The population reference sample, POPRES: A resource for population, disease, and pharmacological genetics research

被引:184
作者
Nelson, Matthew R. [1 ]
Bryc, Katarzyna [2 ]
King, Karen S. [1 ]
Indap, Amit [2 ]
Boyko, Adam R. [2 ]
Novembre, John [3 ,4 ]
Briley, Linda P. [1 ]
Maruyama, Yuka [1 ]
Waterworth, Dawn M. [5 ]
Waeber, Gerard [6 ]
Vollenweider, Peter [6 ]
Oksenberg, Jorge R. [7 ]
Hauser, Stephen L. [7 ]
Stirnadel, Heide A. [8 ]
Kooner, Jaspal S. [9 ]
Chambers, John C. [10 ]
Jones, Brendan [1 ]
Mooser, Vincent [5 ]
Bustamante, Carlos D. [2 ]
Roses, Allen D. [1 ]
Burns, Daniel K. [1 ]
Ehm, Margaret G. [1 ]
Lail, Eric H. [1 ]
机构
[1] GlaxoSmithKline Inc, Res Triangle Pk, NC 27709 USA
[2] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY 14853 USA
[3] Univ Calif Los Angeles, Interdepartmental Program Bioinformat, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA
[4] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA
[5] GlaxoSmithKline Inc, King Of Prussia, PA 19406 USA
[6] CHU Vaudois, Dept Internal Med, CH-1011 Lausanne, Switzerland
[7] Univ Calif San Francisco, Dept Neurol, San Francisco, CA 94143 USA
[8] GlaxoSmithKline Inc, Harlow CM19 5AW, Essex, England
[9] Univ London Imperial Coll Sci Technol & Med, Natl Heart & Lung Inst, London SW3 6LY, England
[10] Univ London Imperial Coll Sci Technol & Med, Dept Epidemiol & Publ Hlth, London W2 1PG, England
基金
英国医学研究理事会; 美国国家卫生研究院;
关键词
D O I
10.1016/j.ajhg.2008.08.005
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Technological and scientific advances, stemming in large part from the Human Genome and HapMap projects, have made large-scale, genome-wide investigations feasible and cost effective. These advances have the potential to dramatically impact drug discovery and development by identifying genetic factors that contribute to variation in disease risk as well as drug pharmacokinetics, treatment efficacy, and adverse drug reactions. In spite of the technological advancements, successful application in biomedical research Would be limited without access to suitable sample collections. To facilitate exploratory genetics research, we have assembled a DNA resource from a large number of subjects participating in multiple studies throughout the world. This growing resource was initially genotyped with a commercially available genome-wide 500,000 single-nucleotide polymorphism panel. This project includes nearly 6,000 subjects of African-American, East Asian, South Asian, Mexican, and European origin. Seven informative axes of variation identified via principal-component analysis (PCA) of these data confirm the overall integrity of the data and highlight important features of the genetic structure of diverse populations. The potential value of such extensively genotyped collections is illustrated by selection of genetically matched population controls in a genome-wide analysis of abacavir-associated hypersensitivity reaction. We find that matching based on country of origin, identity-by-state distance, and multidimensional PCA do similarly well to control the type I error rate. The genotype and demographic data from this reference sample are freely available through the NCBI database of Genotypes and Phenotypes (dbGaP).
引用
收藏
页码:347 / 358
页数:12
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