| Literature DB >> 31607513 |
Roseann E Peterson1, Karoline Kuchenbaecker2, Raymond K Walters3, Chia-Yen Chen4, Alice B Popejoy5, Sathish Periyasamy6, Max Lam3, Conrad Iyegbe7, Rona J Strawbridge8, Leslie Brick9, Caitlin E Carey10, Alicia R Martin3, Jacquelyn L Meyers11, Jinni Su12, Junfang Chen13, Alexis C Edwards14, Allan Kalungi15, Nastassja Koen16, Lerato Majara17, Emanuel Schwarz13, Jordan W Smoller18, Eli A Stahl19, Patrick F Sullivan20, Evangelos Vassos21, Bryan Mowry6, Miguel L Prieto22, Alfredo Cuellar-Barboza23, Tim B Bigdeli11, Howard J Edenberg24, Hailiang Huang3, Laramie E Duncan25.
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.Entities:
Keywords: GWAS; admixed populations; ancestry; complex disease; cross-ancestry; diversity; population genetics; psychiatry; trans-ancestry; trans-ethnic
Mesh：
Year: 2019 PMID： 31607513 PMCID： PMC6939869 DOI： 10.1016/j.cell.2019.08.051
Source DB: PubMed Journal: Cell ISSN： 0092-8674 Impact factor: 41.582