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Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.

Authors :
Meng X
Navoly G
Giannakopoulou O
Levey DF
Koller D
Pathak GA
Koen N
Lin K
Adams MJ
RenterĂ­a ME
Feng Y
Gaziano JM
Stein DJ
Zar HJ
Campbell ML
van Heel DA
Trivedi B
Finer S
McQuillin A
Bass N
Chundru VK
Martin HC
Huang QQ
Valkovskaya M
Chu CY
Kanjira S
Kuo PH
Chen HC
Tsai SJ
Liu YL
Kendler KS
Peterson RE
Cai N
Fang Y
Sen S
Scott LJ
Burmeister M
Loos RJF
Preuss MH
Actkins KV
Davis LK
Uddin M
Wani AH
Wildman DE
Aiello AE
Ursano RJ
Kessler RC
Kanai M
Okada Y
Sakaue S
Rabinowitz JA
Maher BS
Uhl G
Eaton W
Cruz-Fuentes CS
Martinez-Levy GA
Campos AI
Millwood IY
Chen Z
Li L
Wassertheil-Smoller S
Jiang Y
Tian C
Martin NG
Mitchell BL
Byrne EM
Awasthi S
Coleman JRI
Ripke S
Sofer T
Walters RG
McIntosh AM
Polimanti R
Dunn EC
Stein MB
Gelernter J
Lewis CM
Kuchenbaecker K
Source :
Nature genetics [Nat Genet] 2024 Feb; Vol. 56 (2), pp. 222-233. Date of Electronic Publication: 2024 Jan 04.
Publication Year :
2024

Abstract

Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1546-1718
Volume :
56
Issue :
2
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
38177345
Full Text :
https://doi.org/10.1038/s41588-023-01596-4