Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.
dc.contributor.author | Meng, X | |
dc.contributor.author | Navoly, G | |
dc.contributor.author | Giannakopoulou, O | |
dc.contributor.author | Levey, DF | |
dc.contributor.author | Koller, D | |
dc.contributor.author | Pathak, GA | |
dc.contributor.author | Koen, N | |
dc.contributor.author | Lin, K | |
dc.contributor.author | Adams, MJ | |
dc.contributor.author | Rentería, ME | |
dc.contributor.author | Feng, Y | |
dc.contributor.author | Gaziano, JM | |
dc.contributor.author | Stein, DJ | |
dc.contributor.author | Zar, HJ | |
dc.contributor.author | Campbell, ML | |
dc.contributor.author | van Heel, DA | |
dc.contributor.author | Trivedi, B | |
dc.contributor.author | Finer, S | |
dc.contributor.author | McQuillin, A | |
dc.contributor.author | Bass, N | |
dc.contributor.author | Chundru, VK | |
dc.contributor.author | Martin, HC | |
dc.contributor.author | Huang, QQ | |
dc.contributor.author | Valkovskaya, M | |
dc.contributor.author | Chu, C-Y | |
dc.contributor.author | Kanjira, S | |
dc.contributor.author | Kuo, P-H | |
dc.contributor.author | Chen, H-C | |
dc.contributor.author | Tsai, S-J | |
dc.contributor.author | Liu, Y-L | |
dc.contributor.author | Kendler, KS | |
dc.contributor.author | Peterson, RE | |
dc.contributor.author | Cai, N | |
dc.contributor.author | Fang, Y | |
dc.contributor.author | Sen, S | |
dc.contributor.author | Scott, LJ | |
dc.contributor.author | Burmeister, M | |
dc.contributor.author | Loos, RJF | |
dc.contributor.author | Preuss, MH | |
dc.contributor.author | Actkins, KV | |
dc.contributor.author | Davis, LK | |
dc.contributor.author | Uddin, M | |
dc.contributor.author | Wani, AH | |
dc.contributor.author | Wildman, DE | |
dc.contributor.author | Aiello, AE | |
dc.contributor.author | Ursano, RJ | |
dc.contributor.author | Kessler, RC | |
dc.contributor.author | Kanai, M | |
dc.contributor.author | Okada, Y | |
dc.contributor.author | Sakaue, S | |
dc.contributor.author | Rabinowitz, JA | |
dc.contributor.author | Maher, BS | |
dc.contributor.author | Uhl, G | |
dc.contributor.author | Eaton, W | |
dc.contributor.author | Cruz-Fuentes, CS | |
dc.contributor.author | Martinez-Levy, GA | |
dc.contributor.author | Campos, AI | |
dc.contributor.author | Millwood, IY | |
dc.contributor.author | Chen, Z | |
dc.contributor.author | Li, L | |
dc.contributor.author | Wassertheil-Smoller, S | |
dc.contributor.author | Jiang, Y | |
dc.contributor.author | Tian, C | |
dc.contributor.author | Martin, NG | |
dc.contributor.author | Mitchell, BL | |
dc.contributor.author | Byrne, EM | |
dc.contributor.author | Awasthi, S | |
dc.contributor.author | Coleman, JRI | |
dc.contributor.author | Ripke, S | |
dc.contributor.author | PGC-MDD Working Group | |
dc.contributor.author | China Kadoorie Biobank Collaborative Group | |
dc.contributor.author | 23andMe Research Team | |
dc.contributor.author | Genes and Health Research Team | |
dc.contributor.author | BioBank Japan Project | |
dc.contributor.author | Sofer, T | |
dc.contributor.author | Walters, RG | |
dc.contributor.author | McIntosh, AM | |
dc.contributor.author | Polimanti, R | |
dc.contributor.author | Dunn, EC | |
dc.contributor.author | Stein, MB | |
dc.contributor.author | Gelernter, J | |
dc.contributor.author | Lewis, CM | |
dc.contributor.author | Kuchenbaecker, K | |
dc.date.accessioned | 2024-06-21T12:09:46Z | |
dc.date.issued | 2024-01-04 | |
dc.date.updated | 2024-06-19T12:53:38Z | |
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_GB |
dc.description.sponsorship | Veterans Affairs Office of Research and Development MVP | en_GB |
dc.description.sponsorship | VA Cooperative Studies Program | en_GB |
dc.description.sponsorship | Brain and Behavior Research Foundation | en_GB |
dc.format.extent | 222-233 | |
dc.format.medium | Print-Electronic | |
dc.identifier.citation | Vol. 56, No. 2, pp. 222-233 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41588-023-01596-4 | |
dc.identifier.grantnumber | CX001849- 01 (MVP025) | en_GB |
dc.identifier.grantnumber | CSP575B | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/136369 | |
dc.identifier | ORCID: 0000-0002-6348-5565 (Chundru, V Kartik) | |
dc.identifier | ScopusID: 57210139545 (Chundru, V Kartik) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/38177345 | en_GB |
dc.relation.url | https://www.med.unc.edu/pgc/download-results/ | en_GB |
dc.relation.url | https://research.23andme.com/collaborate/#dataset-access/ | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/gap/ | en_GB |
dc.relation.url | https://doi.org/10.5281/zenodo.8335659 | en_GB |
dc.rights | © The Author(s) 2024. Open Access 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/. | en_GB |
dc.subject | Depression | en_GB |
dc.subject | Genome-wide association studies | en_GB |
dc.title | Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-06-21T12:09:46Z | |
dc.identifier.issn | 1061-4036 | |
exeter.place-of-publication | United States | |
dc.description | This is the final version. Available from Nature Research via the DOI in this record. | en_GB |
dc.description | Data availability: GWAS summary statistics will be made available via the PGC website (https://www.med.unc.edu/pgc/download-results/) under dataset identifier ‘mdd2023diverse’. 23andMe, WHI and JHS do not permit sharing of genome-wide summary statistics. The full GWAS summary statistics for the 23andMe discovery dataset will be made available through 23andMe to qualified researchers under an agreement with 23andMe that protects the privacy of the 23andMe participants. Please visit https://research.23andme.com/collaborate/#dataset-access/ for more information and to apply to access the data. Investigators can apply for access to WHI and JHS via dbGaP (https://www.ncbi.nlm.nih.gov/gap/). The current study utilized data from dbGaP studies under application #18933. | en_GB |
dc.description | Code availability: We used publicly available software for the analyses. The software used is listed in the Methods section. Custom analysis scripts are available at https://doi.org/10.5281/zenodo.8335659. References | en_GB |
dc.identifier.eissn | 1546-1718 | |
dc.identifier.journal | Nature Genetics | en_GB |
dc.relation.ispartof | Nat Genet, 56(2) | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-10-26 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-01-04 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-06-21T12:01:35Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-06-21T12:11:28Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2024-01-04 |
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