Cited by 294Genetic Associations and EpidemiologyForensic and Genetic ResearchRace, Genetics, and Society

The Population Reference Sample, POPRES: A Resource for Population, Disease, and Pharmacological Genetics Research

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Nelson, Matthew R., Bryc, Katarzyna, King, Karen S., Indap, Amit, Boyko, Adam R., Novembre, John, Briley, Linda P., Maruyama, Yuka +15 more·2008·The American Journal of Human Genetics

Abstract

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).

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Crossref · 10.1016/j.ajhg.2008.08.005

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  • Regions of the genome that have structural variation or show strong linkage disequilibrium (LD) have been shown both to confound admixture mapping and to influence the detection of population substructure in studies using Principal Components Analysis (PCA).

    “Regions of the genome that have structural variation or show strong linkage disequilibrium (LD) have been shown both to confound admixture mapping and to influence the detection of population substructure in studies using Principal Components Analysis (PCA).27,63,65”

    From The genetic ancestry of African Americans, Latinos, and European Americans across the United States (2015) · cites this paper as [63]

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  • The use of four-grandparent birth-country has been utilized as a proxy for assessing ancestry.

    “The use of four-grandparent birth-country has been utilized as a proxy for assessing ancestry.27,63”

    From The genetic ancestry of African Americans, Latinos, and European Americans across the United States (2015) · cites this paper as [63]

    The Introduction (page unavailable) says the CoLaus data included grandparental countries of birth, and the Results (page unavailable) lists grandparental birthplaces among the demographic information available for some POPRES subjects. The paper does not say that the birth countries of all four grandparents were used as a proxy to assess ancestry; its reported ancestry analysis uses genotype-based principal components. (LLM, conf=0.78)

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  1. [11]11. International Conference on Harmonization E15 Definitions for genomic biomarkers, pharmacogenomics, pharmacogenetics, genomic data and sample coding categories Federal Register. 2008; 78:19074-19076 Google Scholar

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Authors
Nelson, M. R., Bryc, K., King, K. S., Indap, A., Boyko, A. R., Novembre, J., Briley, L. P., Maruyama, Y., Waterworth, D. M., Waeber, G., Vollenweider, P., Oksenberg, J. R., Hauser, S. L., Stirnadel, H. A., Kooner, J. S., Chambers, J. C., Jones, B., Mooser, V., Bustamante, C. D., Roses, A. D., Burns, D. K., Ehm, M. G., & Lai, E. H.
Affiliations
  • GlaxoSmithKline (United States) (US)
  • Cornell University (US)
  • University of California, Los Angeles (US)
  • Centre Hospitalier Universitaire Vaudois (CH)
  • University of California, San Francisco (US)
  • Imperial College London (GB)
Corresponding author
Nelson, Matthew R.
Venue
The American Journal of Human Genetics
Publisher
Elsevier BV
Published
2008-09
Volume
83
Issue
3
Pages
347-358
ISSN
0002-9297 (ISSN-L)
OpenAlex
W1981638214
Cited by
293
References
36
Citations by year
2026: 3 · 2025: 8 · 2024: 6 · 2023: 17 · 2022: 7 · 2021: 2 · 2020: 10 · 2019: 13 · 2018: 47 · 2017: 13 · 2016: 17 · 2015: 25 · 2014: 21 · 2013: 22 · 2012: 27
FWCI
10.47
Type
journal article
Language
en
Open access
Locations
  • The American Journal of Human Genetics (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • IRIS (submittedVersion)
  • SERVAL (Université de Lausanne) (submittedVersion)
Funders
  • GlaxoSmithKline
  • Tri-Service General Hospital
  • National Institutes of Health
  • University of California, San Francisco
  • National Institute of General Medical Sciences (R01GM083606)
  • National Institute of Neurological Disorders and Stroke (R01NS046297)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
Keywords
single nucleotide polymorphisms, genetic ancestry, population structure, genetic matching, abacavir hypersensitivity, pharmacogenetics, disease genetics, dbGaP
MeSH terms
Abacavir, Drug Hypersensitivity, Female, Genetics, Population, Genotype, Humans, Male, Pharmacogenetics, Dideoxynucleosides, Genome, Human, Case-Control Studies, Polymorphism, Single Nucleotide, Databases, Genetic, Population Groups, White People

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