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http://bura.brunel.ac.uk/handle/2438/30847
Title: | Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies |
Authors: | Adams, MJ Streit, F Meng, X Awasthi, S Adey, BN Choi, KW Chundru, VK Coleman, JRI Ferwerda, B Foo, JC Gerring, ZF Djurovic, S Docherty, AR Domschke, K Dowsett, J Drange, OK Dunn, EC Eaton, W Einarsson, G Giannakopoulou, O Gupta, P Hall, ASM Harder, A Howard, DM Hübel, C Kwong, ASF Levey, DF Mitchell, BL Ni, G Ota, VK Pain, O Pathak, GA Schulte, EC Shen, X Thorp, JG Walker, A Yao, S Zeng, J Zvrskovec, J Aarsland, D Actkins, KV Adli, M Agerbo, E Aichholzer, M Aiello, A Air, TM Als, TD Andersson, E Andlauer, TFM Arolt, V Ask, H Bäckman, J Badola, S Ballard, C Banasik, K Bass, NJ Beekman, ATF Belangero, S Bigdeli, TB Binder, EB Bjerkeset, O Bjornsdottir, G Børte, S Bränn, E Braun, A Brodersen, T Brückl, TM Brunak, S Bruun, MT Burmeister, M Buspavanich, P Bybjerg-Grauholm, J Byrne, EM Cai, J Campbell, A Campbell, ML Campos, AI Castelao, E Cervilla, J Chaumette, B Chen, CY Chen, HC Chen, Z Cichon, S Colodro-Conde, L Corbett, A Corfield, EC Couvy-Duchesne, B Craddock, N Dannlowski, U Davies, G de Geus, EJC Deary, IJ Degenhardt, F Dehghan, A DePaulo, JR Deuschle, M Didriksen, M Dinh, KM Direk, N |
Keywords: | genome-wide association study;GWAS;neurons;enrichment;targets;drugs;pharmacotherapies;depression;genetic |
Issue Date: | 14-Jan-2025 |
Publisher: | Elsevier |
Citation: | Adams, M.J. et al on behalf of the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2025) 'Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies', Cell, 188 (3), pp. 640 - 652 + e1 - e9. doi: 10.1016/j.cell.2024.12.002. |
Abstract: | In a genome-wide association study (GWAS) meta-analysis of 688,808 individuals with major depression (MD) and 4,364,225 controls from 29 countries across diverse and admixed ancestries, we identify 697 associations at 635 loci, 293 of which are novel. Using fine-mapping and functional tools, we find 308 high-confidence gene associations and enrichment of postsynaptic density and receptor clustering. A neural cell-type enrichment analysis utilizing single-cell data implicates excitatory, inhibitory, and medium spiny neurons and the involvement of amygdala neurons in both mouse and human single-cell analyses. The associations are enriched for antidepressant targets and provide potential repurposing opportunities. Polygenic scores trained using European or multi-ancestry data predicted MD status across all ancestries, explaining up to 5.8% of MD liability variance in Europeans. These findings advance our global understanding of MD and reveal biological targets that may be used to target and develop pharmacotherapies addressing the unmet need for effective treatment. |
Description: | Data and code availability:
• Summary statistics are available from Figshare through the following link https://pgc.unc.edu/for-researchers/download-results/ (https://doi.org/10.6084/m9.figshare.27061255). These data are publicly
available as of the date of publication.
• Individual data are made available following an approved application to the PGC Data Access Committee (https://pgc.unc.edu/for-researchers/data-access-committee/). These data are available as of the date of publication.
• Available summary statistics, including 23andMe data, require an approved application to 23andMe here: https://research.23andme.com/dataset-access/. These data are available as of the date of publication.
• Summary statistics for the Genetic Association Information Network (GAIN), NeuroGenetics Research Consortium (NGRC), Gene Environment Association Studies Initiative (GENEVA, Melanoma Study), and other studies are available from The Database of Genotypes and Phenotypes (dbGaP: https://dbgap.ncbi.nlm.nih.gov/). These data are available as of the date of publication. Instructions on how to access dbGap data are available here: https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/.
• Additional deposited reference dataset availability is here: Haplotype Reference Consortium (European Genome-Phenome Archive, https://ega-archive.org), GTEx v8 (GTEx Portal, https://gtexportal.org), Human Brain Cell Atlas (CELL×GENE Discover, https://cellxgene.cziscience.com/), eQTLGen (https://www.eqtlgen.org), MetaBrain (https://www.metabrain.nl), Brain pQTL (AD Knowledge Portal, https://adknowledgeportal.synapse.org), and SynGO (https://syngoportal.org/).
• Additional quality control information, gene-based association summary statistics in fastBAT (including figures), Hi-C, genetic correlation results, full drug target enrichment findings, single-cell enrichment figures, and PGS plots are also available for download from Figshare through the following link: https://pgc.unc.edu/for-researchers/download-results/ (https://doi.org/10.6084/m9.figshare.27089614). See STAR Methods for a key resources table. These data are publicly available as of the date of publication.
• Project code is available from https://github.com/psychiatric-genomics-consortium/mdd-wave3-meta. STAR★Methods are available online at: https://www.cell.com/cell/fulltext/S0092-8674(24)01415-6?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867424014156%3Fshowall%3Dtrue#sec-9 . Supplemental information is available online at: https://www.cell.com/cell/fulltext/S0092-8674(24)01415-6?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867424014156%3Fshowall%3Dtrue#app-1 . Consortia members are listed online at: https://www.sciencedirect.com/science/article/pii/S0092867424014156#sec5 . |
URI: | https://bura.brunel.ac.uk/handle/2438/30847 |
DOI: | https://doi.org/10.1016/j.cell.2024.12.002 |
ISSN: | 0092-8674 |
Other Identifiers: | ORCiD: Byron Creese https://orcid.org/0000-0001-6490-6037 |
Appears in Collections: | Dept of Life Sciences Research Papers |
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