Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations.
By Roseann E. Peterson, K. Kuchenbaecker, R. Walters, Chia-Yen Chen, A. Popejoy, S. Periyasamy, Max W. Y. Lam, C. Iyegbe, R. Strawbridge, L. Brick and 21 more. Cell, 2019
634 citations recorded by the source corpus.
Genome-wide association studies (GWAS) 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.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/6530c6954e593d8e8f6f528ce8059ced57f39655
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In Genetics
Citations in the corpus
- Polygenic risk scores: from research tools to clinical instruments (2020, background): “Such studies are currently only widely available in European ancestries [22, 23], so polygenic risk scores are applicable to only a small proportion of the world’s population; in this paper, unless otherwise stated, study participants are of European ancestries.”