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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.date.accessioned2023-02-13T20:35:17Z
dc.date.available2023-02-13T20:35:17Z
dc.date.issued2019-10-10
dc.identifier.citationPeterson RE, Kuchenbaecker K, Walters RK, Chen CY, Popejoy AB, Periyasamy S, Lam M, Iyegbe C, Strawbridge RJ, Brick L, Carey CE, Martin AR, Meyers JL, Su J, Chen J, Edwards AC, Kalungi A, Koen N, Majara L, Schwarz E, Smoller JW, Stahl EA, Sullivan PF, Vassos E, Mowry B, Prieto ML, Cuellar-Barboza A, Bigdeli TB, Edenberg HJ, Huang H, Duncan LE. Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations. Cell. 2019 Oct 17;179(3):589-603. doi: 10.1016/j.cell.2019.08.051. Epub 2019 Oct 10. PMID: 31607513; PMCID: PMC6939869.en_US
dc.identifier.eissn1097-4172
dc.identifier.doi10.1016/j.cell.2019.08.051
dc.identifier.pmid31607513
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8361
dc.description.abstractGenome-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.
dc.language.isoenen_US
dc.relation.urlhttps://www.cell.com/cell/fulltext/S0092-8674(19)31002-5en_US
dc.rightsCopyright © 2019 Elsevier Inc. All rights reserved.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGWASen_US
dc.subjectadmixed populationsen_US
dc.subjectancestryen_US
dc.subjectcomplex diseaseen_US
dc.subjectcross-ancestryen_US
dc.subjectdiversityen_US
dc.subjectpopulation geneticsen_US
dc.subjectpsychiatryen_US
dc.subjecttrans-ancestryen_US
dc.subjecttrans-ethnicen_US
dc.titleGenome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleCellen_US
dc.source.volume179
dc.source.issue3
dc.source.beginpage589
dc.source.endpage603
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.description.versionVoRen_US
refterms.dateFOA2023-02-13T20:35:17Z
html.description.abstractGenome-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.
dc.description.institutionSUNY Downstateen_US
dc.description.departmentPsychiatry and Behavioral Sciencesen_US
dc.description.departmentInstitute for Genomics in Healthen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalCell


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Copyright © 2019 Elsevier Inc. All rights reserved.
Except where otherwise noted, this item's license is described as Copyright © 2019 Elsevier Inc. All rights reserved.