CN111670476A - 患病风险预测方法、电子设备及存储介质 - Google Patents
患病风险预测方法、电子设备及存储介质 Download PDFInfo
- Publication number
- CN111670476A CN111670476A CN201880003024.9A CN201880003024A CN111670476A CN 111670476 A CN111670476 A CN 111670476A CN 201880003024 A CN201880003024 A CN 201880003024A CN 111670476 A CN111670476 A CN 111670476A
- Authority
- CN
- China
- Prior art keywords
- reference object
- driving force
- activity
- group
- clustering
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 93
- 201000010099 disease Diseases 0.000 title claims abstract description 53
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 53
- 108090000623 proteins and genes Proteins 0.000 claims abstract description 193
- 230000000694 effects Effects 0.000 claims abstract description 88
- 230000008859 change Effects 0.000 claims abstract description 63
- 230000019491 signal transduction Effects 0.000 claims abstract description 61
- 238000012360 testing method Methods 0.000 claims abstract description 19
- 208000003721 Triple Negative Breast Neoplasms Diseases 0.000 claims description 25
- 208000022679 triple-negative breast carcinoma Diseases 0.000 claims description 25
- 238000012545 processing Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 10
- 230000009467 reduction Effects 0.000 claims description 8
- 230000001575 pathological effect Effects 0.000 claims description 7
- 238000005192 partition Methods 0.000 claims 2
- 230000006399 behavior Effects 0.000 claims 1
- 210000004027 cell Anatomy 0.000 description 46
- 230000014509 gene expression Effects 0.000 description 36
- 239000011159 matrix material Substances 0.000 description 28
- 238000004088 simulation Methods 0.000 description 19
- 206010006187 Breast cancer Diseases 0.000 description 18
- 208000026310 Breast neoplasm Diseases 0.000 description 18
- 210000004602 germ cell Anatomy 0.000 description 17
- 230000002068 genetic effect Effects 0.000 description 14
- 230000003834 intracellular effect Effects 0.000 description 10
- 238000010606 normalization Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 10
- SFRALHFBKRAJPW-UHFFFAOYSA-N IDFP Chemical compound CCCCCCCCCCCCP(F)(=O)OC(C)C SFRALHFBKRAJPW-UHFFFAOYSA-N 0.000 description 7
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000011946 reduction process Methods 0.000 description 5
- 238000012163 sequencing technique Methods 0.000 description 5
- 230000003542 behavioural effect Effects 0.000 description 4
- 208000007433 Lymphatic Metastasis Diseases 0.000 description 3
- 230000001991 pathophysiological effect Effects 0.000 description 3
- 230000004075 alteration Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 102000015694 estrogen receptors Human genes 0.000 description 2
- 108010038795 estrogen receptors Proteins 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000002207 metabolite Substances 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000035772 mutation Effects 0.000 description 2
- 230000036438 mutation frequency Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000037361 pathway Effects 0.000 description 2
- 238000010837 poor prognosis Methods 0.000 description 2
- 102000003998 progesterone receptors Human genes 0.000 description 2
- 108090000468 progesterone receptors Proteins 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000012502 risk assessment Methods 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 108700024394 Exon Proteins 0.000 description 1
- 208000033640 Hereditary breast cancer Diseases 0.000 description 1
- 241000282412 Homo Species 0.000 description 1
- 208000026350 Inborn Genetic disease Diseases 0.000 description 1
- 206010027476 Metastases Diseases 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- 108091028043 Nucleic acid sequence Proteins 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000031018 biological processes and functions Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 201000011510 cancer Diseases 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000002301 combined effect Effects 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 231100000517 death Toxicity 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 230000003828 downregulation Effects 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004049 epigenetic modification Effects 0.000 description 1
- 108700020302 erbB-2 Genes Proteins 0.000 description 1
- 208000016361 genetic disease Diseases 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 208000025581 hereditary breast carcinoma Diseases 0.000 description 1
- 230000036737 immune function Effects 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 150000002632 lipids Chemical class 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 210000001161 mammalian embryo Anatomy 0.000 description 1
- 230000002503 metabolic effect Effects 0.000 description 1
- 229910021645 metal ion Inorganic materials 0.000 description 1
- 230000009401 metastasis Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 102000039446 nucleic acids Human genes 0.000 description 1
- 108020004707 nucleic acids Proteins 0.000 description 1
- 150000007523 nucleic acids Chemical class 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000008506 pathogenesis Effects 0.000 description 1
- 229920000642 polymer Polymers 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000004393 prognosis Methods 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
- 229940126586 small molecule drug Drugs 0.000 description 1
- 150000003384 small molecules Chemical class 0.000 description 1
- 238000002948 stochastic simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 230000005748 tumor development Effects 0.000 description 1
- 230000003827 upregulation Effects 0.000 description 1
- 238000012070 whole genome sequencing analysis Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
- G16B40/20—Supervised data analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pathology (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biophysics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Bioethics (AREA)
- Biotechnology (AREA)
- Evolutionary Biology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Theoretical Computer Science (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
Abstract
本申请公开患病风险预测方法、电子设备及存储介质,所述方法包括:获得被检测对象的属于预定基因组的突变基因对于若干条预定信号通路的活性改变的驱动力信息;获得第一及第二参考对象组中的每个参考对象的属于所述预定基因组的突变基因对于所述若干条预定信号通路的活性改变的驱动力信息;其中,所述第一参考对象组中的各参考对象属于健康类对象,所述第二参考对象组中的各参考对象属于患特定疾病类对象;依据所述被检测对象的突变基因对于若干条预定信号通路的活性改变的驱动力信息及所述第一及第二参考对象组中的每个参考对象的突变基因对于所述若干条预定信号通路的活性改变的驱动力信息,对所述被检测对象、第一及第二参考对象组中的各参考对象进行第一聚类;以及依据进行所述第一聚类后获得的第一聚类结果输出所述被检测对象患所述特定疾病的风险。
Description
PCT国内申请,说明书已公开。
Claims (16)
- PCT国内申请,权利要求书已公开。
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2018/122786 WO2020124584A1 (zh) | 2018-12-21 | 2018-12-21 | 患病风险预测方法、电子设备及存储介质 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111670476A true CN111670476A (zh) | 2020-09-15 |
CN111670476B CN111670476B (zh) | 2023-04-25 |
Family
ID=71102489
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201880003024.9A Active CN111670476B (zh) | 2018-12-21 | 2018-12-21 | 患病风险预测方法、电子设备及存储介质 |
Country Status (3)
Country | Link |
---|---|
US (1) | US20220068491A1 (zh) |
CN (1) | CN111670476B (zh) |
WO (1) | WO2020124584A1 (zh) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110246409A1 (en) * | 2010-04-05 | 2011-10-06 | Indian Statistical Institute | Data set dimensionality reduction processes and machines |
CN103180462A (zh) * | 2010-10-06 | 2013-06-26 | 拜奥默里克斯公司 | 确定生物通路活性的方法 |
US20170218456A1 (en) * | 2014-07-23 | 2017-08-03 | Ontario Institute For Cancer Research | Systems, Devices and Methods for Constructing and Using a Biomarker |
CN107658023A (zh) * | 2017-09-25 | 2018-02-02 | 泰康保险集团股份有限公司 | 疾病预测方法、装置、介质和电子设备 |
CN107924430A (zh) * | 2015-08-17 | 2018-04-17 | 皇家飞利浦有限公司 | 生物数据模式识别的多级体系构架 |
CN109036571A (zh) * | 2014-12-08 | 2018-12-18 | 20/20基因系统股份有限公司 | 用于预测患有癌症的可能性或风险的方法和机器学习系统 |
-
2018
- 2018-12-21 CN CN201880003024.9A patent/CN111670476B/zh active Active
- 2018-12-21 WO PCT/CN2018/122786 patent/WO2020124584A1/zh active Application Filing
- 2018-12-21 US US17/416,919 patent/US20220068491A1/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110246409A1 (en) * | 2010-04-05 | 2011-10-06 | Indian Statistical Institute | Data set dimensionality reduction processes and machines |
CN103180462A (zh) * | 2010-10-06 | 2013-06-26 | 拜奥默里克斯公司 | 确定生物通路活性的方法 |
US20170218456A1 (en) * | 2014-07-23 | 2017-08-03 | Ontario Institute For Cancer Research | Systems, Devices and Methods for Constructing and Using a Biomarker |
CN109036571A (zh) * | 2014-12-08 | 2018-12-18 | 20/20基因系统股份有限公司 | 用于预测患有癌症的可能性或风险的方法和机器学习系统 |
CN107924430A (zh) * | 2015-08-17 | 2018-04-17 | 皇家飞利浦有限公司 | 生物数据模式识别的多级体系构架 |
CN107658023A (zh) * | 2017-09-25 | 2018-02-02 | 泰康保险集团股份有限公司 | 疾病预测方法、装置、介质和电子设备 |
Non-Patent Citations (3)
Title |
---|
DELILA GASI TANDEFELT等: "A 36-gene Signature Predicts Clinical Progression in a Subgroup of ERG-positive Prostate Cancers" * |
P.SINN等: "Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility" * |
王博龙: "基于网络药理学的枳术汤活性成分-靶点-通路研究" * |
Also Published As
Publication number | Publication date |
---|---|
WO2020124584A1 (zh) | 2020-06-25 |
CN111670476B (zh) | 2023-04-25 |
US20220068491A1 (en) | 2022-03-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102016881B (zh) | 样本数据的分类 | |
CN113597645A (zh) | 用于重建药物应答和疾病网络的方法和系统以及其用途 | |
US10665347B2 (en) | Methods for predicting prognosis | |
JP7568276B2 (ja) | 個体の形質情報を予測するためのシステムまたは方法 | |
Yang et al. | ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences | |
Zeng et al. | Mixture classification model based on clinical markers for breast cancer prognosis | |
He et al. | Cloudpred: Predicting patient phenotypes from single-cell rna-seq | |
Rauschenberger et al. | Sparse classification with paired covariates | |
Lock et al. | Bayesian genome-and epigenome-wide association studies with gene level dependence | |
Qiu et al. | Genomic processing for cancer classification and prediction-Abroad review of the recent advances in model-based genomoric and proteomic signal processing for cancer detection | |
Khodaei et al. | A Markov chain-based feature extraction method for classification and identification of cancerous DNA sequences | |
Tai et al. | Bayice: a Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data | |
Sharma et al. | A Comparative Study of Data Mining, Digital Image Processing and Genetical Approach for Early Detection of Liver Cancer | |
CA3036597C (en) | Systems, methods, and gene signatures for predicting a biological status of an individual | |
CN111670476B (zh) | 患病风险预测方法、电子设备及存储介质 | |
CN111602201B (zh) | 获得细胞内确定性事件的方法、电子设备及存储介质 | |
CN112930573B (zh) | 疾病类型自动确定方法及电子设备 | |
US20220293212A1 (en) | Method for automatically predicting treatment management factor characteristics of disease and electronic apparatus | |
Zararsiz et al. | Introduction to statistical methods for microRNA analysis | |
Hossain et al. | Estimation of weighted log partial area under the ROC curve and its application to MicroRNA expression data | |
Gan et al. | Identification of differential gene groups from single-cell transcriptomes using network entropy | |
Song | Statistical Methods for Estimating Cell-Type Heterogeneity and Differential DNA Methylation Analysis | |
KR20240054201A (ko) | 질병 발생 위험도 예측 장치 및 방법 | |
Haber et al. | Discovering paracrine regulators of cellular composition from spatial transcriptomics data using SPER | |
Kim | Detection of Important Genes in a Gene Regulatory Network and Effects of Gene Interaction in Phenotype Classification |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20200915 Assignee: Beijing Fangyuan Zhihui Technology Co.,Ltd. Assignor: PHIL RIVERS TECHNOLOGY, Ltd. Contract record no.: X2024980000485 Denomination of invention: Disease risk prediction methods, electronic devices, and storage media Granted publication date: 20230425 License type: Exclusive License Record date: 20240116 |
|
EE01 | Entry into force of recordation of patent licensing contract |