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

dc.contributor.authorPeterson, Roseann E.
dc.contributor.authorKuchenbaecker, Karoline
dc.contributor.authorWalters, Raymond K.
dc.contributor.authorChen, Chia-Yen
dc.contributor.authorPopejoy, Alice B.
dc.contributor.authorPeriyasamy, Sathish
dc.contributor.authorLam, Max
dc.contributor.authorIyegbe, Conrad
dc.contributor.authorStrawbridge, Rona J.
dc.contributor.authorBrick, Leslie
dc.contributor.authorCarey, Caitlin E.
dc.contributor.authorMartin, Alicia R.
dc.contributor.authorMeyers, Jacquelyn L.
dc.contributor.authorSu, Jinni
dc.contributor.authorChen, Junfang
dc.contributor.authorEdwards, Alexis C.
dc.contributor.authorKalungi, Allan
dc.contributor.authorKoen, Nastassja
dc.contributor.authorMajara, Lerato
dc.contributor.authorSchwarz, Emanuel
dc.contributor.authorSmoller, Jordan W.
dc.contributor.authorStahl, Eli A.
dc.contributor.authorSullivan, Patrick F.
dc.contributor.authorVassos, Evangelos
dc.contributor.authorMowry, Bryan
dc.contributor.authorPrieto, Miguel L.
dc.contributor.authorCuellar-Barboza, Alfredo
dc.contributor.authorBigdeli, Tim B.
dc.contributor.authorEdenberg, Howard J.
dc.contributor.authorHuang, Hailiang
dc.contributor.authorDuncan, Laramie E.
dc.contributor.departmentBiochemistry and Molecular Biology, School of Medicineen_US
dc.date.accessioned2021-08-02T01:31:50Z
dc.date.available2021-08-02T01:31:50Z
dc.date.issued2019-10-10
dc.description.abstractGenome-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.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationPeterson, R. E., Kuchenbaecker, K., Walters, R. K., Chen, C.-Y., Popejoy, A. B., Periyasamy, S., Lam, M., Iyegbe, C., Strawbridge, R. J., Brick, L., Carey, C. E., Martin, A. R., Meyers, J. L., Su, J., Chen, J., Edwards, A. C., Kalungi, A., Koen, N., Majara, L., … Duncan, L. E. (2019). Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations. Cell, 179(3), 589–603. https://doi.org/10.1016/j.cell.2019.08.051en_US
dc.identifier.issn0092-8674, 1097-4172en_US
dc.identifier.urihttps://hdl.handle.net/1805/26314
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.cell.2019.08.051en_US
dc.relation.journalCellen_US
dc.sourcePMCen_US
dc.subjectGWASen_US
dc.subjectancestryen_US
dc.subjectdiversityen_US
dc.subjectcross-ancestryen_US
dc.subjecttrans-ancestryen_US
dc.subjecttrans-ethnicen_US
dc.subjectpopulation geneticsen_US
dc.subjectadmixed populationsen_US
dc.subjectpsychiatryen_US
dc.subjectcomplex diseaseen_US
dc.titleGenome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendationsen_US
dc.typeArticleen_US
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