Harmonizing Genetic Ancestry and Self-identified Race/Ethnicity in Genome-wide Association Studies.
biobank
ethnicity-specific trait loci
genetic ancestry
multi-ethnic cohort
self-reported race/ethnicity
stratified analysis
trans-ethnic GWAS
Journal
American journal of human genetics
ISSN: 1537-6605
Titre abrégé: Am J Hum Genet
Pays: United States
ID NLM: 0370475
Informations de publication
Date de publication:
03 10 2019
03 10 2019
Historique:
received:
07
04
2019
accepted:
28
08
2019
pubmed:
1
10
2019
medline:
3
4
2020
entrez:
1
10
2019
Statut:
ppublish
Résumé
Large-scale multi-ethnic cohorts offer unprecedented opportunities to elucidate the genetic factors influencing complex traits related to health and disease among minority populations. At the same time, the genetic diversity in these cohorts presents new challenges for analysis and interpretation. We consider the utility of race and/or ethnicity categories in genome-wide association studies (GWASs) of multi-ethnic cohorts. We demonstrate that race/ethnicity information enhances the ability to understand population-specific genetic architecture. To address the practical issue that self-identified racial/ethnic information may be incomplete, we propose a machine learning algorithm that produces a surrogate variable, termed HARE. We use height as a model trait to demonstrate the utility of HARE and ethnicity-specific GWASs.
Identifiants
pubmed: 31564439
pii: S0002-9297(19)30338-6
doi: 10.1016/j.ajhg.2019.08.012
pmc: PMC6817526
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
763-772Subventions
Organisme : NINR NIH HHS
ID : R01 NR013520
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM073059
Pays : United States
Organisme : BLRD VA
ID : I01 BX003340
Pays : United States
Organisme : BLRD VA
ID : I01 BX003362
Pays : United States
Organisme : BLRD VA
ID : I01 BX002641
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM127063
Pays : United States
Investigateurs
J Michael Gaziano
(JM)
Rachel Ramoni
(R)
Jim Breeling
(J)
Kyong-Mi Chang
(KM)
Grant Huang
(G)
Sumitra Muralidhar
(S)
Christopher J O'Donnell
(CJ)
Philip S Tsao
(PS)
Sumitra Muralidhar
(S)
Jennifer Moser
(J)
Stacey B Whitbourne
(SB)
Jessica V Brewer
(JV)
John Concato
(J)
Stuart Warren
(S)
Dean P Argyres
(DP)
Brady Stephens
(B)
Mary T Brophy
(MT)
Donald E Humphries
(DE)
Nhan Do
(N)
Shahpoor Shayan
(S)
Xuan-Mai T Nguyen
(XT)
Saiju Pyarajan
(S)
Kelly Cho
(K)
Elizabeth Hauser
(E)
Yan Sun
(Y)
Hongyu Zhao
(H)
Peter Wilson
(P)
Rachel McArdle
(R)
Louis Dellitalia
(L)
John Harley
(J)
Jeffrey Whittle
(J)
Jean Beckham
(J)
John Wells
(J)
Salvador Gutierrez
(S)
Gretchen Gibson
(G)
Laurence Kaminsky
(L)
Gerardo Villareal
(G)
Scott Kinlay
(S)
Junzhe Xu
(J)
Mark Hamner
(M)
Kathlyn Sue Haddock
(KS)
Sujata Bhushan
(S)
Pran Iruvanti
(P)
Michael Godschalk
(M)
Zuhair Ballas
(Z)
Malcolm Buford
(M)
Stephen Mastorides
(S)
Jon Klein
(J)
Nora Ratcliffe
(N)
Hermes Florez
(H)
Alan Swann
(A)
Maureen Murdoch
(M)
Peruvemba Sriram
(P)
Shing Shing Yeh
(SS)
Ronald Washburn
(R)
Darshana Jhala
(D)
Samuel Aguayo
(S)
David Cohen
(D)
Satish Sharma
(S)
John Callaghan
(J)
Kris Ann Oursler
(KA)
Mary Whooley
(M)
Sunil Ahuja
(S)
Amparo Gutierrez
(A)
Ronald Schifman
(R)
Jennifer Greco
(J)
Michael Rauchman
(M)
Richard Servatius
(R)
Mary Oehlert
(M)
Agnes Wallbom
(A)
Ronald Fernando
(R)
Timothy Morgan
(T)
Todd Stapley
(T)
Scott Sherman
(S)
Gwenevere Anderson
(G)
Elif Sonel
(E)
Edward Boyko
(E)
Laurence Meyer
(L)
Samir Gupta
(S)
Joseph Fayad
(J)
Adriana Hung
(A)
Jack Lichy
(J)
Robin Hurley
(R)
Brooks Robey
(B)
Robert Striker
(R)
Informations de copyright
Copyright © 2019 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.
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