Genome-wide association studies in diverse populations

Noah A. Rosenberg; Lucy Huang; Ethan M. Jewett; Zachary A. Szpiech; Ivana Jankovic; Michael Boehnke

doi:10.1038/nrg2760

Genome-wide association studies in diverse populations

Noah A. Rosenberg
, Lucy Huang
, Ethan M. Jewett
, Zachary A. Szpiech
, Ivana Jankovic
, Michael Boehnke

Biology

Research output: Contribution to journal › Review article › peer-review

483 Scopus citations

Abstract

Genome-wide association (GWA) studies have identified a large number of SNPs associated with disease phenotypes. As most GWA studies have been performed in populations of European descent, this Review examines the issues involved in extending the consideration of GWA studies to diverse worldwide populations. Although challenges exist with issues such as imputation, admixture and replication, investigation of a greater diversity of populations could make substantial contributions to the goal of mapping the genetic determinants of complex diseases for the human population as a whole.

Original language	English (US)
Pages (from-to)	356-366
Number of pages	11
Journal	Nature Reviews Genetics
Volume	11
Issue number	5
DOIs	https://doi.org/10.1038/nrg2760
State	Published - May 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Molecular Biology
Genetics
Genetics(clinical)

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10.1038/nrg2760

Cite this

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title = "Genome-wide association studies in diverse populations",

abstract = "Genome-wide association (GWA) studies have identified a large number of SNPs associated with disease phenotypes. As most GWA studies have been performed in populations of European descent, this Review examines the issues involved in extending the consideration of GWA studies to diverse worldwide populations. Although challenges exist with issues such as imputation, admixture and replication, investigation of a greater diversity of populations could make substantial contributions to the goal of mapping the genetic determinants of complex diseases for the human population as a whole.",

author = "Rosenberg, \{Noah A.\} and Lucy Huang and Jewett, \{Ethan M.\} and Szpiech, \{Zachary A.\} and Ivana Jankovic and Michael Boehnke",

note = "Funding Information: We thank L. Hindorff for detailed information on the National Human Genome Research Institute (NHGRI) catalogue of GWA studies, the DIAGRAM Consortium for use of prepublication data, J. Li and S. Z{\"o}llner for helpful discussions, and N. Patterson and an anonymous reviewer for comments on a draft of the manuscript. We are grateful to M. DeGiorgio, M. Jakobsson, S. Reddy and P. Scheet for assistance with Box 1 and with figure preparation. Support was provided by US National Institutes of Health grants DK062370, GM081441, HG000376 and HL090564, and by grants from the Burroughs Wellcome Fund and the Alfred P. Sloan Foundation.",

year = "2010",

month = may,

doi = "10.1038/nrg2760",

language = "English (US)",

volume = "11",

pages = "356--366",

journal = "Nature Reviews Genetics",

issn = "1471-0056",

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T1 - Genome-wide association studies in diverse populations

AU - Rosenberg, Noah A.

AU - Huang, Lucy

AU - Jewett, Ethan M.

AU - Szpiech, Zachary A.

AU - Jankovic, Ivana

AU - Boehnke, Michael

N1 - Funding Information: We thank L. Hindorff for detailed information on the National Human Genome Research Institute (NHGRI) catalogue of GWA studies, the DIAGRAM Consortium for use of prepublication data, J. Li and S. Zöllner for helpful discussions, and N. Patterson and an anonymous reviewer for comments on a draft of the manuscript. We are grateful to M. DeGiorgio, M. Jakobsson, S. Reddy and P. Scheet for assistance with Box 1 and with figure preparation. Support was provided by US National Institutes of Health grants DK062370, GM081441, HG000376 and HL090564, and by grants from the Burroughs Wellcome Fund and the Alfred P. Sloan Foundation.

PY - 2010/5

Y1 - 2010/5

N2 - Genome-wide association (GWA) studies have identified a large number of SNPs associated with disease phenotypes. As most GWA studies have been performed in populations of European descent, this Review examines the issues involved in extending the consideration of GWA studies to diverse worldwide populations. Although challenges exist with issues such as imputation, admixture and replication, investigation of a greater diversity of populations could make substantial contributions to the goal of mapping the genetic determinants of complex diseases for the human population as a whole.

AB - Genome-wide association (GWA) studies have identified a large number of SNPs associated with disease phenotypes. As most GWA studies have been performed in populations of European descent, this Review examines the issues involved in extending the consideration of GWA studies to diverse worldwide populations. Although challenges exist with issues such as imputation, admixture and replication, investigation of a greater diversity of populations could make substantial contributions to the goal of mapping the genetic determinants of complex diseases for the human population as a whole.

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UR - https://www.scopus.com/pages/publications/77951133654#tab=citedBy

U2 - 10.1038/nrg2760

DO - 10.1038/nrg2760

M3 - Review article

C2 - 20395969

AN - SCOPUS:77951133654

SN - 1471-0056

VL - 11

SP - 356

EP - 366

JO - Nature Reviews Genetics

JF - Nature Reviews Genetics

IS - 5

ER -

Genome-wide association studies in diverse populations

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

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