACAGAGCTCAGC
    1000 PGM5P4- 3208473 CTTAGAGGGCCCCACAGTTGTTTGCTG
    AS1
    1001 PGM5P4- 3208475 TGGTTACAATGGTACTTTCAGCCTGTCCGAATTATGTATTGCC
    AS1 CCTCCCCTTTTTATTAATAACATTGAAGTGTGATGGGACAACCA
    CTGAAGCCGTCTGTTGAAACCTGCTGGGACTTTTTAGCCATTC
    TCTTCAACATAAAGAATGGGTGTTTTTGGAGGGGGTGAGAGG
    AATGGGGAAATGTTGTCAAAGAGTACAATGTTTTAGTTGAGAC
    AGGAGGAATATATTTTGTTGAGATCTACAGCACAGCATG
    1002 PGM5P4- 3208476 AGCCTCCTCCAAAACAGCACACTTTCCG
    AS1
    1003 PGM5P4- 3208477 AAAAATGAGCAGGTGCGGGATGTGCGCAGAGTCGGAGAAGA
    AS1 GTCCAGGGCGCCCGGAGTGGCTCCAGGAACGACGGAAAC
    1004 PGM5P4- 3208478 ACTATGTTGTGAGCCTGCGAAAGAAGTTTGTGTG
    AS1
    1005 ASPN 3214846 TCATGTCTTAGAGCCCGTCTTTATGTTTAAAACTAATTTCTTAAA
    ATAAAGCCTTCAGTAAATGTTCATTACCAACTTGATAAATGCTA
    CTCATAAGAGCTGGTTTGGGGCTATAGCATATGCTTTTTTTTTT
    TTAATTATTACCTGATTTAAAAATCTCTGTAAAAACGTGTAGTGT
    TTCATAAAATCTGTAACTCGCATTTTAATGATCCGCTATTATAA
    GCTTTTAATAGCATGAAAATTGTTAGGCTATATAACATTGCCAC
    TTCAACTCTAAGGAATATTTTTGAGATATCCCTTTGGAAGACCT
    TGCTTGGAAGAGCCTGGACACTAACAATTCTACACCAAATTGT
    CTCTTCAAATACGTATGGACTGGATAACTCTGAGAA
    1006 ASPN 3214847 CTAATTCAATTGCAAGAGTGGGAGTAAATGACTTCTGTCCAAC
    AGTGCCAAAGATGAAGAAATCTTTATACAGTGCAATAAGTTTAT
    TCAACAACCCGGTGAAATACTGGGAAATGCAACCTGCAACATT
    TCGTTGTGTTTTGAGCAGAATGAGCGTTCAGCTTGGGAAC
    1007 ASPN 3214848 TGACAACTCTTAACTGGCTGGAAGGGGCCACAGATTCCTTGG
    AGAATCTAATAAAGATTTAGATCTTCCCAAGAACAAAAGTTTTC
    ATCTTCCAAGGAGCTTGAGAACAAAACTGGGCAACAAGCCACT
    CTGCCTCTTCTCTTTTTCTTTCCGGTGTATCTTTAAACAAGTTT
    CGTTCACTGTACTCCTTTGAGATACAAACCATCAAAATGAATGT
    AATATAGGCAGGTGCTAATCTCAAGATCACAACTTTTGCTTTGA
    CTTTTCCAAATGCTGCATTTGGATGTCTGTTTAGCCAGTGACTA
    CAACTTGAGTCCGTCCTCTCTCAAGCTGCCCCATCCCTGATGT
    CATTTCTGCTTAATTTGCTCCACAACTCTGCTTCCAGCTTCTGG
    TCTCTCTTAAATC
    1008 ASPN 3214849 ACATTCTACTTGTGTTCAGTAGATATTGGTATTTTTCTTCAGTTT
    TTATAACACACTTTAGCACACCTCAAGCAAAGACCAAGTAAGC
    AGCAAGGGTGATTCAAACATAATGACTCTCCAGGTTGCATGAG
    GTG
    1009 ASPN 3214850 ATCACAGATATCGAAAATGGGAGTCTTGCTAACATACCACGTG
    TGAGAGAAATACATTTGGAAAACAATAAACTAAAAAAAATCCCT
    TCAGGATTACCAGAGTTGAAATACCTCCAG
    1010 ASPN 3214851 TAGGACAGGCTTATATTCTAACTAGTTTGCGGTGTTTTCAGCTA
    ACTCTATCACACCTAACCATCTGTGTAAGACTTGATGCATT
    1011 ASPN 3214852 GCTTACCACCAACTTTATTGGAGCTTCACTTAGATTATAATAAA
    ATTTCAACAGTGGAACTTGAGGAT
    1012 ASPN 3214853 GATAAATGATATCACATGGAAGCTGTCAGCCAAATCCACAAAA
    GGAGTGTCTCAAACAAATTAATATGGAAATAAATCAAAAGAAG
    AGGGAGAAAAAAGGAGGGAGTATGTTGTACATTAAGAGAGATT
    TCAAGAGCGATAAGAACCAAATGTATTCTGTAAACTTCATTTAA
    TCCTAACTTGAACAAATCAACTGTAAAATGACGTATTTGAGA
    1013 ASPN 3214854 CCGGTACAAAAGTGTGCTAACATTTGTCAGCAGTTACTGAGCT
    TCTGCCAAATTCACACCTCTGCTCGTTTTATCCTAGAGGCTAC
    ACTTCAATCTTCTCTCTGGTTACCCACCTTCCCCATTTCCTAAG
    GGACACAACAGTTCCCTCAACTTCTACAAGTCCTCTCCCAGAG
    ATTA
    1014 ASPN 3214855 CCCAGGCATTTAGCCACAGTTTGAGGTGAAGCCTATGAGCCC
    AGACTGGGCAGCCCCTGGCTCTGGCAGGAATGGACATGCCAT
    TCAAGGCAAGGCATTTTGTACCCAGCTTCTTCCCAGGTGTACT
    GTGAAGACTAATGGGCCAATACACAGAAAGGTCTGAGGACAA
    CATCCAGCACGTAGGAAGTGACCACCTGTGACATAATCATTAC
    CAAGATGAGCACTGTGCTCTTTATCATGGCTTTGTGTGACCCA
    AGGCTAGCACCTCAAGTAGAATGCTCCTTAAGTCTGCCAGATG
    ACCAGTGTTCTAACCCATTACTTCCAAGCTCCCTGTCTGATGA
    TTAGCTGCATA
    1015 ASPN 3214856 TAATAATGGGATAGAGCCAGGGGCATTTGAAGGGGTGACGGT
    GTTCCATATCAGAATTGCAGAAGCAAAACTGACCTCAGTTCCT
    A
    1016 ASPN 3214857 CCTGAACAACAACAAGCTAACGAAGATTCACCCAAAAGCCTTT
    CTAACCACAAAGAAGTTGCGAAGGCTGTATCTGTCCCACAATC
    AACTAAGTGAAATACCACTTAATCTTCCCAAATCATTAGCAGAA
    CTC
    1017 ASPN 3214858 AATACTGGTAAATCAAATCCACTTCC
    1018 ASPN 3214859 ATTCCATTTGATACTCGAATGCTTGATC
    1019 ASPN 3214860 ATGGGTCTTAAGCTTTACCTGTGGAATTCTCATGAGAAAGAGA
    TTAAGATGCAAGTACTGTTTGAGAAAACTTGTTCATGTAGAAC
    GACTGTGGA
    1020 ASPN 3214861 TGCTATTCTGACAATTTAAAGGATGGAAAAAGTCTCATTGAAAT
    TTCAAAAATAATCTGAGTGTATAAGTTTTTTTCATTTAAGTTTTT
    AGGTGGAAAGTACAGCAAACCCCAAAGTACATCCAAACTTATT
    TTTAAAATTAAGAAAATCAAAGGAAAACTAAGGGAATGTTGTCC
    ATAGAACATTTCCTTCTCTTCCCCAGTTAAATCAAAGCATTTAA
    TTTTAATTCCCTTCAGAGAGAATGGACATCACATGCAGTTCTAT
    CTCAGGGTGCTAGCAGGTTGAGACTGTACTTTTCAGTAAAACT
    CCATGATAACAAAATAAGCTGCATGTCTAGAACAATGAAATGA
    GTTATAGAAAGCTTGTGAAATCTCTAATCTA
    1021 ASPN 3214862 TTTGATCTGTTTCCAATGTGTCCATTTGGATGTCAGTGCTATTC
    ACGAGTTGTACATTGC
    1022 ASPN 3214863 TGTGCTCCTATTATTCCTGGCTTTGTGCTCTGCCAAACCCTTCT
    TTAGCCCTTCACACATCGCACTGAAGAATATGATGCTGAAGGA
    TATGG
    1023 ASPN 3214864 TCCTAGACTGGTCTTCTACACTAAGACACC
    1024 ASPN 3214865 GAAGTTTGGGGATATCACAGCTATATTAAATGAAACAGTAAATA
    TATTTTTCAATATTTAAAATATTTTCTAATGTGTATTTAAAATGTG
    TGAATTACTGAAATGTCAATTTTACTTATACATTTGAATATTCAT
    TTTTTTCCTTGATAAATGTCTTCCTTATTATAATGAAATGGCACT
    GAAAAGTTCAAATGGAAATCTATTCAATTCCAAGAAAGAATACT
    TATCAGCAATAGTTTAGCTAGCACTATATTCAATATGAAAGATT
    AGGAAATTTTCACAGCATGTATACAGTCAGAATTTAACACTTTC
    AAAGATTTCCTTTGTCTACTCCCAAAGTAAATTTCTGATTAAATT
    TTAGATTAAAAAATTTAAGCAATGTATTCAATATTCTACTCCCTA
    GTAATCTAAATAGCGCACAGCATTCTTTCATGTTAATCTATTCA
    GAGGTGTGGCACCCAGGAAACA
    1025 ASPN 3214866 TGGACTAATCTGTGGGAGCAGTTTATTCCAGTATCACCCAGGG
    TGCAGCCACACCAGGACTGTGTTGAAGGGTGTTTTTTTTCTTT
    TAAATGTAATACCTCCTCATCTTTTCTTCTTACACAGTGTCTGA
    GAACATTTACATTATAGATAAGTAGTACATGGTGGATAACTTCT
    ACTTTTAGGAGGACTACTCTCTTC
    1026 ARL6IP1P2 3242825 GGAAACGCCTCTTCACACTAAAGGAAGAA
    1027 ARL6IP1P2 3242826 TGACTTCCTTACTATTGCTTCCTGGACTAA
    1028 MKI67 3312496 ACTCGTGAGCACATCTTTAGGGACCAAGAGTGACTTTCTGTAA
    GGAGTGACTCGTGGCTTGCCTTGGTCTCTTGGGAATACTTTTC
    TAACTAGGGTTGCTCTCACCTGAGACATTCTCCACCCGCGGAA
    TCTCAGGGTCCCAGGCTGTGGGCCATCACGACCTCAAACTGG
    CTCCTAATCTCCAGCTTTCCTGTCATTGAAAGCTTCGGAAGTTT
    ACTGGCTCTGCTCCCGCCTGTTTTCTTTCTGACTCTATCTGGC
    AGCCCGATGCCACCCAGTACAGGAAGTGACACCAGTACTCTG
    TAAAGCATCATCATCCTTGGAGAGACTGAGCACTCAGCACCTT
    CAGCCACGATTTCAGGATCGCTTCCTTGTGAGCCGCTGCCTC
    CGAAATCTCCTTTGAAGCCCAGACATCTTTCTCCAGCTTCAGA
    CTTGTAGATATAACTCGTTCATCTTCATTTACTTTCCACTTTGC
    CCCCTGTCCTCTCTGTGTTCCCCAAATCAGAGAATAGCCCGCC
    ATCCCCCAGGTCACCTGTCTGGATTCCTCCCCATTCACCCACC
    TTGCCAGGTGCAGGTGAGGATGGTGCACCAGACAGGGTAGCT
    GTCCCCCAAAATGTGCCCTGTGCGGGCAGTGCCCTGTCTCCA
    CGTTTGTTTCCCCAGTGTCTGGCGGGGAGCCAGGTGACATCA
    TAAATACTTGCTGAATGAATGCAGAAATCAGCGGTACTGACTT
    GTACTATATTGGCTGCCATGATAGGGTTCTCACAGCGTCATCC
    ATGATCGTAAGGGAGAATGACATTCTGCTTGAGGGAGGGAAT
    AGAAAGGGGCAGGGAGGGGACATCTGAGGGCTTCACAGGGC
    TGCAAAGGGTACAGGGATTGCACCAGGGCAGAACAGGGGAG
    GGTGTTCAAGGAAGAGTGGCTCTTAGCAGAGGCACTTTGGAA
    GGTGTGAGGCATAAATGCTTCCTTCTACGTAGGCCAACCTCAA
    AACTTTCAGTAGGAATGTTGCTATGATCAAGTTGTTCTAACACT
    TTAGACTTAGTAGTAATTATGAACCTCACATAGAAAAATTTCAT
    CCAGCCATATGCCTGTGGAGTGGAATATTCTGTTTAGTAGAAA
    AATCCTTTAGAGTTCAGCTCTAACCAGAAATCTTGCTGAAGTAT
    GTCAGCACCTTTTCTCACCCTGGTAAGTACAGTATTTCAAGAG
    CACGCTAAGGGTGGTTTTCATTTTACAGGGCTGTTGATGATGG
    GTTAAAAATGTTCATTTAAGGGCTACCCCCGTGTTTAATAGATG
    AACACCACTTCTACACAACCCTCCTTGGTACTGGGGGAGGGA
    GAGATCTGACAAATACTGCCCATTCCCCTAGGCTGACTGGATT
    TGAGAACA
    1029 MKI67 3312497 ATGAGCGCACGGATGAATGGAGCTTACAAGATCTGTCTTTCCA
    ATGGCCGGGGGCATTTGGTCCCCAAATTAAGGCTATTGGACA
    TCTGCACAGGACAGTCCTATTTTTGATGTC
    1030 MKI67 3312498 AGGAACAACTATCCTCGTCTGTCCCAACACTGAGCAGGCACT
    CGGTAAAC
    1031 MKI67 3312499 ATTTGCTGGGTCTGAATCGGCTTCATAAACTCCACTGGGAGCA
    CTGCTGGGCTCCTGGACTGAGAATAGTTGAACACCGGGGGCT
    TTGTGAAGGAGTCTGGGCCAAGGTTTGCCCTCAGCTTTGCAG
    AATGAAGCCTTGAGGTCTGTCACCACCCACAGCCACCCTACA
    GCAGCCTTAACTGTGACACTTGCCACACTGTGTCGTCGTTTGT
    TTGCCTATGTCCTCC
    1032 MKI67 3312500 GGACAATGTGTGTGTCAAGAAAATAAGAACCAGAAGTCATAGG
    GACAGTGAAGATATTTG
    1033 MKI67 3312501 GTTCAGCAAACGAAACTCATGTAGCAATAACCTCTTCAGATAC
    AGAATTCTGGCAAGTACAGCTGTCCAGACAGACCCTCTTCGG
    CACAAACTAGGAAGCTTCAACTG
    1034 MKI67 3312502 CAGAAGAGTGCGAAGGTTCTCATGCAGAATCAGAAAGGGAAA
    GGAGAAGCAGGAAATTCAGACTCCATGTGCCTGAGATCAAGA
    AAGACAAAAAGCCAGCCTGCAGCAAGCACTTTGGAGAGCAAA
    TCTGTGCAGAGAGTAACGCGGAGTGTCAA
    1035 MKI67 3312503 GAGCCCGGAAACCCATACCTAGAGACAAAG
    1036 MKI67 3312504 TATCCCTGCGCTCCAGACGCCAAAAT
    1037 MKI67 3312505 GAGCAAAGTACCAAGGCATTACCTTGA
    1038 MKI67 3312506 AAGAGGCTGCGCTGCATGCCAGCACCAGAGGAAATTGTGGAG
    GAGCTGCCAGCCAGCAAGAAGCAGAGGGTTGCTCCCAGGGC
    AAGAGGCAAATCATCCGAACCCGTGGTCATCATGAAGAGAAG
    TTTGAGGACTTCTGCAAAAAGAATTGAACCTGCGGAAGAGCTG
    AACAGCAACGACATGAAAACCAACAAAGAGGAACACAAATTAC
    AAGACTCGGTCCCTG
    1039 MKI67 3312507 CCCGTGCTCTAGAAGACCTGGTTGACTTCAAAGAGCTCTTCTC
    AGCACCAGGTCACACTGAAGAGTCAATGACTATTGACAAAAAC
    ACAAAAATTCCCTGCAAATCTCCCCCACCAGAACTAACAGACA
    CTGCCACGAGCACAAAGAGATGCCCCAAGACACGTCCCAGGA
    AAGAAGTAAAAGAGGAGCTCTCAGCAGTTGAGAGGCTCACGC
    AAACATCAGGGCAAAGCACACACACACACAAAGAACCAGCAA
    GCGGTGATGAGGGCATCAAAGTATTGAAGCAACGTGCAAAGA
    AGAAACCAAACCCAGTAGAAGAGGAACCCAGCAGGAGAAGGC
    CAAGAGCACCTAAGGAAAAGGCCCAACCCCTGGAAGACCTGG
    CCGGCTTCACAGAGCTCTCTGAAACATCAGGTCACACTCAGG
    AATCACTGACTGCTGGCAAAGCCACTAAAATACCCTGCGAATC
    TCCCCCACTAGAAGTGGTAGACACCACAGCAAGCACAAAGAG
    GCATCTCAGGACACGTGTGCAGAAGGTACAAGTAAAAGAAGA
    GCCTTCAGCAGTCAAGTTCACACAAACATCAGGGGAAACCAC
    GGATGCAGACAAAGAACCAGCAGGTGAAGATAAAGGCATCAA
    AGCATTGAAGGAATCTGCAAAACAGACACCGGCTCCAGCAGC
    AAGTGTAACTGGCAGCAGGAGACGGCCAAGAGCACCCAGGG
    AAAGTGCCCAAGCCATAGAAGACCTAGCTGGCTTCAAAGACC
    CAGCAGCAGGTCACACTGAAGAATCAATGACTGATGACAAAAC
    CACTAAAATACCCTGCAAATCATCACCAGAACTAGAAGACACC
    GCAACAAGCTCAAAGAGACGGCCCAGGACACGTGCCCAGAAA
    GTAGAAGTGAAGGAGGAGCTGTTAGCAGTTGGCAAGCTCACA
    CAAACCTCAGGGGAGACCACGCACACCGACAAAGAGCCGGTA
    GGTGAGGGCAAAGGCACGAAAGCATTTAAGCAACCTGCAAAG
    CGGAAGCTGGACGCAGAAGATGTAATTGGCAGCAGGAGACAG
    CCAAGAGCACCTAAGGAAAAGGCCCAACCCCTGGAAGATCTG
    GCCAGCTTCCAAGAGCTCTCTCAAACACCAGGCCACACTGAG
    GAACTGGCAAATGGTGCTGCTGATAGCTTTACAAGCGCTCCAA
    AGCAAACACCTGACAGTGGAAAACCTCTAAAAATATCCAGAAG
    AGTTCTTCGGGCCCCTAAAGTAGAACCCGTGGGAGACGTGGT
    AAGCACCAGAGACCCTGTA
    1040 MKI67 3312508 GGAGAACTCTTAGCGTGCAGGAATCTAATGCCATCAGCAGGC
    AAAGCCATGCACACGCCTAAACCATCAGTAGGTGAAGAGAAA
    GACATCATCATATTTGTGGGAACTCCAGTGCAGAAACTGGACC
    TGACAGAGAACTTAACCGGCAGCAAGAGACGGCCACAAACTC
    CTAAGGAAGAGGCCCAGGCTCTGGAAGACCTGACTGGCTTTA
    AAGAGCTCTTCCAGACCCCTGGTCATACTGAAGAAGCAGTGG
    CTGCTGGCAAAACTACTAAAATGCCCTGCGAATCTTCTCCACC
    AGAATCAGCAGACACCCCAACAAGCACAAGAAGGCAGCCCAA
    GACACCTTTGGAGAAAAGGGACGTACAGAAGGAGCTCTCAGC
    CCTGAAGAAGCTCACACAGACATCAGGGGAAACCACACACAC
    AGATAAAGTACCAGGAGGTGAGGATAAAAGCATCAACGCGTTT
    AGGGAAACTGCAAAACAGAAACTGGACCCAGCAGCAAGTGTA
    ACTGGTAGCAAGAGGCACCCAAAAACTAAGGAAAAGGCCCAA
    CCCCTAGAAGACCTGGCTGGCTTGAAAGAGCTCTTCCAGACA
    CCAGTATGCACTGACAAGCCCACGACTCACGAGAAAACTACC
    AAAATAGCCTGCAGATCACAACCAGACCCAGTGGACACACCA
    ACAAGCTCCAAGCCACAGTCCAAGAGAAGTCTCAGGAAAGTG
    GACGTAGAAGAAGAATTCTTCGCACTCAGGAAACGAACACCAT
    CAGCAGGCAAAGCCATGCACACACCCAAACCAGCAGTAAGTG
    GTGAGAAAAACATCTACGCATTTATGGGAACTCCAGTGCAGAA
    ACTGGACCTGACAGAGAACTTAACTGGCAGCAAGAGACGGCT
    ACAAACTCCTAAGGAAAAGGCCCAGGCTCTAGAAGACCTGGC
    TGGCTTTAAAGAGCTCTTCCAGACACGAGGTCACACTGAGGA
    ATCAATGACTAACGATAAAACTGCCAAAGTAGCCTGCAAATCT
    TCACAACCAGACCCAGACAAAAACCCAGCAAGCTCCAAGCGA
    CGGCTCAAGACATCCCTGGGGAAAGTGGGCGTGAAAGAAGA
    GCTCCTAGCAGTTGGCAAGCTCACACAGACATCAGGAGAGAC
    TACACACACACACACAGAGCCAACAGGAGATGGTAAGAGCAT
    GAAAGCATTTATGGAGTCTCCAAAGCAGATCTTAGACTCAGCA
    GCAAGTCTAACTGGCAGCAAGAGGCAGCTGAGAACTCCTAAG
    GGAAAGTCTGAAGTCCCTGAAGACCTGGCCGGCTTCATCGAG
    CTCTTCCAGACACCAAGTCACACTAAGGAATCAATGACTAACG
    AAAAAACTACCAAAGTATCCTACAGAGCTTCACAGCCAGACCT
    AGTGGACACCCCAACAAGCTCCAAGCCACAGCCCAAGAGAAG
    TCTCAGGAAAGCAGACACTGAAGAAGAATTTTTAGCATTTAGG
    AAACAAACGCCATCAGCAGGCAAAGCCATGCACACACCCAAA
    CCAGCAGTAGGTGAAGAGAAAGACATCAACACGTTTTTGGGA
    ACTCCAGTGCAGAAACTGGACCAGCCAGGAAATTTACCTGGC
    AGCAATAGACGGCTACAAACTCGTAAGGAAAAGGCCCAGGCT
    CTAGAAGAACTGACTGGCTTCAGAGAGCTTTTCCAGACACCAT
    GCACTGATAACCCCACGACTGATGAGAAAACTACCAAAAAAAT
    ACTCTGCAAATCTCCGCAATCAGACCCAGCGGACACCCCAAC
    AAACACAAAGCAACGGCCCAAGAGAAGCCTCAAGAAAGCAGA
    CGTAGAGGAAGAATTTTTAGCATTCAGGAAACTAACACCATCA
    GCAGGCAAAGCCATGCACACGCCTAAAGCAGCAGTAGGTGAA
    GAGAAAGACATCAACACATTTGTGGGGACTCCAGTGGAGAAA
    CTGGACCTGCTAGGAAATTTACCTGGCAGCAAGAGACGGCCA
    CAAACTCCTAAAGAAAAGGCCAAGGCTCTAGAAGATCTGGCT
    GGCTTCAAAGAGCTCTTCCAGACACCAGGTCACACTGAGGAA
    TCAATGACCGATGACAAAATCACAGAAGTATCCTGCAAATCTC
    CACAACCAGACCCAGTCAAAACCCCAACAAGCTCCAAGCAAC
    GACTCAAGATATCCTTGGGGAAAGTAGGTGTGAAAGAAGAGG
    TCCTACCAGTCGGCAAGCTCACACAGACGTCAGGGAAGACCA
    CACAGACACACAGAGAGACAGCAGGAGATGGAAAGAGCATCA
    AAGCGTTTAAGGAATCTGCAAAGCAGATGCTGGACCCAGCAA
    ACTATGGAACTGGGATGGAGAGGTGGCCAAGAACACCTAAGG
    AAGAGGCCCAATCACTAGAAGACCTGGCCGGCTTCAAAGAGC
    TCTTCCAGACACCAGACCACACTGAGGAATCAACAACTGATGA
    CAAAACTACCAAAATAGCCTGCAAATCTCCACCACCAGAATCA
    ATGGACACTCCAACAAGCACAAGGAGGCGGCCCAAAACACCT
    TTGGGGAAAAGGGATATAGTGGAAGAGCTCTCAGCCCTGAAG
    CAGCTCACACAGACCACACACACAGACAAAGTACCAGGAGAT
    GAGGATAAAGGCATCAACGTGTTCAGGGAAACTGCAAAACAG
    AAACTGGACCCAGCAGCAAGTGTAACTGGTAGCAAGAGGCAG
    CCAAGAACTCCTAAGGGAAAAGCCCAACCCCTAGAAGACTTG
    GCTGGCTTGAAAGAGCTCTTCCAGACACCAATATGCACTGACA
    AGCCCACGACTCATGAGAAAACTACCAAAATAGCCTGCAGATC
    TCCACAACCAGACCCAGTGGGTACCCCAACAATCTTCAAGCC
    ACAGTCCAAGAGAAGTCTCAGGAAAGCAGACGTAGAGGAAGA
    ATCCTTAGCACTCAGGAAACGAACACCATCAGTAGGGAAAGCT
    ATGGACACACCCAAACCAGCAGGAGGTGATGAGAAAGACATG
    AAAGCATTTATGGGAACTCCAGTGCAGAAATTGGACCTGCCAG
    GAAATTTACCTGGCAGCAAAAGATGGCCACAAACTCCTAAGGA
    AAAGGCCCAGGCTCTAGAAGACCTGGCTGGCTTCAAAGAGCT
    CTTCCAGACACCAGGCACTGACAAGCCCACGACTGATGAGAA
    AACTACCAAAATAGCCTGCAAATCTCCACAACCAGACCCAGTG
    GACACCCCAGCAAGCACAAAGCAACGGCCCAAGAGAAACCTC
    AGGAAAGCAGACGTAGAGGAAGAATTTTTAGCACTCAGGAAA
    CGAACACCATCAGCAGGCAAAGCCATGGACACACCAAAACCA
    GCAGTAAGTGATGAGAAAAATATCAACACATTTGTGGAAACTC
    CAGTGCAGAAACTGGACCTGCTAGGAAATTTACCTGGCAGCA
    AGAGACAGCCACAGACTCCTAAGGAAAAGGCTGAGGCTCTAG
    AGGACCTGGTTGGCTTCAAAGAA
    1041 MKI67 3312509 AACAACAGTTGAAGGCATCCCTGGGGAAAGTAGGTGTGAAAG
    AAGAGCTCCTAGCAGTCGGCAAGTTCACACGGACGTCAGGGG
    AGACCACGCACACGCACAGAGAGCCAGCAGGAGATGGCAAG
    AGCATCAGAACGTTTAAGGAGTCTCCAAAGCAGATCCTGGAC
    CCAGCAGCCCGTGTAACTGGAATGAAGAAGTGGCCAAGAACG
    CCTAAGGAAGAGGCCCAGTCACTAGAAGACCTGGCTGGCTTC
    AAAGAGCTCTTCCAGACACCAGGTCCCTCTGAGGAATCAATGA
    CTGATGAGAAAACTACCAAAATAGCCTGCAAATCTCCACCACC
    AGAATCAGTGGACACTCCAACAAGCACAAAGCAATGGCCTAA
    GAGAAGTCTC
    1042 MKI67 3312510 TGCAAACAGGTCAGGAAGGTCTACAGAGTTCAGGAATATACA
    GAAGCTACCTGTGGAAAGTAAGAGTGAAGAAACAAATACAGAA
    ATTGTTGAGTGCATCCTAAAAAGAGGTCAGAAGGCAACACTAC
    TACAACAAAGGAGAGAAGGAGAGATGAAGGAAATAGAAAGAC
    CTTTTGAGACATATAAGGAAAATATTGAATTAAAAGAAAACGAT
    GAAAAGATGAAAGCAATGAAGAGATCAAGAACTTGGGGGCAG
    AAATGTGCACCAATGTCTGACCTGACAGACCTCAAGAGCTTGC
    CTGATACAGAACTCATGAAAGACACGGCACGTGGC
    1043 MKI67 3312511 CCCAGTGAAGGAGCAACCGCAGTTGACAAGCACATGTCACAT
    CGCTATTTCAAATTCAGAGA
    1044 MKI67 3312512 TGGCCTCTAGATCCTAGCAGGGAGGCCTATGGGTCTCAGGAG
    CCCGTCACCAGCCTCCGTGCTCCAGAGCTCACGTGTGGGGTC
    TTGTTAGGAGGACCCAGA
    1045 MKI67 3312513 TAAAAACGTAGTCTTAGATCTTATAAATCTTTTGACTCTACTGTT
    TTTTACTGTGTTAATGTTTGTTTTGCTAACTTTGTTTATCTGCTG
    1046 MKI67 3312514 CGCAAACTCTCCTTGTACCATAATAATAGGGAAAGCTCATACT
    GAAAAAGTACATGTGCCTGCTCGACCCTACAGAGTGCTCAA
    1047 MKI67 3312515 AGCCTGTGGGCGAAGTTCACAGTCAA
    1048 MKI67 3312516 CATGGGCAGATGTAGTAAAACTTGGTGCAAAACAAACACAAAC
    TAAAGTCATAAAACATGGTCCTCAAAGGTC
    1049 MKI67 3312517 AAGAGAGTGTCTATCAGCCGAAGTCAACATGATATTTTACAGA
    TGATATGTTCCAAAAGAAGAAGTGGTGCTTCGGAAGCAAAT
    1050 MKI67 3312518 AAACAAGAGTCAGGTTCAGAAATCCATGTGGAAGTGAAGGCA
    CAAAGCTTGGTTATAAGCCCTCCAGCTCCTAGTCCTAGGAAAA
    CTCCAGTTGCCAGTGATCAACGCCGTAGGTC
    1051 MKI67 3312519 CCTTTGAAAAGAAGGCGTGTGTCCTTTGGTGGGCACCTAAGA
    CCTGAACTATTTGATGAAAACTTGCCTCCTAATACGCCTCTCAA
    AAGGGGAGAAGCCCCAACCAAAAGAAAGTCTCTGGTAATGCA
    CACTCC
    1052 MKI67 3312520 GGACAGATGTGCTCTGGGTTACCTGGTCTTAGTTCAGTTGATA
    TCAACAACTTTGGTGATTCCATT
    1053 MKI67 3312521 TTGAGAGGAAGATCCAAAAGGATTCCCTCAG
    1054 MKI67 3312522 GAAGCTTTCAACTAGAAATCGAACACCAGCTAAAGTTGAAGAT
    GCAGCTGACTCTGCCACTAAGCCAGAAAATCTCTCTTCCAAAA
    CCAGAGGAAGTATTCCTACAGATGTGGAAGTTCTGCCTACGG
    AAACTGAAATTCACAATGAGC
    1055 MKI67 3312523 CCAGCGTTAAATTAGTGAGCCGTTATGGAGAATTGAAGTCTGT
    TCCCACTACACAATGTCTTGACAATAGCAAAAAAAATGAATCTC
    CCTTTTGGAAGCTTTATGAGTCAGTGAAGAAAGAGTTGGATGT
    AAAATCACAAAAAGAAAATGTCCTACAGTATTGTAGAAAATCTG
    GATTACAAACTGATTACGCAACAGAGAAAGAAAGTGCTGATGG
    TTTACAGGGGGAGACCCAACTGTTGGTCTCGCGTAAGTCAAG
    ACCAAAATCTGGTGGGAGCGGCCACGCTGTGGCAGAGCCTG
    CTTCACCTGAACAAGAGCTTGACCAGAACAAGGGGAAGGGAA
    GAGACGTGGAGTCTGTTCAGACTCCCAGCAAGGCTGTGGGCG
    CCAGCTTTCCTCTCTATGAGCCGGCTAAAATG
    1056 MKI67 3312524 AGCCAGCACGTCGTGTCTCAAGATCTAGCTTCT
    1057 MKI67 3312525 GGCTCTCAGATCCACCCTAAGTATCCACCAGCCAAGAGGGCG
    CACATGCCAAGTGGAGCCTCAGTTCATCGACAGGTCCTATGG
    CCCATTTATGAGAAAACTGATGACGCAGTCAGTAGTTCTGA
    1058 MKI67 3312526 TTCAGAATGGAAGGAAGTCAACTGAATTTC
    1059 MKI67 3312527 CCAACACAAGTAAATGGGTCTGTTATTGATGAGCCTGTACGGC
    TAAAACATGGAGATGTAATAACTATTATTGATCGTTCCTTCAG
    1060 MKI67 3312528 TGTGACATCCGTATCCAGCTTCCTGTTGTGTCAAAACAACATT
    1061 MKI67 3312529 GGCTCCTTGTGGCAATAGGAAAATGGGACAGAAAGTCTTCCT
    GCCTGGAATTCGAGAACGTTTCCTCTTATATTGCTGTCCTGTTT
    GGTGG
    1062 MKI67 3312530 CCTGAGCCTCAGCACCTGCTTGTTTGGAAG
    1063 MKI67 3312531 CCCACGAGACGCCTGGTTACTATCAA
    1064 MKI67 3312532 TTTGCTTCTGGCCTTCCCCTACGGATTATACCTGGCCTTCCCC
    TACGGATTATACTCAACTTACTGTTTAGA
    1065 MKI67 3312533 GACTCGGTGGGAGCCGCTAGAGCCGGGCGCCCGGGGACGTA
    GCCTGTAGGGCCACCGGGTCCCCGTCAGAGGCGGCGGCGG
    GAGCAGCGGGGACTGCAGGCCGGGGTGCAGCGAACGCGAC
    CCCGCGGGCTGCGGCCCGGTGTGTGCGGAGCGTGGCGGGC
    GCAGCTTACCGGGCGGAGGTGAGCGCGGCGCCGGCTCCTCC
    TGCGGCGGACTTTGGGTGCGACTTGACGAGCGGTGGTTCGAC
    AAGTGGCCTTGCGGGCCGGAT
    1066 GLYATL1P3 3331888 ATGGCTCTCTGTTTCACATCAATCACGGGAACCCCTTCAACAT
    GGAAGTGTTGGTGGACTCCTGGCCCGAGTATCAGATGGTTAT
    TATCCGACCTC
    1067 GLYATL1P3 3331891 TGCGTTACATCAAGCGCTGCCTAGGAGCCCTGCCAGCAGCCT
    GTATGCTGGGCCCAGAGGGGGTCCCGGTCTCATGGGTAACCA
    TGGACCCTTCTTGTGAAATAGGAATGGGCTACAGTGTGGAAAA
    ATACCGAAGGAGAGGCAATGGGACACGGCTGATCATGCGATG
    CATGAAGTATCTGTGTCAGAAGAATATTCCATTTTACGGCTCTG
    TGCTGGAAGAAAATCAAGGCGTCATCAGAAAGACTAGTGCACT
    AGGTTTCCTTGAGGCCTCC
    1068 GLB1L3 3357343 ATGGACGATCTAGGAAACTTTCAGGGAGCTAAGGTGTCGGAG
    AGCAAAGTATCCTT
    1069 GLB1L3 3357345 GTCCCGCTACTTCGTCACCAAAGCGCCCGCCGCGCTCGCATC
    TGCTGTGAGGCTGTGCTCGGGCCGCTCCCGCCGAGGGAACG
    GCCCTCCCAAGGCTCTGCGCCCCAATTCTCGCTCGTTTGCCA
    AGA
    1070 GLB1L3 3357347 TGTCGACCCAGGTTAGGAAGCCCGAGGTCGGGGCGTTACCC
    CAAGGGCCCTCCCGCTTCCCCTCCGAGGGCAGAGAGGCGTC
    CGCGCCCGGACGCACTGCGGGAACACCTGGAGCGCCGGCG
    GAGCTCGGCTGTCCCCGCGGGAGGGAGCCCGACGCGCATCC
    TTGGGACCCGGACCCGGCGCCCGCGCCTCGGGACGGATTTC
    TGCCTCGGCTGCAGGCGCAGCGCGCAGACCTGAGCCT
    1071 GLB1L3 3357348 CCTGGAAGAGAATGGCGGGCATCTTTTTCCTGCCATTTATCTC
    ATCAGGTTTTGCTCCTCGGTTTAAGCAGGAAGAGAACTTCATG
    CTTGGAAGAGCGCATCCG
    1072 GLB1L3 3357349 GCTGAAGAATCGATCTGTGGGACTTGGAACTGAAAGCACAGG
    TCGGGGTAAGCCCCACTTCACACTGGAGGGCCACAAGTTCCT
    GATCTTCGGGGGCTCCATCCACTATTTCCGGGTGCCCAGGGA
    GTACTGGAGGGACCGCCTGCTGAAGCTGAAGGCCTGTGGCTT
    CAATACTGTCAC
    1073 GLB1L3 3357350 ATGTTCCGTGGAACCTGCATGAGCCAGAAAGAGGCAAATTTG
    ACTTCTCTGGGAACCTGGACCTGG
    1074 GLB1L3 3357351 GCTACTGGGGGTGGATTAGCAACCAAA
    1075 GLB1L3 3357352 CCCGATGGGGCTGTGCAGAGGCTCTGAGGCTGGGAGCAGCT
    CAGGCCACCGACCTG
    1076 GLB1L3 3357353 CCTCATCCTGGGCCGTCGTGGGAGGGGCTGACGATGTGGAC
    CTCCCTAG
    1077 GLB1L3 3357354 CCTTCGTCCTGATGGCCGCAGAGATCGGGCTGTGGGTGATTC
    TGCGTCCAGGCCGCTACATCTGCAGTGAGATGGACCTCGGGG
    GCTTGCCC
    1078 GLB1L3 3357355 CTGGCTCCTGCAAGACCCCCGGTTACTGTTGAGGACAACCAA
    CAAGAGCTTCATTGAAGCAGTTGAGA
    1079 GLB1L3 3357356 GCGCCCAACAGCATTGCCTTTTTTATGGTGTACCCAGACCTCA
    TGCACTTGATAAGAAACGCCTTCATTTTTACCATGGCAACCTA
    GAGCACACAGTCA
    1080 GLB1L3 3357357 AGAAGCACAAATGCCGTTCACAGGCACATGTATGCAACGAGG
    AAAGCTAATTTACAGGCATCCCATTGAACTGTGGGAAATGCTA
    GGAAACTTTT
    1081 GLB1L3 3357358 TAAGTGAAATGTAATGCCCCATACCTCGCATACCTTGCACTAA
    TTT
    1082 GLB1L3 3357359 TCATCGCGGTGCAAGTGGAGAATGAGTATGGCTCATTCA
    1083 GLB1L3 3357360 AGAAGAGGGATTGTGGAGCTTCTCTTGACCTCTGATG
    1084 GLB1L3 3357361 GTGAGAAACATGTGCTGAGTGGCCACAC
    1085 GLB1L3 3357362 AGCCAGCCCGTGTAAATCTTGAACACACTGCAGAGAAAACCAA
    GTGCATCTCGATACCTCCCTTTCCCGTGTCCACTGGGATGGAT
    CCTGGAGTTCGATGTTACAATAAATGAGGACTCAAGGTTAAGG
    CTCAGGGCCACTCACAGCTCCCTATCTTGGCCTTGCTCCTGC
    CGTCTTTAAACACAGCAGCACTGGAGCTCCTCTGTTCTCAGGA
    CGCCTTTCCATCTCCCATAGTTTTTCTGTGGCAAGAAATCTGC
    ATTGGTGCTGCGCCTGGCTTGGGATCAGGGCCATCTCCACTA
    ACTTGGGAAA
    1086 GLB1L3 3357363 TGTTGGCCGCCATCAATTTGCAAAAACTTCACCAGGATACTTT
    CAATCAGCTTCATA
    1087 GLB1L3 3357364 CTGGTATTCCGTGAAAACAGGTTTGACAAGAAGACCGCAGGTT
    TTCACC
    1088 GLB1L3 3357365 GGAGGAGGGAACCCTGCTTGTGTCACCTCCGCTTGTGGATCA
    CGTCATGGAGATGAGTGGG
    1089 GLB1L3 3357366 ATACTGTCTTGGAGATCAGCCTGCCTTTCATTCTGCTAGGCCA
    TGTGGGATTTTGTGTTCCCCTCGTCTGGAGTTAGGCTGGTTGT
    GGGGTTTGTTGTTGCTGTGTTATCCTTTGTGCATCATGGGCTT
    CAAATGTTTCTGGTGGTACCTTGTGTCAAGGGCAAGTGCTGGT
    TTGGCAGAGGTTGTTTTCTCTGTGTCTGCATTCCCCTCTGAGT
    CTCGCCTTTGCATTGAGTCCCACAGAGAATCTGTTGCTTGCGG
    ATCTCTCAGCTATAGTATG
    1090 GLB1L3 3357367 CTCTCAGATGCCTCACAAGCAGCAAC
    1091 GLB1L3 3357368 CCATAATTTTGTCCTTCTAAGCTTCTGATGCACTGAATTATGTA
    AAGTGCATTCCCTTCACCAGCTTGTGCACCCTATTCTGTAACT
    GATA
    1092 GLB1L3 3357369 CCTTCTGATTATGGAATACTGGGTCGGCTGGTTCGACAGATGG
    GGAGATAAGCACCATGTTAAAGATG
    1093 GLB1L3 3357370 ACATGCTGTGTCTGAATTCATCAAATATGAGATCTCCT
    1094 GLB1L3 3357371 CTTTGGTTTCATGAACGGGGCCACATATTTCGGGAAGCACTCG
    GGCATTGTCAC
    1095 GLB1L3 3357372 GTCGCTGGTGTAGTAGCCTCTCCAGC
    1096 GLB1L3 3357373 GAGGCTCCGGAAGCCTGTTCTGGCACCACTGGGTTCTTGA
    1097 GLB1L3 3357374 CCCAACAGGCTGTCATTGCAGTAGACAGGGCTTTCCGGGACT
    TAGAGCTCCGCTTCACACATCTGGTATACTGCCCTGTTGGCTT
    GAACCTCTGAAGAGAGGCAGGGTAGGAACGGTGACTGCTGTA
    AAGGCACAGACCTGCACGGCCGGGCGATACAGACTGAGCAA
    AGAAAAGAGTACCCGTTGAAGGGGTGTCCACTCTTTTGGCTTC
    CCTGGGCCACACTGGAAGAAGAAGAATTGTCTTGGGCCACAC
    ATGAAATACACTAACACTAATGATAGCTGATGAGCTTAAAAAAA
    AAACACAAAATGTTTTAAGAAAGTTTATGAATTTGTGTTGGGCT
    GCATTCAAAGCCATCCTGGGCCGCCTGTAGCCCATGAGCTGT
    GGGTTGAACAAGTTTGCATTAGAAAGTGAAGAAGTGGGGGCA
    AGCCCAGTGTCATGGCTTGACACTGGAAGCCAGTGGAAGGTG
    CCCAGGAAGAGTTGTGGGGAATGTCCTTAGACTGGCATC
    1098 GLB1L3 3357375 GCAGTGCTCACGGAGGCTGGAGATTACACA
    1099 GLB1L3 3357376 GTACTCAGCACCCATTTAACTTACGGGCCAGCCCTCCTCAT
    1100 GLB1L3 3357377 TGTGGGCAGCAGTTACACCAAGCTCCTGAGAACAAGGGCAAC
    CTTAACTTCGAACCCTGGGGTTAAAATCTGTGTGATTTTTTAAA
    ATCAGGGTTTCTAAGCATTTTATAAGCCTCAGTTTCTTCACTGA
    AGCATAAAGATAGTAACCTTGGTCTCCTGTGATGACTGCGAAG
    ATTGAGTTACTCTTTGTAAAGCTCTTATACCATGGATGACATAG
    TA
    1101 GLB1L3 3357378 AAGGCTGTGTATCCCCCCGTGAGACCGTCGCTGTACCTCCCG
    CTGTGGGACGCCCTATCCTACTTAA
    1102 GLB1L3 3357379 GACTGTGTGGTCCTTACGGAATCCACGTAGGAAAAGCTGCTG
    AGCTGGAATCGGGAGACTAGCTTCTGCCCGTGCTTCACCAGC
    AGCTGGGCCTGAACTTCCTGGGTCACTGCTCCCCCTTTTCCAT
    CAGCCTTCCTGTCCTATTTTGAAGAAAGGTGAAAGCTGTTTGG
    AACTGAAACTGTAGCCCTTGGATTCACATTGGTTTTACCTCTG
    CTATCACTATTTTAGAGAAAAGGTAGTGACTGGTACACTAAAG
    AAACTACATTTATTTAATGTAACTAAATTTAATTTAATGAAATAA
    ACATTTGCTTGGTGCCTCATTCATTGCTAGACTTCAACTATTTT
    AGAATACAATTTATTTACTCTTTTTTTTTCTTGAGACAGGGTCTT
    GCTTGGTGGCTGTGGCTGGAATGCGGTGGCACAATCATGGCT
    CACTGCAGCCTTGAACTCCTGGGCTGAAGCAATCCTCCGGCC
    TCAGCCTCTTGAGTAGCTGGGATTACAGGAGGGCACCACCAC
    GCCCAGCTACATTTTTAAGTTTTTTGTAGATGTGGGTCTCACTA
    TGTTGCCCAGGCTGCTCTCAAACTCCTGGCCTCAAGTGATGCA
    CCTGCTGCGGCCTCCCAAAGTGCTGGGATTACAGGCGTGAGC
    CCCTGCGCCCCATCCATTTCCTCTGTTAATCAGTTCTTAGGATT
    ATAACGATTGCTCCCTCATCACCATGCCCTGCATTTCCCTGAG
    TTTCCTTCCTGGGCAGTGGAGACGTAAGCACAGAGCAGTGTC
    ACATGGCATCTGTTTC
    1103 GLB1L3 3357380 CCAGTCAGGTCGCGTCAGCCCGTCAAC
    1104 GLB1L3 3357381 GCGGCCAGTCCTACGGGCTTGTCCTGTATGAGAAGTCCATCT
    GCTCCGGAGGCCGCCTCCGTGCCCACGCTCATGACGTGGCA
    CA
    1105 GLB1L3 3357382 GTTTTTGGATGAGACAATGATAGGGATTCTGAATGAGAATAAT
    AAGGACCTGCACATTCCTGAACTCA
    1106 GLB1L3 3357383 CCTGGTGGAGAATCAAGGACGAGTCAATTTTTCATGGCAAATA
    CAGA
    1107 GLB1L3 3357384 TGTCAGCATCAATAACTCTTCCCTGGAGGGCTTTACCATCTATT
    CCCTG
    1108 GLB1L3 3357385 CAGGGCCCGGCCTTCTACTGTGGGA
    1109 GLB1L3 3357386 TTATGGATTTGTGTTCATCAATGGACGTAACCTTGGGCGATATT
    GGAATATTGGGCCTCAGAAAACACTGTACCTTCCTGGAGTTTG
    GCTTCATCCAGAAGACAATGAG
    1110 GLB1L3 3357387 AAGATGATGAGTGGCTCAGATATCAAATCTACAG
    1111 GLB1L3 3357388 CCACTCCCGGCCGTGAACATATTTTTTGGGTTGCTGGAGTTCA
    TCTATAAGTCATTTTTGAGGAATAAGATTTATGTTAAGACTATC
    AAACACAGTGTTGCCTACAATAGCAAAAATGTGAAAATAACAA
    CAACAACAAAACAGCAGAGGAATTGTTATGTATTTTGTAGTCTA
    TCTATATGATGCCTATTTTTAGGCTTTAAAAAGTCTTCAAAATCT
    TTAATGACTGATTTATCTAGTTAAATGCTTAATCCTTAGCAGGC
    TCTTATTCTTTAATTAAACGTGCCTTTGAGTAGATGTG
    1112 GLB1L3 3357392 GGTCACCGAAGCTTCTCTGAAAATGTGACATCTCTGAGGAAG
    GTGGAACATTAATCATCTCTAGCAGTGCATAGGCCCTCTCTAT
    GGCATTGTCAACTAAGCACTAATAATAGTCAGGGGACAACATG
    CAGCGATAGCCAAGAGCATGGATCTTGGAGCCAAAGAGATCA
    GGTTTTAATCTCAGCTCTGCAGCGCTAGCCATGCGCTAGCTTC
    ATGCAGGCTTCCTTCA
    1113 GLB1L3 3357393 CCACTATCACCACCATCACCATCAA
    1114 GLB1L3 3357395 TGAGATCTCATAAACTTTCAGATCAAAAT
    1115 GLB1L2 3357398 AGCCGCGAGCCCCAGCCAATGAGCGCCGGCGGGCCGGTTGC
    CCAGGCGACCAGTGCGCGGCTCCGCCCCCCGCGGCGAGGCT
    CCCGCGCGCGGCTGAGTGCGGACTGGAGTGGGAACCCGGGT
    CCCCGCGCTTAGAGAACACG
    1116 GLB1L2 3357399 CACGTGGAGCCTCCGGCGGAGGCCGGCCCGCACGCTGGGA
    CTCCTGCTGCTGGTCGTCTTGGGCTTCCTGGT
    1117 GLB1L2 3357400 CCCTCCAGCCGTCAGAGCCCTCTCAGACGCACCCCATCGCGG
    CCCCGTCCCCACTGCTCCGCGGAGAGCTC
    1118 GLB1L2 3357401 CCTCTGGGAGGCGCCTTATTCCGCAG
    1119 GLB1L2 3357402 TGACCCTATCTTTCAGGTCAGCACTTTCCATATTCAAAACCTCC
    AGTGGGAAGCCGACCGGCAGTATCGAATGAACTGA
    1120 GLB1L2 3357403 CAGGTAGAACAGAAGCTCAAGGAGCTCTGA
    1121 GLB1L2 3357404 CGGCGGTCATCGTACTCCGGATGTTCACGGCACTCCGGATGT
    TCTGCTGTGCCCGGTTGCATGGATCCTGGCCTATCTGTGTCTG
    GTCATACTCTGCATGGCA
    1122 GLB1L2 3357405 TGCCGAGAGGCGCTTTCTCGCGGACCGGAGCCTTCGACGGC
    C
    1123 GLB1L2 3357406 TGAAGACCTGGAATCGGGTGGATGGGTGGACGCCGCCAACG
    CAGAC
    1124 GLB1L2 3357407 TCTCTGCTCCTGCGGTCGGGCGGCTGCGACCGTGCCGGGGC
    TCGGAGGTACCGTGTGAAGTCGCTGTCGCGCGTGGCCGC
    1125 GLB1L2 3357408 CCTCCATGCCGAGTGCTGTGCTTGCTGCCGGCTGCAGCCTC
    1126 GLB1L2 3357409 GGCGGAGGGGAGCTTTTCCCAGCCACCTGGACGCAGGCGCC
    CTCGAGAGAGAAATGCCGAGGACCTGCGAAGGGGCGAGGAA
    GCCGATCTCTCTGCGGCCCGGAG
    1127 GLB1L2 3357410 TCCCTCTGCGGCTCCGCCATCGACAGCTGGGGCTGCAGGCC
    AAGGGCTGGAACTTCATGCTGGAGGATTCCACCTTCTGGATCT
    TCGGGGGCTCCATCCACTATTTCCGTGTGCCCAGGGAGTACT
    GGAGGGACCGCCTGCTGAAGATGAAGGCCTGTGGCTTGAACA
    CCCTCACCA
    1128 GLB1L3 3357411 ATGTTCCGTGGAACCTGCATGAGCCAGAAAGAGGCAAATTTG
    ACTTCTCTGGGAACCTGGACCTGG
    1129 GLB1L2 3357412 CACCGACCTGGTGTGGGAGTCCCCG
    1130 GLB1L3 3357413 CCTCATCCTGGGCCGTCGTGGGAGGGGCTGACGATGTGGAC
    CTCCCTAG
    1131 GLB1L3 3357414 CCTTCGTCCTGATGGCCGCAGAGATCGGGCTGTGGGTGATTC
    TGCGTCCAGGCCCCTACATCTGCAGTGAGATGGACCTCGGGG
    GCTTGCCC
    1132 GLB1L2 3357415 GGCAAAAAGCTCACAGACATAGGTCTGGTTTGTTTCTGTGTTC
    CAGTTCCCATTCTGTACTGAATTGTGTTCCAGTTCCCATTCTGT
    ACTGAATTTCCTTTTCAGGAAAAGCAGCACCCAGAGGGGATC
    GCTTTCAGTGATGCTGCAGTGAGTGCCCTCACGTAGCCATGC
    ATG
    1133 GLB1L2 3357416 GGGGCATAGCTTCTGTCTCCACTACCCAGGGCCACTTCTCAG
    GCACTGATCCATCCAGCC
    1134 GLB1L2 3357417 CCTGACCCTGTTTAGGACTTCCAGACCAGGGCAAGAGGAGCC
    TCAGAGCCTTTTGTTAGAAAATATGTGTCTTCTCAGAACCTGAA
    GTGAGAAGGAAGAGCCCTGACTCCAGCTTTGGAACCAATCCA
    CGCTGCTGTGTTCCTCTGGGGAGTTTGGGATCATAGCAACAG
    GGTGGAGGGAGAATTCAACTCTTGCTCACCTGCTGCTCTGGG
    CTGTGCGCCACTGATGCCAAGGCGTTAGCCACGTTGGCAAGG
    ATGGGGACTGCCTCCTGCTCAGCCCCTCGCAGTCTCTGTCAG
    GCTTGTTTTTTGGGGTGACGCTAGAAGGTTGTGTCTCCTCCTT
    CCACAGCCTCAGTGATTCCTAACCCTTTTGACTTCACTTTTTGA
    AATGGGATCACAGAGCAAGTTGTTGAAAACTAGGCCTGGAGT
    CCTGTGAAAAGCTTTTC
    1135 GLB1L2 3357418 GGACAACTTACAAGGGCTTCACCGAAGCAGTGGACCTTTATTT
    TGACCACCTG
    1136 GLB1L2 3357419 ACAAGCGTGGGGGACCTATCATTGCCGTGCAGGTGGAGAATG
    AATATGGTTCCTATAATAAAGACCCCGCATACATGCCCTACGT
    CAAGAAG
    1137 GLB1L2 3357420 ACCGTGGCATTGTGGAACTGCTCCTGACTTCAGACAACAAGG
    ATGGGCTGAGCAAGGGGATTGTCCA
    1138 GLB1L2 3357421 GTAACTGCACTTGTGTTGGGCCGTGGGGGCTGGCGGCGGCC
    CTGGGCTGGCTGTGCACGCTCCCGCTGTGGG
    1139 GLB1L2 3357422 TGTTCTCAGCATATCAGCCTCCGTGTGCCTCTGAAAATGTCGT
    CCAGATTACCCTATCCTGCTGAACGCCAGGCATCTCTGTCACA
    CTCAGAGTGAAGCGCAGGTTCTGGGAATGACCTCGAAAGGCC
    TCTCCACTTGGCCTCCAGGACCTAGCTGAGCTCACCTCCTGCT
    CCTTCCCTTTGCTCACACCGTTTCACCCTCTTTACTGTTCCTCC
    AACATCCAGATCCCCAGCCTGGGGGGCTTTGCTCTTCTTCCA
    GAGAGCTACATGGCTGTTCTCCGAAGTTAGCGAGGCTTTCTGT
    AGCACCACACTTG
    1140 GLB1L2 3357423 GTAGTTTATTTATGTCATTCATCTGTTTCACCCAGCAGTACTCT
    TGGCGGGGCTT
    1141 GLB1L2 3357424 AGCAGCGCCTAGCTGGCACCCAGGGAGTGAAGGTCCATGAAT
    GGCGAGGAAAAGGCTTTTGTCCCCAGGCAGAGTCAGTCAAGG
    ACCCAGACCTCGTGTCTCCGGCATGGGGAGGACCAGCAGTG
    ATCCCCACGGCT
    1142 GLB1L2 3357425 CTCCCGGTTTCAGGCCTTGCAAGGAAGCCCGGGAGCCGCCA
    CTGCTTTTCCCTGTGGCCCTCCCACCTCCAGGCACCCACCTG
    CGTGCCCCTGTTGCCACCTGCTGCCCGGAATAACTTCTTTTTT
    TTTTTTTTAATTAAAAAAATTAAATGGTCTAAAAGTGAAATAATC
    GAAAATGTTGGTAGAGAAATACAGTGTTGCCTACTCTTCGTTA
    CATTCTCCAGAAATGACCATTTTCAACTCTTTGACTTTTTCTTTG
    GATATTTTCCTTCTTATTTCCAAATACTGTGAACATACAGCCCT
    GCATCGTTTGCTTTAAAAGTTCTGCCTATTGGCCGGGCAGTGG
    CTCAGGCCTGTCATCCCAGCGCTGTGGGAGGCCGAGGCGGG
    CGGATCATGAGGTCAGGAGATCGAGACCAGCCTGCCCAACAT
    GGCGAAACCCTGTCTCTACTGAAAATACAAAAAATTAGCCGGG
    TGTGGTGGCGGGCACCTGTAGTCCCAGCTACTCGGGAGCTGA
    GGCAGGAGAATCCGTGAACCCGGGTGGCGGAGTTTGCAGTG
    AGCCGAGATTGCACCACTGCACTCCAGCCTGGACGACAGAGC
    AAGACTCCGTCTCAAAAAAAAAACAAAAAACAAAAAACATTATC
    CGAGCGTGGTGGCGGGTGCCTGTAATCCCAGCTACTTGGGAG
    GCTGAGGCAGGAGAATTGCTTGAATGTGAGAGGCAGAGGTTG
    CAGTGAGCCCCGATGGTACCCCTGCACTCTAGCCTGGGTGAC
    AAGAGCAAAACTCCGTTAAAAAAAAAAATTCTGCCTATTGACTT
    CTTGTTCCAGTAGGTGATGAGTGTTCTTTCCTGCCAGCATGGC
    TGTTCAGCCCTGATAGGCGCCAGCGTGGGCCTCGCGGATGTG
    TATGACAACG
    1143 GLB1L2 3357426 CTGCTTGGCTGCATCCCGCGTGGAATCCTGCTTCCTGGAGTT
    CCAGGAAACAGGATGTTTCTTGGTGCTCCGTGGCTTCCCG
    1144 GLB1L2 3357427 ACTCCGGCTCCCGAGCGTTTCCTGGGTCTTCTTCCTCCTCGC
    CCCCGGCCAAGTTCCTCAGGGAGCCCGCCCTCCCCTTCTCGT
    GCTGCTGCGCATCCGGGGAGCGGCCCAGTTAC
    1145 GLB1L2 3357428 CAGCTCGGGCCCAGGGTTCTCAGGCAGG
    1146 GLB1L2 3357429 TCTTGGCCACCATCAACTTGCAGTCAACACACGAGCTGCAGCT
    ACTGACCACCTTTCTCTTCAACGTCCAG
    1147 GLB1L2 3357430 CTGCTCAGCGGCCTATGGGAATTCTGAATGCCTGTCAGCGTG
    CTCAGCTTCCCCAGCGCAGGGAGCTGGACTCAGGGCTGATG
    GCCTCTGGCCCCCCGCCCATGCCACTGTGTGCCTGCAAGGCC
    CGCTGCCCAGAAACACCTCTGAGGGCTGCTGTGTAGGCTGAT
    GCAGTGTGGACATCACCCACTGCCCTGAGAGAGGGGCCCTTT
    TGGTGCACTCCTAGAGGACTCGACTTTTGTGGCCTCAACTAGC
    TCCAGACTTGCTCCCAGGGATTGAGGGGGGAAGGAAAAACTT
    CCCTGTCCTATACTACACAGGCATCCGACCTTAACCTGTGAGG
    1148 GLB1L2 3357431 CTCTGGGCTTCTGCAAACGTGGCAGAGTGGAGCATGGTCCCA
    GGAATGATCTTGGCCTCCTTGGG
    1149 GLB1L2 3357432 CAGAACCTGCACCATGAATAGCTGTGC
    1150 GLB1L2 3357433 AACTGGTGTGCAGGCGAATTTGGCCCTCACCTATGCCC
    1151 GLB1L2 3357434 ACTGGACGGGGTGGTTTGACTCGTGGGGAGGCCCTCACAATA
    TCTTGGATTCTTCT
    1152 GLB1L2 3357435 GTTTTGAAAACCGTGTCTGCCATTGTGGACGCCGGCTCCTCCA
    TCAACCTCTACATGTTCCACGGAGGCACCAACTTTGGCTTCAT
    GAATGGAGCCATGCACTTC
    1153 GLB1L2 3357436 CTTCGTGTCTTTGGCAATAGAGTACCT
    1154 GLB1L2 3357437 CAGTCATGTTACACTCCCAGAGGAGGGA
    1155 GLB1L2 3357438 ATGCTGTGCTGACAGAAGCCGGCGATTACACGGCCAAGTACA
    TGAAGCTTCGAGACTTCTTCGGCTCCATCTC
    1156 GLB1L2 3357439 TCTCAGACCCCTAAAGAGTTACTTCCTTACTGTCCCACCTCGA
    CCCCAGTTGATCTGCGTGCAAGAATATCCTAGACA
    1157 GLB1L2 3357440 ACCTTCTTCCCAAGATGCCGTATGAGCCCTTAACGCCA
    1158 GLB1L2 3357441 CTCTGTGGGACGCCCTCAAGTACCTG
    1159 GLB1L2 3357442 GTGAGTGCTGTGGGCAGTCATCGGGAG
    1160 GLB1L2 3357443 AACCTGCCAGTCAATGGGGGAAATGGACAGTCCTTCGGGTAC
    ATTCTCTATGAGACCAGCATCACCTCGTCTGGCATCCTCAGTG
    GCCACGTGCATGATCGG
    1161 GLB1L2 3357444 GTAGGAGCTTCTCTTCTAAATTCCTGTGACCTTCTG
    1162 GLB1L2 3357445 GTGTTTGTGAACACAGTATCCATAGGATTCTTGGACTACAAGA
    CAACGAAGATTGCTGTCCC
    1163 GLB1L2 3357446 GGTTACACCGTGCTGAGGATCTTGGTGGAGAATCGTGGGCGA
    GTCAACTATGGGGAGAATATTGATGACCAGCGCAAA
    1164 GLB1L2 3357447 AATCTAGCTAAATGTGGGTGGTTTCA
    1165 GLB1L2 3357448 TTAATTGGAAATCTCTATCTGAATGATTCACCCCTGAAAAACT
    1166 GLB1L2 3357449 CTGGCCCGCACCCAGGTGTGAACGCCTCCAGGGGCCAG
    1167 GLB1L2 3357450 GTTCGGCCTGGACAAATGGAGTTCCCTCCCAGAAA
    1168 GLB1L2 3357451 ATGAACACCCTTCCCCTCTGTTTCAA
    1169 GLB1L2 3357452 TGGCCAGAACCTTGGACGTTACTGGAACATTGGACCCCAGAA
    GACGCTTTACCTCCCAGG
    1170 GLB1L2 3357453 CCTGTTCCCCATGACGCCCTGCCCACCTGCCGTCCCAGGGAG
    CCTTCG
    1171 GLB1L2 3357454 GACAGACGTCAGCTGCCCTCCCAGCCGGGCCCTCTCTCCACA
    1172 GLB1L2 3357455 TCATCGTTTTTGAGGAGACGATGGCGGGCCCTGCATTACAGTT
    CACGGAAACCCCCCACCTGGGCAGGAACCAGTACATTAA
    1173 GLB1L2 3357456 TGCCAGTGGGAGACTGCCGCCTCCTCTTGACCTGAAGCCTGG
    TGGCTGCTGCCCCACCCCTCACTGCAAAAGCATCTCCTTAAGT
    AGCAACCTCAGGGACTGGGGGCTACAGTCTGCCC
    1174 GLB1L2 3357457 CCCTGCTCTTGTGCCGAGGCTGTCGGGCTGTCTCTAGGGTGG
    GAGCAGCTAATCAGATCGCCCAGCCTTTG
    1175 GLB1L2 3357458 AAAAGTGCTGAAACGTGCCCTTGCACTGGACGTCACAGCCCT
    GCGAGCATCTGCTGGACTCAGGCGTGCTCTTTGCTGGTTCCT
    GGGAGGCTTGGCCACATCCCTCATGGCCCCATTTTATCCCCG
    AAATCCTGGGTGTGTCACCAGTGTAGAGGGTGGGGAAGGGGT
    GTCTCACCTGAGCTGACTTTGTTCTTCCTTCACAACCTTCTGA
    GCCTTCTTTGGGATTCTGGAAGGAACTCGGCGTGAGAAACAT
    GTGACTT
    1176 GLB1L2 3357459 GAAATCCTCACCCTGCGTCTTCCCAAGTTAGCAGGTGTCTCTG
    1177 GLB1L2 3357460 GTGAGTCCTGGCAGAAGCCATGGCCCAT
    1178 GLB1L2 3357461 CCCAGCTCACATGTGAGTCCTGGCAGAAGCCATGGCCCATGT
    CTGCACATCCAGGGAGGA
    1179 GLB1L2 3357462 GTGAGTCCTGGCAGAAGCCATGGCCCAT
    1180 GLB1L2 3357463 TCTGCACATCCAGGGAGGAGGACAGAAGGCCCAGCTCAC
    1181 GLB1L2 3357464 GTGAGTCCTGGCAGAAGCCATGGCCCAT
    1182 GLB1L2 3357465 TCTGCACATCCAGGGAGGAGGACAGAAGGCCCAGCTCACA
    1183 GLB1L2 3357466 AGAGCAGCCCTCCTTCGAAGTGTGTCCAAGTCCGCATTTGAG
    CCTTGTTCTGGGGCCCAGCCCAACACCTGGCTTGGGCTCACT
    GTCCTGAGTTGCAGTAAAGCTATAACCTTGA
    1184 GLB1L2 3357467 AGCTGTGTATGAGCTGGTTCCGTCAGAAAGTGATGGAATGGA
    AGGGAACCTTCCTGCAAATCCTCCTGTAAGGTGGAGAAGCCC
    CTTGGATCACACTTCCACGCAGACCTG
    1185 GLB1L2 3357468 AGCAGGCTGAGCAACGCTTGTTCCGCCTGGTGGAGAGTTCGT
    TCTTCTTGGGCCCGGGGAGCTGCATGTCAGGGTGTTGCTGCT
    TCGCTCAAGGGTCACTTATCACGGAGGCCTCTGTGGTCACCC
    TACAGAGCACTGAC
    1186 OR51A6P 3360298 TGATGTTTTCTTGCTAGTGCCACCTCTTATGAATCCCATTGTAT
    ATTGTG
    1187 OR51A6P 3360299 CTTCTATGCGCCCGTCATTGCTTTGGCAT
    1188 OR51A6P 3360300 AAGCTGGCCTGCTCCGACAACACTGTCAACTTCTTCTATGGTT
    TCTTTCTTGCCCTCTGTATGATGTCAGAAAGTGTGTTCATTACT
    GTGTCTTATGTGCTCATCCTGAAGACGATCATGGGAATTGGAT
    CCCATAGGGAGCGGCTCA
    1189 OR51A6P 3360301 TGCTGTTAGTACTCCCATTTCCTTTCACTCTTACAAGGTTGACA
    TATTGTAGGAAAAGCCTACTCTCTCATTCCTATTGTCTCCATCA
    G
    1190 OR51A6P 3360302 TTTTGACCGGTTTTGGCCATATGCCACCCTCTGAGGTACATAT
    CTGAGGTACTGGTGAGCTGTATCCTCACCAGTGCCAGAGTTG
    CCAAAATG
    1191 OR51A6P 3360303 TGGAGCATGCCCATATATGGATATCTGTCCCCATCTGCCTCAT
    GTACTTGGTAGCCATCCTAGGCAATTGCACAATCCTCTTTGTT
    ATCAGGACTGAGCCCTCACTCCATGCACCCATGTACTATTTCC
    TTTCCATGTTGGCTGTCTCTGATCTGGGCCTGTCCCTCTCCTA
    CCTACCCACTATGCTGAGGATCTTTGTATTCAATGCCACAGGA
    ATCTCCTCAAATGCTCGCTTTGCTCAAGAATTCTTTATTCATGG
    ATTCACAGATATGGAGTCCTCAGTG
    1192 FTH1P2 3375656 AAGCTGCAGAACCAACGAGGTGGCCGAATCTTCCTTCAG
    1193 RP11- 3377879 AGGTGCTGGTCATCATTCTGTCCCATTTTTTGCCACTGTGCTA
    770G2.5 AGGCTTTTGACTCAACCAAGAAAAGGGCCGGTCTTCCAGCCT
    GGCCCTGCAAGAGTGTCCTAGTGCTTCAGGTAGTGGATGGGC
    ATCGTCATTCGTCCCACCTTCCTGCCCCCTAAAGCCCCAGGA
    GGACACACTCTCAGCATCAGGCCAGCTCTCCGGGTCACTGGG
    GCTTGGCTCAACAGGATGTGCAGGGCAGAGCCGGGAGGGAA
    GAGCAGAAGATGCCATGGGCTGTTCGCAGGAGCAGCCGTCC
    AGGGCGCCGCTGGAGGAAGATCTTCTAGTGGCTGTCTCAGCA
    CGTACAAAGAA
    1194 RP11- 3377880 CAGAGCTTCATGACGGCCTCGGATTGGCAGTCAACCCAGGGA
    770G2.5 TACAGAAATGTAAACAAAAACAGAGCTTCCAGATAACATTACT
    GTGTGCTATGTGACTTTCAGAATACAGCAGCGTCCCAGACACT
    CTAAAGTCAAGTGAAACAAGAGATTTTAGAATCAATCTATACAC
    ATTTCAGAGGGCAGTCCAGG
    1195 SESN3 3387255 TCTTCTCTCCAGCTAGGTGCACTTGAGGTTGTTCATAAATGTAA
    AATTATGTCAGGTTTCTAACATGGGACACTGCACACAGTTGTC
    TGACCTGATGAACCATCCCATTTGAAAGTATAGATTATTATTAT
    TTCTTGTAGTATTTGGTTGTTTTCCATCTCATTCATGAACAACT
    CAACCTGATAGTAGTATCCAATAAATGCCTTTCAGGGCTCAGG
    AATGAATTGACATCCTAGTTAAGAAATGAGACTTAATAATGGAG
    ACTGAATGAGGCGGTTTGTATTAAATTATATGCCATGAAGTGTT
    CATTTTAGCTTTAACCTAATTATGACTGTACCACCATGAAGTAC
    AGAATGAAAAATTATATATATGGGGGGGAAACAGAATGAATAT
    CTGATTCTTTTGAATGCTTGTGGAAATCTTTGAGATCGTGCAG
    GGCATACCACAAAATAGCCTTTAGAACAGATACCCAATTTTAC
    AGTTCATAGGACAACATCAAACATTAGTAAGTCTAAATAAGATG
    AATAGAATTTTTGTTATGTAAATTTTGCTAGAACAGTCTATTTTC
    TTGCACCCCTCAAGTTAACCTCTTAAAAAAATGAATGTATAATT
    TCTACCGAAAGAATATCAGAGAGAATCTCTCTGGCCTATAGTG
    TTAAAATATTGTTCACAAATCCTGATTAGTTAAGTGCATACATT
    ATGAAACTTACAGAATAAAACTTATTATACATCTCTTTCTTAAAT
    TAATATCTTTACACATTTTCAACTGGCTCCCCAAGTCTGATAAG
    GAAGGATTAAAAGAAAAAAGAAATGTATTAGTTGGGTGGCCAA
    GGAGTTTCCTTTGTAATGTTGAGAGACTTCCGCTTTCTGAATTT
    CGCTGGTTCTCTAAGGTAAAAGAGTTAAATAGTACCCTTGTTC
    ACCAAGGAAAGTGATCCAAACTATATATCTAGTGCAGATATTTC
    CTTTGCATTATTTAGTCTTCTCTGGAGAGAAAATACAGTTTCCC
    CTTCCTCTTTCTCTTCACATTTACTCTTTTCAACCCAAAATAAGA
    GACATAGAAAGCAAACCACAGCCAGTTTGGCATCTTCTCAGTG
    CTACTAGTA
    1196 SESN3 3387256 TGACTTGTAACCCTTCAGTGGAATGGGAAATTTCTG
    1197 SESN3 3387257 TGGCTTAGTTAGCAGACCTAGAATCTGCCCAGGTGAGACCTA
    GAACAAAAATAGCTGGGGTGAAATGGATAAGAGAGGTAGAGG
    TATATGTCAAGGCAGAGCCCTATGAGGAAGGAAGAGTTTTCAA
    AGAATATGAGGAACATAGTGCTGAGAGTGTGGCTGCCTTCAG
    CACCGTACACCTAATCTAGAGAAAATATTTCCCATGTGGGAGG
    TCCTGTCTGCATTCAGTCCACCCTTTTCTGCCTGCTTCTTCCTC
    CAAGTGCCTCAACCTCTACATGCTCACTCTCCTCCCCTTCCCT
    CAGCCCATCTTGGTCTAAGCAGCTTTCACAATCCAAACCAAAC
    ATCACCAGCCACCCGCTGATAAGTCACCAGCATTTACTTTCCT
    GAGTTACTTTTTCTCCATTCATTGAGACTATGGATTCATCCCAA
    CTCCTTCTAAATCCCTCAACCATCCAGCTATATTTTGGCTAACC
    TTTGCCCTAGACACTCTACCAGATGTTAATGCAGTATCAAGTG
    TAAATTGTGTCACCCTATTCTGTTCTACCCTTTTCCCTGCTGCC
    GAAATATCTTGCTCTCCTCTACCTCATCCCCAAAGAGCCTATAA
    ATTCAGAGTATCCAACCTTTTCATGGATTCACTCACTGTTGTTC
    A
    1198 SESN3 3387258 CGCTGTTGAACCAAGCTGCTCACTGGACACATATTTGTGTCCC
    CAGGAGATTATTTGTCAGGCACTGTTTTTTATTTGTTTGTTTGT
    TCATTTATTGTTGTTTTACTGCTATTGGCGATAACATGAAATGT
    GATACAGCTATTGCCCATAATTTAATGTGAAATTAATCATGATG
    AATTCTATAGCATGCTACTGAAATGCCAAATTCAGCTATTTTCT
    TTCTCTTCTAAAATGGAAGTTTCAGTTTTCCATATCAGATGTAT
    ATAAGTGGAATTATAACACAATCCTATCACTGACAGTAATCCTC
    AGTCACCTTAAATAATCAGTGCTCACAGTGCTGCTTACAGTTC
    ATTTAGTTGGCACATATAAACCTGTACCCACACAAGACTGACC
    AAAAATTTTCTTTGCACATTTTTCCTTTCTCATAGTTTTTTTCTAT
    ATTTCGTTAAGCAAAGGAAGGTTAATATGCCTATTTTTCCTGTT
    AGGCTTTTAGAAATTATTTTCCATGACTTTTGTTCTTATAATAGG
    TTAGACAGTTTATTTTTCAAAGGTAAAAATTGTGTTTCTATGCAT
    TAATGTGATTGAACTACAAAAACAGAGTGCAATATGTTCAAAAA
    ATACTCAACTAAACTTTCCCCCTGTCATATCACTGCAAAAGTGT
    CCTTTTAAACAGAGCCATAAAGAAATTTTTTTCAAATTTCTTTAT
    TGCACAGGCTTTTTTCAGTTTTACCTTTCTGGGATTGAACAATG
    TTCCTTTCATAATGCCAAAGCATTCCCTTCCCCAGAAAAATCTC
    CTTGGACAACTGGTTTAAAAACGTTATTAAGTCATAGGGGAGG
    AATAAGCGGCCAAAAAGTCACATTTTTGCATTGGTTTACGTTG
    CTTGATTAGACTATCTTCAGAGAGCACATTATGTGTTTATAGCT
    TTAATTTGTATTATGTCAATGAACCAGTGAAGTGCCTAAAGAGA
    TGCTTACAACTATCCAGTAGGACACAACTGCACTGCTTTTTAAA
    CACTTTTTGGTTAGTTAAGGGTGACTTGAATTGTACACATACAT
    GCTAATTTTTGAAAACTTATCCATTTTTCATAGTAAATAATATAG
    ATAAAATTTTCTGTTAGAGTTCCCGCAAATATTTCATTTTAGACT
    TACTTGTGATATAAGATTTAACTTTTCTTTTGTGAAAGAATCGT
    GAACTAGTGTTTCATGAAATCATTTTCCTCTTCCATTTATCATC
    CTCCTCTGGTACAATATATTGGGTTGCTTTCTTTTAGATTTTGT
    TCCAGATAGGAAAACAAATATGACTGTATACTTATTAACATAAG
    GTAGTTCTGCATTTTTGGATTCCAGGATCCTGTTTGAAATCTTC
    CATGTGAGGAAAAAATTACTAATATTTTTAAAGACAGGGTGGTT
    TATTTAAAGAGATTATTCAGAGAACTTGTGCCATATCTCGTCTG
    TTTTATTGCATATGCCATATGTTAACTTTTATTCAATATTACATT
    ATGTAGATATGTAATACAAAGAAAATATTTAGGAGAATGGCAAA
    ACACAAATGGCAACATAAATGTCCATTTGACTTACCTAACTTCA
    CAACTTTCAAGTTGAGGATGTCATTTATTCTTGAATTTGTTTTTT
    TACTAGATGCTTTCAATTAATAGCCCTATATTTTTGTGCAGGCG
    AACTGTATAACAGGATAAAAAATGATTTGTATGTATTGAAAAGG
    AGGAGAAATTCTCACAGAACACCATATGAGCTTTAGACCAAAA
    GGGGAAACAAGGTTTAAGTAACTAAAATGGCCACTTAGTTTGT
    GTTTATTTTTTTCCCTGGAAATGTAAGTAGTTGGAGTTTAGGCT
    ATGGAAATATTAGTGCCTTTAATAGATCTCTTTCCTTGCAAAGT
    TTCTTTTTAGCTCAGCATTGATCTATCTTATCAATAGGAAAATAA
    GTTGACTTGGAACTATAAACAAAAACAACACCATATATTTATGA
    ACCTCAGTGAACCAGCCTAGAAAAATTGACTTCTGCAGGTGCT
    AAAGCACCTACTAATACGCAGCATGCACAGCATTTCAGGTTGT
    GAATACCATTTTACAACGAGTTTGCTGTTAACTCTCTTTATCCA
    ATGCAAACTTGAAATTCTGATGCGGTTTTCCAGGGTGGTATTTT
    TTCAGAGTATTGAATTTACTATTTAGTAATTTATAGTATAGCTTT
    TTATATTAAAATGTGATATTTTTAAAAGAGATATCTGGTTCAATT
    GGTATAATGACGTGATTATGCAATATGCTGATCTACACCTTGC
    GCTCACATTGTGCCAAACTTAAATGTGCAAGTGTACGTGAGAA
    AAGCACATGTGAATGTGAATTCTTTAATTCTTTGCTTATTATGTT
    AAAATTAGTCTTCATAGTCCACTGATGTGTATGCTTGAATAATG
    TCTATTTACTTTGGAATTTCAAGATTTCCAGCTTCAATGGTAATT
    TATAATTTCTCAGATCACCTTAAGAAATATTGAGATACTCTCCC
    ACCTGAAAATAATCTGTTCTTTAACCCACCTGACTATGGGAGT
    AGCCAGGCAGGTGCCTCACTGGCTTCTTCAGACGAGGCTTCC
    TCAGGTGGATATATGACTATTAGGGGAAAAGAGGCTTTTGAGA
    CAGCTTATTACCTCCTTCCCCTTTTTGAACTAAGTACATTGTCT
    CAGTCCCAGTATGAATTTGTCCCATTTGGGGTATTTTTAAAATA
    AAAGATGGCTAACATGGAATCTGGGGCATAGCCTTGGCCTTTA
    ATTATGGTTGTAAGCCCAAATAATGGCAGAGAAACACAGGGCT
    GTTTTTACAACAGAAAACTCAATATAAGTTTTATATAAGAATCCT
    ATAAAATTTGAACCAGAGCTCCTATTTAGTTGTTATAATGTCTC
    CTAAAGATCTTAAATGCTTCTAAAAGCTAATTATTATTCCAGAG
    CAACTTTTTCCTTTTCCCCCTTATAAAGTTTTTTTTTAAATCCAA
    AATCTTAGATTTCTGTGCCACAGCAAAATAAAATGATCAACAAT
    TAAAGATCTGTACTTAAAATAGTACACCATTTTTAGTGGAGGGA
    GGGTGCATGCCTATATGATGGTAAGATTCTTTTGAACTCTAAG
    GACAATTCCTCATGGAAAAAATAAATTTCAGTGCATATTATAAA
    AATGATTTGCACTGTGTTAGCAAAATAAGGTGTTTTAGGTTGTA
    TTTTAAAGACAATTCTAAATCATTTCTCTGGAAAGCAAGACCTT
    AAATTCTTCTCTTTAATAGAACTGCTTTTATGCAAAGAGATGGT
    CTTAACATGGACTAAACAGTACATAACAATAATGTTTGTTATGT
    AAATAGTATATCACATTTGCTTAGTAGCACAATTCAACAGCAGG
    CTGAAAGTCGTGGCTCCTCTGCTCAGATTGAGTTTTAAGTTAC
    CTAATTTATGTAATCAGAATCTATTCTAGGTGGCCGTCAACGTA
    AACTGTGTTTC
    1199 SESN3 3387260 CTAGTGTCAAAGTTTAGCCGTTTGTTTTTTTTTTTTTGTTTTTTG
    CGGCTGTAATGTGCAATGATGTGTTTTATTTTCCTTGATGCTTA
    ACATTACTAACAATTGCAAAAATAATACTGAGGAGCACTACTTT
    GCATTGTTTGTAGTTGGAGTTTTGGATACTGATCATAAATCATG
    AATCTGGCGTATTAATGCTTAAC
    1200 SESN3 3387261 TACTTTTAATGGAAGCACGAATGCAAGCTGAACTTCTTTATGCT
    CTTCGTGCCATAACTCGGCATTTGACCT
    1201 SESN3 3387262 TATGGCTTCAGTACCTAACAGATTTTTTGAAGTCTTAGAGCCAC
    TCACATCAGGTAAATACCCATTTTACATCCAGCATTTCCCCTTG
    ATGGGTCTTTATCCCATATTTATATGTTTGCTCTAGATTTTCTTC
    CTTTTCTAGATTGTATCTAGAAATTCTCTTTACTCTTCAGGAGA
    ATATATCCAACCACATATCCAACTGGTATAAATATATCAAAAGA
    ATATAATATTAAAACATATTTTTATAGTAAATTTTGAAAACTTGT
    GGATACCCATTTTAACTTATCAGCCGAGATGTAACCCCGAAAG
    AAATGTTCTGCAGAATTTTATCTGAAAGACTCTAGGGAAGCTAT
    GTATGTCTA
    1202 SESN3 3387263 GTACGTGTTTCAGTATTAAGCATTATACCATAG
    1203 SESN3 3387264 GAAGCCTGAAGGTTTACATTAAGACAGTGACCTGCTATCCTGA
    GAGAACTACAAAACGCATGTATGATAGTTACTGGCGGCAGTTC
    AAACACTCAGAAAA
    1204 SESN3 3387265 GGTTCTCCCTGGTGAACAGACTTTATTCTGACATTGGACATCT
    TCTTGATGAAAAGTTTCGGATGGTCTACAATCTCACATATAACA
    CTATGGCCACCCATGAGGATGTTGACACAACCATGCTGCGCA
    GAGCTTTATTTAACTAT
    1205 SESN3 3387266 TGACATGATTATAACATCTGATGTCTCTCGATATATTGAAGACC
    CTGGTTTTGGGTATGAAGACTTTGCCAGACGAGGAGAAGAGC
    ATTTGCCAACATTCCGAGCTCAG
    1206 SESN3 3387267 CAGTGGTGTTAGTAAGATACAGTTAATTTATTTCTTAAATGGAT
    ATTTCTTCCTGTATTAATGAAACAAAAAATAGATAGTAAGTGTG
    TAGTATAGTACTTGGTATATGGTAAGTACTCAGTAAACACCGT
    CTCTTTTCTTTATATGTAATGAAGTTTGTTAAGAATTTTAATAAG
    ATTTATCTGAAATTGGGTAACCGGAGCACTTAATCTTTCCTG
    1207 SESN3 3387268 TTGACCAGCGTTATAAAGTATTCCAGATTCTATGTAAGGATTCT
    AAGAATAGTTTTTCAAGTCTTTTGAAGAAAATAAATGTTTAAAG
    TATTCTACAGGGGTCATATTCTGTAGCTTGGTAACAGGGTTAA
    CTAGCTTTTACTGTTTTTTGTATTTTCAGTTACGCATTCCATTAC
    TGCAACAGAATGTTTCCCGTATTATGTCAGTAACTACTTCTTAG
    GGGCAGAATAATGCAGATAATGAACAAAATACTATTTCTTTTGA
    GTACAGACTTTGAAATATTTGTTTAGATAGAATTAAAGCTAGAG
    TTTTAGATTTAATAATCAGAATGCTAATTTTAACTTCTTAAGATA
    AATTTAGGAAAAAAGTATTTGTGGATTGAGGGACCTTTGTACAT
    TTC
    1208 SESN3 3387269 TTTCAGTCTCTACCTTCTTGGAACTTTAAGCTGGGACTACAGC
    CTTCAAAAGTGAATTTTGACTAGAAAGTCTTGGACCTTAGCCA
    A
    1209 SESN3 3387270 CTCTTCTATCTTACCCTCATGCTATTGCTTTCCCTCAGGCTGGT
    TCATCCTTGAATGTATTTCAGATTGAGTTGAGAGAAACTTTCAG
    CTTTGTAGTTCATACTCTATCCTGGATA
    1210 SESN3 3387271 GGATTCTCTAAGTGAGCTAGAGGCCTTAATGGAAAGGATGAAA
    AGACTTCAAGAAGAAAGGGAAGATGAAGAGGCGTCTCAAGAA
    GAAATGAGCACTCGTTTTGAAAAGGAGAAGA
    1211 SESN3 3387272 TGGTCTCTGCCTGAACTGGTACATGCTGTGGTCCTCCTGGCA
    CATTATCATGCTTTGGCAAGCTTTGTTTTTGGTAGTGGTATCAA
    TCCAGAGAGAGATCCAGAAATCTCCAATGGATTCAGGCTAATA
    TCAGTCAACAATTTCTGCGTTTGTGATCTTGCTAATGACAACAA
    CATAGAGAATGCATCTCTTTCAGGCAGCAACTTTG
    1212 SESN3 3387273 TTTTAAAGACTGGAGGTATTGCTGAGTGGTTGAATGGTTTGGA
    ATATGTGCCACAAAGACTGAAAAATCTTAATGAAATTAATAAGC
    TGCTAGCACATCGACCTTGGCTGATCACAAAAGAGCACA
    1213 SESN3 3387274 GTGCTTATTTTCCTATGTTCACATAACACCTTCCTCACTTATTCT
    TTCTCCCTTCCAAAATAGGCATGTGTCCTTGTGTGTGTATAGA
    GCTAAGTATAATTTATGGACATAAGAACTGAAGAAGCCTATGG
    CCTTTTGGATACCAAGTGTCTTGGGTATATTTGGA
    1214 SESN3 3387275 GAATACTCTACATCCGGTCGTCTGGACAACATCACACAGGTCA
    TGAGTTTACACACTCAGTACCTGGAGTCTTTCTTGCGGAGCCA
    GTTTTACATGTTGCGCA
    1215 SESN3 3387276 TCTGTTTCCAGTATGAGCAACTGCATAATTTCAGTGTCTGTTAA
    TATCAAATGAATATTCATTTGCTTCAATAGTGGCATAATTTATT
    1216 SESN3 3387277 GACAAGAGGACCAAGTGCCTTTATTCCAGA
    1217 SESN3 3387278 AGTGAGCGTGCCCTTGATACTTTTCTGGGGACTGTAATGTAAG
    CAGAAATTGAGACAAGGGTCCTTGGAACTGGCTGATAGTTTTT
    TTTCTTCCTAATTTGCCCAAATAGGACAAATAGGTTGATTGGTT
    CAGAGCATTTCTGCAATTACACTAAAATGCTTGGTTCTGGGATT
    GAGTAGGTGTGACCATCAAATGAATAACTCTGTGGAGCAGTCA
    TTTAACATTTCAAAAAGTTATAAAAATGTCTGAAAATGCAATTTT
    AAAAAAGCAAAACCAAATGAGTCCAGAGCAGCACTGTCCGGT
    AGAACTGTCTGCAGTGGAAGATGGAAATGTCTGCGCTGTCCT
    GTAGAGTACACGTGGTCCTATG
    1218 SESN3 3387279 CGGAGAAGAGCTAGCGAGTTCTCTAGATAAAAAAGATTCAGGA
    GGCAGTTGCATGGGTTGCTCATTTTCGTATCCTGTGCCCTTAT
    TTTTTCCTTCATCTGCTCCATCGTCTTCCCTACAATATAGTCAC
    CATAACAAATTTGAGTAGAATTTTGTTTTGTGTAAAGAATATGG
    TAGCCATAGAAGAGAACATTGA
    1219 SESN3 3387280 TAAAAAGTAGTAATGTTGGCCGCGCGTGGT
    1220 SESN3 3387281 CCATTATCTAGGTTGCACATTTGTGAAAGCATCAGTATATGATG
    CGTTCCATGGTTGGGATCTAATGATACCCAGATCAAGCCATGA
    CATAACTAGTGCAGTGTGCAAGATTCAAGCCCTATTC
    1221 SESN3 3387282 AGGTGGTACCTGATGCAGGAATATGTGAGTGTTGGTGTTGGA
    GAGTGTTGTGAGAGGAAGATTATTCAGCAGAAACAAACCCTTC
    CTCTGATGAGCAGAAGTGGTGGAT
    1222 SESN3 3387283 TGGCGAGATGTGGTTCTGCTATTTATTTTAAGTTAGAACTCTTA
    TTCTGAGAGTTTTCCATAGAAACACAGTAAGATATGTGGTTAA
    GTTCCAGAGTACTGTTAATATTACAGGTATGTTCAGGCATTTGT
    TAATTAGCCTAGAAACCTAACCACTGGGTATAACGTTTCCAGA
    GGAACATATATCCTGAAATTCAAGTAACCGCTTCACTAGAGAC
    TGTCTTTCCTAACTTGTTTACTCAGCATTAAAAAGGTAATGATT
    TTGGCAAAAAAAAAAATATTTTTCAATATGTTTACTCCAAGGAT
    GTGCTTGTCGGTTGTGCTGTGTCTAATAGGAAAACTGTGTTAA
    TGAAGTTCCATCCAATATTTAGGTAGGAGTTGAATGAAGAAAG
    AGATAAAGTTGGGTAATAATAAGCAGGGTGTTGGGACAACTGA
    TGGCCAATATCAAACTGGCTTATCCTTGTTCACTTTGTA
    1223 SESN3 3387284 AAAGATCACATTTACCTCATGGGTAACTAAAGCTGGGTTTTGT
    GGAAGATCATTGTAATTATCTGAAACTGTGACTCTTACTTCCTT
    TTTTTTTTGGAGTCTCACTCTGTCACCCAGGCTGGAGTGCAGT
    GGCGCCATCTTGGCTCAGTGAAACCACCGCCTCCCGGGTTCA
    AGCGATTCTCCTGCCTCAGCCTCCTAAGTAGCTGGGATTACAA
    GCACCCACCACCATACCCAGCTAATTTTTTATATTTTTTGTAGA
    GACGGGGTTTCACCATGTTGGCCACGCTGGCTTCGAACTCCT
    GACCTCAAGTGATCTGCCTGCCTTGGCCTCCCAAAGTGCTAG
    GATTAAAGGCACGAGCCACCCAGCCCGGCTGTGACTCTTACT
    TTCAAAACACATTTTATAATATCTATAATGACAATAGCTTCTACT
    GAATACTACTTATGTGCTAAGCATTTAAACTCTACATATGTTAT
    CACATTCAAGCATCACAATTAACCTGCGATGAATTATTACTCAC
    AGTTTATGGATAAAGAAACTAGGGCTCACAGGGC
    1224 SESN3 3387285 TGTGCAGGTCTTGAATTACAATTTGTTCTGCTATCTTTGTACAG
    ATATTTGAATTTTTTTTTGTTACTGTGTCATGTATGAGAAAGATT
    GTCATTGATTGTGAAGGAACTGGCTTTTTAAAAAGAATTCCTTC
    CATATTTACTTAAGTTAAATGTTTACTTGTGAGAACACAAATTTA
    TTGTTATCAGTAGTTGTAACTTTATTACTAAAATACTTGAAAGTT
    GCTTGGTATATTTATATGCTTTATAGTTCAGGTTCAATAGAAGA
    TTTAATTTGTAAAAAGTGTTCTGCTGCTTC
    1225 SESN3 3387286 GTCGGCCGCCGCCAACTACCTGCTCTGTACCAACTGCCGGAA
    AGTGCTGCGGAAG
    1226 SESN3 3387287 CCCTCCGCCCGCTCTCGCCTCGGCG
    1227 SESN3 3387288 CGTCTCCGCCGTCGCTGGGGCAGCTGCCGCGGTGGTCGCCT
    CTGGCAGTGCCGCTAGCTTTCAGGCAGTCGCCTCTCCTCCCG
    ACATCCCGCCTTGA
    1228 SESN3 3387289 GCCAGTAGGCGATGCAAGTTATCTCTGGGGCCCGGAGGACAC
    GAGTGAGGACCGGGCACCAATCAGGTTCTCGCTCTGCGCCG
    GCCTTTGTTCTCACTCGGGAGCAGGTTGCGGGCGTCTAGCAT
    CGGGAACCCGCATTCGACTCGGACGCGCATTGCTA
    1229 NR4A1 3415226 CAGGAGGGCCCCCTGCGCTAATCTGCCCTGGCAGCAGCGAG
    CTGGCACGCCCTGGGTGCATCATCCGGTGTGCTCT
    1230 NR4A1 3415228 GACCCGCCGGGCCAGATCCCATCTCTGGCGACGCGGAGAAA
    AATCTGGAAGCCGTCGTCGGA
    1231 NR4A1 3415230 CCGCGCGGCCGGAACTGCGGGCGGGG
    1232 NR4A1 3415231 GGCGCCCCTGCGGTGCAGAGCAGCTCAGGGCCGGCTGGTGC
    GCGACCCCGGAAAGCGGG
    1233 NR4A1 3415232 AGTCCAATAGCCAGTGAAGGCCTGGTCCTGCCCT
    1234 NR4A1 3415233 GCCTCCACCATGGACAGAGGCCAGGCCCTGC
    1235 NR4A1 3415234 GCCCTGAAGGCAGACGGGATAATGTGGTTGGCCAAGGCCTGT
    TGGTCCATCCAGAGTG
    1236 NR4A1 3415235 CCCAGGGTCACGCTCATGCTGGGGCTCCCGTCAGCTGACTAT
    TTTG
    1237 NR4A1 3415236 GTCAGGTCCAGTCAAGAGGGCCCAAAGTG
    1238 NR4A1 3415237 CCAACCAATCTTGGGATTCTCCCTTCGTGCGGTTGTCTGGGAC
    CTTTTTCCAGGGTCAAAGCAGATCGTGAGGAGGAAGC
    1239 NR4A1 3415238 ATTTGGATGTGGAGCCTCTCCTTTCCATTGTGAACTGAATTCTA
    CCAGCACTGGGCCTGGTGATGTCTGCATTAGGCAGATGAGGA
    AGCAGTCTTGGAGAGGACAAGGGACTGGCCTCAGGTCACACA
    TCAGGCTTGCTAGCTCCTGGACAAAGATGCCTCTGATAGCTCT
    TCCATA
    1240 NR4A1 3415239 CCTGCCCTGGGCTACTTACTACTGAGGATGCACAAAGGATCTT
    CCCACCACGGACTAGGAGACAGTGCCCTTGTCCTCATGTTGTT
    CACATACTGGTCGGTGAGGGATGGGTCTGAGTACATGATAAA
    TCCCTGGGCCCCATAAGATTTGACTAGGAGGGGTAAGGGCCT
    GGTGAACTGCTCAGAAAATAAACTGTGTTGTCAGCAGGAGGA
    CCCCTTTCTACTATGAGATATTGCATTCCCTGCTAATCATACTT
    GTGCTCTATCTGTTGATAGAACAAATACATAATGAGAAACAGC
    CACTGTGCTTTCAGAAGAACACACTTGAAAGAATTTGTTCTCAA
    TAAATTACATCTGCATCTGGATCCATATGAAGAAATACGTTCCT
    CTCATTCAGGCGTGGCTATTT
    1241 NR4A1 3415240 ATGGCCAAAGCTCGACGGGCGGCCTGCGTCAGTGGCGC
    1242 NR4A1 3415241 GGCTCGGCCGGGGAGTCCCAGTGGCGGAGGCTACGAAACTT
    GGGGGAGTGCACAGAAGAACTTCGGGAGCGCACGC
    1243 NR4A1 3415242 GACCAGGGACCAGGCTGAGACTCGGGGCGCCAGTCCGGGCA
    GGGGCA
    1244 NR4A1 3415243 TTCCCTTCGGGGAACGTGCATCTGTTTTTAGGAGCGGTGCATG
    AAGGAGATGGGTGTACGCGCGGGCAGAGAGGATGTTGTAGG
    GCCGGCATGC
    1245 NR4A1 3415244 TGTTGGAGTCTTGGGGCGGTGCTGCCTAGAGGATACCTCCCA
    ACCATTCCAGCTCCAGATGCTGATCATCCCTATG
    1246 NR4A1 3415245 TGAGGCTTGTTCAGCAGAACAGGTGCAAGCCACATTGTTGCC
    AAGACCTGCCTGAAGCCGGATTCTCC
    1247 NR4A1 3415246 TGTCCTAGTGCAGGCAGATGTGGCCACCCTCACCTCTCGCAG
    GGTGCTGCATGCCTG
    1248 NR4A1 3415247 GTACTGTTGTCCATTCTCCTGAGAGTCCAGGGGGCTGTGGTC
    TCCTTCCTCCCCCCTTGCCCTGTCCCCAGCAAATGGCCTTTAA
    AGGTCTGGAGCCAGGTTACCGATGAGGAGGCCTAGGTTCCCT
    TCCTCTTTGCTTCTGGGAGCATCTCGAGCAGTGCAGAGTGGC
    TTCCCAGCCCCAGATGGCAGGATTGGGGTGGGTTTGGGATCT
    GCTGCCTTTGCTCAGTGTGCAGGGTTGGGGTGGAAATGGGGG
    ACAGGCTAGGGCCTCTGCATTAGGCTGCCTTCTTAGGCAGGT
    GGGCTTTCACTTCCAGCTCCTCTTCCATTTTCACGATGTCCTTC
    TTCCTAGGCACTGCGAGGGGAGGAGAAAAGGGGCTTTGCAGA
    GGCCTGGGAGTATTCCCAGGAAGTGCCTGGTTGGCGAAACAA
    CCAGGGAGCTGCTCCTGGGAGCTGGGCTGAGGCTTTGCTGG
    GCTGCCTCTCCCACTCACCCTTCTCCCGGCCCCCACCATGCC
    TTCCCCATGGGGGAGGGGCAGGGGGCTGGAGGAACACAGCT
    TCCCCCTGTTCTAGCAGAGAAATGCTGGCTGTATGCCTCCCCT
    AGGGTTCCCAGGCTGACTAGGGTGTGGCTGGCCTTCTGATGG
    AGCCCACTCATGCTGGGCCGCTGCCCAGGGGCTTTGTGGCAC
    CTAGGTCGAGATGGTACTCAGGCCAGGGGTCAGGATTCCTGG
    GTGCTCTGGTCCCGGTGCCTCTGTCTCATCTTTAGGCTGGGAT
    TCCTGC
    1249 NR4A1 3415248 TCCAAGCCCAATATGGGACACCAGCACCGAGT
    1250 NR4A1 3415249 GACCACCTGGCAAGCGACCCCCTGACCCCT
    1251 NR4A1 3415250 CCAGCTTCAGCACCTTCATGGACGGCTACACAGGAGAG
    1252 NR4A1 3415251 CTCGGCCTCCTCCACATCCTCGTCCTCAGCCACCTC
    1253 NR4A1 3415252 GACTTCCAGGTGTACGGCTGCTACCCCGGCCCCCTGAGCGG
    CCCAGTGGATGAG
    1254 NR4A1 3415253 GGCTCCTTCGGCCACTTCTCGCCCAGCCAGACTTACGAAGGC
    CTGCGGGCATGGACAGAGCAGCTGC
    1255 NR4A1 3415254 AGAGAGCTATTCCATGCCTACGGCCTTCCCAGGTTTGGCACC
    CACTTCTCCACACCTTGAGGGCTCGGGGATACTGGATACACC
    CGTGACCTCAACCAAGGCCCGGAGCGGGGCCCCAGGTGGAA
    GTGAAGGCCGCTGTGCTGTGTGTGGGGACAACGCTTCATGCC
    AGCATTATGGTGTCCGCACATG
    1256 NR4A1 3415255 CGCGCAGCCCCAGGTGGGGCCTTTTGTTGGAAATGGAGAGA
    GGCTGGCCTCATCCCATTGGGACCTGTGGTCTCCC
    1257 NR4A1 3415256 GAAGCTTTCATTTGCCGGGACACTCGGGCCCATGGGATTGCA
    CAGAGCTGGAGGGAGGGGTGAGATAGGGGCAGATAGGAGCT
    GCAGGGGTGCCTGGCGAGCCTCTGGTTTTCCTCTGCTCCTCT
    GCCTGTCCTCTCCCAACTCAAGGTTCTAGTGGGAAGGGGTGC
    CCCCAGGCTCTCATGTTCCTGGCGTGAGATGAAAGGATCCCT
    GCGGAGGGTTTGGTTCTTGAGGGCTGGGGGTGGACTTGGGA
    ACAGGCTGTGTGTTTGTCCCAGCGATGGTGCCTGCTTAGCTTC
    CCGTCCCCACCCCCCAGCCCCTTGGCCCTCTCCTGTCTGCCC
    TAGGGAGAAGGCAGGTGGACAAGGGCCCATGAAAAAATACAG
    GTGTCTAGACTGCCAGGGAGACCCTGGCCCCCAGTAGTGTGT
    CCTGGGGACTTCCTCAGAGCGAGAAACCTCCCCCAATGTCTT
    CAAGACTTTTCTCTCCCCCCGCCCAACCCCGTCTCTCCCTCCC
    TTGCCACCCAAATGTTAGAAAAATAGCTGTGAACAGAGAGCGC
    TTTTGTCTGCAATGGCAGCAGGATCTGGACGGTCCCCTCCCC
    TAAGTTCCCCCCTCCCCACCCCACACTCTGACAGCTTGTTCCG
    TGTTGCCC
    1258 NR4A1 3415257 GCACAGTGCAGAAAAACGCCAAGTACATCTGCCTGGCTAACA
    AGGACTGCCCTGTGGACAAGAGGCGGCGAAACCGCTGCCAG
    TTCTGCCGCTT
    1259 NR4A1 3415258 CCCAGCGGGGCAAGGGTAGGCTTGAGTGGAGTGGGACCAGC
    AGGGCCCCCAGGCTTCTGCCCTGGAGGACCCAGAGGAGGGC
    ACGTCTTATTTCCACCCCACCTCTGAACCCCAGGCCTTGGAGG
    GAGGCAGCCTACACCTGCCTGGATTGTGAGGGTGGTGGCAG
    GGGGAGGTTCCTATAGGGTACCTTGGATCTCAGGGACTCTGG
    GTCCTAGGGACTCGGTGGGGCGCGTCTCAGCAGTGGTGTGC
    ACGGCTTGGGCTGAGAGGCC
    1260 NR4A1 3415259 TTGTCCGAACAGACAGCCTGAAGGGGCGGCGGGGCCGGCTA
    CCTTCAAAACCCAAGCAGCCCCCAGATGCCTCCCCTGCCAAT
    CTCCTCACTTCCCTGGTCCGTGCACACCTGGACTCAGGG
    1261 NR4A1 3415260 CCCAGCACTGCCAAACTGGACTACTCCAAG
    1262 NR4A1 3415261 CTTTGTGCGTGTTAGGAGAGCTACCCCCTCTGGAAGGACTGA
    ATGAGAAAGGAGGTTTAAAAAAGAAAGAAAGAAAAGCGACTCC
    CTCCAGTTCGACAGATCAAAGAGAGGATCCCCCTCTCGGCTG
    ACCAGATGGGAAAATGCACCCCCTCAGGCAGGTGGCCAATTA
    GAA
    1263 NR4A1 3415262 GGGATGTACAGCAGTTCTACGACCTGCTCTCCGGTTCTCTGG
    A
    1264 NR4A1 3415263 GTCATCCGCAAGTGGGCGGAGAAGATCCCTGGCTTTGCTGAG
    CTGTCACCGGCTGACCAGGACCTGTTGCTGGAGTCGGCCTTC
    CTGGAGCTCTTCATCCTCCGCCT
    1265 NR4A1 3415264 CTTTCCCTGATACACCTGCCTGTGAACCACCCTGATCGCTCTT
    CGTGCC
    1266 NR4A1 3415265 CTAAGCCAGGCGAGGGCAAGCTCATCTTCTGCTCAGGCCTGG
    TGCTACACCGGCTGCAGTGTGCCCGTGGCTTCGGGGACTGGA
    TTGACAGTATCCTGGCCTTCTCAAGGTCCCTGCACAGCTTGCT
    TG
    1267 NR4A1 3415266 TCAGATGTACAGCTAATCCTGTACCCTTCC
    1268 NR4A1 3415267 ACCGGCATGGGCTGCAGGAGCCGCGGCGGGTGGAGGAGCT
    G
    1269 NR4A1 3415268 GAACCGCATCGCCAGCTGCCTGAAGGAGCACGTGGCAGCTG
    TGGCGGGCGAGCCCCAGCCAGCCAGCTGCCTGTCACGTCTG
    TTGGGCAAACTGCCCGAGCTGCGGACCCTGTGCACCCAGGG
    CCTGCAGCGCATCTTCTACCTCAAGCTGGAGGACTTGGTGCC
    CCCTCCACCCATCATTGACAAGATCTTC
    1270 NR4A1 3415269 TGCACATGCGCACTCTCATATGCCACCCCATGTGCCTTTAGTC
    CACGGACCCCCAGAGCACC
    1271 NR4A1 3415270 CTGGGCTTGAGCTGCAGAATGACTCCACCTTCTCACCTGCTCC
    AGGAGGTTTGCAGG
    1272 NR4A1 3415271 GGGTGACCCCACGATTTGTCTTATCCCCCCCAGCCTGGCCCC
    GGCCTTTATGTTTTTTGTAAGATAAACCGTTTTTAACACATAGC
    GCCGTGCTGTAAATAAGCCCAGTG
    1273 NR4A1 3415272 ACCCTCCTTCCACATGTACATAAACTGTCACTCTAGGAAGAAG
    ACAAATGACAGATTCTGACATTTATATTTGTGTATTTTCCTGGA
    TTTATAGTATGTGACTTTTCTGATTAATATATTTA
    1274 RP11- 3424282 GTGTAAAAGTGTGAGACAACACATTTCTGTTGTTTAAGACACA
    121G22.3 CAATCTGTGGTACTTTGATACAGCAGCCCTGACAAACTAATAC
    ATGGGGTGTCTCATTGTAGTTTTAATCAGTAACACCCATTATGA
    ACTGAAAACGTCTGCTACTT
    1275 RP11- 3424283 CAAGAGGTGACCATCAGCAAGCCCAGGAGAGAGGCCTCAGAA
    121G22.3 GAAACCAGACCTGCTGATTCCTTGATCTTG
    1276 RP11- 3424284 CAACTTGAATGCTTCCTGATTAAATATATACAGGAGTGATTTCA
    121G22.3 GAGGAATTT
    1277 RP11- 3424285 CCATTAAGACTAACCGTTTTTGCTGGAGCTGCAAGATTTTCCAT
    121G22.3 TTCTTCATGAGTCACCCAAACGTTGCCTGAAGGCTAGTG
    1278 RP11- 3424286 GTGGCTCTTGAACAACACAGGTTTGAACTGCATCATTCCACTT
    121G22.3 ATACACAG
    1279 RP11- 3424287 ACTCCTGAGACAACATGACCAATCTCTCCC
    121G22.3
    1280 RP11- 3424288 CGTACTTTCAACATAAAGACGACGAGGATAAAGGCATTTATGA
    121G22.3 TGAACTACTTCCACATA
    1281 RP11- 3424289 GCTTACTTTATTGTACGAATGGAGCATATATGTGTACATATAAA
    121G22.3 ACACATAATACATGCTTATCAACTATTTGTGTTATCAGTAAGGC
    TTCCAGTCAACAGTAGGCTCTTAGTAGTTAAGTCTTGGGAGAG
    CCAAAAATTCTAGCTGATTTTTTGACTGTGTGTGGGGGGTCAG
    CACCCTTAACTCCTATCTTATTCAAGGGGCTATTGTATTCTAAA
    TTGTCTTTTAGCTTGAGTCATAATCCAGGTATAGTG
    1282 RP11- 3424290 GCAAAATACAGTGCCAAGAGCTCTGGACCACAAATCAGAAGA
    121G22.3 CCTGAGCCCTAATTCCTTTCCA
    1283 RP11- 3424291 TTTGTTCGTCGCTTGCCAAAATAGCAGCGAACTCTCTGTCAAA
    121G22.3 CTGCAACTCATTTTATCGGAGCAAAAACT
    1284 RP11- 3424292 GAAGCAGCTGATCGCTAATATCTGATGGCTAATATGCTAAATT
    121G22.3 TCCCTGTC
    1285 RP11- 3424293 GAGGCAGTGCAGCTTGTGTTACAACTCAAAAGAGTAATACTCT
    121G22.3 GAAAAAAGAAAAAAAAAGATGGCGCTGAAAATAAACATGTTCA
    GCAGCCATTGTGATTCAACTTACCCAGATGTGCTTTTCATGAG
    ATGGAGAAGGACGGATGGAAAAGAAAAGCACACAAATGTTAAT
    GGATACAGTTCAATCCAAAGAAAACCATGGAATAAAACAAGAG
    CATTATTTAAGATGTGAGAAAGCTCAGGTATGAGAAAGACATG
    GTGCCATTTTGTATTTCATCATGACACACATACTCACTGCGTCG
    AAAAGCATAGTCA
    1286 MYBPC1 3428597 GCGAATGCAACTTTGACCCTAAGAAATCCTTTATGCAGGTGGA
    GACACAGCTTCTTCAACCAATGAAAGAAATAATATCTGGCTTCT
    TGAATAGTTTCATGGTGCCACCAACAAAAACTATCATAGACCA
    ACAATGGCAAGATGGCATCGGCAAGAATGAGCTG
    1287 MYBPC1 3428598 CCAGAATCTCATCGTGCAGGCTACAAATAGCAGCTGCAGCTG
    CAGACCAAGGGCTGGCCTTTACATGTCCATGGTGCAAAAGGA
    CTCCTG
    1288 MYBPC1 3428599 CAACTGCTTGTCACACCGACCTGCACCATCTCTCGCCTGCCTG
    TGGGGTTTCTGTCAACTAGTCGTGGAGGGAAG
    1289 MYBPC1 3428600 ATGCCAGAACCCACTAAGAAAGAGG
    1290 MYBPC1 3428601 AGTATCCCCGAATCAAACATGAATGTTGAAGTCAACTACCCAG
    ACTGAAG
    1291 MYBPC1 3428602 TACACACTAACTTTAATTTGGAATACAGTAAATATTGTATTAGT
    GTGTCATATATTTACTGAATTAAAAATTAAAATTGGTTGGGCAT
    GGTGGCTCATGCCTATAAACTCAGCACTCAGGGAAGCAGAGG
    CAGGTGGATCACCTGAGGTCAGGAGTTTGAGACCAGCCTGGC
    CAACATGGTGAAACCTTGTCTCTACTAAAAATACAAAAAATTAG
    CTGAGCGTGGTGGTGGACCCGTGTAATT
    1292 MYBPC1 3428603 TGCCAGGGGACGGTTATGGATTTCTTGGCAGCAAGGAGAAGC
    GGCTTTTGTGCAGGGAGGAACAGCCTGCCAGTCAACTATATTT
    ATGGAGCACCTGCTGTGTGGAATCTGAAAAGGAGAAGGAGAA
    GGGCCTTGTCCTCAAGAAGCTTGTGATCAAAGGGAGAAGAAA
    AGTCCCCATCTACTGT
    1293 MYBPC1 3428604 TGAACAACGGCTTTGAATGCGAACCTGGGGAGTGTAGACCTA
    ACCAAATAATAAT
    1294 MYBPC1 3428605 ATTTGGCACGGGAAATGCTATGCTCTTTGTTCATGTGGATGCC
    TTTACCTACTTGGAAATAGTATGTTCTTTAACAGAAGTTTCTTT
    GTCAGACTTCATAGCCAGACTGCTCTGTAATAACCAGA
    1295 MYBPC1 3428606 AAAATGAAGTGCCAGCCCCAGCCCCACCCC
    1296 MYBPC1 3428607 CACTCACACACGTTTGGGCTGCAAATACAGAGGGTCCATCCC
    AGCATGATTTGGCCTCCACGGGTGCTGTGAGCTGTGAGCTTT
    AACCTAACTCCTACTGAGAAGTTGGATGGTGACCATTGTGATA
    AGTTGAGAATAATAAAAATAATACACTGTGTTTATATAATCCTC
    TTGTGTTAATCTAATTTGGATGGCACTTCATATATATTAGGGGG
    ACAATTCTTATGAAACCTTTCAAATTATGTAAAAGTTATTATGTC
    CGCATTTTACAGTGTGGAGGCTGAGCCTCCATCCAAGGGGCT
    GAAGAATTTGTGAGGCTTTTTCCTATATAGTGAAGGTCAAACA
    AACCCACATCTTCTTTATGAGAGTGGGGAGTGGATCCATCTCT
    ACCCTG
    1297 MYBPC1 3428608 CTGGCAACAGGAAATGAGTACAGAGATCCAGTGAGACCCTT
    1298 MYBPC1 3428609 AAAAATATGCTTGTACTTTCTACACAG
    1299 MYBPC1 3428610 AGAGAAGGAGGCCGGAACTACACCAGCAAAAG
    1300 MYBPC1 3428611 TCTGCAAGTCCCAATCAGTATAATGACAAATGGTGCATTGCTA
    AGTTTCCATTACATGTATTTCTAAAAGAAAAACAACAATGATAA
    AAATATCACAAGCACTTGTTGAGATGCCAGCAAATTAATTGGT
    AGTTTCCAAGTTTCGACATGCATGCTA
    1301 MYBPC1 3428612 GACACTACTGTTGGGTGATCTAGACGAAGACTATTTCATGATA
    CTCTGAAGCGCTGCATTCATATGTATTCCTTCATGGTCTAAAAC
    AACTGTGCATGTCCTCCAAATAGTCTTAACATTTAGTAGACTTT
    GAAACTACTCACCTATCAAATTTTTGCTTAAAAAACAGATTGCC
    GGCCAGG
    1302 MYBPC1 3428613 GCACAATGTTGTGGAATGTGAATGCATGCATATTAGTTCAGGA
    GAAAAAATTCAAAATGAACTAAGTTTGGGAG
    1303 MYBPC1 3428614 TGCTAACAGGAAACAATACCGACGTTCTTTTTCTTATAGCATTT
    GTATTATAAAAAGCACAAAGCTCCAGCCCACTGAA
    1304 MYBPC1 3428615 ATGAAGTCTTTTCTCCTTGACTTTTTACTCCTATTTCTTG
    1305 MYBPC1 3428616 GAAGAGGAAGTCTCCCCGCCTAGCGCCTTGCCT
    1306 MYBPC1 3428617 GCTTTCATACTTGGAGCTCTACTGATTTTCCATCCAAGCCAACT
    TGTAGGGTTTTTTCCTTCCTATCACCAGAGGAGACAGGGTTTA
    GGGGAATCCAAGAAGGTTGAAGTCAGCACT
    1307 MYBPC1 3428618 TTTGGGTAGTCGGGCCCTGGAGAGAAAAGATTCAG
    1308 MYBPC1 3428619 GAGCTCATTTCTTGAAGCTGTATTGATTCTAATCCTTGTCTTAT
    TCAGATTGTAGTTTTTACGGCAATCTTTCATTACGTTTCCTCTT
    ACAAGAAAACTAATGTATTGAGAAACAATTAATTTTGCATGATA
    CACACGCATTCAAGGATCTAGCCAAAAATACCACAGGTTTGTT
    CTATCATTTTTA
    1309 MYBPC1 3428620 ACTGGCCACCATTGTTTACCTGTTAGGGGACAGGCAAGATGG
    GGAAGCAAAGGAATTATTGCCATCAAAGAGAGAATAACAGCTT
    ACCTGGAAAGTTCCACTATTTCTAAGAATTACATAATGTTCATT
    TGCCCCATCATGGAAGAGATACCCCTGTAAGAATGGGAATCT
    GTTCCCCTCTACTGATGGCTGCTGGGGGCAGAAAGAATGATG
    TTGTATTTATCTAGGTTTATTAGACAAAGAAAAGCTACAGCGTT
    GGTGAGAACAACAAATCCAGGTAAGACTGCCTAAGAAGAGCC
    TGGCCCTGAAATAATCCTTTT
    1310 MYBPC1 3428621 TGGACCCTTGTCGAAACTCCTCCTGGGGAGGAACAAGCCAAG
    CAGAATGCCAACTCCCAGCTGTCCATCT
    1311 MYBPC1 3428622 AGCAAAACAAATGACGCTTGTTAAAGAGCAAGCTGAATCCCTT
    ATGCTTCTTCTAG
    1312 MYBPC1 3428623 ATCACCTTCATAGCCAAAGTCAAGGCTGAAGATCTTCTGAGAA
    AACCCACTATCAAATGGTTCAAAGGAAAATGGATGGACCTGGC
    CAGCAAAGCCGGGAAGCACCTTCAG
    1313 MYBPC1 3428624 CATTTGAGATGCAGATCATCAAGGCCAAAGATAACTTTGCAGG
    AAATTACAGATGCGAGGTCACCTATAAGGATAAGTTTGACAGC
    TG
    1314 MYBPC1 3428625 TCTACTGGGACTACTCCAAACATTGACATCAG
    1315 MYBPC1 3428626 AGGATGCAGGAGAACTTGACTTTAGTGGTCT
    1316 MYBPC1 3428627 AGTGAGACATTGTGGCCTGGAAGTCTTTCAGACACCCACTCA
    GAGAAGTCAAGTTTAAAGTGGATGTTCTTCAGAGAATTTTTCAT
    TTCTGAAAATGTGTTTTGCTTATAGAATATAACAGAGTTGACTA
    GAAAGAGAGAAACAACTGCATACTAATCTTTTAAAGCCTTTAAC
    AGTTGCTTTTAAACTTTCTTTTTAAATGTTTCATGACTCTTCACC
    TATTTTTTTTTAAATGGGGACGAAGAGATATGAAAACTGAGACA
    TAAGACAAATACCTAGAAACCTCTAAGACTGCACATATGATTTG
    GTAGAAGTCTGAAGGTATACACATTGTAAGAGGCAGACCTA
    1317 MYBPC1 3428628 ATAGATACACTTTTGTGGGAGGAAAAATAGTGGTAAAAACATG
    GACTGGAGTCTCAGCTCTACCATTTACTAATTATGTGACTTTGG
    TCAAATATTTGACCCCTCTGAGACTTGGATTTCACATCTGGAAA
    TGTGAAGAATAAACACTACTTAATAGAATTATTGTGCAAATTAA
    ATTAAGTGTAAAAAGCTTGGTTCACAGTAGGTGGCAAATAAAT
    ATGTACTTCCTCTAAGGAAATGTGTCATTTTCTCTAACATAGTT
    TATATTCATAAGGAGACAACA
    1318 MYBPC1 3428629 CTCTGTACAACGAAAGATCTTCCTGCTCTGAACAAAGCCAGCT
    TACTTCAAATAGACATTAGCTAAATCAGATTAAATCTTTTGGGC
    AGCATCCTGTTATAGGAATTGACCTGTATAAATACTTGTAAGTT
    GTACTCTACATAAAATTTCTATAACTGTTATACTCTTCACTAGG
    ATCACCAAGTTATTGAAATTTTGATGTAGATGAAAATACAGTGA
    GTATTATACAGGTCTATCCCGAGGCTTGGAAAAGAATCAGAAG
    TGCCTACAGAAATTTGGCTTTTTCTCCTCACTGTAACTTAACAT
    AGCCATGCAGACAGGGTCATGTGCAGCCACCATGGTA
    1319 MYBPC1 3428630 CAGTGAGTACGAGAAGATCGCCTTCCAGTATGGAATCACCGA
    CCTGCGCGGCATGCTCAAGCGACTCAAGCGCATGCGCAGA
    1320 MYBPC1 3428631 CTTGATCCTGCATATCAGGTTGACAAAGGAGGCAGAGTGAGG
    TTTGTTGTGGAGCTGGCAGATCCAAAGTTGGAGGTGAAATGGT
    ATAAAAATGGTCAAGAAATTCGACCCAGTACCAA
    1321 MYBPC1 3428632 TACATCTTTGAACACAAAGGATGCCAGAGAATCCTGTTTATCA
    ATAACTGTCAGATGACAGATGATTCAGAGTATTATGTGACAGC
    CGGTGATGAGAAATGTTCCACTGAGCTCTTCGTAAG
    1322 MYBPC1 3428633 TGGTCACCAGGAGCTGTTGGCTTCTTCTCCCAGGGATAATGAT
    CAAAGTGA
    1323 MYBPC1 3428634 AGCCTCCAATTATGGTGACCAAACAGCTGGAAGATACAACTGC
    TTATTGTGGGGAGAGAGTGGAATTAGAATGTGAGGTGTCTGAA
    GATGA
    1324 MYBPC1 3428635 TCCCTGGTCCAAAATCAAGATACCGAATTAGAGTTGAGGGTAA
    AAAACACATCTTGATCATAGAGGGAGCAACAAAGGCTGATGCT
    GCAGAATATTCAGTAATGACAACAGGAGGACAATCATCTGCTA
    AACTTAGTG
    1325 MYBPC1 3428636 TGACACCTCTGACTGATCAGACTGTAAATCTTGGA
    1326 MYBPC1 3428637 CCTGTTCAGGAGAGTGACCGTCTAAAGGTGGTTCACAAG
    1327 MYBPC1 3428638 TCCACAAGTTAGTGATAGCCAATGCCCTCACTGAAGATGAAGG
    TGATTATGTATTTGCACCTGATGCCTACAATGTTACTCTGC
    1328 MYBPC1 3428639 AGGAAACAAGCTTCGTCTTGAGATCCCCATCAGCGGAGAACC
    ACCTCCTAAAGCCATGTGGAGCCGGGGA
    1329 MYBPC1 3428640 GGCAGTGGCCGGATAAGAACAGAATCTTACCCTGATAGCAGC
    ACTCTGGTCATTGATATAGCTGAAAGAGATGACTCTGGTGTTT
    ACCACATCAATCTGAAAAACGAAGCTGGAGAGGCACATGCAA
    GCATCAAGGTTA
    1330 MYBPC1 3428641 CTGATCCTCCAGTGGCACCGACTGTGACAGAGGTGGGAGATG
    ACTGGTGTATCATGAACTGGGAGCCTCCTGCCTACGACGGAG
    GCTCTCCAATCCTAG
    1331 MYBPC1 3428642 AAGAAACAAAGCTCCAGGTGGATGAGGCTGAATTTTGATCTCT
    GCAAAGAAACAACTTTTGAGCCCAAGAAGATGATTGAAGGTGT
    GGCCTATGAGGTCCGCATCTTTGCAGTCAATGCCATTGGCATC
    TCCAAGCCCAGTATGCCCTCCAGG
    1332 MYBPC1 3428643 CCTCCTACTCTTCTGACTGTGGACTCTGTCACTGACACGACTG
    TCACGATGAGGTGGCGCCCCCCAGACCACATTGGTGCAGCAG
    GTTTAGATGGCTATGTGCTAGAGTATTGCTTTGA
    1333 MYBPC1 3428644 GTGCCTCAGGTCAGAAGCCACAGTCTGCACAGAGCAGGCTGT
    GCTCTCCTGAGGAACCCCCCTAACACCGTTTGGTCTCTTCCGT
    CACTGCTCTGAGGACAAATCTCTTTGCACACTTTGCATACTTTA
    CTAACAGAGAATGCTGACTGCTGATACGATATTATTC
    1334 MYBPC1 3428645 GTACATCAGCAAAACAGTCTGATGAA
    1335 MYBPC1 3428646 TCTGATTGACAAGACGAAGTTCACCATCACAGGTCTGCCAAC
    1336 MYBPC1 3428647 TGCGTGTGAAGGCTGTTAATGCAGCTGGTGCCAGCGAGCCCA
    AGTACTATTCTCAGCCCATTCTCGTGAAGGAAATCATAG
    1337 MYBPC1 3428648 ACCTCCAAAGATTCGCATTCCAAGACACCTGAAGCAAACCTAT
    ATCCGCAGAGTTGGAGAAGCTGTCAATCTGGTTATACCTTTCC
    AG
    1338 MYBPC1 3428649 AATAAAACCAGAAGTGGCAACAAGGCAG
    1339 MYBPC1 3428650 ATAAACATTCGCAACTCTGAGACTGATACAATCATATTTATTAG
    AAAAGCAGAGAGGAGCCACTCTGGGAAATATGATCTGCAAGT
    CAAAGTGGACAAATTCGTGGAGACCGCATC
    1340 MYBPC1 3428651 CCAAATTGTGAAGATTGAGGATGTCTGGGGAGAAAATGTCGCT
    CTCACATGGACTCCACCAAAGGATGATGGAAATGCTGCTATCA
    CAGGCTATACCATTCA
    1341 MYBPC1 3428652 CTTTCTCTGGTTCATCAGTAGCAAAAGG
    1342 MYBPC1 3428653 CCAACTGGGGCTATGGAGAAGTGATGTGGCAGAGCAGAAAGG
    AAAAGACCTGTGGAGCCACAGAGCTGGTCTTAAACCCCAGCA
    TTGCTACTTAAGACCACATGTATAAGGACCACACGTGACCACA
    ATCACT
    1343 MYBPC1 3428654 GGTTTACTGTCATTGAGCATTATCATCGAACCAGTGCCACCAT
    TACTGAATTGGTCATAGGGAATGAATATTACTTCCGGGTCTTTT
    CTGAAAACATGTGTGGCCTCAGTGAGGATGCCACCATGACTA
    AAGAGAGTGCAGTGATCGCCAGG
    1344 MYBPC1 3428655 TCAGAGGCACCCATGTTTACTCAGCCTTTGGTTAACACCTATG
    CCATAGCTGGTTACAATGCCACCCTAAACTGCAGTGTG
    1345 MYBPC1 3428656 GTACCATGTTCTTCTATCACATCAGTTAAAGTCCCTGTCTTGTA
    1346 MYBPC1 3428657 CACTACACTGTCTGCGATAGGTTAAAGTAAACAACAATTACAC
    TACACTGTAAGACAGAATATGAATGTGCTTTGATAAGGGTACA
    GTGTGCTAAGAAGGGAGCTATCATATCCAGTTGAAGAGATTAG
    AAAGGTTTCAAGGTTTCATGTTTGCATTTGAAAAGAACAACGAA
    TTAATGAATATCGCCCATAGAGATGTACATATCCCTGGGTGCA
    AGACAGAAAGTACCCTAGAATTGGGAAAATTTATGAACTTCTTT
    TTTTCCTGTATATACCTTGATCAGAAATAGGGAAGTCGTC
    1347 MYBPC1 3428658 CACTGGCTTTGATGGTCTATTAATATGCCAATTACAGATATGTT
    TTGACCTAAGTTTCTTCA
    1348 MYBPC1 3428659 GGATGATCCAAGATACAGGATGTTCAGCAACCAGGGAGTCTG
    TACCCTGGAAATTCGCAAGCCCAGCCCCTATGATGGAGGCAC
    TTACTGCTGCAAAGCAGTCAATGACCTT
    1349 MYBPC1 3428660 GCCTTACTATTGAGATAACCCTTACAAATTTAAACATTTTTAGC
    TGCTTTATTGGCTTTAAATGATTAAGTTCATAATTGCAAGTCAT
    CTGGTTTCTAAACTGCTAGCCTTATTAGTTCCAAAGTATTGTTG
    ATGCTTTTG
    1350 MYBPC1 3428661 TATATCAAGGAGTAAATACCCCTGGACAACCAGTCTTCCTGGA
    G
    1351 MYBPC1 3428662 TTATATCCCACTGGATATTCTACTTTCCGTTCCATTCCTCTTAC
    ATGAAAATGCACCTTGCATGTAAAGCTTGACTTTCTCATTTGCT
    TTTAATTGTACCCCTTAGCAGCTCATGGCATACAGTGCTTATG
    CCATGAACAAGGAAGGCCAAATTATTCAAGGATATTAAG
    1352 MYBPC1 3428663 TGTACACTAACACTTTGTCTATTGTCTATGTTTTTCTTTTGTTGA
    AAAACACGATATATATATGTTGTAGGGTTTTGGTTTTTGTATTT
    GTTTTAAGCTAATGGTTTGGAAGCTCTT
    1353 MYBPC1 3428664 GTCATAAGCCATACCAAGCCTGTGGAGTATGGCATGATTTTCA
    TTACATAATCCAATGAAAATAGACTTATTTTAAATCCCTAACTTT
    GTAGTTTTAATTTGTATTTCACTATCTTGAAATTAACAGCTAGTA
    CTTATCCATCACAGCAGTCTCCTACTGACATGAAGCAAGTTGT
    TGAATGCAGTAGAGCATGAATGAAAGCATTTAATGTAGACAAA
    AATGGGTGATACCCAAGCATTCTGAATTATTTGCATCAAGGAA
    TGGACATGTACATAAGTGGCATCATTTCTACCAATATGTGACTT
    GAGTTGTTTTTTTAAAAAAAGGAGAATGACTTTCTCAAATTTGC
    ATTAAAGAAGTTTTTAAGAATGTTCAAATGGCATGCTGCTTTGT
    CTGGACGTGAATTTATTAGCAAGTAGTAAAGCACTTCACTAAA
    GGACCATGAATTTTTGTGGTTTCATGGATTCTCTCTTGAAGGG
    TACTTTTATTTTTTTAATATAATTCAGAAACTCAGAAGGTAGGTA
    TGAAATATTGGTAGGTGTTTCTCGCACCTTCAGAAAGTATTGG
    ACCGGTCTTATTATTATAATTTTAACAAAATATTTCCAATTTTTG
    TGCTTTTGACATGCATAAATGACCAAAGTTAAAGGGAGTAGTT
    TTTATCTTTTCTAATGTGCTTGAATCGAAACTCTCTGTGCCTAA
    TTAAAAAGAACATTAACAAACTGGAAGCAGATCTTCCCACTGA
    TCCATAATGTGGTATGCATTTATTCTGCTGTTCAGTCAGAACAT
    TTAAATCATCTATGAGGAATCACAAAACCTCTCAAAGAGCAATA
    AATACTTTCCAACCACTTGGGAATTTAAATGAAGATTGAACAAT
    AGTAGGGGAAAAACTGCTGTGGTTCTACTGGGAAC
    1354 MYBPC1 3428665 AGACTCCTCTTGCAAGGCGTACCTCCAAACATAATTGATTCGT
    ATCTGCGAGACTTACACTCAAGCAATC
    1355 MYBPC1 3428666 TGGCTACTGTCTCTCTGCACTCTGCTGCTTTGAAATCTGGTTG
    AAATGAGAAAAAGCATTTTCTGTTTTCCCACCAGGCCCCCAAG
    TGTGGTCTTTTTCTTTCCTCCTAATGTTGAAGAGA
    1356 RP11- 3454981 GGCTGCGCTGCTCTTTGATTGGCTTCGTTAATATTTGGCAAAG
    923111.3 CATTGCCACTTACCCACTCAGCGAAGATGCACAAAAACGTCAT
    CACTGATTCTTTCAGTTCGATGCCTGTTAACTGCGGGTGTAAA
    CTGCTGGTGATGGTGTCATTTACTACCAAAGAAGTGTGGAGCA
    GGATGGGTGAGAGAGTGAGTGAGTGAGCAGGTGGAAGGACA
    GTGGGTGAAGGATAAAAAGGTGGGAAACATTTTTTTTTTAAAA
    AGTGAAACTTCAAATACAGCGGAGGTGGCTTCTTTCCTATGAG
    GCTGGCTGATGGGTGCCAGATACCAAGGCCCATGTGTTACTG
    AGGAGACAGCCTGCTGGGCTGGGGTCAGGAGCTAGCGGAGG
    GAAACGGTTAGATCTCAGAAAAATCTCATCACTATGCCCTAGT
    AGCTTAATGACATCACTAGCATGAGCACATGGTGTACTTGGCG
    GGATCTT
    1357 RP11- 3468066 TCACCGGCTGTCACATAATACTCTGAATCATCTGTCATCTGAC
    755011.2 AGTTATTGATAAACAGGATTCTCTGGCATCCTTTGTG
    1358 RP11- 3468067 ACCAGAAGACTCATTAGGATCCATAATAGCTGCCAGTGTAGAG
    755011.2 GAGCCTCAGTTACTTTCACTTTGATCATTATCCCTGGGAGAAG
    AAGCCAACAGCTCCTGGTGACCACAATAAGAGATTTC
    1359 RP11- 3468068 TGTGTGAAACAAGGATTATCCAGTAAAATCTGTTGGGTTTCAA
    755011.2 AGCTATAACTAGAATAATTATTTTTGCAAGATAGTGCTTGGCTT
    GAGTCAAAACATGAGGCATTTGTACTCAACAGGTTCTCTTTCT
    CCC
    1360 RP11- 3468069 GAGCCACCTGCTCGCACTCAAGATGAATCAGGTGCAACTGCT
    755011.2 AAGAGTGGATATTACCCCCATGTAGGCTCTTGAAGCACATTAG
    TAAGAATATCATTTAATGCATTTTAAAGATAACTATGATTCTCTA
    TTAGAATGAACAATCTACACTGTACCAATTACTACAAATCCTGC
    TGTGTAATTTACTGTACCTTTCAACATAACATTTCATTTTAAGAT
    TTAAAATTTCTAGTTTTTAATTTTAAGATTACTCACAAGGAACCT
    G
    1361 RP11- 3468070 TAAGCCACACCCATTTACATCTGAGGTCACAACTACTCATCAG
    755011.2 ATTTTGAATAATCCTCTTTCTACTGCTTCACAACAGTTCACAAG
    CCACAACA
    1362 RP11- 3468071 TCTGTTCTTATCCGGCCACTGCCTTCCATAATAGCCTAAGAAG
    755011.2 TGG
    1363 RP11- 3468072 CTTGACATGTCAGCTTGATTCTAGAAGTGCGTTTACCTGGAGG
    755011.2 ACTTACCCACAACTTTAACCTTGATGCTTGCATGTGCCTCTCCA
    GCTTCGTTTTTCAGATTGATGTGGTAAACACCAGAGTCATCTCT
    TTCAGCTATATCA
    1364 TNFRSF19 3481420 CACTGATCAGATTACAGGCATTTCATCTCCCTGCTCGTCTGCC
    TTTGATCTGCATGGTTAATTTTATTTTCCTGGATTTGAAGTTTC
    GTCTGGGCTTGTGCTGA
    1365 TNFRSF19 3481421 GTAAGTACTGCAAAGAGCTCAGCATGTTGCAG
    1366 TNFRSF19 3481422 ACACTCAAATGAGGGAAAGTGGGAACTATAGTGTTTGTTCCCT
    CAGCATCTGAGGGGGACTGCTTTCAGGACACCCTCTTGGATA
    CCAAAATCTGCAAATGCTCAAGTCCCTTACAAAAAATGGTATAA
    ATTTGCATATGCTCTG
    1367 TNFRSF19 3481423 CGTTGCCGGGCTACGGGAGAGCGCGGAGCCCTGCGCTGGGA
    GGTGCACGGTGTGCACGCTGGACTGGACCCCCATGCAACCC
    CGCGCCCTGCGCCTTAACCAGGACTGCTCCGCGCGCCC
    1368 TNFRSF19 3481424 GGGTTATCTTCTAGTCCACATGTCACATAATATGTACCTTTATT
    TACCTTTTAAACTGAAGTTTTAAAACCTGGGTTTTAAAAAGAGA
    ACAACTACCCATCAGCAATTACAGAAGACAAAGGAACTTGTGT
    GTCTGAAGACTGAGTGTTATTTAGCAGCTCTTTGGTCAGCTTG
    GATTGGTCACATATGTGGAAACTGGGAAATAATAGGGGCTACT
    TACACTGGAGAAGAACACTACAAATGGTGTAAAGAGTGGTTTT
    GGAATGTATCCAGACTTCCTTCTAAAATAAAAATTTAAACAGCT
    GTGTTTGAGAGATGGGTATGCACAATTCTTGTAAGAAAGACTG
    TGTAGATGTTTGAGGTCCCCTTAGTCCCTGATGCTACCATTGT
    TCC
    1369 TNFRSF19 3481425 TTGTCTGTATTAGAGCACTACCTTCAAGAAATGGGGTTCTGAC
    CTGGATTTGTGCTACCACAGTGACTTGCATT
    1370 TNFRSF19 3481426 AACTCTCCAACAATAAATACATTTGATAAGAAAG
    1371 TNFRSF19 3481427 TAAAAGTGCTACTAGAACAAGAGAA
    1372 TNFRSF19 3481428 GTGGAGAAGGTTTGTACAGAATTATATGCATCAAAAACAATGT
    CC
    1373 TNFRSF19 3481429 AGACTGTAGACAGCAAGAATTCAGGGATCGGTCTGGAAACTG
    TGTTCC
    1374 TNFRSF19 3481430 TAGCTCAGCAGATCCAACTCCCATGG
    1375 TNFRSF19 3481431 CCCAGCCTCCCGATTGGGAGACACCTCCCAGCAGGGGTCGC
    CAGACACCTCATACAGGAGAGCTCTGGCTGGCATCTGGTGGG
    TGCCCCTTTGGGACGAAGCTTCCAGAGGAAGGAACAGGCAGC
    AGTCTTTGCTGTTCTGCAGCCTCTGCCAATGATACCCAGGCAA
    ACAGGGTCTGGAGTGGACCTCCAACAAACTCCAGCAGACCTG
    AAGCAAAGGGCCTGACTGTTTGTAGGAA
    1376 TNFRSF19 3481432 GTCTTCTCAAGGATTCGGGGAAGTACTGCGTACTTCCTTCAAG
    CTTTTAAG
    1377 TNFRSF19 3481433 ATGTGGCTTCGGCTATGGGGAGGATGCACAGTGTGTGACGTG
    CCGGCTGCACA
    1378 TNFRSF19 3481434 GCAAGCCCTGTCTGGACTGCGCAGTGGTGAACCGCTTTCAGA
    AGGCAAATTGTTCAGCCACCAGTGATGCCATCTGCGGGGACT
    GCTTGCCAG
    1379 TNFRSF19 3481435 TTATAGGAAGACGAAACTTGTCGGCTTTCAAGACATGGAGTGT
    GTGCCTTGTG
    1380 TNFRSF19 3481436 ACGCAACACAGGCAGAGCCAAGGGGACGCCTGGCCTTTTGA
    1381 TNFRSF19 3481437 GTACCTGCCTGCTAAGGAACAGACCCACCTGCCTGCTGTGGT
    TGTATTGCCAGAAGTGTTGGATTCACATCTTGGCTGCGCTTTG
    TACTGATGGTGTAACCTTGGGCAAATAGTCTCCCCTCTTTGAA
    CCTCTGTTTACTCTGGAAAATGCCCAAGTCTGCAGATTTTGGA
    TAGAACTAAATGAACTAGTAGTCCAGCAACATGATA
    1382 TNFRSF19 3481438 TCGGCCATACCCTGACCCAGATGTGTTCTTTGGAGGGTCTGCT
    GCTTTGGAGTTGTCCTGGACGGGGAGGATCTCATGGTGCATC
    TGGCTCTGATGTTTGTCTTCTGGGGCTTCACCTCCCCTGGTGG
    GTGAGCACTGAAGGGTACCGGAAAGTGGGTTCCATGGAGTTT
    TGTGCCTGA
    1383 TNFRSF19 3481439 GCAGCTCAGATGGGGGCCAGGTGCTGTGGCTCACGCCTGTAA
    TCTTACTACTTTGGGAGGCTGAGGTGGGAGGATCACTTGAGC
    CCAGGAGTTCAAGACCAGCCTGGGCAACATAGTGAGACACCA
    TATTCACAAAAAATAA
    1384 TNFRSF19 3481440 CCTCTGCATGATGAGCCCACAAAGCCAGTGCCTAAAGGACTA
    ATTAAGGGCTCCATTTACTGA
    1385 TNFRSF19 3481441 TGGTATTTATGGTAATTAACATACAAAACAGCTGTACTTACAAT
    CCGGCAAGTGCCAAAGAGG
    1386 TNFRSF19 3481442 GTCAGGCCCCCTGGAAGATTTGGCCAGCAGGGCAGTGGTCTG
    CGTGCCC
    1387 TNFRSF19 3481443 CCGGCCCTGGAGGGAGCGGGCGACA
    1388 TNFRSF19 3481444 TCCCTAAGTGAAGCTGACCCACACATAACCCACACCC
    1389 TNFRSF19 3481445 GTGGCTTCTTGCTGGACCTAGCTTAACGACGAGCCTG
    1390 TNFRSF19 3481446 TCCAACTCCTACCTTGGGAGAGAATGACAGTGAACCAAACAAG
    TAAAGTAT
    1391 TNFRSF19 3481447 GGAGAGCACAGCCAGGCCACAGTGGCC
    1392 TNFRSF19 3481448 CAGCAGATCTATTGGAGTGTGCCTGGCAGCTGGTTCTGCAGG
    AGCTCACCTGCCCTAATAGAATGTTCAGGCCCTTCTG
    1393 TNFRSF19 3481449 ATGCAGTCACCTCCACAGAATGCCCCCCGCCCCTGCCCCAGG
    ACACCCAGACGTTGCTCAGCATGCTTACTGCCCCCACGTCTG
    ATCACAGTGGCCCGTCATGCAGACACCAAGACCAATGGGAAG
    GCGGAGGACCCCGAACATCTCTGTG
    1394 TNFRSF19 3481450 GGTGCCTGCCAGCTTCGCCATAAACACTGCATCTGCAGTTGTT
    CAGAGCATGCTGACCCCATTCC
    1395 TNFRSF19 3481451 GTGCCAGCAAGGTCAACCTCGTGAAGATCGCGTCCACGGCCT
    CCAGCCCACGGGACACGGCGCTGGCTGCCGTTATCTGCAGC
    GCTCTGGCCA
    1396 TNFRSF19 3481452 GTAAGAGACAGTTTATGGAGAAGAAACCCAGCT
    1397 TNFRSF19 3481453 GTAAGTTTTGAGCTCATTACATTTCTTAGCATTTAGGGGAAGG
    GCATTTATTACTATTGTCGTGCAAGTGTTCCACAAGAGACTTG
    GCTGAGACAAGCACCAGTGAGTTGTGAAAGAACGCA
    1398 TNFRSF19 3481454 AGCTTTGTAAGGAGACTTACAAGGCTGTGATGTCCCTGCGCCA
    CTAGGCAAAAATAAA
    1399 TNFRSF19 3481455 GGTCTCTGCGGTCACAGGACATTCAGTACAACGGCTCTGAGC
    TGTCGTGTTTTGACAGACCTCAGCTCCACGAATATGCCCACAG
    A
    1400 TNFRSF19 3481456 TGCGCTTGCTCCCATCCATGTGCTGTGAGGAGGCCTGCAGCC
    CCAACCCGGCGACTCTTGGTTGTGGGGTGCATTCTGCAGCCA
    GTCTTCAGGCAA
    1401 TNFRSF19 3481457 GGAGATGGTGCCGACTTTCTTCGGATCCCTCACGCAGTCCAT
    CTGTGGCGAGTTTTCAGA
    1402 TNFRSF19 3481458 AGCTCAACGTCTTTGGATTCAAATAGCAGTCAAGATTTGGTTG
    GTGGGGCTGTTCCAGTCCAGTCTCATTCTGAAAACTTTACAGC
    AGCTACTGATTTATCTAGATATAACAACACACTGGTAGAATCAG
    CATCAACTCAGGATGCACTAACTATGAGAAGCCAGCTAGATCA
    GGAGAGTGGTGCTGTCATCCACCCAGCCA
    1403 TNFRSF19 3481459 GTAAGGCAGCGACTGGGTTCCCTGTGA
    1404 TNFRSF19 3481460 TGACTTACAGTAGATCAGAACTCTGTTCCCAGCATAAGATTTG
    GGGGAACCTGATGAGTTTTTTTTTTGCATCTTTAATAATTTCTT
    GTATGTTGTAGAGTATGTTTTAAAATAAATTTCAAGTATTTTTTT
    AAAAAACTAACACAGCTAATATATAAGAGCAAAGTGGACAGCT
    GCATTCTTTTATTCCTCTTTGTAAGTACAACCACTTAGCACAGC
    1405 TNFRSF19 3481461 ATGTCATTCTGTATCCTGGCCTGATTATATCAGAGAC
    1406 TNFRSF19 3481462 GAACTTTTAGGGGATTCTATAGACAAAACATTTTTTAGCTTTGG
    AGGGAAAAAATTGGTTTCATTCTCAAAACGGGGGAATGGAGAA
    GTAAGAGAAGGGAGACGAGTGAATGAAGGAAAAACAAATTAG
    GCAGTTAACACATACAAAGTATCTACCTCTGAGCTCTGCCTGG
    AGTTAGGAAAGGCTGTTCACTGATCTTGTTCTTTTGAGCCATC
    CA
    1407 TNFRSF19 3481463 GCCTCTCTTGTTAGGAGATCATCTGAAGAACTAGGGTTACGGT
    GCTGCCAGCTGACTAATGACTGTTTTTCAGTTTTGTCAGGAAA
    CAGAATTACCACTCACCTTAATTTTGTAGCTTGTACCCAAGTTT
    GTGATGTCAATTGCCAAGACTAAGGAATGAAACGTCTTCATAC
    GAGGTCATCCCGGAGCCAACTCATTGCCTGCTTT
    1408 TNFRSF19 3481464 TTGTCGTGCTCCTTCCAATTGTGTAAGATTAGTTAGCACATCAT
    CTCCTACTTTAGCCATCCGGTGTTGGATTTAAGAGGACGGTGC
    TTCTTTCTATTAAAGTGCTCCATCCCCTACCATCTACACATTAG
    CATTGTCTCTAGAGCTAAGACAGAAATTAACCCCGTTCAGTCA
    CAAAGCAGGGAATGGTTCATTTACTCTTAATCTTTATGCCCTG
    GAGAAGACCTACTTGAACAGGGCATATTTTTTAGACTTCTGAA
    CATCAGTATGTTCGAGGGTACTATGATATTTTGGTTTGGAATTG
    CCCTGCCCAAGTCACTGTCTTTTAACTTTTAAACTGAATATTAA
    AATGTATCTGTCTTTCCTAGTATGTTTTTATCTTCTCATGTATTA
    TCCATGGTTTTCTCTGTTTGTGACAGATTAGTAAAATTTAATGA
    GCCCTCTTTCTTGTGGCCGTTTCTCCATAGTTTTAGGTTTTGAT
    ATGTGTTTACTAGCTTGCCTGTGTCTGGTACATCTCATGACCT
    CAATTCCCTCACCTGAAATAGGAAATGAGAATGTTTCATTGTA
    GCCCCAAGCGGTCATGTCAACCTAGTGCCTAGTCATAATTAAT
    TGACTTTTCCTGTATTACTTCTTTTTTTAAGTATAAACCAATGAT
    CCTTTGGTAGTCAAGAACTCTTAGGAACATTGCCTTTTGGACA
    TGTAAAATATTTAGGATTTGACCACACAATGGCTATGAAAATGC
    AAGTAGTTTCCTCGCGTGACCTCACCATGATTCACATACGTGC
    CACTGTTTGAAATCTGGTCTGTTTGCATTTCTGTTATGACAGAG
    AGATGATGTTTGCATTTCTGTTATGACAGAGAGATGATGAAAG
    TAGGCAGGGCTGTGTTCCTTTGTGTAGCCTGTATATATTTTCC
    ATATGTAGAGCCCTGATTAACTTCAAGGACAAACACTGGCTGG
    AGAAAGCCAGACTGATGGGAATGAGACTTTGGCCAAAAATCC
    CAAAACATCATTTTCAATCAGTAGAGAAGTGCTTAGGGTTGAA
    AATTGATTTCATTTGCTACTGAATTTGGTAAATCCTGGGTAACT
    TTTATCAAGATGAAGACATTTTACCCTACCTACTCTAGAAATAT
    ACAACAATGTTATATTTTACACTCCTTGGAAACATTTGAGGAAA
    AAAATGCAATTTGCACTTCACTTTGTTGGAATATCCCATAGCAC
    TCAATAAACTCAGCTGCTAGAGTGCCGATGTCA
    1409 LPGAT1 3512095 GACCTTTCTTTGTGTTATCTGCATGTTGTAACGTGTGATAAGAA
    TGAATGTAAAGGCTGTGGCAACTGTAATTAATTTTTGTAAAGG
    GCTGGTCACACGTGGATCTGGTTTATGAATG
    1410 DEGS1 3579471 GACTTCGAGTGGGTCTACACCGACCAGCCGCA
    1411 NUSAP1 3590391 CAGGGATTTGAACCGCGCTGACGAAGTTTGGTGATCCATCTTC
    CGAGTATCGCCGGGATTTCGAATCGCG
    1412 NUSAP1 3590392 CTGGACTCCCTCAAGTACAGTGACCTGCAGAACTTAGCCAAG
    AGTCTGGGTCTC
    1413 NUSAP1 3590393 TTAAAAGCCTTGAAAGGCTACATTAAACATGAGGCAAGAAAAG
    1414 NUSAP1 3590394 TCTTGTGATGAGACTGAGATACAGATCAGCAACCAGGAAGAA
    GCTGAGAGACAGCCACTTGGCCATGTCACCAAAACAAGGAGA
    AGGTGCAAGACTGTCCGTGTGGACCCTGACTCACAG
    1415 NUSAP1 3590395 AACTGAAAATAAACCACCTATGCCAAAATTGGCATACTTTTATG
    GAGATTTCTTTT
    1416 NUSAP1 3590396 AAATAAGTAATCCCACTGAATTCCAG
    1417 NUSAP1 3590397 TCAGAGCTACTGCAAAAGTTCCTTCTCCACCAGACGAGCACCA
    AGAAGCT
    1418 NUSAP1 3590398 ACAGAGATTCAAAGGTACCTTCAGAA
    1419 NUSAP1 3590399 CCATTGATCAATATATTGAGAGAAA
    1420 NUSAP1 3590400 CAGCCCATCAATAAGGGAGGGGTCAG
    1421 NUSAP1 3590401 TGTGGCTTCTACTCCCATCAGCCAACGACGCTCGCAAGGCCG
    GTCTTGTGGCCCTGCAAGTCAGAGTACCTTGGGTCTG
    1422 NUSAP1 3590402 CTAAAGATAATGAGCATAAGCGTTCACTGACCAAGACTCCAGC
    CAGAAAGTCTGCACATGTGACCGTGTCTG
    1423 NUSAP1 3590403 TGCTTGGGACACACAAATTAAAGACCATCACGGGGAATTCTGC
    1424 NUSAP1 3590404 CCCATTCAAGTTGACAACTGAGGCAACGCAGACTCCAGTCTC
    CAATAAGAAACCAGTGTTTGATCTTAAAGCAAGTTTGTCTCGTC
    CC
    1425 NUSAP1 3590405 ACCATGGGGGCAATCTAAAGAAAATAATTATCTAAATCAACAT
    GTCAACAGAATTA
    1426 NUSAP1 3590406 AGCAACGGAAGAAACGCGAGCAAGAACGAAAGGAGAAGAAAG
    CAAAGGTTTTGGGAATGCGAAGGGGCCTCATTTTGGCTGAAG
    AT
    1427 NUSAP1 3590407 CCCACTTTAGTCACGAGATCTTTTTCTGCTAACTGTTCATAGTC
    TGTGTAGTGTCCATGGGTTCTTCATGTGCTATGATCTCTGAAA
    AGACGTTATCACCTTAAAGCTCAAATTCTTTGGGATGGTTTTTA
    CTTAAGTCCATTAACAATTCAGGTTTCTAACGAGACCCATCCTA
    AAATTCTGTTTCTAGATTTTTAATGTCAAGTTCCCAAGTTCCCC
    CTGCTGGTTCTAATATTAACAGAACTGCAGTCTTCTGCTAGCC
    AATAGCATTTACCTGATGGCAGCTAGTTATGCAAGCTTCAGGA
    GAATTTGAACAATAACAAGAATAGGGTAAGCTGGGATAGAAAG
    GCCACCTCTTCACTCTCTATAGAATATAGTAACCTTTATGAAAC
    GGGGCCATATAGTTTGGTTATGACATCAATATTTTACCTAGGT
    GAAATTGTTTAGGCTTATGTACCTTCGTTCAAATA
    1428 NUSAP1 3590408 TACATAGCCCTATCGAAATGCGAGGATTAATGCTTTAATGCTTT
    TAGAGACAGGGTCTCACTGTGTTGCCCAGGCTGGTCTCAAAC
    TCCACCAAATGTACTTCTTATTCATTTTATGGAAAAGACTAGGC
    TTTGCTTAGTATCATGTCCATGTTTCCTTCACCTCAGTGGAGCT
    TCTGAGTTTTA
    1429 NUSAP1 3590410 ATGGCCGCTTCAGACCCACAGCAAAGATTTTTGATAAGGCATG
    ACTCCTAAACGGATGAATGAGTGCCCCATTAGAGCCAAGATTC
    TTTTAT
    1430 NUSAP1 3590411 CTTGAATCCGTGAGGCAGATGTAGTGAGCAGAG
    1431 NUSAP1 3590413 TAGCCAAAGTCTAAGCAGAAGCCCCTGCGACCATTCCAACACT
    GACAGAACATTCCTCTGCCTTGTTTTACGGATACATTGGGGAA
    ACTTAAGGATGAGAACTTTAGAAATGGTATTTCTTGGAAACCC
    ACTTGCTTGTAAATCAGTGGT
    1432 NUSAP1 3590415 TGGTATCTGGTGTTAAGGCAGTGCCGAATGGAGGGCAGGAAA
    CACATTTTTAAATATTTATGGATTTATGTATTTTTCTCATAAAGA
    CAGGGTCTCCCTATGATTCCCAGGCTCTCCTTGAACGCCTAG
    GCTCAAGTGATCCTCCCACCTCAGCCTCCCAAAGTGCTGGGA
    TTACAGGTGTGAGCCACCAGATTATATTTATTTCTATTCGCTGT
    ATTTAATTCTTAACCCCATGTTTATTTTACATAACTTCCCTATTT
    CTCAAAAAGAATTTAAGGCCTATTCTCAAAATAATG
    1433 NUSAP1 3590417 TTATGAACCATTAAGACAAATTAGACCAGGCATG
    1434 NUSAP1 3590419 CCCAGGGCACCTACATATCCAGATAGACATAAATTCCTCACTC
    CTAAGAAAACCAGGCTTACAAGGCGTCAAGGCCCTATAAAGA
    GGAAAAACCCAGGACGGTCCTTAGAGGCTTCCTTCAGCATGA
    AAACCAAGTTAAAGCCAGAGCTCATCCTGGGTTGCAGCAAGT
    CATGGTTGGGCCCA
    1435 FBXL8 3665216 GCTGCTTCCCGTCCGCTGTCCTCTGC
    1436 FBXL8 3665217 GGGCAAAGCCCATCTGGTCCGCCGAGCAG
    1437 FBXL8 3665218 ACAGCTGCCAGACTTCGGTAAATCAAGGGGGCGCCCCCTGGA
    GACCAGAATTTTCTGGTACCCCTGGGGATCCGGCTTCAAGATC
    GCTGCTACCAGTGGGCACTCAAAACGGGGTGCCCATGGGTCC
    CAGGTACAAGCCCGGCCGAACGTATCTGAAGCCCCAGGAAAC
    ACGTGGCACAAATTCCGGGAGAAACTGTTAGCCCGGAAGATA
    1438 FBXL8 3665219 AGCATTTGTACACCTAAGCTCGGTCTTCCTGCAACACTTTGCG
    CCTTCCCGACCTCAGAGACGTCCGTCTC
    1439 FBXL8 3665220 AGCTATTGGGAGTGGCGGATCCTCCCACCCC
    1440 FBXL8 3665221 TGGCACTCATCTTCCGCCACCTGTCCCTGAGAGACCGTGCTG
    CCGCCGCCAGGGTCTGCAGGGCCTGGGCCGCCGCTGCTACC
    TGCAGCGCCGTGTGG
    1441 FBXL8 3665222 ACTTCCCACGGGTCACTCAGCTAGGGAATGGCAGAGGCAGAA
    TTCGAACCTAGCAGTCCGGAGGCCATGCCAAGACTCCTTAGA
    GACAGCTGAGAAAGCCCAGTTCCTAAAATATCATTGGCTCTCC
    ATGTCCAGGTTTCATCCTGTGGCAGACGCCACTGAAATCTTCT
    AAAAGGATAGGATGCGAGTTCCCTCCTTTGGGGCAACA
    1442 FBXL8 3665223 AGGCCTTTTCTGCACGGCTCTAACC
    1443 FBXL8 3665224 AGTGCCGCGGAGAAAAACCGCTCTTCGACGCGGGCCGCGAC
    GTCCTGGAGGCTGTGCACGCTGTATGCGGGGCGGCCAGCCA
    GCTACGCCACCTCGACCTGCGGCGCTTGTCCTTCACACTGGA
    CGACGCGCTGGTGCTGCAGGCGGCGCGCAGCTGTCCCGAGC
    TCCACAGCCTTTTTCTGGACAACAGTACCCTAGTGGGCAGCGT
    GGGTCCCGGCTCAGTGCTCGAGCTACTGGAGGCCTGCCCGC
    GCCTGCGCGCTCTCGGCCTGCACCTAGCCAGTTTGTCGCACG
    CCATCCTCGAAGCA
    1444 FBXL8 3665225 GCGCCCCGAGTGCTAGTGCCTTCTTTTGGGATTGTTGCCCCC
    CGGGTCTTTACCGAGTTGGGAACTGTGATGGCATCGGGACCA
    GTCCTGGGCGCCCTGAGACCACTCGCTGCTCT
    1445 FBXL8 3665226 ACACTGCCCCCCTCTCTTGCCTCCA
    1446 FBXL8 3665227 GTGAGTGTGAAATAAACAAATCCTGCAGTG
    1447 ARL6IPIP2 3683039 TGACTTCCTTACTATTGCTTCCTGGACTAA
    1448 XPO6 3686340 ATGGGCCTTGGTCACACTCCTTGGCTTCTCCCACCGCAAGCA
    ACGCTGCCTGCCTCTGCCGCTCCTCCACATCTTGCCGCTGCC
    CAGCAGAGCTGGCTTCTGGGTCCACCTGAGCACTGGACGGTG
    CTCCCAGGGCGTTGGAGCAGGCGGAGGGGTGTGTGGCCAGG
    TACTAGGAGGCACCAGGAAATCCCGCGGGGTGGCCCATGCA
    GACCAGGCGCACGTGGCTCATGGGGCAGAATTGCCAAGGAC
    AGCTCACGACAGTGCCACCTT
    1449 XPO6 3686341 AATGTGCACAGGCTGGTCAACGACCTGCGCTACTACAGACTC
    TGCAACGACAGCCTGC
    1450 XPO6 3686342 TTAGTCTCAGCCATGGAGGTCCCGAGTTCCTGGCTCTGCAGC
    CCCTCCATTTGTCTTGGCATCTTTGTTCATACCCAGGACCCTG
    CCGTTCTCCCTCCTGGGTGATGAGCCCCGGTGGGGCCAGCAT
    TGGAGTGTGCCCAGGCTTGCATTCAGGCTGAGATGGTTGGTG
    CTTGGGAGCTGCACTTCTGGGTCCCCAGGGTTAGAGGTGGGA
    CCCAGGTTCCCCGGCTGTCTTGGGCTCTTTCCAGACCAGCCC
    CAGCTCAGCTTGGGCTGAGTTGCTGCCAGGTCCTGGGAGGAG
    CCCTCCTAGTACTCACCCTCTTGTCCCACTGCTGCCACCTGTG
    CAGGGACTGTCAGGTGGGCTGTCCCCACCCGTGCAGCACCTC
    GGTGGGAGCTGGGTGCTGCTGGCTCTTGGTGTCCATGAGGC
    CATCTTGTTGGAGCCTGACAGTGCCTGGGACCTCCTTCCCCAT
    GGGGCTCACCTGTTCTCTTCTTCCTGTGTCAGGTGACCAGGC
    CTCTCTCTTGCCTGATAGGAACTTCTGGGAACTTTTCCTTGTAC
    CGTTTTATACTTGATGAAATTAGGAAAAGAAATCGCTTTCTCCC
    TGGTCCTCTTGGGGTTCTTGACCTGAGTCCTCTGTGAAGCAGC
    TTGTCCACGGCTCCACCGTAGTGCTCAGATGCACACACTGCT
    CTCACTGGTGCAAACCTGGCCGCCTGCTTTCCTCATTTGCCAC
    GTGTGGCAGGGAAGCTTTTGCTTAGACTCATCCTGTTCTCCTT
    TGTCTTGGGGTCTTCCTTTTCTTGGGACTTGTTCTCTCCTAAGC
    CTCTTCCAGTTCACTTCAGCCCCTGGATATGTTTTTTCCTTTTT
    CTAGAGGCCAGATCCTAATACTTAATGATCAGCTTCTAACGAC
    ATCAATATCAGTCAACTTTTTGATTTAAAGCTGTGGTTTCAAAA
    TCTAGTTATAGGCCAGGCGCGGTGTCTCACACCTGTAATCTCA
    GCACTTTGGGAGGCCAAGGCGGGCGGATCACTTGAGGTTAG
    GGGGTTTGAGACCAGCCTGGCCAACATGGCGAAACCCTGTCT
    CTACTAAAAATAAAAAAAATTAGTCAGGTGTGGTGGCACACGC
    CTGTAATCCCAGCTGCTTGGGAGGCTGAGGCACAAGAATCTC
    TTGAACCCGGGAGGCAGAGGTTGCAGTGAGCGGAGGTTGTG
    CCACTGCACTCCAGCCTGGGCGGCAGAGTGGGACTTTGTCTC
    AAAAAAAAAAATCTAGTTATATCAGAAGCACCTGGGGTACTTAT
    TAAAAATGGAGAAACAGACTTCTGTGTTCTACCCAGGAAATTC
    TGGTTTGGCATTTGGGAGCCACTGATTTAAAAGACATCCCTTA
    GTTGGTTTTTTGAGGGTAAAATAAAAGAATCACCACCTTCCATT
    CAGTCACGCACTGTGTGTTTGAAGCCAGCTGCTTCTCAAGCCC
    CGGGCCAGGAACTGGGGCACCAGTCCCAGCCTTCACCAAGT
    CTTTCATGGTAGACAGGCCAATACAGCACCCTCTGTGGACCA
    CATAGTGCCAAGCATGTGACATGTCTTGGCTCGAGTAAGCCTT
    CTAACAAGCCTCTGAAGTGTGGGTCCTGTTACTCCCCCATTTC
    ACAGATGGTGGGGGCTCAGAAGGTGAGCAGTTCACAGAACTT
    GGAAGTGGTAGAGCTGCGAAGCAGGAGGCAGACCTGGGTGT
    TCTGGCCCCAGAGCCTGCACACACTCCCCAGAAGCAGATTGC
    TCAGGACAGAGGCGCTGAGCTGGCTGCTGGGGCCAGGAAAT
    AGGAGGCATCTGTGCAGACTTTGGGAAGAGGCAGGCTTTGAA
    TGGAGTTCTGGAAGAGGAATAGTGGTTGGGCAGGAAAATGAA
    CTTGGTCCTGCTCATGGCTCTGCTGGGGCTTGCTGGGCCTGT
    TTGAGTCCTCACCGGGACCTACACTGAAAAAAAAAGCAGGGT
    CTCACCGTGTGCATGATGGCGGAGGTCAGGGCCTCACTTCTG
    GCCCAGGGCCTTCCATGGCCCACGCTGCGCCCAGTGGGACA
    GGCCTTGGGACTGTGTTTGCTGCTGCTCGGGTGGCTCTCGAG
    GGGCAGGGGCGGCCTGGAGCCCCGTGGGTAAAGGTTCTGCA
    GACATTGCTCGGTGTGCGCGTCACCTCAAGGGGCCATGGTGA
    AGAAGAGGGCTGTCACCACAGCCATGTCTGCGTTTGAGGGGC
    CGGACTCAGGAGCAAGTGTGCTGGTCTCTTCAGTGTGAGCTG
    GGGCCAGCTTCTTCATGGTGCAGCGCTTTGGTCTTTCTGTCCT
    TAGACTAGTGGTTCTGGTAGGGCTTGGTGGCAGCCTTGTGGT
    GAGGACTCAGTGAGTTGATGTCTGTATGTTGATTGCAGCAGTG
    TCTGGCACCCGAGAGGCCCTAGGGACGTATTCCTCTTG
    1451 XPO6 3686343 AGGTCCTGGTCCACAAGTCCCATGATCTTCTGCAGGAGGAGA
    TTGGCATCGCCATCTACAACATGGCCTCAGTCGACTTTGATGG
    CTTCTTTGCCGCCTTCCTCCCAGAGTTCCTGACCAGCTGTGAT
    GGTGTGGATGCCAACCAGAAAAGTGTGCTGGGG
    1452 XPO6 3686344 GTCCTTTCTCCAGCCCGACATCCACCTTTTTAAACAAAATCTCT
    TCTACTTGGAGACTCTCAACACCAAGCAGA
    1453 XPO6 3686345 ACAGGACTGAGCTTCTGTGCCTGGACTGAACTAGTAACTTTTA
    CACCCAGGAATTCCAAAGCAGTTTAAAAATACTTTGCTTAGCC
    CCCAGGCAGAGGCTTAACCTCCAGG
    1454 XPO6 3686346 GCCGAGCTGTTTGAGCTCCTTTTCCGGACGCTCCATCACAACT
    GGAGGTACTTCTTCAAGTCCACCGTGCTGGCCAGTG
    1455 XPO6 3686347 GAGCAGTTAGCCGAGAGCATCCTCCACGAGGGCAGCACAGG
    CTGCCGGGTGGTGGAGAAGTTTCTGAAGATCCTGCAGGTGGT
    GGTCCAGGAGCCAGGCCAGGTGTTCAAGCCCTTCCTCCCCAG
    CATCATCGCCCTGTGCATGGAGCA
    1456 XPO6 3686348 ACTGATGAGATGCTGAGCTTCTTCCTCACTCTGTTTCGAGGCC
    TTAGAGTACAGATGGGTGTGCCTTTCACTGAGCAAATCATACA
    GACTTTC
    1457 XPO6 3686349 ACCAGACACTCAGCGTCTTAGAAGATATTGTGGAGAATATCTC
    GGGGGAGTCCACCAAGTCTCGACAGATTTGCTACCAGTCGCT
    GCAGGAATC
    1458 XPO6 3686350 CATTTTTGAAGCGTCCAGGCCTGTTTTCTTGTCATATGTCTCCT
    AGTCTTGTTTTGCCTGATTGTTTCCATAGGTTGTGGTGTAGTG
    GTGCATGTTCGTGTTCGCATTTCCTCTTGCATTGCTTCTGTTTG
    TCCCATCCTTGGTGATGCTCAGTCTGGATGCCTGTTGGGAGTA
    GGGCCTGCCAGTCTGTCCATTGGGAAGGTGCTTGGCAGGTGT
    AATTGCTCAGGACTGTAGAGAAAGTGGGCGAGGTCAAGAGTT
    GGACTTGGGTCTGAATGGCTCCAGCTC
    1459 XPO6 3686351 AGCAGTGGCCCGTGCGCTCCATCAACCACGCCAGCCTCATCT
    CTGCACTCTCCCGGGACTATCGCAACCTGAAGC
    1460 XPO6 3686352 CCAGGTGTTGGTGTGCCGAGCCCTCTCTAACATCTTGCTGCTT
    CCGTGGCCAAACCTTC
    1461 XPO6 3686353 AGCTGCTGCTATCTGCGTGCCACTTACTGGTCTCACTGGCCAC
    CACCGTGCGGCCCGTCTTTCTGATCAGCATCCCTGCAGTGCA
    GAAAGTATTCAACAGAATCACTGATGCCTCTGCCCTGCGACTT
    GTCGATAA
    1462 XPO6 3686354 GGGCAAAATGCTATGAAACGGCACCGCATGCTCCAGAGAAAT
    ATTTCATGAAAGGAAGTCAATCGATGCAGCAAACTTCATTGTT
    GTCTTATTTTAAGTAATTGCCACAGCCACCCCAACTTTGAGCAA
    CCACCACCCTGTTCAGTCAGCAGCAGTCACTTTCAAGGAAGA
    CCCTTCACCAGCAAAAAGATTACCGCTCTGAAGGCTCAGATGA
    TTGTTAGCATTTTTAGCAATAAACTACTTTTTAACTAAGATATGT
    ACATTGTTTTCTTAGACATAATGCTTATTGCACACTTTATAGACT
    ATAGTGTAAACAAAACATATGCATTGGGAAACAAAAAAATTAGT
    GTGCCTTGCGTTATTGCATAATTTGCTTTATTGTGGTGGTCTG
    GAGCTGAACCTGCAGTATCTCTGAGGTATGCCTGTATATCCTT
    CCAGACTTTTTTCTCTTTTTATGTAATAAGTAATAACTAAGTTTG
    TAGATAGCTGGAGATA
    1463 XPO6 3686355 GTTGTAGCCTACATGCATTCAGATACAACTTTACTTTTTTAGTT
    ATCTGAGTTCCACATGAATACATGCTCACTG
    1464 XPO6 3686356 GGCTTACTCTCACTGGTTAGCACAGTATTGCAGTGAAGTTCAC
    CGGCAGAACACGCAGCAGTTCGTGACACTCATCTCTACTACC
    ATGGATGCAATCACAC
    1465 XPO6 3686357 GAGGACCTTTTGCAGATCCAGATCTTAATTTTTTTAAAAGCATG
    TCCTACAATCTGGATTTGTCTAATTATTTCCATTATATTAGATTC
    AGTTTAAACATTTTTAGCAAGGTTACTACATAGGCAATGATGTG
    CCTTTCCTCTTGCATCATGTCAGAAGGCTCTTAATATCAA
    1466 XPO6 3686358 TTTCAGCCTTGAGGAGCTCTACAGATGTGCTAGATTGACTGAA
    ATTCTTACTCCTAAGGCTGACTTTGATGTCCTTTCTCTT
    1467 XPO6 3686359 TCAAAGTCACTCTGTACGGATCTCAGATAAAATTGTACAACATT
    GAAACTGCTGTGCCATCAGTATTGAAACC
    1468 XPO6 3686360 GATATATCTTATCTGTTCAGTTGGCGGGGCGCA
    1469 XPO6 3686361 AACATCACGGCGGAGAACGACTGCCGGCGGCTGCACTGCTC
    CCTGAGAGACTTGAGCTCCCTGCTGCAGGCCGTGGGCCGCCT
    GGCCGAGTACTTTATCGGGGA
    1470 XPO6 3686362 TTTGAAGAAGTTGTGTTGAAAAGTAAGGAAATTTCAGA
    1471 XPO6 3686363 GCCTGTGTAAATGGGCGCCAGCCGCGATTCTTGTCTACTCCT
    GGTGCTGTGACCGTGTATGACAATGGGATGCACATTTTGGCC
    AGC
    1472 XPO6 3686364 CTTCTTATGGGATCTGTCCCGGCTCTG
    1473 XPO6 3686365 TTTAAAGGCTTATGATGAAAAGCTGTGGGGGAG
    1474 XPO6 3686366 TGTTCTTCAGGACAATTTAGAAGTTTATTTGGGATTACAACAGT
    TTATAGTCACTTCAGGGTCAG
    1475 XPO6 3686368 TCCTGCTCACAGAGGTGTTGAATCGAATCCAGTTCAGATACAA
    CCAAGCCCAGCTG
    1476 XPO6 3686369 TTGTTTGGATATCTGGACGCTGTTTTTGGACTATCT
    1477 XPO6 3686371 GTGGTTAATGGAATGAAGGGTTGCCTGTCCTGTAG
    1478 XPO6 3686372 AGCCTTCTAGACTTGCCAGATTGAAATGACACAGTGATCTGCC
    CATCAACTTTTTATCATTTCCCTTCACTTTAATTGGGTCACAAC
    ACAAATGACTTAGAAAATGTGAGCGCACTAGATTATAAGAAGC
    CTTAGCAGACAGTGTCTGAGGATTAAAGTTGC
    1479 XPO6 3686373 CAGGAGCAACATGGGACATTTTATTTCCGGGCCAGTTTTGCTT
    TTCTGAGTAGTAGTTTTCTCTGCTTTTATTATTTCACATATCTCT
    GTTTTGAAAAATAGCTTTTGCAGTAATGAGCTTCAGAATTGCTT
    TTAGCCATTATTTCATTTTCAGCTAAGGCCTAGTATGTCTTTAC
    CTT
    1480 XPO6 3686374 AAAACCGTGATGTTTGCTCTGTATAAGAACACAATCTGATATG
    GTAATATGTTCTTAAAAATTATTTGGTGATAGCTTTCCATATGAA
    TTCAAAGGCATCATTATTCACACTTTCATATTCTTTCTGTCTGT
    GGTTAAGAAAGGCTGTATTACCTTTTTTTTAATGATCTGTGTGT
    CTCATGTCTATCTCTTCATATGTTAATTTAAAAATCTAGCTGCTT
    GTATCAACTATCAAATATCAGTTGTTTTGACTTTAATCATAATGT
    AGTCACAGACAACTTTGTTGTGGCTTCCATTTGGATGGTATAG
    AAATGTCATTATGGATTGTCTATGTACTGATGTTGTTACGTGTA
    ACTTTTGTGCTCTTGGTTTTACATTTTAATCCTGTGCTTCCTATT
    GCCCTGTGAAAGCTGAGAGGTGCCTGGGAGCAGAAAGGTGA
    CATAAATAATGCTGTGTGCTTGCTTCCTGGCTCTGGGTCCCCT
    ACCACTAATTCTAAACAGCTCAGTCCATTCTCAGTTGTTTAGGA
    GCTGCTAACCAGATCCTTGGCTTCTCTTTCCCTCTACTGCCTTT
    TCCCCTAACTTTCTACTGTTCATTAGCACCTGTACCAGAAGG
    1481 XPO6 3686375 TTGTTATTGTCCTCTCAAGTGGAGCCTACAATGACCTACTTTTT
    TTTTTTTTTAAAAGCACTCTAAAAGACGACTCCATCACAGTACT
    CTGAGGCAGGGTTTCATGATTTATGTCTCTTGCAGATGAGGTC
    ATTTATGTATCTTACAACTGCTGCTGTATGAAAACAGGAGGGA
    ATTTGGAAACTTATATTATGAACAATCAGATTGACGGTTTAGGG
    ACTTTC
    1482 XPO6 3686376 GAGACTGCTGCTCCTGCGTAGCCAAGAACAGG
    1483 XPO6 3686377 ACAGAAAGGTAGGTGTGTGCCAGTAAGTCTGAGATTAGCTGG
    AAGGGCTTGGGTGGTTAAGGGAAGTGACTGAGTTTGAAAAAT
    GCTTGTGCCTTGTGTAGGTTTGTTGTCTT
    1484 XPO6 3686378 TGCTGTGCTGCATGGCATCTGTAATCCTCTTT
    1485 XPO6 3686379 ATCAATGAACTCATGTCCAAGAACTGTGT
    1486 XPO6 3686380 AGCTAGCGCACCCTCTTAATTCCTACGTCTGTTTAGTCTTGAG
    TCTCTATGTAATTTGATGCCAGTGTGTCCTTTTGCTACAGCTTC
    TCCATTCCTTAATTCTTTATTTTGATTTATCTCTTTATCTGTGTG
    GTTTCTTTGTCTGTTATCCTCCTTGAGAA
    1487 XPO6 3686381 GGAGGGTTGAAGTGGGAGAATGGCTT
    1488 XPO6 3686383 GTCTTTTCTGTTTGATGAGAGCCTCATGACAAGGTGTAAAGGG
    TAAGAATAAACAGAAAGCAAACCACAACATGAGACAGGAAGGT
    AGGAGGAGAGGGGAGTGCCCTGGGTGACTGGGGTGGCTGCT
    GTGTGCTGCTGTGATACCTGTTTGCTAGGGAGACATGTATGCA
    ATGCCTGGCCGTGAGGCCCTGAGGGTGCCGGGAGCCTGGGC
    TTGCTACTTGAGGGAATCTTGTAGTGAAAAGAAGTTTTTATCTC
    TAACTCCTTTATCCAGGCTTCTTCTTGGATGTCTAGGAACTTTC
    TTTATATCTCCAGTTTAGTGCTTGGCATGTGGTGGGCACTTAA
    AGTTGGCTGAAAGAACCATTGATTTAAAGTAAACTTGGGTTAG
    TGCAATGGCTC
    1489 XPO6 3686385 TAGACCATCTCTGGATTACTTCTAATA
    1490 XPO6 3686386 ATGGAAATCCGTAGCTGTCTGCCCAAACTCCTTTTGGCTCACC
    ATAAAACCTTACCTTACTTTATCCGGAACAAGCTCTGCA
    1491 XPO6 3686390 GCCTCTCTCAGGGCATTGGAAAGTCTGATGACAGAATTTTTTC
    ACGATTGTACAA
    1492 XPO6 3686391 GAGTGATTTATCTGATTGGTACACCAGGGA
    1493 XPO6 3686392 TCTCAAGCTTCATCCGTGTGGTGGCGTGTGTCAGAGCTTCCTT
    C
    1494 XPO6 3686393 AGTGGAGTCATGAAGTATTTGGCCTGTTGTGACTGCCTTATTT
    CACA
    1495 XPO6 3686394 GGCCTGTCAGCCTCCGCCCGTTCAGCCTCGGGGCCGGGGCC
    GCCGCCACCTCTGCCCGCGGAGGCCGGGGAGCCCCTGCCTG
    GGCCCGCAGCCTCCCCCGCGGGGGTCGGGCCCGGGCGGGG
    GTCCCGAGCAGCTGCCCTCCTCGCCGGCATCCGAGCCTCATT
    TCCTGCTTTTTCAGTTTCCTTGGGGAGGGGCGGGTGGGTCTG
    GATGAATTGTCTCGGGGTCCCCCGATGAGGCGACCCGGGCG
    GCCCTGCCCTTTTTAGAGGGTCCCCTCGGGGCCCGGTGGGG
    AAGGGGTTGTCTTTGCATGGGTGGGGGACTTCCCGAGTCTGC
    CGGGACCATGACCTGAACTGTGCGAGCGGGACGTGTCCGAA
    GCCCAAGA
    1496 XPO6 3686396 TGCTTTGTGATAGGGAGAGTTATTTCTAAGGGAAAGGAATGTA
    CCCTGTATTTCTTTCTTTTTCTTTTTTTTTTTTTTTTTTTTTGAGA
    CAGAGTCTTGCTCTCTTGCCCAGGCTGGAATACAGTGGGGTG
    ATCTTGGCTCACTGCAACCTTTGCCTCCTGGGTTCAAGTGATC
    CTCCTGCCTCAGCCTCCTGAGTAGCTGGGACTATAGGCGCCT
    GCCACCACACCCGGCTAATTTTTGTATTTTTAGTAGAGATGGA
    GTTTCACCATGTTGGCCAGGTTGGTCTCGAACTGCTGACCTCA
    AGTGATAAAGTGCTGGGATTACAGGCATGAGCCACCACGCCC
    AGCCCGTACCCTGTATTTCTTGAAGTGAAGAATATAAAGTCTG
    TA
    1497 XPO6 3686397 TCACAGCTCATAGTGACCTCGATCTCCTGGTC
    1498 XPO6 3686399 TGCAGAGATTACCTATGTTACAGGCTTAAATTATAGATGTGAA
    GATGGTAAAGGGAGACACTATTTTAATCAAAAGCTTCCTGGGT
    ACAAAGCTAATGAGAGGAAAAATTATACATTTTATCAAGCTCTT
    TTTCAAGTAAAGAATAGCTTTCTTTTTTCATCTGGCTTCTTGCC
    TGACCTTCTCCCCTTCCCCTAAATGGTGAGAGGAAGGAGAGC
    TTGCAGATAGATTTTCCATATCGTAGGGGATTTTTATATCTGGG
    AAGCACAGCATTTCATATTTATAGGAGGGTGTATATTGCCAAAT
    GGGATATTTGGCATTACGAGTCATTTCCAGCTGAGAGAGTAAG
    GATGCA
    1499 XPO6 3686401 TCCCTGGCGTTCTGTCCAATACACTTGCCTTCAATCCAAGTTG
    AGGACGGTTATGGTAACCCTCTCCAAGGCTCTCTTAAGTGGG
    CGTCAGGGAAGCCCACTGGAGACAGGAAAGACCAAGAGGGT
    TGGGAGTCTAAGTGAACCTATTCCTGGGTTGGTTAGTGGTGC
    GTCCTGTGACAAGAAGAGAGGGACCTTGAGACGGAGAGTCAC
    AGGCCTGATGATAGCAGGTAAGGTGGAGCCACAGTTCCACCG
    CTGGGATTGGTCCCTTTGATGAAGAACAGAACGTTTCCTGGCT
    ACATTTGAAGTATAATTATTTGTAACAAAAGATGGATTTGGAAG
    AGAGCACTTTTAGGTGAAGGGCTTCTGGAGGTTTAAAAAGGCT
    AATTGTCCACTGTTCTCCACCACCTCCCGCTTTCAACCCCTTC
    AGTATTGACTCCTTTAACCTCATGTAGCTTTCGTGACTTTGAAA
    CACCATGTAGTAGAAGGAGCCAGAC
    1500 XPO6 3686403 TAAATTTTAGCCTTTCTGGTAGATGTGTAGCACTATCTTATTTTA
    AATTTGTATTTTCCTGATAACTAATGAGGCTGAACACTTATTTAT
    AGGCTTTTTGAATA
    1501 XPO6 3686405 GGATGTAACTGCTAGGCCACCTTCAGTTCTTTGAAGTTAGGGA
    CCGTCTTACTCATCATTGTATCCCAGGGGCTTAATTTAAGCAAT
    ATCAGTTACTTAGTGAGTATTGAATTCTCATTTCTCCAACAAAT
    AGCTGAGTTGCTTAGTCACTCCAGAATTAAAGCTAGGTTTAGA
    ATAATTGGAGCGGTGTGATGGCATGTGCCTATAGTCTCAGCTT
    CTCAGGAGGCTGAAGTGGGGAGGATCGCCTGAGCCCAGGGG
    TTTGAGGCTGCAGTGAGCTGTGATTGTTCCACTGCACTCCAGT
    CTGGGGTGATACAGCAACACTCTG
    1502 XPO6 3686407 CTCCCACATGACTATGGTACAGTTACCATCTTCGGTTAATAGA
    ACATTGATTCAGTACTTTGATCTAACCTACTACCACCTGTATTC
    CAGTTTTGTCAATTGGCTCAGTCATGCCTTTCATAGCATTTTTT
    CCCTCCAGTCCAGGATCAATCTGTGGTCAGGTGTAGCATTTAC
    TT
    1503 XPO6 3686409 TGCAGCATGCTTTTATAGTGGTTCGTCAGTTTCATACTCATTCA
    TTACCTGATG
    1504 XPO6 3686411 ATGGTGTGTGTGAAGACATGGAACTGTTATGTGGAGAGAAA
    1505 RP13- 3716787 ACAGTTGGTGTTACGTTAGAGCTAATAATTATACTTTAGCACGT
    753N3.3 TAACCTCAGAATTCTAAGGCTGAGAGTCAAACACTGCTAATTC
    ATAGAAGGCAATAGCTTGTAATAATGAATCATAAAGCTCTTCTA
    CTCTTTGTAGTTCAGTAGATAAAAACATCTGTCTGTAGTGAACT
    ATTTTATCTGATGGGAAGAACACCCGAGGATCCGCCTTCAGTA
    TAGAATCGAAGAGAAACTGCTTCACTAGCTCTTTTCCACTAGT
    CCGGGAGTCACCAATCATCA
    1506 TOP2A 3756154 TGAAATTGAATTAAGTTTAAGGCTGGGTG
    1507 TOP2A 3756155 GGCTGTTCCAAAACAGTAAGTTATCTCTATTGATTGT
    1508 TOP2A 3756156 GGAACTAAGCATGGTGGGAAATGTTCCTGCT
    1509 TOP2A 3756194 CTGGATTGCAGAAGACTCGGGGACAACATTTGATCCAAGATCT
    TAAATGTTATATTGATAACCATGCTCAGCAATGAGCTATTAGAT
    TCATTTTGGGAAATCTCCATAATTTCAATTTGTAAACTTTGTTAA
    GACCTGTCTACATTGTTATATGTG
    1510 TOP2A 3756195 AGTGACCATCTCATGGGCATTGTTTTCTTCTCTGCTTTGTCTGT
    GTTTTGAGTCTGCTTTCTTTTGTCTTTAAAACCTGATTTTTAAGT
    TCTTCTGAACTGTAGAAATAGCTATCTGATCACTTCAGCGTAAA
    GCAGTGTGTTTATTAACCATCCACTAAGCTAAAACTAGAGCAG
    TTTGATTTAAAAGTGTCACTCTTCCTCCTTTTCTACTTTCAGTAG
    ATATGAGATAGAGCATAATTATCTGTTTTATCTTAGTTTTATACA
    TAATTTACCATCAGATAGAACTTTATGGTTCTAGTACAGATACT
    CTACTACACTCAGCCTCTTATGTGCCAAGTTTTTCTTTAAGCAA
    TGAGAAATTGCTCATGTTCTTCATCTTCTCAAATCATCAGAGGC
    CGAAGAAAAACACTTTGGCTGTGTCTATAACTTG
    1511 TOP2A 3756196 CAAGGGGGAGAGTGATGACTTCCATATGGACTTTGACTCAGC
    TGTGGCTCCTCGGGCAAAATCTGTACGGGCAAAGAAACCTAT
    A
    1512 TOP2A 3756197 CTGGTGTCTCTCAAAAGCCTGATCCTGCCAAAACCAAGAATCG
    CCGCAAAAGGAAGCCATCCACTTCTGATGATTCTGACTCTAAT
    TTTGAGAAAATTGTTTCGAAAGCAGTCACAAGCAAG
    1513 TOP2A 3756198 AGTTCCTAAAAAGAATGTGACAGTGAAGAA
    1514 TOP2A 3756199 GGCAGTGTACCACTGTCTTCAAGCCCTCCTGCTACACATTTCC
    CAG
    1515 TOP2A 3756200 TTAGTAACAAAGAACTGAAACCACAGAAAAGTGTCGTGTCAG
    1516 TOP2A 3756201 TGATGAAGATTTTGTCCCATCAGAT
    1517 TOP2A 3756202 ACAAACTACATTGGCATTTAAGCCAATCAAAAAAGGAAAGAAG
    AGAAATCCCTGGTCTGATTCAGAATCAGATAGGAGCAGTGAC
    GAAAGTAATTTTGATGTCCCTCCACGAGA
    1518 TOP2A 3756203 AAAATACTGAAGGAAGCCCTCAAGAAGATGGTGTGGAACTAG
    AAGGCCTAAAACAAAGATTAG
    1519 TOP2A 3756204 AACAAGATGAACAAGTCGGACTTCCTGGGAAAGGGGGGAAGG
    CCAAGGGGAAAAAAACACAAATGGCTGAAGTTTTGCCTTCTCC
    GCGTGGTCAAAGAGTCATTCCACGAATAACCATAGAAATGAA
    1520 TOP2A 3756205 GAACAAGAGCTGGACACATTAAAAAGAAAGAGTCCATCAGATT
    TGTGGAAAG
    1521 TOP2A 3756206 TGACTCCGTAACAGATTCTGGACCAACCTTCAACTATCTTCTTG
    ATATGCCCCTTTGGTATTTAACC
    1522 TOP2A 3756207 AATGAAGAGAGTGACAACGAAAAGGAAA
    1523 TOP2A 3756208 ATTAATTAAAGTTCTGATTCAGAGGGGATATGATTCGGATCCT
    GTGAAGGC
    1524 TOP2A 3756209 GCTTTTTGACCACGTAGGCTGTTTAAAGAAATATGACACGGTG
    TTGGATATTCTAAGAGACTTTTTTGAACTCAGACTTAAATATTAT
    GGATTAAGAAAAGAATGGCTCCTAGGAATGCTTGGTGCTGAAT
    CTGCTAAACTGAATAATCAGGCTCGCTTTATCTTAGAGA
    1525 TOP2A 3756210 CCTCCTCTCATAACAGACTATAGGGAATACCATACAGATACCA
    CTGTGAAATTTGTTGTGAAGATGACTGAAGAAAAACTGGCAGA
    GGCAGAGAGAGTTGGACTACACAAAGTCTTCAAACTCCAAACT
    AG
    1526 TOP2A 3756211 TCAAGGGTACTATTGAAGAACTGGCTCCAAATCAATATGTGAT
    TAGTGGTGAAGTAGCTATTCTTAATTCTACAACCATTGAAATCT
    CAGAGCTTCCCGTCAGAACATGGA
    1527 TOP2A 3756212 GGCTCGATTGTTATTTCCACCAAAAGATGATCACACGTTGAAG
    TTTTTATATGATGACAACCAGCGTGTTGAGCCTGAATGGTACA
    TTCCTATTATTCCCATGGTGCTGATAAATGGTGCTGAAGGAAT
    CGGTACTGGGTGGTCCTGCAAAATCCCCAACTTTGATGTGCGT
    GAAATTG
    1528 TOP2A 3756213 GACCATTATCAATTTGGCTCAGAATTTTGTGGGTAGCAATAATC
    TAAACCTCTTGCAGCCCATTGGTCAGTTTGGTACCAGGCTACA
    TGGTGGCAAGGATTCTGCTAGTCCACGATA
    1529 TOP2A 3756214 TGTTTACTTGCTTCAAACGGAATGACAAGCGAGAAGTAAAGGT
    TGCCCAATTAGCTG
    1530 TOP2A 3756215 TCTGACATATAATGACTTCATCAACAAGGAACTTATCTTGTTCT
    CAAATTCTGATAACGAGAGATCTATCCCTTCTATGGTGGATG
    1531 TOP2A 3756216 AACAGATAGATGATCGAAAGGAATGGTTAACTAATTTCATGGA
    GGATAGAAGACAACGAAAGTTACTTGGGCTTCCTG
    1532 TOP2A 3756217 CCAGCACATCAAAGGAAGCTAAAGAATACTTTGCAGATATGAA
    AAGACATCGTATCCAGTTCAAATATTCTGGT
    1533 TOP2A 3756218 GAAGAGTGGAAGAGTTCTACTCCAAAT
    1534 TOP2A 3756219 TGGCCCTCTCTTCTGCGACATCGTTTTCTGGAGGAATT
    1535 TOP2A 3756220 AATATCATCAAGATTGTGGGTCTTCAGTACAAGAAAAACTATGA
    AGATGAAGATTCATTGAAGACGCTTCGTTATGGGAA
    1536 TOP2A 3756221 TGGGAGAGACAAATATGGGGTTTTCCCTCTTAGAGGAAAAATA
    CTCAATGTTCGAGAAGCTTCTCATAAGCAG
    1537 TOP2A 3756222 CTCCACTGAGTGTACGCTTATCCTGACTGAGGGAGATTCAGCC
    AAAACTTTGGCT
    1538 TOP2A 3756223 CATTGGCTGTGGTATTGTAGAAAGCATACTAAACTGGGTGAAG
    TTTAAGGCCCAAGTCCAGTTAAACAAGAAGTGTTCAGCTGTAA
    AACATAATAGAATCAAGGGAATTCCCAAACTCGA
    1539 TOP2A 3756224 TGTAAATGCCTTAATTGAAAACCCAACCTTTGACTCTCAGACAA
    AAGAAAACATGACTTTACAACCCAAGAG
    1540 TOP2A 3756225 GCTGATCAGATTGTGACTAAACTTGTTGATGTTGTGAAGAAGA
    AGAACAAGGGTGGTGTTGCAGTAAAAGCACATCAG
    1541 TOP2A 3756226 AAAGGATTTCGTAGTTATGTGGACATGTATTTGAAGGACAAGT
    TGGATGAAACTGGTAACTCCTTGAAAGTAATACATGAACAAGT
    AAACCACAGGTGGGAAGTGTGTTTAACTATGAGTGAAAAAGGC
    TTTCAGCAAATTAGCTTTGTC
    1542 TOP2A 3756227 TATACATGTATCACCTTTCAGCCTGATTTGTCTAAGTTTAAAAT
    GCAAAGCCTGGACAAAGATATTGTTGCACTAATGGTCAGAAGA
    GCATATGATATTGCTGGATCCACCAAAGATGTC
    1543 TOP2A 3756228 TGGCTATGGAGCCAAATTGTGTAACATATTCAGTACCAAATTTA
    C
    1544 TOP2A 3756229 TGAAAAGATGTATGTCCCAGCTCTCATATTTGGACAGCTCCTA
    ACTTCTAGTAACTATG
    1545 TOP2A 3756230 TAATGCTGCGGACAACAAACAAAGGGACCCAAAAATGTCTTGT
    ATTAGAGTCACAATTGATCC
    1546 TOP2A 3756231 CAAATGTGGGTTTACGATGAAGATGTTGGCATTAACTATAGGG
    AAGTCACTTTTGTTCCTGGTTTGTACA
    1547 TOP2A 3756232 GAACATATTTTGCTCCGCCCAGACACCTACATTGGTTCTGTGG
    AATTAGTGACCCAG
    1548 TOP2A 3756233 CCTGTAAATGAAAATATGCAAGTCAACAAAATAAAG
    1549 TOP2A 3756234 GTTCTTGAGCCCCTTCACGACCGTCACC
    1550 TOP2A 3756235 TTCAAGTGGAGCTCTCCTAACCGACGCGCGTCTGTGGAGAAG
    CGGCTTGGTCGGGGGTGGTCTCGTGGGGTCCTGCCTGTTTAG
    TCGCTTTCAG
    1551 TOP2A 3756237 TTAAATAGGAATTCATACCAGGGACAAAGCAG
    1552 TOP2A 3756239 GGTCACTTATACACGCATTTCTTTAAAATATCTGATTAGGTATT
    TATAGTTTGAAAGAGATGATGTTTCCTTGACTGAGCATCTTGAG
    AAATCAAGATTTAGTTGACAATTAGACATGAGGAGAATAGAGA
    GCTAGAAGACCTTGCATAAACTGATTGACCAAGAGAATAGATA
    CACTAATCATGTCTACAGGAACAGAAAATAAAAGAGACAGAGA
    AGAGATAATAAATCTGATGGTAAAAAAAAAAAAAGGCAGGAAG
    ATTACGAATGGCTTCTACTCTCTGGGTGTGGTGGCGCATGCCT
    GTAATCTCAGCACTTGAGCTGGGGAGGTCAAGGCTGCAGTGA
    GCCTAGGTAGTGCCACTGCACTCCAGCCTGGACACAAGAGTG
    AGAGAGACCCTGTCTCCAAAAAAAAATGATTTGATCATATATGA
    TTTGACTGCCCCCTTGTGGTAATTTACATTTGTCAATGGTTTAG
    GGAGACTTGCCTGTATACCGGGATATACAAATTTATGCAAGCA
    CGAAGACAGTTTA
    1553 TOP2A 3756241 ATCGGCCCGTTTCCTATTATGGAAGATTTAGGTCATTTCCATGT
    TATAAATAATATTGAGGTGATTATTTTGGAGTATAAAACAAGAA
    TGTTTATATTATGATCTATTACCTAACAAATAATTTTGCTCATTA
    TATAGTAAATTGTGTTTTATCACAAGGCTATAAACAGCATGTTC
    1554 TOP2A 3756243 GCTCATTTGTATTCTAGATTTCTGATAGATCCCTTCTTCCCTAA
    TATGATCCCTAATATGAATCTTC
    1555 TOP2A 3756245 AAATAAAGCATGAGTACATTTTTAGTGGCTTAATATCAACTTCT
    ATTGCAG
    1556 TOP2A 3756247 CTTAAATTATTAATCATGATTTATCTTTACATATATGTGTTCTTAT
    TGT
    1557 KRT15 3757079 TTGCATGCGCTCTATTCCCCCTCTGCCTCTCCCCACCTTCTTT
    GGAGCAAGGAGATGCAGCTGTATTGTGTAACAAGCTCATTTGT
    ACAGTGT
    1558 KRT15 3757080 GTGTCTATTGCAGGAGAAACGTCCCTTGCCACTCCCCACTCTC
    ATCAGGCCAAGTGGAGGACTGGCCAGAGGGCCTGCACATGC
    AAACTCCAGTCCCTGCCTTCAGAGAGCTGAAAAGGGTCCCTC
    GGT
    1559 KRT15 3757081 GTGGTTTCTTCCCACAAGAGAGAAATCTAA
    1560 KRT15 3757082 CAATTTCCACATCAATGTAGAAGAGTCAGTGGA
    1561 KRT15 3757083 TTGAGTAGGCTTCATTCAGGGCATGTCTCTCCCCCAGGCCCC
    ATCTTCATACACTTCCGCTAAGATGCCCACAATTCATCCCCCTT
    CATGTGCAGCTTGAAAAACCCTGACATTGTTGCTCCCTGCCGG
    GCATACCTGCCATTGCCACTGCCCATCTCTGTGATGAGGAATT
    CAACACCAGATCTCTGGCAGCTCTTGAGGGATTGGCCAGTGG
    CCATTCTCAGGGGTGCTGTCTAGTTTTCC
    1562 KRT15 3757084 GATGGCTGGCATTGCCATCAGGGAAG
    1563 KRT15 3757085 AGGATCTGGACTCCTCACTCTGGTCCTTGGCTGTTACCTGGGA
    CAGGTCACTTCCTCTCTCTGGATCCGTGTTTCTTCTGTAAATGA
    TAGAGGCTGGGCTAGTGGTAGTTAAGATCTAGTGCTCATTCCA
    TTCTCTGCATGAGATAGATGGGTATTCTTGTAGTTCAGAATCTT
    GACCAGCTCAGTGGCTCATGCCTGTAATCCCAGCACTTTGGG
    AGTCCAAGGCGGGTGGATCACTTGAGGTCAGGAGTTCGAGAC
    CAGCATGGCCAATATGGTGAAACCCCGTCTCTACTAAAAATAC
    AAAAATTAGCTGGGCGTGGTGGCGGGTGCCTGTAATCCCAGC
    TACTCGGGAGGCTGAGGCACAAGAATCACTTGAACCCGGGAG
    GCGGAGGTTTCAGTGGGCTGAGATCGTGCCACTGCACTCCAG
    CCTGGGCGACAGAGTGAGATTCCGTCTCAAAAAACAAAACAAA
    ACAAAACAAAATCTGTCTACTTGGGGATAGCAGGCCTGGATG
    GGCTAGCAGGATGTCCCACCCCTAGAGGAGTCAGATGTGTGG
    GTGGTGGTGGTGTAGGGTCTGAAGAACACTGCATAGCTATCT
    ACATGAGCTTCCCTTACGGACACTTGAGCTTGTGCCCTTTGCT
    TAAATC
    1564 KRT15 3757086 AGAGTGCCGCTATGCCACGCAGCTGCAGCAGATCCAGGGGC
    TCATTGGTGGCCTGGAGGCCCAGCTGAGTGAGCTCCGATGCG
    AGATGGAGGCTCAGAACCAGGAGTACAAGATGCTGCTTGACA
    TAAAGACACGGCTGG
    1565 KRT15 3757087 CCTGATGTGTCTATGCATCTGTCACTCCCCCA
    1566 KRT15 3757088 AGAGGTGGCCTCCAACACAGAAATGATCCAGACCAGCAAGAC
    GGAGATCACAGACCTGAGACGCACGATGCAGGAGCTG
    1567 KRT15 3757089 CTGGCCGGCCAGGTCAATGTGGAGATGGACGCAGCACCGGG
    TGTGGACCTGACCCGTGTGCTGGCAGAGATGAGGGAGCAGTA
    CGAGGCCATGGCGGAGAAGAACCGCCGGGATGTCGAGGCCT
    1568 KRT15 3757090 GTGAGAGCTGGCCCCCATCACCCCTGA
    1569 KRT15 3757091 TGACATCAACGGCTTGCGCCGAGTCCTGGATGAGC
    1570 KRT15 3757092 CTCCTCTTCCTGCATTGCCCACTTTACTTGGCCTTCTCCTGGC
    TCTGACTCAGGCAGCCAAGACCCCTCCCACTTCC
    1571 KRT15 3757093 ACCATCGACAACTCCCGGGTCATCCTGGAGATCG
    1572 KRT15 3757094 GTTCTGTAGATCCATGGCTGTGTCCAAGGTGTGCAGGAGGCA
    GTGACCATGAGTTGTCCACAGTGGGGCTGGTGGAGTGTCTCT
    GAGAGAGCTATTGTCAGAGCTGGCTGCACCCCACTGCCCCAC
    TCTCCTGGGCAACCAATTCCCACAGGCAATACTGCCTCCTTGG
    TCTTTCGTGCCCTGGAGA
    1573 KRT15 3757095 GTGAGTCCTCGGATGTCAAAGAGAGG
    1574 KRT15 3757096 CAACCAGCCCAGAATGCGACTACAGCCAATACT
    1575 KRT15 3757098 CTCTGGCAATGAGAAAATTACCATGC
    1576 KRT15 3757099 GTTTGTCTCTTCAGGGTCAGGAGGAGGATATGGGGGTGGCAT
    GAGGGTCTGTGGCTTTGGTGGAGGGGCTGGTAGTGTTTTC
    1577 KRT15 3757100 GGTGGAAGCCGAAGTATCTCAGCTTCTTCTGC
    1578 KRT15 3757101 GAGGTCCCACAACACCCTCTGAAGGGTATATAAGGAGCCCCA
    GCGTGCAGCCTGGCCTGGTACCTCCTGCCAGCATCTCTTGGG
    TTTGCTGAGAACTCACGGGCTCCAGCTACCTG
    1579 KRT15 3757102 GATCGGCCAGTGGACTCCCAAACTAAGAACACGGAGCTGTCC
    TCTTGGGGAGAGGCTCAGGGCTCGGGGAAGTGAAGTCCAGC
    TGAGGGCACAGTTGGCCTGAGCTGCTCTCAGTACAGGCAGAG
    GCCTTGGTAGCTGTGCTGTGATGAGAGTTCGCTCCCTGCTGC
    TCTCTTCTGGCATGGAGAGATGAACCTGTAATCCAAGTGTTAA
    AACCGTGCCCTG
    1580 KRT15 3757103 CCCAGCCTTATCAGCGGAGGTTTGCCCCAACACATCCCAGAA
    ACGAGCAAAGGTTCAGCGCCGTGCAGTTGGCAGGTGTCGGG
    ATCATCAGTCATCCCCTTGTCAGTCCCAAGCCTGCTGGGCTTT
    TGTGAGGGTGCCAGGAACACAGGCTGGAGGATGGCAGGAGG
    GGAGTAGAGGTGGGAGGAGGGGAGTCCATCTGCAGCACCAG
    GTAAGGGGATGGATGCTGGCTCCTCTGGTCACCTCAGCTGGA
    ACACTACTCAAGGTC
    1581 KRT15 3757104 GACAGAGCTTTATCTTCGCAAGGCCATCCCACCTGGTGCTAAT
    GAGGAGGCTCCGGGCCCCACCCAGATCTGGAGCTCACAGTA
    GCGGTTTGGACTGAAACCAGGGATTTGTGCGTGGGGCAGTGA
    GGGGGGCAGCTGCCGCCCCTGGCCTGGGCCTGAGAGTATAG
    AGAAAGCCACCTCGAGGGGCTGCTGGAGGAGAGTCAGGTGC
    AGAAGGGGATCTGGCTGGGGTCCAGCCCTTCCTCACCCTGGG
    GTGAAAGGCGAGTAATTGTTCTTGAGTTAATTGCTGGGGCCAC
    AATGTCTGCAGAGGCTTTTAATGAGCTCTGGATGATCTGAGTT
    TGATTATTTTTCTTTCGGAGGAAAAGACAATACCCTCCCACCCA
    TGAGACAATACCACACTGTCTGTGCCCAGCATTGGAGGCCAG
    GCTCACTGCGAAGATGGATGAGAAGGAACCCACCCCCAGCCT
    TGCTGGCTGGCAGTTCCCCTTGCCAGCCCAGCTCAGATGCAG
    GAATTTGGGGTCTGCAGGAAGGACTCTTTCCCTGTGCCCTGTT
    TGGTTGAGGGTGTGAGGACCTGTTTGAGTCCTGGCTTTGCCC
    CTTACCAGTGGTGCCACCTGGCACAAGTTGCTTCACCTCTCCA
    AGTTTCAATTTCATTCTTTCTGAATCTTGGGTGGGGGTCACCCT
    CTGTTGTGAGGATGAGAGGAGGTGATGGATGCAAAAGTGCTT
    TGTAAATCACAAAGTGCAGGGTAGAAGTAAAGGATTATGCTAT
    TATAGCAAAATAAGAACCTAAGAACAACCTGCGTTGCCCCATA
    GGAGCTGGCTATGGAAGGTCGATGCCGTTGAGCCTAAGAACA
    TGCTCAGGCTCACAGGGCATGTTCTGATGCCCAACGACAAAG
    CCCCTCCTGGTGAGGGCACTCAGGCGCAGGTGCCGGTCATG
    CACCCTGGCCCCTGCATGTCTGGCACCTGGGTGGGGATCCAG
    GAGGGGGCAGGATGGGGGCTCTTGGGCCACAGGGCTTCCCT
    GGAAGTGAGAGTTGAGAGCGCCCCTTGCCACAGGGAAACAGA
    GACTTAAAAAGGTAAATGTCCACAGTCTTACCATGGTAATTGG
    TAGGGTCAGGATTTGAACCCAGGCCTCACAGTCTTACCATGAT
    AATTGATAAAGCCAGGATTCAAACCCGGGCCTGAGGGACTCC
    AGAGCCCTGTCCACTTCACCATGCTGCAACCTGGGCTAGGAA
    TCCTCCTCCTGAGTTTCTGTAAGCCCTGGGGCCAGGTCCAGA
    GGGCTGAGCCACACCTCCAAGTGGCACTGCCCACAGGTATCA
    GGTGTCCCTGGAAAGGTGTCCCTGAGCTGGTGGCAGAGAAAA
    GGGCTCTCCTGAGTGTTCAACTC
    1582 KRT15 3757105 GCAGGCCCAACCCTATGAGTGATGGGGGCAAGTGAGGGACA
    CTAGTTCCACGCCCGCATGCTGCCAAATGTACTCAGCACCCT
    GCTAAGGAGGCTGGAGACCCCATCACGGCCATGGCAATCCC
    GAAGGAGGAGCTGTTTCAAGGTTGGTTATGAACATGTAACCCC
    AGAGCCCCGCTGCTGTAGCCTGGACTGGGACCCCCTTCTGCC
    CCCTCCCTAGCTGTCCTGTTCTGGCCTCCAGCACCCACAAAC
    CACCACCCCCAACTTAACTTCTCAGGAAGCCTTGGAGCTGGA
    GGGAGAGGCCTGGCTGCACCCCCAGCTGGGACTGCCCAGAG
    GCGCTTGTCCCTGCCCATGAAAGCCTCCCTTGTCACAGCTGA
    AACCTTCCCTCTGCCTCAGGGGCCCCTGGAATGTGGCTGCGG
    GGCGGGGTCTGGGCCCACACAGGTGGGGCAGGTGACTGTCA
    GGTCTCAGGCCTGAGTGTCAGGAATGAAGCCTGCCTTTGTGT
    GTGCACAGTGCAGGGTGGGGCTGGACTGGGGACACTTTTCTG
    TCTCAGCCTGGAGACCTGGGATAGGAGGGAGAGGGGAGTGG
    GGAAGTTGAGGGGAGTGCCTTTACATCCTGCTGGTCATCGTG
    GCCACTTCAGTCTGTTGAGCATTTCCTGTGAGTCATCTTGCTC
    CAACTGAGAGTCAGGCTGAGCTGGAGTTATTTCCATTTTCCTG
    ATTGGTAGACTAAGGCTCA
    1583 TMEM100 3763391 CGTCTTTGGTCAGGAACTTTATAATGTGCTAT
    1584 TMEM100 3763392 TTGCAGTTCCAAATTGCCATCTTCCCTTGTCTCATTTGCAAGTT
    CTCAATTGTATTTCTCTCAAATGGACAGGTTCCTTCTTTACTGG
    AGGATTTTTGTTTTTATCATATTGGTTTTTCATTACTTCTGAATA
    GTCTTAATTACGTTTACTAAATTCTAAAGGATTTCTGTGCTATTA
    TAATTAGG
    1585 TMEM100 3763393 ACCCTAAGGGCTACTTCTGAGACTGAAAAATCAGCTTTCTATTT
    ACATGAAACACTTTGGGGGTCATGGGAGTGCACAGCATTAGA
    CAGTATTTGGTTCACCCTGTAAAGTAGCCAAGAAAAGATGAGA
    AAAATCAAGATAGGCCTGGCACACTAGACATTTGCCTCCAAAA
    GAAATAACCTACAGTCTTAAGATGTATCATAAAAATGTTCTGCC
    AAGGATCTAAATTACCTTGGGTTTCGCATATGTCTATGA
    1586 TMEM100 3763394 GTTGTGATCACCACAGTCCCTCTGGTCAGTGAGATTCAGTTGA
    TGGCTGCTACAGGGGGTACCGAGCTCTCCTGCTACCGCTGCA
    TCATCCCCTTTGCTGTGGTTGTCTTCATCGCCGGCATCGTGGT
    CACCGCGGTGGCTTACAGCTTCAATTCCCATGGGTC
    1587 TMEM100 3763395 TGGTGAGACTGTCCAGATCTAGTCTGTAAACCCAGCTTAGAAG
    CACT
    1588 TMEM100 3763396 TTGGAAGATATTGTTACACTTCAGACCACAAATCCCCACCTCA
    TT
    1589 TMEM100 3763397 AATTTGGGGACAGATCTTGATTTTCAGGTTAGCTCAATCTCAG
    CTTTGG
    1590 TMEM100 3763398 AGAAGTTGGACGAAGAGGCTCAGGCGTTGCTGTTTCTTGTCTT
    CCAAGTCAAGTGGTTACTCTGGTAATG
    1591 TMEM100 3763399 ATCCCAAACCAGAGCAGACCCTATAGTAAAGTATTTTTACATCT
    TTTCCTTTCCCCAGAAGAGATCCCTAACCTATTGTTTTAT
    1592 TMEM100 3763400 GTTTGCACCTTTAGCTTTGGTAACAGGAAAGCATGCTTTTCAA
    CAGAATAAGGTGATATTCAGAGCTTCAGTGCAGTTATTGGGCT
    ATCTTGCAGGCAAAGTGGTACTAGAAAATAGAGGGGAATTGC
    CCTCAAGGGCC
    1593 TMEM100 3763401 ATGCTCCTCTTACCAAGCCTGCAACTTAAAACCTATGGTTTAAA
    CTGTGCTTTCAATTATCTGGAGGAGGCCAGCACTGATGAGCC
    CATCCTGAGCCAGTCATTTTAAGGCCAGTGCTACCTAACTGAG
    ACAAGGCTAATCTGGTC
    1594 TMEM100 3763402 CAGTTTATTATGGTATTGGACACCCCATGCTCCTTACTGCATTG
    GCTTTGGGTAAGAAGGAGTGAAAATTAGTGTGCGAACCTGAAA
    ACCTAGAATTTCTGATTGGGACTGA
    1595 RPL31P57 3766793 AAAATCTACAGTCGGTGTGAATGTGAACTAA
    1596 RPL31P57 3766795 AAAGAGCTCCGGAAACTTGCCCTGAAGGAGATGGGAACTCCA
    GATGCACACTTTGATACCAGGCTCAACAAAGCTGTCTGGGCC
    AAAGGAATAAGCAACGTCTCATACTGTATCCATGTTCGGTTGT
    CCAG
    1597 HIF3A 3836706 ATGGCGCTGGGGCTGCAGCGCGCAAG
    1598 HIF3A 3836707 GGGGTTTTATCTGGCCATGTTCCCATGGGACCCTGGAAAATGT
    TCTAGGTCCTCAGCTTTCC
    1599 HIF3A 3836708 ATCTCACCGCCGTGCGCACCCACTCGTAACTCGCACCCGGGT
    CCTGGCTGCACCGCATCCCCTCCTGCACCCCCTGGATGGCCC
    TTCAGCCAACGGGGGCCTG
    1600 HIF3A 3836709 CAAGGATGCTCTTGGGAAGTCCCTGGTGG
    1601 HIF3A 3836710 GTACGGCTTGCAGCCCAGAGTGCCCAGTGAG
    1602 HIF3A 3836711 TCAAGATGAGGAGCCAGTAGTGAGG
    1603 HIF3A 3836712 CGCCACAGAGAGGAGCGAGGCGCCAGAGGCACC
    1604 HIF3A 3836713 GTCGACCACGGAGCTGCGCAAGGAAAAGTCCC
    1605 HIF3A 3836714 TGCTGTACCAGCTGGCTCACACGCTGCCCTTCGCCCGCGGCG
    TCAGCGCCCACCTGGACAAGGC
    1606 HIF3A 3836715 ATGCGCCTCACCATCAGCTACCTGCGCATGCACCGCCTCTGC
    GCCG
    1607 HIF3A 3836716 GGAATCCAGGCCACTAGGATGTACCCCCACTTCCTTGG
    1608 HIF3A 3836717 ACCACTGGATGCCTGCTACCTGAAGGCCCTGGAGGGCTTCGT
    CATGGTGCTCACCGCCGAGGGAGACATGGCTTACCTGTCGGA
    GAATGTCAGCAA
    1609 HIF3A 3836718 TTGGTATCTGTTCCTTTTCTCTGCCTCGTTACCCCACTCCTGGT
    A
    1610 HIF3A 3836719 CTGGAGCTCATTGGACACAGCATCTTTGATTTCATCCACCCCT
    GTGAC
    1611 HIF3A 3836720 GAGCTTCAGGACGCCCTGACCCCCCAGC
    1612 HIF3A 3836721 GAGGCCCCCACGGAGCGGTGCTTCTCCTTGCGC
    1613 HIF3A 3836722 ATGAAGAGTACACTCACCAGCCGCGGGCGCACCCTCAACCTC
    AAGGCGGCCACCTGG
    1614 HIF3A 3836723 TGCTGAACTGCTCTGGACATATGAGGGCCTACAAGCCACCTG
    CGCAGACTTCTCCAGCTGGGAGCCCTGACTCAGAGCCCCCGC
    TGCAGTGCCTGGTGCTCATCTGCGAAGCCATCCCCCACCCAG
    GCAGCCTGGAGCCCCCACTGGGCCGAGGGGCCTTCCTCA
    1615 HIF3A 3836724 CGCCACAGCCTGGACATGAAGTTCACCTACTGTGACGACAG
    1616 HIF3A 3836725 AAGTGGCTGGCTATAGTCCCGATGACCTGATCGGCTGTTCCG
    CCTACGAGTACATCCACGCGCTGGACTCCGATG
    1617 HIF3A 3836726 GTGCGAAGCCAGCTGCCACATGGCCCCCAGCTGACACCAGG
    ACCCCCCAG
    1618 HIF3A 3836727 CCCAGGATGCACTGCCTCCCCACCTCAACACCAGCTCCCTGC
    TCCCCAAGCCCCAAGGAACTGTCTCCTTCCTTGCCCCCTCATA
    CCCAGTCCCCAGATATTTCTCTCCC
    1619 HIF3A 3836728 CAGTAACAGGGCAGTATCGCTTCCTGGCCCGGAGTGGTGGCT
    ACCTGTGGACCCAGACCCAGGCCACAGTGGTGTCAGGGGGA
    CGGGGCCCCCAGTCGGAGAGTATCGTCTGTGTCCATTTTTTA
    1620 HIF3A 3836729 TGGGCCTGATCTGCATGTGTGGACAGGTGTGTGTGTGTGTGT
    GTGTGTGTGCGTATGAGCATGCATGTGTATCATGCATAAGTGT
    ATGTGAGGGAGTGTGCACGTGTACACATATGAGGAATGTGTG
    TCACCATGTAAATGCCGGTGTGTGTGTCTGCATGGACACAGGT
    ATGTGTATGGGTGTGTAGACTGTTAATTTTTTTTTTTTTTTTTTT
    TTTTTTTTTTGCGTGAACCTCTGCTTAAGTG
    1621 HIF3A 3836730 GCAAAGTGGTTAGGACCCATTCTCAAAAAAAAAAAAAAAAAAA
    AACCTGAAAACAGACCAAAAAAAAAAACCACACACACGCAAAG
    ATAGATGGTTTGCATATGGTAAATTCTCTTTATGGTACACAGTT
    CTGTGAATTTTTGACACACGCATGCAGTTG
    1622 HIF3A 3836731 TGCACCCGGCCCATGTTGTGGTTTATATCAGTAGTTCCTTTGT
    AAATAGTGAACAGTATTCCATGGTATGAATAGAGCACAGGTTT
    TTTTTTTATCCATTCACCAGTTAGAAGACATTGGGCTGTTTCCA
    AGTTTGGGTGATTACAAAAAAACAGCTACTGTAAACATTCTCAT
    ACAAGATTTTATGAGATCACATGTTTTCATTTCTCTTGGGTAAA
    CAGCTAGGATTGGAATGGATGGGTTATATAGTAAGTGTATATT
    TAATCTAAGAAACTGCCATGGCTGGGCACAGTGGCTCACGCC
    TGTAATCCCAGCACTTTGGGAAGCCAAGGAAGGAGGATGACT
    AGAGCCTCTGAGGTGAAGACCAGCCTGGGCAAAGTGGTTAAG
    ACTCAACCGC
    1623 HIF3A 3836732 GACAGAGTTTTGCCCTTGTCACTCAG
    1624 HIF3A 3836733 TGAAACCCTTATAGGAGACAAATAAATGTGGGCAATTATTTTCT
    GCAAAATGCCCTCCAAGCCCCTGGGCGCCATTGCCTTCTGTA
    ATAGGACATCACC
    1625 HIF3A 3836734 AAGAGACCGGAGTGGTGCTGTCCCTGGAGCAAACGGAGCAA
    CACTCTCGCAGACCCATTCAGCGGGGCGCCCCCTCTCAGAAG
    GACA
    1626 HIF3A 3836735 CCCGGATCCTTGCCTTCCTGCACCCGCCTTCCCTGAGCGAGG
    CTGCCCTGGCCGCTGACCCCCGCCGTTTCTGCAGCCCTGACC
    TCCGTCGCCTCCTGGGACCCATCCTGGATGGGGCTTCAGTAG
    CAGCC
    1627 HIF3A 3836736 TGCTCTCCTAATAATGCAACAATCGTCAACACAGAAGAAGACT
    TCTGTGACCAAATGTGGGCAGTTTTTCCCACACACCAAGCAGC
    GGACACCAGCTGGGTGTCCTCCAATTCAATTCCGGCATCATCT
    A
    1628 HIF3A 3836737 CCAGATGAACTACCTGTGGGCACCGAGAATGTGCACAGACTC
    TTCACCTCCGGGAAAGACACTGAGG
    1629 HIF3A 3836738 CAAACTCTCAGTCAGGGCTACAGTCATCTGGGGTTAGAGGGT
    TTTCTTCCAAGCTCACACACATGAGGTTGTTGGCAGGCCTCAA
    TCCCTCACTTTGCTTTGGCTGGAGGCCTCAGTTCCTCATCACG
    TGAACCTCTACATAGACTCCCTAAGTGTCCTCACAACATGGCA
    GTTGGCTTCCCTAAGGCAAA
    1630 HIF3A 3836739 CCAGCTCAACGCCAGCGAGCAGCTACCCAGGGCCTACCACA
    GACCTCTGGGGGCTGTCCCCCGGCCCCGTGCTCGGAGCTTC
    CATG
    1631 HIF3A 3836740 CCAGAGCTCAGAGGACGAGGACGAGGGAGTGGAGCTGCTGG
    GA
    1632 HIF3A 3836741 CAGCCCAGAACACGAAAACTTTCTGCTC
    1633 HIF3A 3836742 GGGATTCTCTGGCCCTCATTACCTAGCTGGCTTAAACCTACTG
    TTTTATA
    1634 HIF3A 3836743 CTGGTTGAGGGTCATACAGAAAGTCAGTGGGCCAGCTGAGAC
    TAAAGCCTGATCT
    1635 HIF3A 3836744 GTCCTCGGGCGAAGGAAGAAGGAGAAGGGGGATGAGGCCCT
    GGAGGAACACAA
    1636 HIF3A 3836745 AGTTTCCTTCTGACAGGAGGACCAGCCCCAGG
    1637 HIF3A 3836746 AGCACCCCACTCCTGAACCTGAATGAGCCCCTGG
    1638 HIF3A 3836747 AAGTGTAACGGGGAAATAATGCATGCAAGGAAAAAGGTTTGG
    AGTAGGGGGATTTCAGTTTTAAACAGTATGATCAGGGTGGTTT
    CATTGAGAAGGT
    1639 HIF3A 3836748 AGTGCGCTTCATTACGTCTGGCTAATTTTTTAATTTCTGTAGAG
    AAAGAGGTCTTGCTATGTTGCTCAGGCTGGTCTCAAACTCCTG
    GGCTCAAGTGATCCTCCTGCCTCAGCCTTCCAAAGTGCTGAG
    ATTGTGCCTGGCTGTCTCTGTCTTCTTTGGGGAAAAGCAAGGC
    CAATGTAGCTGAAGCAGAGAGGAGAGAAAGGTGAGGGCTGAC
    TGCATGGAGCCTCTGTGGGGCATTGTGATGGCTTTGAAGTCA
    CCTTGCTTGAGGAGGCTGCCTCAGGGCCTTTGCATATCCTGAT
    CCTTCTGCCTGGCATACTTTTCCCTCTGTTCTTTGCCATGTTAC
    CACATCCTTTAGATCTCAAACCAAATATTACTCCTTACACAAAG
    CCCTGCCTAACTTCATACGCTCATGGTTTATAACACTCCATAAT
    TACACAGGCCTTTGTGTCATAATTTGATGACTGTCTGTCTTCTC
    CTTTGGGTATGAGACCTTCAAGGGCAGGGGCCAGGGCTGTCT
    GGGTCCCTGCTGTTCTCTTCTTTGTGCACATGGGTGGGCGGT
    GGCTAAGCACAGAGGAAGTTCTCAGCACATATTTGTGAATGAG
    GAGCTAAGATTCACGCACTCGCACTGTGCCTAGCTTTGTGCTA
    AATCCTCTATGCACCTGATCCAATTGGCGCTTCTCACTGGAGT
    GTCGGTCCCATA
    1640 HIF3A 3836749 GTTTTCACTTTGTCACCCAGTCTGG
    1641 HIF3A 3836750 ACCACCACGCCCGACAGTAAATATGTTTTGAA
    1642 HIF3A 3836751 CACAGCAAGTAAATAGCAATGCCTGGATTCAAACTAGGGCAG
    CATCTGACTCTGGACTCGGGTTCTTCACCGCAGCCCTGAACA
    CCCCAGAGAGGTTCAGAGAGCAGAACGTGCCCAAGACGTCAC
    TGCCGTTTGAATCCAGACAGGCTTGCCTCACCACCCAGG
    1643 HIF3A 3836752 CTCACTGCTCTCTCCGTACTCAGACGAGGAC
    1644 HIF3A 3836753 TGGTCTCAGCTCAGTGACCTCTGGGAGGTGGTCCCTGGCCCC
    CTCCTCCTTCTCTCAGGATTTCTCTTGGGGTTCTCAATACTTGG
    TTACCTCATTATCCCTTTCTCTGCCTCTCTTGGCTTTATTTTGG
    GGAATCAGGGGTGAGGAGGGTTGGGGGGGTCATATCTGTGTT
    TCCAGGTTCTGGGGAGAACAATGATCCACGGGTCAACGTGAT
    CACATTTC
    1645 HIF3A 3836754 CCAGTGACTTCCGATTGAGGCCAAAGACCCCAAGCTGCCCGC
    CAGCTCTGACTGCCCCTTGCGCTCTGGGCTTCCTGCCGCCCC
    CAGCTTTGCCTGGACACTGA
    1646 HIF3A 3836755 TGACCTGCACTGGTTCTAGACCACACAACCTCCAATGTGGTCT
    GCTTTAGATCACCTTCTTCTTCTTCCTTCTTCCTCTTCCTCTTC
    CTCCTGCTCCTCTTCCTCTTCTTCTTCTTTTTTTTTTTTGACAGA
    GTCTTGCTCTGTCACCCAGGCTGGAGTGCAGTGGCGCGATTT
    CAGCTTACTGCAGCCTCCGCGCCCTGGGTTCAAGTGATTCTC
    CTGCCTCAACTTCCCAAATAGCCGGGACTACGGGCATGTGCC
    ACATTGCCCGGCTAATTTTTGTATTTTTAGTAGAGATGGGGTTT
    CACCACGTTGTCCAGTCTGGTCTCGAACTCCTGACCTCAAGTG
    CTCCACCTGCCTCAGCCTTCCAAAGTGCTGGGATTACAGGCG
    TGAGCCACTGCACCCGGCTAGAACTCACTTTCTCCAAATCCCT
    CTGCTTCGAATTTCACCGTCTTCAGCTCTTTCTAGTTCTGGGC
    CTCACCAGCCTCTCATTCTGCCTGTTTTCAAACCTTACGATCC
    CCAAAAATTGTCTGGTTCTGGGCCTCTA
    1647 HIF3A 3836756 CCGGTTCCAGATCTTATATTCAGTGATTTCCTCTGGTTCTGGA
    CCCCACAACTCCAAGCTTCCTATTGGTTCCAGTTCTCCTGATC
    GGTAATACATTTGGTTCCAAATCCAGACCTCTTAATCTCTCTCT
    TTTTTTTTTTTTTTTTTTGAGACAGAGTCCCACTCTGTCACCCA
    GGCTGGAGTACAGTGGCTCAATCTCGGCTCACTGCAGCCTCC
    ACCTCCTGGGTTCAAGCAATTCTTGGGCCTCAGCCTCCCAAAT
    AGCTGGGATTACAGGCATGTGCCACCACGCCCAGCTAAGTTT
    TATATTTTTAGTAGAGACAGTGTTTCACCATGTTGGCCAGGCT
    GGTCTTGAACTCCCGACCTCAACTGATCCACCCGCCTCAGCC
    TCCCAAAGTGCTGAAATTACAGGAGTGAGCCTGGCCAGACTT
    CTTAATTTCTAAATCACTTTTGTTTTAGACCTTATGAGGCTCAG
    CTTATTCTTCTGCAGTTCTCTATAACCAAGACTCATTTTCTCTC
    ATCAAAAACAAGTACAGAGAGTTTGATGTGTTTATCTCTTTTTT
    CTTCCTCTTCTTTTTTTTTTTTTTCTTTTTTGAGATGGAGTCTCT
    CTCTGTTGCCCAGGCTGGAGTATAATGGTGCCATCTAGGCTCA
    CTGCAACCTCCGCCTCCTGATTCAAGTGATTCTCCTGCCTCAG
    CCTCCTAAATTGGTGGGATTACAGGAGCCCACCACCACATCC
    GGCTACCTTTGTGTATTTTTTAGTAGAGACGGGGTTTTGCCAA
    GTTGGAGGGGCTGGTCTTGAACTCTTGACCTCAGATGATCCA
    CCCGCCTCAGCCTCCCAAAGTGCTGGGATTACAGGCATAAGC
    CACCGTGCCCGACCCTGTCCTTATCTTATAATAACCAGTTCTT
    CTAGAACCAGACGATGCTCTAGTTCTCCTAGATTCTGAACCTC
    ATGACCTGTACCACTCACTAGTTCCAGACTACACAACTTCTAG
    AAGGTGCCACCTCCAGGGTCCTGATTCAAGATCTGGTGATCT
    GCTGTTTCTCTGGTTCTAGAACTGACTTACAAGTGCCTTCTGAT
    TCTAGACCTCATTCCGTAAGTTCCCTTG
    1648 HIF3A 3836757 CCCAGCCTCCTAAATCTATTCTGGGCTTCCC
    1649 HIF3A 3836758 CACTGAACTTACCCAATTCCTTCTTTCAGTCTTAAGTTTTCCCA
    TTCTAAACCCCTACCCTCTAGGCTGTGCTGCTCCTGGACTTCA
    TGCCTCTCCATTCTCATTGCCTACAATCTCTGTGCCCCAGAAC
    CCCCTCCACTTCCCACCCCAGCCCTCCAGACATGCACTTACCT
    TGACTTTACCCCACATGTTTGGGGCACCTGGGGC
    1650 HIF3A 3836759 AGCTGTCTGCCACCATCTATGTGCCTCCCTTACCCCCCAGCTT
    TCTTTCTACAGATGGTGCTACTCTTGGTCTCCCACAGGAAAAG
    GCCTCCCCCCTTCTTAGCCCCATTTACCCCGTTTGTGGAAGGC
    ACTGCTCGCTCTGTTTTGTCAGAGAGTGGCCTATCCAGATTGG
    TGCTA
    1651 TPX2 3881448 TCCTCCCGGAGTTTGGAACGGCTGAAGTTCACCTTCCAGCCC
    CTAGCGCCGTTCGCGCCGCTAGGCCTGGCTTCTGAGGCGGTT
    GCGGTGCTCGGTCGCCGCCTAGGCGGGGCAGGGTGCGAGCA
    GGGGCTTCGGGCCACGCTTCTCTTGGCGACAGGATTTTGCTG
    TGAAGTCCGTCCGGGAAACGGAGGAAAAAAAGAGTTGCGGGA
    GGCTGTCGGCTAATAAC
    1652 TPX2 3881449 ATGCCCTCAGGAAGTGTGGCGTTTGATGGAGGAAAACAGA
    1653 TPX2 3881450 TGAGGGAGTTCAAGAGCCAGTTTGTGTTTCTGTGCTTCACAAA
    GCCACCCTTGTCTAATTCTTGA
    1654 TPX2 3881451 TGATACATATTTGCCAGACTTCAAGATTTCAGAAAAGGGGTGA
    AAGAGAAGATTGCAACTTTGAGTCAGACCTGTAGGCCTGATAG
    ACTGATTAAACC
    1655 TPX2 3881452 GAGTGTGCACTTCAGTGGCGTGATC
    1656 TPX2 3881453 CATTTGGGTAAGTTAATAGTCAATTTATAGGCCACGTAAATGG
    GAAGGATTATTTCCTTAAATCAAGAGATTAGACAATCATTGCTT
    GTCATGAATATTTAATAAAAATTTGAGAAAGCTCAGTTTCTTTT
    GGGCTGCAAACATAGATCTAGGGAAATAAATACTGCTTAACTA
    TTTTGTTG
    1657 TPX2 3881454 AAGGTGACCTGCTGAGAAAAGTGGTACAAATACTGGGAAAAA
    CCTGCTCTTCTGC
    1658 TPX2 3881455 CACAAGTTAAAAGCTCTTATTCCTATGATGCCCCCTCGGATTTC
    ATCAATTTTTCATCCTTGGATGATGAAGGAGATACTCAAAACAT
    AGATT
    1659 TPX2 3881456 TACTGGTAGGGAGCTTTAGTTTGCATTTTAAATGCGTGATAGT
    GATTTGTTTTGCTTCCTTGCTGATCAGACAATGATGATCTTCCC
    TTTTCACAG
    1660 TPX2 3881457 GGAACTGGAGGGCTTTTTCAGGGCAAAACTCCTTTGAGAAAG
    GCTAATCTTCAGCAAGCTATTGTCACACCTTTGAAAC
    1661 TPX2 3881458 GACAACACTTACTACAAAGAGGCAGAAAAAGAAAATCTTGTGG
    AACAATCCATTCCGTCAAATGCTTGTTCTTCCCTGGAAGTTGA
    GGCAGCCATATCAAGAAAA
    1662 TPX2 3881459 CAAGAGATGTGCCACTCCTGTAATCATCGATGAAAT
    1663 TPX2 3881460 CCTTGTATACCACTTGTAAGTTTCTTTTCTGAATTTACACTTTAG
    ATTGAATAGATTAAAATTAAAAATGGTACATCTGTAATATGTTT
    GGTGTACCTCAA
    1664 TPX2 3881461 TCCATATGCAGTAGATTTGGGGAGGAGGGTACAGGCTATGCT
    TCAGGGAATTGAAAAC
    1665 TPX2 3881462 AGAAGGCAGTGCTCATCAAGATACTGCTGAAAAGAATGCATCT
    TCCCCAGAGAAAGCCAAGGGTAGACATACTGTGCCTTGTATG
    CCACCTG
    1666 TPX2 3881463 GAGAAGAGTATGAAAATGCAGCAAGAGGTGG
    1667 TPX2 3881464 ATCAGTGAGCCAGGTCACCAAATCAGTTGACTTCCACTTCCGC
    ACAGATGAGCGAATCAAACAACATCCTAAGAACCAGGAGGAAT
    ATAAGGAAGTGAACTTTACATCTGAACTACGAAAGCATCCTTC
    1668 TPX2 3881465 GGTTGGGGCAGACCAGTCAAATCTCATGCAGTTTTGTTACCAG
    AGCACCAACAAAATCAGTAATAATCGTTAAGTAAAAATGCTAGT
    ACTAATAATCTCCACTTGCATTTGTAGTCAGTATCATCATTTTTT
    GAAATTAGTTATTTGCATTCTTAAACCCTGAGGTTATGCTTCTT
    TCTTTGAGATACAGGTCCTTGAAGGGTTTTGCTTCCAATTAGA
    GACCAGTTTTATCAAAATTACTGGTCCAAGGAATAGGAATAGG
    CTTCTTCATCAGTCTC
    1669 TPX2 3881466 CTCTGTGCCGAATATGTGGCTTATGGTAGATGTGAGCTCTTCC
    GTGACATTTCATT
    1670 TPX2 3881467 GCCCGAGTGACTAAGGGATGTACCATTGTTAAGCCTTTCAACC
    TGTCCCAAGGAAAGAAAAGAACATTTGATGAAACAGTTTCTAC
    ATATGTGCCCCTTGCACAGCAAGTTGAAGACTTCC
    1671 TPX2 3881468 ATGGCTCACTTCAGTGTCCAACTCCTGGGCT
    1672 TPX2 3881469 TGAATCACCACTTACAAGTAAACTGGGTCTTGCGGATCTAGAT
    GAACATCTGTC
    1673 TPX2 3881470 CTGTTACCCTCCAAATCTTCTGTGACCAAGATTTGCAGAGACC
    CACAGACTCCTGTACTGCAAACCAAACACCGTGCACGGGCTG
    TGACCTGCAAAAGTACAGCAGAGCTGGAGGCTGAGGAGCTCG
    AGAAATTGCAACA
    1674 TPX2 3881471 GTAAGTCCCACTGGCAGTATCTGAG
    1675 TPX2 3881472 CTTGATCCCAGAATACTTGAAGGTGGGCCCATCTTGCCCAAGA
    AACCACCTGTGAAACCACCCACCGAGCCTATTGGCTTTGATTT
    GGAAATTGAGAAAAGAATCCAGGAGCGAGAATCAAAGAAGAA
    AACAGAGGATGAACACTTTGAATTTCATTCCAGACCTTGCCCT
    ACTAAGATTTTG
    1676 TPX2 3881473 CACCTGTTTCAGATGAGGTAACCGAGGCACACAGAGGTTATG
    TAGTATTCCTAGAGCACTCAGCTAGTACATGGTGGAGCAAGTA
    AGAGTTCAGACACTCTAGCTACAGAGTCTGTGATCCTAATACC
    TCATTATATGCCTCTCCATTACATGATAGAATTTTGACTTGCAG
    AAATGCAAATGGACTGGATTGGCAGAACATTCCAGGCAGTAG
    GAATTACATGATAAAAAGCCTGACGGTGGGAAACAAGAAGCTT
    CTACTGGGAGCTGTTAGTGGGTCAGTTAAGCTGGAGAAAAGT
    TTATCAAGAGCCACTGGAAACTGTTTCAGAGAAGTGAGTTGTA
    GTTTGATAATAGGCTCACAACCACAAGTTTAGAGAAAATGTGC
    AATCAGGAAGCAAGGCTACAGTCAGAGAATAAGCAATGGAGT
    TAAGCACCTGCATAAATGCGAAAGCGGCTTTTAGTTACATTTC
    AGTG
    1677 TPX2 3881474 ACAGGGACCGTGTGTATCTATATTATTCACTCTGTATCCCTAG
    CCCCTAGCATAGTGACCACCACAGCACAAGCACTCTGATATC
    GGATAACTGAGTGAGTAATAGTAGAAGCTGACATGCACCTAGA
    CACTAGGAATTCAAAGATGGTATAAGACACGGCCCTTGTCCTC
    AAAGCTTTCATAGTCTGGTAGAGCATATAGATGTGTAAATGAG
    TAAATATGGTAATATTAACCAACATATGTTCATTGAACAGTTAC
    TACGGGGTCTTCTA
    1678 TPX2 3881475 AGTGGAGATCATTTTGTGATATCTAATTGAGTTGCTTACTCCTT
    TCAG
    1679 TPX2 3881476 TGTTCCTGAAAAGAAGGTACTTCCAATCACC
    1680 TPX2 3881477 CATTGAAGAACAGAATTCGAATGCCCACCAAAGA
    1681 TPX2 3881478 GACGAACCGGTAGTGATAAAAGCTCAACCTGTGCCACATTATG
    GGGTGCCTTTTAAGCCCCAAATCCCAGAGGCAAGAACTGTGG
    AAATATGCCCTTTCTCGTTTGATTCTCGAGACAAAGAACGTCA
    GTTA
    1682 TPX2 3881479 GTGCCCAAGTTCAAGGCACTTCCCTTGCCTCATTTTGACACCA
    TTAACCTGCCAGAGAAGAAGGTAAAGAATGTGACCCAGATTGA
    ACCTTTCTGCTTGGAGACTGACAG
    1683 TPX2 3881480 GTAGGGGATGGGGAGAGCAGCCAAAATGTTAATTGCTTG
    1684 TPX2 3881481 TTGGAGGTGGGAAGAATACTTTATAGGTGATACTGTATAGTTC
    CTAATGAATCATGTGTGAAGGCAGAAAATGTCTAGTTGTTTATT
    TTTATGATATAAAGATAGGTCTTAAAAGTACCTTTAAAATTTTTT
    GTTTTTTTTAATTGACAAATAATAGTTGTACATATTCTTGGGGTA
    CATAGTGATGTTTCAATATGTATAATGTGTAATGATCTGATCAG
    GGTAATTAGCATATCCATAATCTCAAACATTTATCATTTCTTTGT
    GTTTGGAATCTTTTTTTTTTTAATTTAAAAGTAAACTTTAGCACA
    CCAACATG
    1685 TPX2 3881482 CTTGTTTCAAGGCTCGTCCAAACACCGTCATCTCTCAGGAG
    1686 TPX2 3881483 TTCAGGAACCTTTTCAGCTGGCTACTGAGAAGAGAGCCAAAGA
    GCGGCAGGAGCTGGAGAAGAGAATGGCTGAGGTAGAAGCCC
    AGAAAGCCCAGCAGTTGGAGGAGGCCAGACTACAGGAGGAA
    GAG
    1687 TPX2 3881484 TGGGAGCATGAGCACTGACGAACACAAACATGCCTCTG
    1688 TPX2 3881485 AACCATGATGCCTTTCCTAGGACTGTTTTTTATTTATTTGTTTAT
    TTTATTTATGTAACTTATTATTTCCTCTGGGGTTAAGAAGCACC
    ACTGAGTTTTGTAATTAGACAAGAATACATAGCGAAGGACATG
    GGAATTAAATGGCAACTGTATTTTTGTTTTAATACTGAGCCCAA
    ACTCCTTGGAGTTACAGTGTTCGTCGCTCCAGGTAATCCTCTA
    CTAACATAATTATTTAGATGTTGGTTATCCAAAAAGAAACCTGA
    ACTCCACATTAAGGACCAATCTGCTAGGAGGGC
    1689 TPX2 3881486 TGTACTCTGGGAAATTCTTAGCTTGTAACTTCTCTGCTATACTT
    GAGTACAGCCCTATTATACCCTAGTAAATCACACAGGACATAG
    GTTTGGCATTCTTTAGTGAAAGCTGAGGGACTTGAGGAGACTG
    TGGCCTAAAGGAAAGCTGGGGGACCCAATAGAGACCTGAATA
    GAAACCCTTTTGGGCTCCAAAGCACATACACTTTTCCATCATA
    CCGTGTTGCCCCCCAGGCCCCACTCCCCACACCTGAAACTAG
    TGACTGGGACCTGTA
    1690 TPX2 3881487 GTGCATAAGGCAAATCCAATACGCAAGTACCAGGGTCTGGAG
    ATAAAGTCAAGTGACCAGCCTCTGACTGTG
    1691 TPX2 3881488 CCAAATTCTCCACTCGATTCCACTGCTAA
    1692 TPX2 3881489 TCAGCTGTGAGCTGCGGATACCGCCCGGCAATGGGACCTGCT
    CTTAACCTCAAACCTAGGACCGTCTTGCTTTGTCATTGGGCAT
    GGAGAGAACCCATTTCTCCAGACTTTTACCTACCCGTGCCTGA
    GA
    1693 TPX2 3881490 CAGAAAATAAAGATAGTTAAATCCT
    1694 TPX2 3881491 GTCCTCTTCTCTGCATACCGTGAATTTATAGTTAAGGATCCCTT
    TGCTGTGAGGGTAGAAAACCTCACCAACTGCACCAGTGAGGA
    AGAAGACTGCGTGGATTCATGGGGAGCCTCACAGCAGCCACG
    CAGCAGGCTCTGGGTGGGGCTGCCGTTAAGGCACGTTCTTTC
    1695 TPX2 3881492 GGAACCGTGCAGTGTGCATTTTAAGACC
    1696 TPX2 3881493 TGGCCTGGAATAAATACGTTTTGTC
    1697 TPX2 3881499 ATGGAGTTTCACCATTTTGGCCAGGCTGGTCTCGAACTCCTGA
    CCTCAGGTGATCTACCTGCCTCGGCCTCTGAAA
    1698 TPX2 3881500 GTGCTCTGAAACCTACTTTGCCTGATATTAATATAGCCACTCTA
    GTTTTCTTTTGATTGGTTTTAGCATGGTATGTCTATATTTAAAGT
    GCATTTTTTTGTAGACAGCATATAATTGGGTCTTGCTTTATTATT
    TAATATTATTGTTGCTGCATTTTAATTGGAATAAATGCATCTATT
    TTAGCCTTGACATGCTATGCTATTATTTTGTGTGTGCGTGTGAG
    TCTCTCTGCCCCAAAAATATTTCTTTAGGAGATGAACCAAATGA
    TTGTTCTCTGAAATGAATAATGCCTAAACTATGTTTTCATGGCC
    TATCTTTTCTTCCCTGTCATCTTGTTGCAGTTTAATTCCTTTATC
    AGGAGTCAGTTCATATGCTATGTGATTAAGTGCTGTTTCTTCCA
    TG
    1699 WFDC2 3886939 TAAATCCCCGCACCTGAGCATCGGCTCACA
    1700 WFDC2 3886940 ATGCCTGCTTGTCGCCTAGGCCCGCTAGCCGCCGCCCTCC
    1701 WFDC2 3886941 CTGCTGCTGTTCGGCTTCACCCTAGTCTCAG
    1702 WFDC2 3886942 CCAGGCTGACCAGAACTGCACGCAAGAGTGCGTCTCGGACAG
    CGAATGCGCCGACAACCTCAAGTGCTGCAGCGCGGGCTGTG
    CCACCTTCT
    1703 WFDC2 3886943 GGCGGGGCCGCGCTGGGCTGGGAGGAG
    1704 WFDC2 3886944 GCAGTTTCCTTCTCGAACCGGCCGAAGCCTGCCCTGCGGGAA
    AGCCCGGAGCCTGGGGCGCTCACCTCTCCTCTTGGAGTCCCT
    CCCTGGGGGCCTCCCCCAGCCCTGGGGAAAGACTGGGAGAG
    CCTGGCCTGGCAAGATTTTCCCCAATTCCTCTGTCCAGGCGG
    AAAGGAACTTTACAGATTTAGGAAAATGCCCCGCTCATCTTAA
    AGATGTGTAAGGGAGCATCGGTGAGAAAAAAATGTTCTTGCCC
    AAGGTCACACCGCCATCCCATGGCTGCTGGAGTCATAGTGAG
    GGTTCA
    1705 WFDC2 3886945 CTGGACACTGTATCGCCCTTCGTCGTCTTTCAGTCAATCTCTT
    CCACTCTAAGGATTGAGTGAGCGCGAGCTGGGGACTCTCTCA
    AAG
    1706 WFDC2 3886946 GCAGTCTCCACCAGGCTATCAGAACAGGGGGTGGCTTAAAC
    1707 WFDC2 3886947 CTTTATCCAGAATACAGCCCCTGTGACTTTT
    1708 WFDC2 3886948 TACGGTGACCCAAGACACCGATCAGCAGGGAGGTG
    1709 WFDC2 3886949 AGATTTGGAGAGAAAGCAGGCAGCAGCCAGATGAGAGAGGTG
    GAGGAGCAAAGGAGGGAGTCTTTGCTGTTTGATGGATGA
    1710 WFDC2 3886950 ATCAGGTGGCTGTAGATGTGTAGTGT
    1711 WFDC2 3886951 GTATCTGCTCCAGAGTGCACTATTCCTCACGGCACAGTCCCTC
    ATGGCTTCCCTTGGCTAGGGGAGGGAGTTCCCTGACCTCTTG
    TGCTTCCCAGGTGAGATGATGCCCTACCCTACTTCTGCTCGCC
    1712 WFDC2 3886952 AACCATGATGTACCTCAGTTGATGAATGGATTTGGCTGGGCCT
    GGCTCCCCTCTATCTAACCTGGGAAGTGGAGTGTGATTGTGT
    GTGTGTTTGTTAGTGGAAGGACGTGTGGTTTCTCTCTGCATGG
    ATGAATGAGTGTATTTGGAGGGTCATGGTGCTGAGAGACTGC
    AACTGGGATTCGGTCTGTGGGTATGAGTGAAGATTATAAGTGT
    GTAACCCCTCACATGTGTACTGTACTTTACACTTTAAGTGGCA
    GCATAGTGCTTAACCATGGCAGCAGCAGTTAACACATAGACTC
    TGCAGCTAGATTTCTTGGGGTTC
    1713 WFDC2 3886953 TTAGGGGCTTGATACCTGGCATGTAATAAGAGCTAATTAAGTG
    TTCACTGTTATAATTTCTCATAACTACAGAGTAGT
    1714 WFDC2 3886954 TGGCACCTAAAGACACGGAGGCTCTGGGAGATTTCTGGCCCT
    AGGCCACGAAGGCCCACTTGGGACTCAAGCT
    1715 WFDC2 3886955 GGTCCTGTGATTCCATTTGGGAGCAGGAGGAGGGATTTGCAG
    1716 WFDC2 3886956 CTCAGGTGCCCAAGATGGACTCAGGCAGGCAGCTCTGCTGTA
    TGTGAAGCCCAGTGAGG
    1717 WFDC2 3886957 ATGCTGCAGGTACAAGTTAATCTCCCTGTATCGCCTCTGCCCA
    CTTACCCT
    1718 WFDC2 3886958 GTGAACATTAACTTTCCCCAGCTCGGCCTCTGTCGGGACCAGT
    GCCAGGTGGACAGCCAGTGTCCTGGCCAGATGAAATGCTGCC
    GCAATGGCTGTGGGAAGGTGT
    1719 WFDC2 3886959 GCCTAGTCTAATGGATATTGTTGTTGATGGTATTGTTATAATTT
    TCT
    1720 WFDC2 3886960 CCACCACCAGGCTGAGCAGTGAGGAGAGAAAGTTTCTGCCTG
    GCCCTGCATCTGGTTCCAGCCCACCTGC
    1721 WFDC2 3886961 CCCTCTTGGGCTGACCACAGCTTCTCCC
    1722 FMO5 3928073 GTGGGAAGAAAGACTGGGATGATGACCAAAA
    1723 FMO5 3928077 GAAAACTCTGGAGTTAAGGCCAATGAAGTAATCTCTAAACTTT
    ATGCAGTAC
    1724 FMO5 3928078 AATTGAATTAGCCAAACAGATCACATCA
    1725 FMO5 3928079 GGCTCTACAGACAATCTGATGGATGA
    1726 FMO5 3928081 GAGATACTCAGGTGGTGGTTTTTAA
    1727 FMO5 3928085 CTATTGCTGATACTGGTGCAAATGTCGTAGTAACAGGTGGCAA
    AGTGGCAGACATGGCTCTTCATTA
    1728 FMO5 3928087 AAATAGCAGTGTACTCTTGTCCTTTTGATGGCATGATAACAGA
    AACTAAG
    1729 FMO5 3928089 GTTGATAACATCAGAGTTTGTAAAATTCT
    1730 FMO5 3928093 CCTGGAATTAGCTGAAGAACTTCTGA
    1731 FMO5 3928097 AGAAGAGGCTGTGTATAGAAACATACAAGCTTGCAAGGAGCTT
    GCCCAAACCACTCGTACAGCATATGGAC
    1732 PCAT14 3939348 GGTGAAGGGACTCTCGAGTGTGGTCATTGA
    1733 PCAT14 3939349 AAGGCCTCCGTCTCCTGCATGTCCTT
    1734 PCAT14 3939350 GGTACTCTACAGTGTGGTCATTGAGGACAAGTTGACGAGAGA
    GTCCCAAGTACGTCCACGGTCAGC
    1735 PCAT14 3939351 CAGCAAGGAACGGAAAGTTCACATTGTAAATATGTAGCAGAGT
    CTGTAATGGCTCAGTCAACGCAAAATGTTGACTACAGTCAATT
    ACAGGAGATAATATACCCTGAATCATCAAAATTGGGGGAAGGA
    GGTCCAGAATCATTGGGGCCATCAGAGCCTAAACCACGATC
    1736 PCAT14 3939352 CTACAATGAACTCACTGGAGATGCAAAGAAAAGTGTGGAGATG
    GAGACACCCCAATCGACTCGCCAG
    1737 PCAT14 3939353 CAGGAACGGAGACAATCGTGAAAGCTGCTGATAGCCTCACAA
    ATCTTAAGCCAGTCACTTGGGTTAAAAGCATCAGAAGTTTCAC
    TATTGTAAATTTCATA
    1738 PCAT14 3939354 ATGGGCCATAGTGACGATGGTGGTTTTGTCAAAAAGAAAAGG
    GGGGGATATGTAAGGAAAAGAGAGATCAGACTTTCACTGTGT
    CTATGTAGAAAAGGAAGACATAAGAAACTCCATTTTGATCTGTA
    CTAAGAAAAATTGTTTTGCCTTGAGATGCTGTTAATCTGTAACT
    TTAGCCCCAACCCTGTGCTCACGGAAACATGTGCTGTAAGGTT
    TAAGGGATC
    1739 PCAT14 3939356 ATTTTAGGCGCTGGACTTGGGTTCGGGGCACCTGGCCTTTCC
    TTGTGTATTTCTCCTACTGTCTGCCTAACTATTTAATACAATAAA
    AGAAAACCAGCCCCTGGTTCTTGTGGTGTTTCCACCCTCCCG
    GGTCCCCGCTGGCTGCCTGGCTTCCTCCCGCAGCTCCTGCTG
    TGTGTGTATGTGTGTGTGTGTGCACATCTGTGGGGCGTATGTG
    TGTTCGTCTTTGTAATTGAGGCTGCAGAGTGGAGAGAGCAGG
    GGTTTTCTCTGGGGACCCAGAGAGAAGGAGGCGTTTTCACCA
    CAGC
    1740 PCAT14 3939358 CCTTTGAGGGAGATCAAGTCTAAATTTGAAGGGAGTCCAAATT
    CATACTGGGGTAATTTATTCAGATTATAAAGGGGGAATTCAGT
    TAGTGATCAGCTCCACTGTTCCCCGGAGTGCCAATCCAGGTG
    ATAGAATTGCTCAATTACTGCTTTTGCCTTATGTTAAAATTGGG
    GAAAACAAAAAGGAAAGAACAGGAGGGTTTGGAAGTACCAAC
    CCTGCAGGAAAAGCTGCTTATTGGGCTAATCAGGTCTCAGAG
    GATAGACCCGTGTGTACAGTCACTATTCAGGGAAAGAGTTTGA
    AGGATTAGTGGATACCCAGGCTGATGTTTCTGTCATCGGCATA
    GGTACTGCCTCAG
    1741 PCAT14 3939360 CAGATGGCGTATAATGCCGTAATTCAACCCATGGGGGCTCTC
    CCACCCCGGTTGCCCTCTCCAGCCATGGTCCCCTTTAATTATA
    ATTGATCTGAAGGATTGCTTTTTTACCATTCCTCTGGCAAAACA
    GGATTTTGAAAAATTTGCTTTTACCACACCAGCCTAAATAATAA
    AGAACCAGCCACCAGGTTTCAGTGGAAAGTATTGCCTCAGGG
    AATGCTTAATAGTTCAACTATTTGTCAGCTCAAGCTCTGCAACC
    AGTTAGAGACAAGTTTTCAGACTGTTACATCGTTCACTATGTTG
    ATATTTTGTGTGCTGCAGAAACGAGAGACAAATTAATTGACCG
    TTACACATTTCTGCAGACAGAGGTTGCCAACGCGGGACTGAC
    AATAACA
    1742 PCAT14 3939362 GGTTGCCGTCATTACAGTGTTAACAAGATTTTAATCAGTCTATT
    AACATTGTATCAGATTCTGCATATGTAGTACAGGCTACAAAGG
    ATATTGAGAGAGCCCTAATCAAATACATTATGGATGATCAGTTA
    AACCCGCTGTTTAATTTGTTACAACAAAATGTAAGAAAAAGAAA
    TTTCCCATTTTATATTACTCATATTCGAGCACACACTAATTTACC
    AGGGCCTTTAACTAAAGCAAATGAACAAGCTGACTTGCTAGTA
    TCATCTGCATTCATGGAAGCACAAGAACTTCATGCCTTGACTC
    ATGTAAATGCAATAGGATTAAAAAATAAATTTGATATCACATGG
    AAACAGACAAAAAATATTGTACAACATTGCACCCAGTGTCAGA
    TTCTACACCTGGCCACTC
    1743 PCAT14 3939364 AGGTCAGGCCGGTTCTTTGCTCTGAACCCTGTTTTCTGTTAAG
    ATGTTTATCAAGACAATACATGCACCGCTGAACATAGACCCTT
    ATCAGGAGTTTCTGATTTTGCTCTGGTCCTGTTTCTTCAGAAGC
    1744 PICK1 3945181 ATGCTGCCGGATGAGGTGGATGCCTGGCTGTGGCTCTGGGA
    GAGCCAACCTCCCCCAGGGAACCCACTTTACACAATAGCAGT
    GGCAGCAGAGGCTGGCGAGGAGACAAGATTCGGACTCTGGG
    GAGCACTGATAGCATTTCCCGAGCCTCA
    1745 PICK1 3945182 ACGCTGTCAGCCTGTCCAGACCGTTCCTCTGTTTTCGCTTGTT
    CCTACTAACAGCGAGCTTCCGCCAATACTTGTTCTCGTTCTTG
    GTTCCGAGCGTCCCGGGAGCCGGGAAGGGAAGGATTGTCTG
    CAGGGATTGGAGCAAATATCCAGTGGGGGGAAAGCCGGGAC
    TTCCGCGTCTTGCCGGAAGTGACGTGACAATCGCGGCCA
    1746 PICK1 3945183 TGGCCGGGACCCGGCTGTGGGACCAACGCTTCCG
    1747 PICK1 3945184 ACTCTGGGATCTGAGCCTATCGCCCTGGCCTGGAGC
    1748 PICK1 3945185 TTGGGTTCCTTAAATCCTATGCTCCTTTCT
    1749 PICK1 3945186 CCCTACCGAGCTGGGCAGTTAGCCAGCCCACTCCAACT
    1750 PICK1 3945187 CAGACTTGGATTATGACATCGAAGAGGATAAACT
    1751 PICK1 3945188 AAGGATGCTCAGAACCTGATCGGGATCAGCATTGGAGGAGGG
    GCCCAGTACTGTCCCTGCCTCTATATCGT
    1752 PICK1 3945189 AGCAGCCTTGGACGGCACAGTGGCAGCTGGCGATGAGATCA
    CCGGTGTCAATGGCAGGTCAATCAAAGGGAAAACTAAGGTGG
    AGGTGGCGAAGATGATTCAGGA
    1753 PICK1 3945190 CAGAGCAGGTGTCCAGAGGCAGCAACACATGTTTCTGAGA
    1754 PICK1 3945191 GAGGTGACCATCCACTACAACAAGCTGCAGGCGGACCCCAAG
    CAGGGCATGTCCCTGGACATT
    1755 PICK1 3945192 GCCCAAAGGAGAAGTGCCACAGCCAGCCCTGCCCTCCCCTTT
    ATGACAGGAGAATCCAGAGTTACATGGCTGTGGGCTCTGACC
    TCTGACCAAGCAAATCTGAAAGGCCTGGGAGGCCTCCCGGTG
    CTCTCCCTGCATCTGTTCTTGTACTCTGTC
    1756 PICK1 3945193 TGTTGAAGAAAGTCAAGCACCGGCTGGTGGAGAACATGAGTT
    CAGGGACCGCAGATGCTCTGGGCCTGAGCCGGGCCATCCTG
    TGCAA
    1757 PICK1 3945194 CTCTGCCCGTGGAACTGAGAAGTCACCATCTCTGTACCCCCA
    GAGGCCTCTCCAGCTCCCGGAGGGTCCACAGCTGTCAGCTG
    GGCTGTCTTAGCCAGTGCCCCTCAGGTCACAGATGGGAAAAT
    AGACTTAGTGTGGGGAGGTGCCTCTGCCCCTGCCCTCAGCCC
    CTTACCCCTCACCCCAGCACTCTCGCGGCCCACCTCCTGCCT
    CCTTTGTCCAGGAGGTGGTGCTGCTGCCCTTGCCTCTGCAGG
    TCCTCCCTTCGTGGTGGCTGCGCAGGCGAGGGGGGAGGCGT
    GTACATGCACATTTACACACGCATGCACACATGCGCACACACT
    TTCCCTCCCTGGGGTGGCCAGCGAAACACTCAGTCCCCCTCC
    TACCGTCGCCAGTCCGAGTTTAAAAATAGCAGCAGCTCTGCA
    GTGTGCCTGTGGGGTAGATATAAATACTTCTAGAAATTGTAGG
    CTCAGCTGGGCACACTGGGCTTTATTGGCTAA
    1758 PICK1 3945195 CTTGTCAAGAGGCTAGAGGAGCTGGAGCGGACCGCTGAGCTA
    TACAAAG
    1759 PICK1 3945196 TACGGGCCTTTTATGAGCTGTCGCAGACTCACCGGG
    1760 PICK1 3945197 CCTGCGGGGAACATCTAGATCAGCTGGTCTCTTAAGGGCCGC
    AACGATGAACAGGCCCCACCCTGTCTCCTCACACTGCCACTG
    GCAGTACACAAGGCCCTTGCTTATTTATATTTCTGACAACCTGT
    AACTCTGGGCAGGCCGACTGCAGCTGACCCCAGCTACTGCAG
    AAAATGAAGCCCAGACAAAGGAGAGGGCCACACTGCTCCCAA
    GTGGTGGAGCTGTTGTTCCAATCCAGGTGTCTAGACTCGGAC
    CAGTGTTCTGCCTCA
    1761 PICK1 3945198 CAATCCAGTTTCCTCCAGGTGTAGACTCAGCTCCTTCAGGGG
    GTTTAGACCAGCTCTCTTGGAGGTGTAGCCCCTGTGCAGACAT
    TGGCTTCCAGCCTGCCAGGCCCCCTGCCCTGCTTCTCCCCAA
    CAAACCCCTGGCTTCTCTTAGGGGGCCAAGTAGGGGCAGCCT
    TCAAGGCAAACTTGTCCTGCA
    1762 PICK1 3945199 TTTGGGGACGTGTTCTCCGTGATCGGGGTGCGGGAGCCCCA
    GCCAGCTGCGAGCGAGGCTTTTGTGAAGTTCGCCGATGCCCA
    CCGCAGCATCGAGAAGTTCGGCATTCGGCTTCTGAAAACCA
    1763 PICK1 3945200 ACTGAGTCACAGCTTGCCCTAGGCCTGGCACTAGTCTTCTCAT
    CCTTGAGAGGGACAAGGCATCAGGGAGCACCATCTGGCTCTG
    ATAGTCGAGTCCACCAACAAGGGTGACGCATCAGTGCCATTC
    ATTG
    1764 PICK1 3945201 GACGGATCTGAACACGTACCTCAACAAAGCCATCCCGGACAC
    TCGCCTCACCATCAAGAAGTACCTGGACGTGAAGTTTGAGTAC
    CTG
    1765 PICK1 3945202 CTGCTGCGCCTGCACAAAGAAGCATCTG
    1766 PICK1 3945203 GGACTCCCTGAACACCTGCGCCAGCCTCTCCTGCTGCGTGTG
    GGTGATGGGGGTGGAGCTGGGGACCTGGGGTGGGGGTAGTA
    CCACTCTGACAGCCT
    1767 PICK1 3945204 GATGGATGACGAGGAATACAGCTGCATT
    1768 PICK1 3945205 CTGGACTCTCGTTCCTGGAGATTTAGGGCCATCTTCCCAGTCC
    CGCTCGCTGGGCCTCGGGGTGCTGGGCACCCGGCCGGGAAC
    CACTCCCTCAGTCTGGGGGACTCTTGGAGGGAAATCGGATTT
    TCTTCACTCCTATGAGGCGCTTTTAAGTGTTTGATTTTTCTGCT
    GTCGGGATCCATTTCGTGGCCAGTGTTCATTGAATGTGGCAGA
    GGTTTGGGTTTGGTTTTTTCCTCTCTTCAAAGCTATCACTGAGT
    GCTTCTGAGAAACACTGAAGTCTCAGAAATGAGGTCTCAGGAA
    TGAAGAACAGCCGTGGCTTTGAAAGCACA
    1769 PICK1 3945206 GGCGAGCCCCTTTACCGGGTGAGCACCGGCAACTATGAGTAC
    CGCCTGATCCTGCGCTGCCGCCAGGAGGCGCGCGCCCGCTT
    CTCCCAGATGCGCAAGGATG
    1770 PICK1 3945207 GCCTCGTGTCCACCATGTCCAAGTACTACAACGACTGCTACGC
    AGTGCTGCGGGATGCCGACGTCTTCCCCATCGA
    1771 PICK1 3945208 GTAGACCTGGCGCACACCACATTGGCCTATGGCCTCAACCAG
    G
    1772 PICK1 3945209 GTTCACAGATGGGGAGGAGGAGGAGGA
    1773 PICK1 3945210 TGGGGAGCCGTCCAGGGATACACGAGGGGCTGCTGGGC
    1774 PICK1 3945211 GTGCCCCGCGGCTGTGGTGCCGGGGGCAGG
    1775 PICK1 3945212 GCGACGCATAAAGGCCTGCTGGCTTGGGGCGCCTGCCTCCCT
    GCTCCTCTGTCCTCGCACAGCGAACCTGGGCTCCTGCCCAGG
    ACAGGCACCAGGGTCATGGCCTGGGACCTGGACACTGGCCC
    CTCCACCCTCCCTCCCCTCCCGGCTCCCCGGCCAGAGGGAG
    AGCTTGGTCTCTGGACCTGCCTTAGGAAGGAGAGGGAGGGCA
    GGAAGGAAAAGAAAGGACTTGGAGGTGGCAGGAGTCCGAGC
    CCTGCTCCTTGTGGGCGCTCACACTGCCCCCGGAGCCTGCTG
    GGAGTGGGGCCAGCCGTGGACAGCTGAGGTTGGGGTCAATG
    CCTCCTGGGCACCCTTGCCTCGCCCCAGACCGGCCCGTCCA
    GTCCCCATCACACCTCGGCGGCCTTTATTTA
    1776 PICK1 3945213 TGGGTTCTGGGCCTGTATCGAATAAACACAAACCTG
    1777 FTH1P8 3994182 CTCAGAGGCGGCCATCAACCGCCAGATCAA
    1778 FTH1P8 3994183 GTCTTACTACTTTGACCACGATGATGTGGCTTTGAAGAACTTT
    GCCAAATACTTTCTTCACCAATCTCATGAGGAGAGGGAACATG
    CTGAGGAACTGATGAAG
    1779 FTH1P8 3994184 CTGGGAGCGGGCTGAATGAGATGGAG
    1780 VBP1 3996816 CGCAGCCAATCAGCACCTAGAGGTTGGGCTACTTTCGGCCAA
    AGGAGAACGGGGACTTGTGGGGGACGCTCCCTGCGCACCAA
    TGAATGTGCATGGAGATGGAGAGGCGGGCCTGCAAGTGCGA
    ACAAGCCAATC
    1781 VBP1 3996817 CGGCCGTTAAGGACAGTTGTGGCAAAGGAGAAATGGCCACAG
    GGAATGGGCGGCGGCTCCACCTGGGGATTCCTGAGGCCGTG
    TTT
    1782 VBP1 3996818 TGGCCTCTAAATAGACCAGGGTCTGAATCCTGGCTCTGCTTCC
    CAGTTGCTGCTTAACCTTAAGCATATTATTTTACCACTTTGAGC
    TTGAGTTTCTTTAACTGAAATAGGGATGACAATACTTAGAGAGT
    TGTTATGGGAAACAGAGAACATGCTTGCAGTATTGCAGTGTAG
    TAGGTGTCGAATAGGTATTAATATTCATGATGATAGGAAGCAA
    TATACCATAGTGGTTAGAAGTCAGACCCAGTCCATTCCCCAAC
    CCCGCTGAGGCAGTAATTTGTTTTC
    1783 VBP1 3996819 CAGTATTAAAGAAGCTGGATGAACAGTACCAGAAGTATAAGTT
    TATGGAACTCAACCTTGCTCAAAAGAAA
    1784 VBP1 3996820 GCTAAAAGGTCAGATTCCTGAAATTAAACAGACTTTGGAAATT
    CTAAAATACATGCAGAAGAAAA
    1785 VBP1 3996821 GAGTCCACCAACTCAATGGAGACCAGATTCTTGCTGGCAGATA
    ACCTGTATTGCAAAGCTTCAGTTCCTCCTACCGATAAAATGTGT
    CTG
    1786 VBP1 3996822 TGCATATGTTCTTCCTGTCCTTACACATTCTTTATAAGGTTGTT
    CCCACATTGTTGGAGCACAGAGCCATTATATACTGTTTGCTCT
    CTCTCTTTCTCTCTCTCATCTTTCATTTATCCTAGTTCTTCGTGT
    AAATATTG
    1787 VBP1 3996823 TTGATGAAGCTCAGGCATTGTTGGAAAAGAATTTATCGACTGC
    CACAAAGAATCTTGATTCCCTGGAGGAAGACCTTGACTTTCTT
    CGAGATCAATTTACTACCACAGA
    1788 VBP1 3996824 TCATCTGACGGGTAGTGTGGAAACTTCATCCAGCTATGAGATG
    ACGAGGGCCTAGGACGGGTGGCTTGTGGAAAGGAAAAGATAT
    TAAACGTGTGAGAAAAAAACAGGATCCAGTGACTTAGATGGGT
    ACAGGAGCCAAAAGTGAGGAAATCCTCTAAGATGAGTCCTACA
    AGCTTAGTTAAATGCCATTTGTTATTGCTAGTACTGC
    1789 VBP1 3996825 ATATGGCCAGGGTTTATAATTGGGATGTAAAAAGAAGAAACAA
    GGATGACTCTACCAAGAACAAA
    1790 VBP1 3996826 TATGGAAGCTGAATGCCGGACGCTAGCACAGTTTACTTTTTCC
    CTTTCTAATCGGCTGATGTTACTCTCACTTGATGTGGTTAAACC
    ATTTTAGAGGTAGAGAAGACAGACAGTTTGAATATTTGTAAACT
    TGTTTTTCTTTGGTATATTTAGGACTTAGTGGTCCTCTGTTGCT
    ATTGTCTTCTATAAGTGGAGTTTCATGACTTACTGCTTAACGAA
    TAACTAACTACTATGATATTCTGGACATTTTAGGAAATGGTAAT
    TTGCCTTGCTACACATTAAGAGGG
    1791 VBP1 3996827 GCCTAAGGTGATTTTGTAGTTCTTAACAGTTCTCCAGAGCATCT
    TGAACAGGAATATTAAGATAAATGTGAATCTGCAATGGCTGAA
    AAGAGTTGTGAGCTTTTTTATTCATGATAAAACCTTATAGGAAT
    AGTATAAAAAATCCCTGTGGAAAGCTACTAGTACATTGACCAG
    CGCTGGGTGATACAGATTCT
    1792 KIAA1210 4019318 GCTCTAAGCTTTGCAAGGGATCCTAAAAGAGGCGGTGGAAGT
    GAAAATTCTGGGTCTCCAAGAAAATTTCTGCACAGCCAGTTCT
    CCAATCAGCCTATCACCCCTTGAAACATCTTCCCTGTGTCCCT
    GGGGGCCCCTGATGCTTTCTCCTTGGGTGATAGTAACATGCA
    GAGCACTTACACAAAGCTCCCTCTTTGGACATACCCCACGTCG
    ACCTGTCACAGGCCTGGCTGTAGCGAGCACCTCCCTATGACG
    CAGAATGCTTCTTGGGAATTATCTTACTCCTCTGGAGGGTTAG
    TCCATCAATGTTTTGCTTCTTGTCCCAATACTACTGTGACCCTC
    TCTGATCGCACAGAAATCACTGCCTATCACATATATCCTGTTAA
    GCACTGAAGACCCTATTGAAATTAGAGTTCTACAGATGCCAAA
    AGCTGTACTTTCCATCAGGCAGATGGCAAGCTTACTGCCTTGA
    TGCACATCTGGAGCCACTGGAGCTCCTTCCTCTCTGGTTCCAG
    CATTAAGGTGGAGAACTCCATGTAGCTTCTTGTCCTTTCCCCT
    CAGCTGTCTTTGCTTCACAAGGTTTTAGCCCAAAGCAAGAGTG
    CAATCCCAAAGCCACAGAGAAATGAACTTTCCGCTACCTGGAA
    GCTTTAAGTGAGTAAATCAGCTTTTCCCCTCTCATTCCTAGAG
    GCACACACCTCAAAAGTTACTAGGCTGGAGAGACCCTACCTTC
    CAGTGACCCACTCATCCCCCAGCCACGGAGAAGAGGGAAGAC
    CAAAAAGGGAGAGTGAGAAAGAGGATGAGAGGGATGGTCAG
    CTGTGAGGGGAGGGGGCAAGTGGCCCAGCAAATGTTGATGC
    CTCCCTTCCCATCTTGCCACACGGTCTTTTTCTTTTGTAGCACA
    GCCTCCATTAATAACTCCTCGGCTGAGGATGAAGATGTAGGCA
    CCTTTACCCCCAGAGCCAGTTCCTTAATTGGCTGGCTTTCTGA
    GATGCAGACCACCCTAGAATCTCATCTAGGTTCACTAGAAGTT
    AGTTAAATCTTCCTTTCTCTGTCTTTCTCTTCATTCCATCCCCC
    AAACCCACCAAACACTAAGGGAGAGCTCCCTTTGGATGTCTG
    GGCAGTAAACCTAGCTCATT
    1793 KIAA1210 4019319 AGAAACCAAACGATCTTCAACTCTCCCAGCCAAGTTCCAGAAC
    CCAGTTGAGCCAATTGAGCCTGTCTGGTTCTCACTGGCCAGG
    AAGAAAGCCAAAGCATGGAGCCACATGGCA
    1794 KIAA1210 4019320 GATCAGAGGAAACCTGAAAGGAGGAAACATTATATGGCATTCC
    ATAAACAACATACCCCAATATCGCTGGGGTTCCTTATTGCTTGT
    GTGTTATTTGCTGTGGTTCC
    1795 KIAA1210 4019321 CCAGTGTCCATAAACAGGAGAAGACAGCACAGATGAAGCCAC
    CTAAGCCTACAAAATCAG
    1796 KIAA1210 4019322 CCTGCTGGTCAACAGTCAGATTATGCTGTCTCAGAGCCGGTTT
    GGATAACTATGGCAAAGCAGAAGCAGAAGAGTTTCAAGGCCC
    ACATTTCTGTGAAAGAGCTGAAAACTAAGAGCAATGCTGGAGC
    CGATGCTGAGACTAAGGAGCCTA
    1797 KIAA1210 4019323 TCCAGATGGCAAGCAGATATCAAGTGGA
    1798 KIAA1210 4019324 TTTGGAGTTCGACTGAAAAGAGCCCCTCCCTCGCAGAAGTATA
    AGAGTGAGAAACAAGATAACTTCACCCAGCTTGCTTCAGTGCC
    CTCGGGCCCAATTTCATCCTCTGTAGGCAGGGGACATAAAATC
    AGAAGCACTTC
    1799 KIAA1210 4019325 TCCTCAAATTTCGAGCGGGCTGCTATTGAGGCAGACATTTCTG
    GGAGTCCATTGCCTCCCCAATATGCTACCCAGTTCTTAAAGAG
    GTCTAAAGTTCAGGAAATGACCTCACGACTAGAGAAAATGGCT
    GTTGAAGGCACTTCTAACAAATCACCGATTCCCAGGCGTCCGA
    CCCAGTCATTCGTGAAATTTATGGCACAGCAAATCTTTTCAGA
    GAGCTCTGCTCTTAAGAGGGGCAGTGATGTGGCACCTCTGCC
    TCCCAATCTTCCTTCCAAATCTTTATCAAAGCCTGAAGTCAAGC
    ACCAAGTTTTCTCAGATTCAGGGAGTGCTAATCCTAAGGGAGG
    CATTTCTTCAAAGATGCTACCTATGAAGCACCCTTTACAGTCCT
    TGGGGAGGCCTGAAGACCCACAGAAAGTTTTCTCTTATTCAGA
    GAGAGCTCCTGGGAAGTGCAGCAGTTTTAAAGAGCAGCTGTC
    TCCCAGGCAGCTTTCCCAGGCCTTGAGGAAACCTGAGTATGA
    GCAAAAAGTCTCCCCTGTTTCTGCCAGTTCTCCTAAAGAGTGG
    AGGAATTCTAAAAAGCAGCTGCCTCCCAAACATTCTTCCCAAG
    CCTCAGATAGGTCTAAATTCCAGCCACAGATGTCATCAAAGGG
    CCCAGTGAATGTACCTGTAAAGCAGAGCAGCGGTGAGAAGCA
    CCTGCCTTCAAGTAGTCCTTTCCAGCAACAGGTTCATTCAAGT
    TCTGTGAATGCTGCTGCTAGGCGATCTGTTTTTGA
    1800 KIAA1210 4019326 GGCTATCCAATGTCAGCAGCATATGGAAGAAGATGGAGAAGA
    AAAGGAGCAAGTGTTTCAGGATTGAGTGGGTGTGAATTCAAAG
    GAAGAAGCCTTAAACAATCCAGTGAAGGGTATGGCCTGGGCG
    ATAGAGCTGGGTCTTCACCTACCAATAAGACTGCCAGGAATGT
    CCCTTTCTCGCACTTGTCCTTAG
    1801 KIAA1210 4019327 TGGAGCATAGTCAGCTATTATCAGCGCTGTATGCTGGATATGA
    AACTACTGGATGGAGCTAAGGATGCAGCAGATAGTGAGGGAA
    GAAAGGCACAAGGGGCCCTTCCAT
    1802 KIAA1210 4019328 TGTTGGCTCCAGTTGATGGCAAGCTGATTTCTAGCAGTATTTG
    ATAAAAAAATTCCAGTTCCTCAAATTAAGTTGAATAGTTATGTT
    ACGTTTTTGCCACAAAGGATTTCACATGTGGGTCCAAAGACAG
    GACATTCCTAAACACGTTT
    1803 KIAA1210 4019329 AACCTTCCATTGGTTTCTGAAGAAGAAAAGAGCATAACCAAAC
    CAAAAGAAATCAACGAAAAGAAGCTGGGA
    1804 KIAA1210 4019330 CCTTCCAGTGTGGTTCAGTCATTTCCAGGGTATTTTAGAGGGA
    TCCCTGCAGTGTGTCACTCAGACATTAGAA
    1805 KIAA1210 4019331 CACAGTCCTTGACTGCATTTGCCACACTTGCCTCTACCAGTAG
    CACCCAGCTGCCCATTGGTTTCAGCACCCCAGCCACCACCCA
    GGGCTGTTTGGATTCTTCAGCTGCTCGCCACAAAATGACTT
    1806 KIAA1210 4019332 GGTTACAGGCTCCATCACTATCCCACTGGAG
    1807 KIAA1210 4019333 ATCCCACCTGTTATCCAACCTGAAATAATTTCTAAGAACTTGGT
    AGAAATCTCTCTCGATGATGAGTCACCTAAGAATCCACAAAAG
    AAGGCTTTACCACATAAGAGTTTGACAGCG
    1808 KIAA1210 4019334 TTCTAATGGATTAAGTGACATTCAGAACAACGAGGAGATTGTT
    AAAGAAGAA
    1809 KIAA1210 4019335 CTCTGCCTAAACCTAGGAGTAAGGTTCCTGGAGTTGTGTCTGG
    AGCCATGTCAGGAGCTGTGCTTCAAAATGTGCCTACAAGTGCA
    GTCTGGGTT
    1810 KIAA1210 4019336 TTCCTTCTATGGATCCCCAGAGAGG
    1811 KIAA1210 4019337 GCAGCATGGGGAGCAAAGCCCTATCCCATGATAGCATCTTCA
    TGTTGGGTCCTGAGCCTGAAAGATCA
    1812 KIAA1210 4019338 AAAGAAGCCGAAGATACCCAGGAAGAAGAA
    1813 KIAA1210 4019339 CCTACAATGGCTGAATCACTAAGTGAAATTTCTGACAGTCTGG
    ATGT
    1814 KIAA1210 4019340 ATGCCCTGTACCCAAGGTGATTTACAGCAGGGTTTCCTTAAAG
    CTAGGTATTTGGAGCCCTCACCTCCCAGGAGTCACCTGGAAG
    GTTCTGGACTTGCAGGTCCCT
    1815 KIAA1210 4019341 TGATTGCTGGTAATCTTGGGGATCTGGCCAGGATAGTGGGCC
    CCTCACATCATGCTAGTCAGCTTCTCCTACTCCAAG
  • Example 2: Validation of a Genomic Classifier to Predict Aggressive Prostate Cancer in Humans
  • The genomic classifiers described in Example 1 above were further validated as follows. Expression profiles from assays of biopsy and radical prostatectomy (RP) tumor tissue specimens from multiple patient cohorts were analyzed. This included genome-wide expression, treatment and outcomes data from prostate cancer patients treated with RP retrospective institutional cohorts and pathological data from clinical use of the Decipher RP test.
  • Prediction of Future Metastasis
  • RP clinical validation of the genomic classifiers (DV1 and DV2) ability to prognosticate the development of postoperative metastasis at 5 years and 10 years was determined. As shown in Table 8 below, genomic classifiers DV1 and DV2 were prognostic for 5-year metastasis and 10-year metastasis. Similar results were observed for prostate-cancer specific mortality end-point (See Table 9). Multivariable analysis further demonstrated that the prognostic information in the GC models is independent of clinical risk factors.
  • TABLE 8
    Metastasis Endpoint for Genomic Classifiers
    Cumulative Incidence of Cumulative Incidence of
    5 year Metastasis @ 5 year - Metastasis @ 10 year -
    MVA HR AUC Risk Group Risk Group
    Dataset Classifier (95% CI) (95% CI) Low Int High Low Int High
    Decipher Dv1 1.20 0.72 2.4 5.8 15.2  5.5 15.0 26.7
    Meta RP (1.09-1.33) (0.66-0.78)
    (n = 855) Dv2 1.33 0.79 1.5 6.8 15.2  3.9 12.0 31.4
    (Spratt JCO (1.18-1.49) (0.73-0.84)
    2017) Dv1 + CC 0.78
    (0.72-0.85)
    Dv2 + CC 0.82
    (0.77-0.86)
    CCF RP Dv1 1.28 0.78 5.1 4.8 17.5 15.4 38.0 60.1
    (n = 179) (1.12-1.47) (0.67-0.88)
    (Klein EU Dv2 1.27 0.75 4.2 4.5 20.6 11.2 42.5 67.5
    2015) (1.09-1.48) (0.62-0.87)
    Dv1 + CC 0.76
    (0.62-0.91)
    Dv2 + CC 0.74
    (0.61-0.87)
    Leuven RP Dv1 1.26 0.71 13.3  7.1 34.5 41.5 22.1 56.1
    (n = 61) (1.07-1.49) (0.50-0.87)
    Dv2 1.20 0.74 14.3  18.8  29.2 29.4 45.5 51.3
    (1.03-1.41) (0.53-0.89)
    Dv1 + CC 0.78
    (0.64-0.95)
    Dv2 + CC 0.76
    (0.61-0.97)
  • TABLE 9
    PCSM Endpoint for Genomic Classifiers
    Dataset Classifier OR (95% CI) AUC (95% CI)
    Decipher PCSM Dv1 1.48 (1.33-1.64) 0.73 (0.67-0.78)
    [All patients] Dv2 1.47 (1.36-1.58) 0.79 (0.74-0.84)
    (n = 561) Dv1 + CC 1.31 (1.17-1.46) 0.80 (0.75-0.83)
    (Karnes EU 2017) Dv2 + CC 1.33 (1.23-1.45) 0.82 (0.79-0.86)
    Decipher PCSM Dv1 1.37 (1.21-1.54) 0.69 (0.62-0.76)
    [High Risk: Dv2 1.35 (1.24-1.48) 0.73 (0.67-0.79)
    PSA > 20 or RP Dv1 + CC 1.29 (1.14-1.46) 0.72 (0.68-0.77)
    Gleason > 8 or RP Dv2 + CC 1.30 (1.18-1.43) 0.75 (0.71-0.79)
    Stage pT3b/N1]
    (n = 323)
    Decipher PCSM Dv1 1.35 (1.18-1.53) 0.69 (0.62-0.77)
    [BCR patients] Dv2 1.34 (1.22-1.49) 0.74 (0.67-0.81)
    (n = 212) Dv1 + CC 1.25 (1.09-1.43) 0.75 (0.70-0.80)
    Dv2 + CC 1.26 (1.14-1.41) 0.77 (0.72-0.82)
  • Treatment Guidance
  • Treatment guidance, including adjuvant radiotherapy and salvage radiotherapy from Decipher RP testing was determined. Table 10 shows treatment guidance data for the metastasis endpoint for genomic classifiers.
  • TABLE 10
    Treatment Guidance - Metastasis Endpoint for Genomic Classifiers
    Cumulative Incidence of Cumulative Incidence of
    5 year Metastasis @ 5 year Metastasis @ 10 year
    MVA HR AUC Adjuvant Salvage Adjuvant Salvage
    Dataset Classifier (95% CI) (95% CI) RT RT RT RT
    ART vs SRT Dv1 Low 0 6.0 9.4 10.7
    guidance Dv1 High 7.5 23.3 7.5 31.3
    (n = 188) Dv2 Low 0 3.6 0 7.7
    (Den JCO Dv2 High 6.6 25.1 17.2 34.4
    2015)
    SRT Dv1 1.3 0.81
    intensification (1.09-1.6) (0.7-0.9)
    (n = 170) Dv2 1.68 0.86
    (Freedland (1.32-2.3) (0.73-0.95)
    EU 2016) Dv1 + CC 0.8
    (0.7-0.9)
    Dv2 + CC 0.88
    (0.81-0.94)
  • These results showed that genomic classifiers of the present invention are useful for predicting presence of higher-grade disease in prostate cancer subjects. These results further showed that genomic classifiers of the present invention are useful for predicting metastasis in prostate cancer subjects. These results suggested that the methods and markers of the present invention would be useful for diagnosing, prognosing, determining the progression of cancer, or predicting benefit from therapy in a subject having prostate cancer. The results showed that the subtyping methods of the present invention may be used to determine a treatment for a subject with prostate cancer.
  • Although the disclosure has been described with reference to the above examples, it will be understood that modifications and variations are encompassed within the spirit and scope of the disclosure. Accordingly, the disclosure is limited only by the following claims.

Claims (14)

1. A method comprising:
a) obtaining a biological sample from a subject; and
b) detecting the presence or assaying an expression level in the sample from the subject for a plurality of target sequences, wherein the plurality of target sequences is selected from Table 1 or SEQ ID NOs: 1-1815.
2. The method of claim 1, wherein the plurality of target sequences comprises a coding and/or non-coding target.
3. The method of claim 1, wherein the plurality of target sequences comprises a nucleic acid sequence.
4. The method of claim 3, wherein the nucleic acid sequence is a DNA sequence or an RNA sequence.
5. The method of claim 1, wherein the plurality of target sequences comprises at least 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55 or 60 target sequences selected from Table 1 or SEQ ID NOs: 1-1815.
6. The method of claim 1, wherein the subject has cancer.
7. The method of claim 6, wherein the cancer is selected from the group consisting of skin cancer, lung cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, thyroid cancer, ovarian cancer, uterine cancer, breast cancer, cervical cancer, kidney cancer, epithelial carcinoma, squamous carcinoma, basal cell carcinoma, melanoma, papilloma, and adenomas.
8. The method of claim 1, further comprising administering a treatment to the subject.
9. The method of claim 8, wherein the treatment is selected from the group consisting of surgery, chemotherapy, radiation therapy, immunotherapy/biological therapy, and photodynamic therapy.
10. The method of claim 1, wherein the biological sample is a urine sample, a blood sample or a prostate tumor sample.
11-19. (canceled)
20. A kit for predicting cancer aggressiveness or risk of metastasis, the kit comprising agents for assaying an expression level of a plurality of genes, wherein said plurality of genes comprises one or more genes selected from Table 1 or SEQ ID NOs: 1-1815.
21. A system for analyzing a cancer, comprising:
a probe set comprising a plurality of target sequences, wherein the plurality of target sequences hybridizes to one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; or the plurality of target sequences comprises one or more targets selected from Table 1 or SEQ ID NOs: 1-1815; and
a computer model or algorithm for analyzing an expression level and/or expression profile of the target hybridized to the probe in a sample from a subject suffering from prostate cancer.
22. A probe set for prognosing or diagnosing cancer in a subject, the probe set comprising a plurality of probes for detecting a plurality of target nucleic acids, wherein the plurality of target nucleic acids comprises one or more gene sequences, or complements thereof, of genes selected from Table 1.
US17/390,674 2017-05-12 2021-07-30 Genetic signatures to predict prostate cancer metastasis and identify tumor aggressiveness Pending US20220177974A1 (en)

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