Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

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

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 J. Stein, Heather J. Zar, Megan L. Campbell, David A. van Heel, Bhavi Trivedi, Sarah Finer, Andrew McQuillin, Nick 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, PGC-MDD Working Group, China Kadoorie Biobank Collaborative Group, BioBank Japan Project, Tamar Sofer, Robin Walters, Andrew M. McIntosh, Renato Polimanti, Erin C. Dunn, Murray B. Stein, Joel Gelernter, Cathryn M. Lewis, Karoline Kuchenbaecker

Nature Genetics · 2024

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Summary

This multi-ancestry genome-wide association meta-analysis substantially expanded depression genetics research by including 88,316 cases and 902,757 controls across African, East Asian, South Asian, and Hispanic/Latin American populations, alongside European ancestry samples. The study identified 53 novel loci and 205 genes associated with major depression, whilst demonstrating that genetic findings from European ancestry samples do not consistently transfer to other populations. The findings underscore the importance of ancestral diversity in psychiatric genetic research to ensure equitable discovery and improve understanding of core depression biology across populations.

UK applicability

These findings are relevant to the United Kingdom's psychiatric and genomic research communities, suggesting that UK-based depression genetics studies and clinical applications would benefit from greater ancestral diversity in cohort recruitment and analysis. The results indicate that genetic risk stratification tools developed primarily in European ancestry samples may have limited applicability to UK populations of African, Asian, or other non-European ancestry.

Key measures

Genome-wide association significance thresholds, fine-mapping analysis, transcriptome-wide association study results, ancestry-stratified effect sizes, genetic transferability estimates

Outcomes reported

The study identified 53 novel genetic loci associated with major depression across multiple ancestry groups and used transcriptome-wide association analysis to identify 205 significantly associated genes. The research examined the transferability of depression-associated genetic variants across different ancestry populations.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Human clinical
DOI
10.1038/s41588-023-01596-4
Catalogue ID
SNmoj1y7c9-izhkxp

Topic tags

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