Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations

Roseann E. Peterson, Karoline Kuchenbaecker, Raymond K. Walters, Chia Yen Chen, Alice B. Popejoy, Sathish Periyasamy, Max Lam, Conrad Iyegbe, Rona J. Strawbridge, Leslie Brick, Caitlin E. Carey, Alicia R. Martin, Jacquelyn L. Meyers, Jinni Su, Junfang Chen, Alexis C. Edwards, Allan Kalungi, Nastassja Koen, Lerato Majara, Emanuel SchwarzJordan W. Smoller, Eli A. Stahl, Patrick F. Sullivan, Evangelos Vassos, Bryan Mowry, Miguel L. Prieto, Alfredo Cuellar-Barboza, Tim B. Bigdeli, Howard J. Edenberg, Hailiang Huang, Laramie E. Duncan

Research output: Contribution to journalReview articlepeer-review

73 Scopus citations

Abstract

Genome-wide association studies (GWASs) have focused primarily on populations of European descent, but it is essential that diverse populations become better represented. Increasing diversity among study participants will advance our understanding of genetic architecture in all populations and ensure that genetic research is broadly applicable. To facilitate and promote research in multi-ancestry and admixed cohorts, we outline key methodological considerations and highlight opportunities, challenges, solutions, and areas in need of development. Despite the perception that analyzing genetic data from diverse populations is difficult, it is scientifically and ethically imperative, and there is an expanding analytical toolbox to do it well.

Original languageEnglish
Pages (from-to)589-603
Number of pages15
JournalCell
Volume179
Issue number3
DOIs
StatePublished - 17 Oct 2019

Bibliographical note

Funding Information:
The authors acknowlesdge the support and helpful discussions with many members in the Psychiatric Genomics Consortium (PGC), which is supported by the National Institutes of Health (NIH) grants U01 MH109528, MH109539, MH109539, MH109536, MH109501, MH109514, MH109499, and MH109532. R.E.P. is supported by NIH grant K01 MH113848. K.K. is supported by Wellcome Trust grant 212360/Z/18/Z. R.K.W. is supported by the Stanley Center for Psychiatric Research and the National Institutes of Health (5U01MH109539). A.B.P. is supported by a postdoctoral fellowship from the Stanford Center for Computational, Evolutionary, and Human Genomics (CEHG). C.I. is supported by the NARSAD Young Investigator Award grant 22604. R.J.S. is supported by a UKRI Innovation-HDR-UK Fellowship (MR/S003061/1). A.R.M. is supported by NIH grant K99MH117229. M.L.P. is supported in part by grant CONICYT FONDECYT 1181365 and grant CONICYT FONDEF ID1910116. H.H. is supported by NIH K01DK114379, R21AI139012, the Zhengxu & Ying He Foundation, and the Stanley Center for Psychiatric Research. L.D. was supported by UL1 TR001085 and the Stanford Department of Psychiatry and Behavioral Sciences. P.F.S. was supported by the Swedish Research Council (Vetenskapsr?det, award D0886501), the Horizon 2020 Program of the European Union (COSYN, RIA grant agreement number 610307), and US NIMH (U01 MH109528 and R01 MH077139). P.F. Sullivan reports the following potentially competing financial interests. Current: Lundbeck (advisory committee, grant recipient). Past three years: Pfizer (scientific advisory board).

Funding Information:
The authors acknowlesdge the support and helpful discussions with many members in the Psychiatric Genomics Consortium (PGC), which is supported by the National Institutes of Health (NIH) grants U01 MH109528 , MH109539 , MH109539 , MH109536 , MH109501 , MH109514 , MH109499 , and MH109532 . R.E.P. is supported by NIH grant K01 MH113848 . K.K. is supported by Wellcome Trust grant 212360/Z/18/Z . R.K.W. is supported by the Stanley Center for Psychiatric Research and the National Institutes of Health ( 5U01MH109539 ). A.B.P. is supported by a postdoctoral fellowship from the Stanford Center for Computational, Evolutionary, and Human Genomics (CEHG). C.I. is supported by the NARSAD Young Investigator Award grant 22604 . R.J.S. is supported by a UKRI Innovation-HDR-UK Fellowship ( MR/S003061/1 ). A.R.M. is supported by NIH grant K99MH117229 . M.L.P. is supported in part by grant CONICYT FONDECYT 1181365 and grant CONICYT FONDEF ID1910116 . H.H. is supported by NIH K01DK114379 , R21AI139012 , the Zhengxu & Ying He Foundation , and the Stanley Center for Psychiatric Research . L.D. was supported by UL1 TR001085 and the Stanford Department of Psychiatry and Behavioral Sciences . P.F.S. was supported by the Swedish Research Council (Vetenskapsrådet, award D0886501 ), the Horizon 2020 Program of the European Union (COSYN, RIA grant agreement number 610307 ), and US NIMH ( U01 MH109528 and R01 MH077139 ).

Publisher Copyright:
© 2019 Elsevier Inc.

Keywords

  • GWAS
  • admixed populations
  • ancestry
  • complex disease
  • cross-ancestry
  • diversity
  • population genetics
  • psychiatry
  • trans-ancestry
  • trans-ethnic

Fingerprint

Dive into the research topics of 'Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations'. Together they form a unique fingerprint.

Cite this