Unknown

Dataset Information

0

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

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.

SUBMITTER: Peterson RE 

PROVIDER: S-EPMC6939869 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

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

Peterson Roseann E RE   Kuchenbaecker Karoline K   Walters Raymond K RK   Chen Chia-Yen CY   Popejoy Alice B AB   Periyasamy Sathish S   Lam Max M   Iyegbe Conrad C   Strawbridge Rona J RJ   Brick Leslie L   Carey Caitlin E CE   Martin Alicia R AR   Meyers Jacquelyn L JL   Su Jinni J   Chen Junfang J   Edwards Alexis C AC   Kalungi Allan A   Koen Nastassja N   Majara Lerato L   Schwarz Emanuel E   Smoller Jordan W JW   Stahl Eli A EA   Sullivan Patrick F PF   Vassos Evangelos E   Mowry Bryan B   Prieto Miguel L ML   Cuellar-Barboza Alfredo A   Bigdeli Tim B TB   Edenberg Howard J HJ   Huang Hailiang H   Duncan Laramie E LE  

Cell 20191010 3

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, chall  ...[more]

Similar Datasets

Unknown Genome-Wide Association Studies of Cancer in Diverse Populations.
| S-EPMC5740019 | biostudies-literature
Unknown Editorial: Genome-wide association studies of COVID-19 among diverse human populations.
| S-EPMC9753975 | biostudies-literature
Unknown Genome-Wide Association Studies of HIV-1 Host Control in Ethnically Diverse Chinese Populations.
| S-EPMC4454153 | biostudies-literature
Unknown A framework for transcriptome-wide association studies in breast cancer in diverse study populations.
| S-EPMC7033948 | biostudies-literature
Unknown A statistical method for region-based meta-analysis of genome-wide association studies in genetically diverse populations.
| S-EPMC3306862 | biostudies-other
Unknown Opportunities and challenges for transcriptome-wide association studies.
| S-EPMC6777347 | biostudies-literature
Unknown Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations.
| S-EPMC3445408 | biostudies-literature
Unknown Adolescent Verbal Memory as a Psychosis Endophenotype: A Genome-Wide Association Study in an Ancestrally Diverse Sample.
| S-EPMC8774761 | biostudies-literature
Unknown A meta-analysis of genome-wide association studies for serum total IgE in diverse study populations.
| S-EPMC3596497 | biostudies-literature
Unknown An Overview of Strategies for Detecting Genotype-Phenotype Associations Across Ancestrally Diverse Populations.
| S-EPMC8602802 | biostudies-literature