dc.contributor.author | Meng, X | en_US |
dc.contributor.author | Navoly, G | en_US |
dc.contributor.author | Giannakopoulou, O | en_US |
dc.contributor.author | Levey, DF | en_US |
dc.contributor.author | Koller, D | en_US |
dc.contributor.author | Pathak, GA | en_US |
dc.contributor.author | Koen, N | en_US |
dc.contributor.author | Lin, K | en_US |
dc.contributor.author | Adams, MJ | en_US |
dc.contributor.author | Rentería, ME | en_US |
dc.contributor.author | Feng, Y | en_US |
dc.contributor.author | Gaziano, JM | en_US |
dc.contributor.author | Stein, DJ | en_US |
dc.contributor.author | Zar, HJ | en_US |
dc.contributor.author | Campbell, ML | en_US |
dc.contributor.author | van Heel, DA | en_US |
dc.contributor.author | Trivedi, B | en_US |
dc.contributor.author | Finer, S | en_US |
dc.contributor.author | McQuillin, A | en_US |
dc.contributor.author | Bass, N | en_US |
dc.contributor.author | Chundru, VK | en_US |
dc.contributor.author | Martin, HC | en_US |
dc.contributor.author | Huang, QQ | en_US |
dc.contributor.author | Valkovskaya, M | en_US |
dc.contributor.author | Chu, C-Y | en_US |
dc.contributor.author | Kanjira, S | en_US |
dc.contributor.author | Kuo, P-H | en_US |
dc.contributor.author | Chen, H-C | en_US |
dc.contributor.author | Tsai, S-J | en_US |
dc.contributor.author | Liu, Y-L | en_US |
dc.contributor.author | Kendler, KS | en_US |
dc.contributor.author | Peterson, RE | en_US |
dc.contributor.author | Cai, N | en_US |
dc.contributor.author | Fang, Y | en_US |
dc.contributor.author | Sen, S | en_US |
dc.contributor.author | Scott, LJ | en_US |
dc.contributor.author | Burmeister, M | en_US |
dc.contributor.author | Loos, RJF | en_US |
dc.contributor.author | Preuss, MH | en_US |
dc.contributor.author | Actkins, KV | en_US |
dc.contributor.author | Davis, LK | en_US |
dc.contributor.author | Uddin, M | en_US |
dc.contributor.author | Wani, AH | en_US |
dc.contributor.author | Wildman, DE | en_US |
dc.contributor.author | Aiello, AE | en_US |
dc.contributor.author | Ursano, RJ | en_US |
dc.contributor.author | Kessler, RC | en_US |
dc.contributor.author | Kanai, M | en_US |
dc.contributor.author | Okada, Y | en_US |
dc.contributor.author | Sakaue, S | en_US |
dc.contributor.author | Rabinowitz, JA | en_US |
dc.contributor.author | Maher, BS | en_US |
dc.contributor.author | Uhl, G | en_US |
dc.contributor.author | Eaton, W | en_US |
dc.contributor.author | Cruz-Fuentes, CS | en_US |
dc.contributor.author | Martinez-Levy, GA | en_US |
dc.contributor.author | Campos, AI | en_US |
dc.contributor.author | Millwood, IY | en_US |
dc.contributor.author | Chen, Z | en_US |
dc.contributor.author | Li, L | en_US |
dc.contributor.author | Wassertheil-Smoller, S | en_US |
dc.contributor.author | Jiang, Y | en_US |
dc.contributor.author | Tian, C | en_US |
dc.contributor.author | Martin, NG | en_US |
dc.contributor.author | Mitchell, BL | en_US |
dc.contributor.author | Byrne, EM | en_US |
dc.contributor.author | Awasthi, S | en_US |
dc.contributor.author | Coleman, JRI | en_US |
dc.contributor.author | Ripke, S | en_US |
dc.contributor.author | PGC-MDD Working Group | en_US |
dc.contributor.author | China Kadoorie Biobank Collaborative Group | en_US |
dc.contributor.author | 23andMe Research Team | en_US |
dc.contributor.author | Genes and Health Research Team | en_US |
dc.contributor.author | BioBank Japan Project | en_US |
dc.contributor.author | Sofer, T | en_US |
dc.contributor.author | Walters, RG | en_US |
dc.contributor.author | McIntosh, AM | en_US |
dc.contributor.author | Polimanti, R | en_US |
dc.contributor.author | Dunn, EC | en_US |
dc.contributor.author | Stein, MB | en_US |
dc.contributor.author | Gelernter, J | en_US |
dc.contributor.author | Lewis, CM | en_US |
dc.contributor.author | Kuchenbaecker, K | en_US |
dc.date.accessioned | 2024-02-28T08:54:54Z | |
dc.date.available | 2023-10-26 | en_US |
dc.date.issued | 2024-02 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/94947 | |
dc.description.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. | en_US |
dc.format.extent | 222 - 233 | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Nat Genet | en_US |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions | |
dc.subject | Humans | en_US |
dc.subject | Genome-Wide Association Study | en_US |
dc.subject | Genetic Predisposition to Disease | en_US |
dc.subject | Depressive Disorder, Major | en_US |
dc.subject | Depression | en_US |
dc.subject | Chromosome Mapping | en_US |
dc.subject | Polymorphism, Single Nucleotide | en_US |
dc.title | Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. | en_US |
dc.type | Article | |
dc.identifier.doi | 10.1038/s41588-023-01596-4 | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/38177345 | en_US |
pubs.issue | 2 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 56 | en_US |
dcterms.dateAccepted | 2023-10-26 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | Harnessing the Melanocortin System (MCS)to moderate inflammation and enhance healthy ageing::LIDo Programme - BBSRC | en_US |