Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations.
Name:
Publisher version
View Source
Access full-text PDFOpen Access
View Source
Check access options
Check access options
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Author
Peterson, Roseann EKuchenbaecker, Karoline
Walters, Raymond K
Chen, Chia-Yen
Popejoy, Alice B
Periyasamy, Sathish
Lam, Max
Iyegbe, Conrad
Strawbridge, Rona J
Brick, Leslie
Carey, Caitlin E
Martin, Alicia R
Meyers, Jacquelyn L
Su, Jinni
Chen, Junfang
Edwards, Alexis C
Kalungi, Allan
Koen, Nastassja
Majara, Lerato
Schwarz, Emanuel
Smoller, Jordan W
Stahl, Eli A
Sullivan, Patrick F
Vassos, Evangelos
Mowry, Bryan
Prieto, Miguel L
Cuellar-Barboza, Alfredo
Bigdeli, Tim B
Edenberg, Howard J
Huang, Hailiang
Duncan, Laramie E
Keyword
GWASadmixed populations
ancestry
complex disease
cross-ancestry
diversity
population genetics
psychiatry
trans-ancestry
trans-ethnic
Journal title
CellDate Published
2019-10-10Publication Volume
179Publication Issue
3Publication Begin page
589Publication End page
603
Metadata
Show full item recordAbstract
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.Citation
Peterson 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.DOI
10.1016/j.cell.2019.08.051ae974a485f413a2113503eed53cd6c53
10.1016/j.cell.2019.08.051
Scopus Count
Collections
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Copyright © 2019 Elsevier Inc. All rights reserved.
Related articles
- Identification of genetic risk loci and causal insights associated with Parkinson's disease in African and African admixed populations: a genome-wide association study.
- Authors: Rizig M, Bandres-Ciga S, Makarious MB, Ojo OO, Crea PW, Abiodun OV, Levine KS, Abubakar SA, Achoru CO, Vitale D, Adeniji OA, Agabi OP, Koretsky MJ, Agulanna U, Hall DA, Akinyemi RO, Xie T, Ali MW, Shamim EA, Ani-Osheku I, Padmanaban M, Arigbodi OM, Standaert DG, Bello AH, Dean MN, Erameh CO, Elsayed I, Farombi TH, Okunoye O, Fawale MB, Billingsley KJ, Imarhiagbe FA, Jerez PA, Iwuozo EU, Baker B, Komolafe MA, Malik L, Nwani PO, Daida K, Nwazor EO, Miano-Burkhardt A, Nyandaiti YW, Fang ZH, Obiabo YO, Kluss JH, Odeniyi OA, Hernandez DG, Odiase FE, Tayebi N, Ojini FI, Sidranksy E, Onwuegbuzie GA, D'Souza AM, Osaigbovo GO, Berhe B, Osemwegie N, Reed X, Oshinaike OO, Leonard HL, Otubogun FM, Alvarado CX, Oyakhire SI, Ozomma SI, Samuel SC, Taiwo FT, Wahab KW, Zubair YA, Iwaki H, Kim JJ, Morris HR, Hardy J, Nalls MA, Heilbron K, Norcliffe-Kaufmann L, Nigeria Parkinson Disease Research Network, International Parkinson's Disease Genomics Consortium Africa, Black and African American Connections to Parkinson's Disease Study Group, 23andMe Research Team, Blauwendraat C, Houlden H, Singleton A, Okubadejo NU, Global Parkinson's Genetics Program
- Issue date: 2023 Nov
- Genome-wide Association Identifies Novel Etiological Insights Associated with Parkinson's Disease in African and African Admixed Populations.
- Authors: Rizig M, Bandres-Ciga S, Makarious MB, Ojo O, Crea PW, Abiodun O, Levine KS, Abubakar S, Achoru C, Vitale D, Adeniji O, Agabi O, Koretsky MJ, Agulanna U, Hall DA, Akinyemi R, Xie T, Ali M, Shamim EA, Ani-Osheku I, Padmanaban M, Arigbodi O, Standaert DG, Bello A, Dean M, Erameh C, Elsayed I, Farombi T, Okunoye O, Fawale M, Billingsley KJ, Imarhiagbe F, Jerez PA, Iwuozo E, Baker B, Komolafe M, Malik L, Nwani P, Daida K, Nwazor E, Miano-Burkhardt A, Nyandaiti Y, Fang ZH, Obiabo Y, Kluss JH, Odeniyi O, Hernandez D, Odiase F, Tayebi N, Ojini F, Sidranksy E, Onwuegbuzie G, D'Souza AM, Osaigbovo G, Berhe B, Osemwegie N, Reed X, Oshinaike O, Leonard H, Otubogun F, Alvarado CX, Oyakhire S, Ozomma S, Samuel S, Taiwo F, Wahab K, Zubair Y, Iwaki H, Kim JJ, Morris HR, Hardy J, Nalls M, Heilbron K, Norcliffe-Kaufmann L, Disease Research Network, International Parkinson’s Disease Genomics Consortium - Africa (IPDGC Africa), Black and African American Connections to Parkinson’s Disease (BLAAC PD) Study Group, the 23andMe Research Team, Blauwendraat C, Houlden H, Singleton A, Okubadejo N
- Issue date: 2023 May 7
- Benchmarking Relatedness Inference Methods with Genome-Wide Data from Thousands of Relatives.
- Authors: Ramstetter MD, Dyer TD, Lehman DM, Curran JE, Duggirala R, Blangero J, Mezey JG, Williams AL
- Issue date: 2017 Sep
- Robust genome-wide ancestry inference for heterogeneous datasets: illustrated using the 1,000 genome project with 3D facial images.
- Authors: Li J, Zarzar TG, White JD, Indencleef K, Hoskens H, Matthews H, Nauwelaers N, Zaidi A, Eller RJ, Herrick N, Günther T, Svensson EM, Jakobsson M, Walsh S, Van Steen K, Shriver MD, Claes P
- Issue date: 2020 Jul 16
- The utility of empirically assigning ancestry groups in cross-population genetic studies of addiction.
- Authors: Peterson RE, Edwards AC, Bacanu SA, Dick DM, Kendler KS, Webb BT
- Issue date: 2017 Aug