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

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Article
en
2024

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

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en
2024
Vol 56 (2)
Vol. 56
DOI: 10.1038/s41588-023-01596-4

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Dan Joseph Stein
Dan Joseph Stein

Institution not specified

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Xiangrui Meng
Georgina Navoly
Olga Giannakopoulou
+73 more

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.

How to cite this publication

Xiangrui Meng, Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak, Nastassja Koen, Kuang Lin, Mark J. Adams, Miguel E. Rentería, Yanzhe Feng, J. Michael Gaziano, Dan Joseph Stein, Heather J. Zar, Megan L. Campbell, David A. van Heel, Bhavi Trivedi, Sarah Finer, Andrew McQuillin, Nicholas Bass, V. Kartik Chundru, Hilary C. Martin, Qin Qin Huang, Maria Valkovskaya, C. C. Chu, Susan Kanjira, Po‐Hsiu Kuo, Hsi‐Chung Chen, Shih‐Jen Tsai, Yu‐Li Liu, Kenneth S. Kendler, Roseann E. Peterson, Na Cai, Yu Fang, Srijan Sen, Laura J. Scott, Margit Burmeister, Ruth J. F. Loos, Michael Preuß, Ky’Era V. Actkins, Lea K. Davis, Monica Uddin, Agaz H. Wani, Derek E. Wildman, Allison E. Aiello, Robert J. Ursano, Ronald C. Kessler, Masahiro Kanai, Yukinori Okada, Saori Sakaue, Jill A. Rabinowitz, Brion S. Maher, George R. Uhl, William W. Eaton, Carlos S. Cruz-Fuentes, Gabriela Ariadna Martínez-Levy, Adrián I. Campos, Iona Y. Millwood, Zhengming Chen, Liming Li, Sylvia Wassertheil‐Smoller, Yunxuan Jiang, Chao Tian, Nicholas G. Martin, Brittany L. Mitchell, Enda M. Byrne, Swapnil Awasthi, Jonathan R. I. Coleman, Stephan Ripke, Tamar Sofer, Robin Walters, Andrew M. McIntosh, Renato Polimanti, Erin C. Dunn, Murray B. Stein, Joel Gelernter (2024). Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. , 56(2), DOI: https://doi.org/10.1038/s41588-023-01596-4.

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Publication Details

Type

Article

Year

2024

Authors

76

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/s41588-023-01596-4

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