Literature DB >> 26092718

Genotyping Informatics and Quality Control for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort.

Mark N Kvale1, Stephanie Hesselson2, Thomas J Hoffmann3, Yang Cao2, David Chan4, Sheryl Connell5, Lisa A Croen5, Brad P Dispensa2, Jasmin Eshragh2, Andrea Finn4, Jeremy Gollub4, Carlos Iribarren5, Eric Jorgenson5, Lawrence H Kushi5, Richard Lao2, Yontao Lu4, Dana Ludwig5, Gurpreet K Mathauda2, William B McGuire5, Gangwu Mei4, Sunita Miles5, Michael Mittman4, Mohini Patil4, Charles P Quesenberry5, Dilrini Ranatunga5, Sarah Rowell5, Marianne Sadler5, Lori C Sakoda5, Michael Shapero4, Ling Shen5, Tanu Shenoy2, David Smethurst5, Carol P Somkin5, Stephen K Van Den Eeden5, Lawrence Walter5, Eunice Wan2, Teresa Webster4, Rachel A Whitmer5, Simon Wong2, Chia Zau5, Yiping Zhan4, Catherine Schaefer6, Pui-Yan Kwok7, Neil Risch8.   

Abstract

The Kaiser Permanente (KP) Research Program on Genes, Environment and Health (RPGEH), in collaboration with the University of California-San Francisco, undertook genome-wide genotyping of >100,000 subjects that constitute the Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort. The project, which generated >70 billion genotypes, represents the first large-scale use of the Affymetrix Axiom Genotyping Solution. Because genotyping took place over a short 14-month period, creating a near-real-time analysis pipeline for experimental assay quality control and final optimized analyses was critical. Because of the multi-ethnic nature of the cohort, four different ethnic-specific arrays were employed to enhance genome-wide coverage. All assays were performed on DNA extracted from saliva samples. To improve sample call rates and significantly increase genotype concordance, we partitioned the cohort into disjoint packages of plates with similar assay contexts. Using strict QC criteria, the overall genotyping success rate was 103,067 of 109,837 samples assayed (93.8%), with a range of 92.1-95.4% for the four different arrays. Similarly, the SNP genotyping success rate ranged from 98.1 to 99.4% across the four arrays, the variation depending mostly on how many SNPs were included as single copy vs. double copy on a particular array. The high quality and large scale of genotype data created on this cohort, in conjunction with comprehensive longitudinal data from the KP electronic health records of participants, will enable a broad range of highly powered genome-wide association studies on a diversity of traits and conditions.
Copyright © 2015 by the Genetics Society of America.

Entities:  

Keywords:  Affymetrix Axiom; GERA cohort; genome-wide genotyping; quality control; saliva DNA

Mesh:

Year:  2015        PMID: 26092718      PMCID: PMC4574249          DOI: 10.1534/genetics.115.178905

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  3 in total

1.  Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array.

Authors:  Thomas J Hoffmann; Mark N Kvale; Stephanie E Hesselson; Yiping Zhan; Christine Aquino; Yang Cao; Simon Cawley; Elaine Chung; Sheryl Connell; Jasmin Eshragh; Marcia Ewing; Jeremy Gollub; Mary Henderson; Earl Hubbell; Carlos Iribarren; Jay Kaufman; Richard Z Lao; Yontao Lu; Dana Ludwig; Gurpreet K Mathauda; William McGuire; Gangwu Mei; Sunita Miles; Matthew M Purdy; Charles Quesenberry; Dilrini Ranatunga; Sarah Rowell; Marianne Sadler; Michael H Shapero; Ling Shen; Tanushree R Shenoy; David Smethurst; Stephen K Van den Eeden; Larry Walter; Eunice Wan; Reid Wearley; Teresa Webster; Christopher C Wen; Li Weng; Rachel A Whitmer; Alan Williams; Simon C Wong; Chia Zau; Andrea Finn; Catherine Schaefer; Pui-Yan Kwok; Neil Risch
Journal:  Genomics       Date:  2011-04-30       Impact factor: 5.736

2.  Design and coverage of high throughput genotyping arrays optimized for individuals of East Asian, African American, and Latino race/ethnicity using imputation and a novel hybrid SNP selection algorithm.

Authors:  Thomas J Hoffmann; Yiping Zhan; Mark N Kvale; Stephanie E Hesselson; Jeremy Gollub; Carlos Iribarren; Yontao Lu; Gangwu Mei; Matthew M Purdy; Charles Quesenberry; Sarah Rowell; Michael H Shapero; David Smethurst; Carol P Somkin; Stephen K Van den Eeden; Larry Walter; Teresa Webster; Rachel A Whitmer; Andrea Finn; Catherine Schaefer; Pui-Yan Kwok; Neil Risch
Journal:  Genomics       Date:  2011-08-28       Impact factor: 5.736

3.  California Men's Health Study (CMHS): a multiethnic cohort in a managed care setting.

Authors:  Shelley M Enger; Stephen K Van den Eeden; Barbara Sternfeld; Ronald K Loo; Charles P Quesenberry; Sarah Rowell; Marianne C Sadler; Donna M Schaffer; Laurel A Habel; Bette J Caan
Journal:  BMC Public Health       Date:  2006-06-30       Impact factor: 3.295

  3 in total
  94 in total

Review 1.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

2.  Meta-Analysis of 26 638 Individuals Identifies Two Genetic Loci Associated With Left Ventricular Ejection Fraction.

Authors:  Hélène Choquet; Khanh K Thai; Chen Jiang; Dilrini K Ranatunga; Thomas J Hoffmann; Alan S Go; Alistair C Lindsay; Margaret G Ehm; Dawn M Waterworth; Neil Risch; Catherine Schaefer
Journal:  Circ Genom Precis Med       Date:  2020-06-30

3.  Large-scale, multiethnic genome-wide association study identifies novel loci contributing to asthma susceptibility in adults.

Authors:  Amber Dahlin; Joanne E Sordillo; John Ziniti; Carlos Iribarren; Meng Lu; Scott T Weiss; Kelan G Tantisira; Quan Lu; Mengyuan Kan; Blanca E Himes; Eric Jorgenson; Ann Chen Wu
Journal:  J Allergy Clin Immunol       Date:  2018-12-20       Impact factor: 10.793

Review 4.  Over 1000 genetic loci influencing blood pressure with multiple systems and tissues implicated.

Authors:  Claudia P Cabrera; Fu Liang Ng; Hannah L Nicholls; Ajay Gupta; Michael R Barnes; Patricia B Munroe; Mark J Caulfield
Journal:  Hum Mol Genet       Date:  2019-11-21       Impact factor: 6.150

5.  Genetically-guided algorithm development and sample size optimization for age-related macular degeneration cases and controls in electronic health records from the VA Million Veteran Program.

Authors:  Christopher W Halladay; Tamer Hadi; Matthew D Anger; Paul B Greenberg; Jack M Sullivan; P Eric Konicki; Neal S Peachey; Robert P Igo; Sudha K Iyengar; Wen-Chih Wu; Dana C Crawford
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2019-05-06

6.  A method to customize population-specific arrays for genome-wide association testing.

Authors:  Erik A Ehli; Abdel Abdellaoui; Iryna O Fedko; Charlie Grieser; Sahar Nohzadeh-Malakshah; Gonneke Willemsen; Eco Jc de Geus; Dorret I Boomsma; Gareth E Davies; Jouke J Hottenga
Journal:  Eur J Hum Genet       Date:  2016-11-23       Impact factor: 4.246

7.  A Large Multiethnic Genome-Wide Association Study of Adult Body Mass Index Identifies Novel Loci.

Authors:  Thomas J Hoffmann; Hélène Choquet; Jie Yin; Yambazi Banda; Mark N Kvale; Maria Glymour; Catherine Schaefer; Neil Risch; Eric Jorgenson
Journal:  Genetics       Date:  2018-08-14       Impact factor: 4.562

Review 8.  Interdisciplinary Models for Research and Clinical Endeavors in Genomic Medicine: A Scientific Statement From the American Heart Association.

Authors:  Kiran Musunuru; Pankaj Arora; John P Cooke; Jane F Ferguson; Ray E Hershberger; Kathleen T Hickey; Jin-Moo Lee; João A C Lima; Joseph Loscalzo; Naveen L Pereira; Mark W Russell; Svati H Shah; Farah Sheikh; Thomas J Wang; Calum A MacRae
Journal:  Circ Genom Precis Med       Date:  2018-06

9.  Assessing the clinical impact of CYP2C9 pharmacogenetic variation on phenytoin prescribing practice and patient response in an integrated health system.

Authors:  Alison E Fohner; Dilrini K Ranatunga; Khanh K Thai; Brian L Lawson; Neil Risch; Akinyemi Oni-Orisan; Aline T Jelalian; Allan E Rettie; Vincent X Liu; Catherine A Schaefer
Journal:  Pharmacogenet Genomics       Date:  2019-10       Impact factor: 2.089

10.  Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women.

Authors:  Laurel A Habel; Weiva Sieh; Russell B McBride; Kezhen Fei; Joseph H Rothstein; Stacey E Alexeeff; Xiaoyu Song; Lori C Sakoda; Valerie McGuire; Ninah Achacoso; Luana Acton; Rhea Y Liang; Jafi A Lipson; Martin J Yaffe; Daniel L Rubin; Alice S Whittemore
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-17       Impact factor: 4.254

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