CO6351830A2 - Método para caracterizar secuencias en muestras de material genético - Google Patents

Método para caracterizar secuencias en muestras de material genético

Info

Publication number
CO6351830A2
CO6351830A2 CO11021798A CO11021798A CO6351830A2 CO 6351830 A2 CO6351830 A2 CO 6351830A2 CO 11021798 A CO11021798 A CO 11021798A CO 11021798 A CO11021798 A CO 11021798A CO 6351830 A2 CO6351830 A2 CO 6351830A2
Authority
CO
Colombia
Prior art keywords
genetic material
sample
testing
samples
characteristic pattern
Prior art date
Application number
CO11021798A
Other languages
English (en)
Inventor
David Craig
Nils Homer
Original Assignee
Translational Genomics Res Inst
Univ California
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Translational Genomics Res Inst, Univ California filed Critical Translational Genomics Res Inst
Publication of CO6351830A2 publication Critical patent/CO6351830A2/es

Links

Classifications

    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • 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
    • G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/40—Population genetics; Linkage disequilibrium

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Genetics & Genomics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Bioethics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Evolutionary Computation (AREA)
  • Public Health (AREA)
  • Software Systems (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

Un método para determinar la probabilidad de que un sujeto contribuyó material genético a una muestra de material genético para prueba. Dicho método comprende: proporcionar una muestra de material genético para prueba; realizar un análisis de polimorfismos mononucleótidos en la muestra de material genético para prueba, según el cual por lo menos 50 diferentes polimorfismos mononucleotidos son analizados en dicha muestra de material genético para prueba, por lo tanto creando una muestra del patrón característico de los PMN; y comparar la muestra del patrón característico de los PMN con el patrón característico de los PMN del sujeto para determinar la probabilidad de que el sujeto contribuyó material genético a una muestra de material genético para prueba.
CO11021798A 2008-07-23 2011-02-23 Método para caracterizar secuencias en muestras de material genético CO6351830A2 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US8291208P 2008-07-23 2008-07-23

Publications (1)

Publication Number Publication Date
CO6351830A2 true CO6351830A2 (es) 2011-12-20

Family

ID=41129339

Family Applications (1)

Application Number Title Priority Date Filing Date
CO11021798A CO6351830A2 (es) 2008-07-23 2011-02-23 Método para caracterizar secuencias en muestras de material genético

Country Status (8)

Country Link
US (2) US20100086926A1 (es)
EP (1) EP2332082A1 (es)
CN (1) CN102165456B (es)
AU (1) AU2009274031A1 (es)
BR (1) BRPI0915619A2 (es)
CA (1) CA2731830A1 (es)
CO (1) CO6351830A2 (es)
WO (1) WO2010011776A1 (es)

Families Citing this family (26)

* Cited by examiner, † Cited by third party
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AU2010242073C1 (en) 2009-04-30 2015-12-24 Good Start Genetics, Inc. Methods and compositions for evaluating genetic markers
US9447474B2 (en) 2009-12-03 2016-09-20 Yissum Research Development Company Of The Hebrew University Of Jerusalem, Ltd. System and method for analyzing DNA mixtures
US9163281B2 (en) 2010-12-23 2015-10-20 Good Start Genetics, Inc. Methods for maintaining the integrity and identification of a nucleic acid template in a multiplex sequencing reaction
CA2852665A1 (en) 2011-10-17 2013-04-25 Good Start Genetics, Inc. Analysis methods
US8209130B1 (en) 2012-04-04 2012-06-26 Good Start Genetics, Inc. Sequence assembly
US10227635B2 (en) 2012-04-16 2019-03-12 Molecular Loop Biosolutions, Llc Capture reactions
WO2014074611A1 (en) * 2012-11-07 2014-05-15 Good Start Genetics, Inc. Methods and systems for identifying contamination in samples
US8778609B1 (en) 2013-03-14 2014-07-15 Good Start Genetics, Inc. Methods for analyzing nucleic acids
US10851414B2 (en) 2013-10-18 2020-12-01 Good Start Genetics, Inc. Methods for determining carrier status
US11053548B2 (en) 2014-05-12 2021-07-06 Good Start Genetics, Inc. Methods for detecting aneuploidy
CA2952620C (en) 2014-06-18 2023-05-16 The Regents Of The University Of California Method for determining relatedness of genomic samples using partial sequence information
JP2016051461A (ja) * 2014-08-29 2016-04-11 日本コントロールシステム株式会社 クラスタリング装置、クラスタリング方法、およびプログラム
US11408024B2 (en) 2014-09-10 2022-08-09 Molecular Loop Biosciences, Inc. Methods for selectively suppressing non-target sequences
JP2017536087A (ja) 2014-09-24 2017-12-07 グッド スタート ジェネティクス， インコーポレイテッド 遺伝子アッセイのロバストネスを増大させるためのプロセス制御
CA3010579A1 (en) 2015-01-06 2016-07-14 Good Start Genetics, Inc. Screening for structural variants
US10854316B2 (en) * 2015-12-03 2020-12-01 Syracuse University Methods and systems for prediction of a DNA profile mixture ratio
CN105463116B (zh) * 2016-01-15 2018-08-28 中南大学 一种基于20个三等位基因snp遗传标记的法医学复合检测试剂盒及检测方法
WO2018144135A1 (en) 2017-01-31 2018-08-09 Counsyl, Inc. Systems and methods for inferring genetic ancestry from low-coverage genomic data
CA3058413A1 (en) * 2017-03-29 2018-10-04 Nantomics, Llc Signature-hash for multi-sequence files
CN108823296B (zh) * 2017-05-05 2021-12-21 深圳华大基因股份有限公司 一种检测核酸样本污染的方法、试剂盒及应用
JP2020531050A (ja) * 2017-08-17 2020-11-05 ティーエーアイ ダイアグノスティックス インコーポレイテッドＴａｉ Ｄｉａｇｎｏｓｔｉｃｓ，Ｉｎｃ． ドナー遺伝子型なしでドナー無細胞ｄｎａを決定する方法
US12084720B2 (en) 2017-12-14 2024-09-10 Natera, Inc. Assessing graft suitability for transplantation
US11931674B2 (en) 2019-04-04 2024-03-19 Natera, Inc. Materials and methods for processing blood samples
CN111575386B (zh) * 2020-05-27 2023-10-03 广州市刑事科学技术研究所 一种检测人y-snp基因座的荧光复合扩增试剂盒及应用
WO2021251834A1 (en) * 2020-06-10 2021-12-16 Institute Of Environmental Science And Research Limited Methods and systems for identifying nucleic acids
WO2024161278A1 (en) * 2023-01-30 2024-08-08 Identigen Limited A system and method for element traceability

Also Published As

Publication number Publication date
CA2731830A1 (en) 2010-01-28
EP2332082A1 (en) 2011-06-15
CN102165456A (zh) 2011-08-24
AU2009274031A1 (en) 2010-01-28
WO2010011776A1 (en) 2010-01-28
US20170206311A1 (en) 2017-07-20
US20100086926A1 (en) 2010-04-08
US10679728B2 (en) 2020-06-09
CN102165456B (zh) 2014-07-23
BRPI0915619A2 (pt) 2016-11-01

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