Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Royal Edinburgh Hospital · University of Edinburgh · +15 more institutions
Abstract
Major depression is a debilitating psychiatric illness that is typically associated with low mood and anhedonia. Depression has a heritable component that has remained difficult to elucidate with current sample sizes due to the polygenic nature of the disorder. To maximize sample size, we meta-analyzed data on 807,553 individuals (246,363 cases and 561,190 controls) from the three largest genome-wide association studies of depression. We identified 102 independent variants, 269 genes, and 15 genesets associated with depression, including both genes and gene pathways associated with synaptic structure and neurotransmission. An enrichment analysis provided further evidence of the importance of prefrontal brain…
Citation impact
- FWCI
- 208.16
- Percentile
- 100%
- References
- 86
Authors
38- DMDavid M. HowardCorresponding
Royal Edinburgh Hospital, University of Edinburgh
- MJMark J. Adams
Royal Edinburgh Hospital, University of Edinburgh
- TCToni‐Kim Clarke
Royal Edinburgh Hospital, University of Edinburgh
- JDJonathan D. Hafferty
Royal Edinburgh Hospital, University of Edinburgh
- JGJude Gibson
Royal Edinburgh Hospital, University of Edinburgh
Topics & keywords
- Anhedonia
- Genome-wide association study
- Depression (economics)
- Genetic architecture
- Prefrontal cortex
- Neuroscience
- Mood
- Psychology
- Good health and well-being
Funding
- WTWellcome TrustAwards: Z/17/Z, 104036/Z/14/Z, 208806/Z/17/Z, 2016-2021
- NINational Institute for Health and Care Research
- KCKing's College London
- LILister Institute of Preventive Medicine
- DFDeutsche ForschungsgemeinschaftAwards: Dan3/012/17, FOR2107 DA1151/5-1, DA1151/5-2, TRR58, SFB-TRR58, DA1151/5-1, FOR2107
- BFBundesministerium für Bildung und ForschungAwards: 01ER0816, 01ER1506
- DMDr Mortimer and Theresa Sackler Foundation
- WWWestfälische Wilhelms-Universität Münster
- CFCentre for Cognitive Ageing and Cognitive EpidemiologyAward: MR/K026992/1
- DFDirectorate for Biological Sciences
- MRMedical Research CouncilAwards: MC_PC_17209, MR/K026992/1, 104036/Z/14/Z, MR/S015132/1, MR/J000914/1, MR/K026992/1, 1078901, MC_PC_17228
- NINational Institute of Mental HealthAwards: U01 MH109528, U01 MH1095320, MH1095320