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

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

Open Access

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

Author(s) -

Roseann E. Peterson,

Karoline Kuchenbaecker,

Raymond K. Walters,

ChiaYen Chen,

Alice B. Popejoy,

Sathish Periyasamy,

Max Lam,

Conrad Iyegbe,

Rona J. Strawbridge,

Leslie A. Brick,

Caitlin E. Carey,

Alicia R. Martin,

Jacquelyn L. Meyers,

Jinni Su,

Junfang Chen,

Alexis C. Edwards,

Allan Kalungi,

Nastassja Koen,

Lerato Majara,

Emanuel Schwarz,

Jordan W. Smoller,

Eli A. Stahl,

Patrick F. Sullivan,

Evangelos Vassos,

Bryan Mowry,

Miguel L. Prieto,

Alfredo B. CuéllarBarboza,

Tim B. Bigdeli,

Howard J. Edenberg,

Hailiang Huang,

Laramie E. Duncan

Publication year - 2019

Publication title -

cell

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 26.304

H-Index - 776

eISSN - 1097-4172

pISSN - 0092-8674

DOI - 10.1016/j.cell.2019.08.051

Subject(s) - biology , genome wide association study , genetics , evolutionary biology , genome , computational biology , gene , genotype , single nucleotide polymorphism

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.

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