A Sex-Specific Genome-Wide Association Study of Depression Phenotypes in UK Biobank
Patrícia Pelufo SilveiraiD, Irina Pokhvisneva, David M. HowardiD, Michael Joseph MeaneyiD
Abstract
BackgroundThere are marked sex differences in the prevalence, phenotypic presentation and treatment response for major depression. While genome-wide association studies (GWAS) adjust for sex differences, to date no studies seek to identify sex-specific markers and pathways. In this study we performed a sex-stratified genome-wide association analysis for broad depression. MethodsA genome-wide association study for broad depression was performed in the UK Biobank total participants (N=274,141), including only non-related participants, as well as separately in males (N=127,867) and females (N=146,274). Bioinformatics analyses were performed to characterize common and sex-specific markers and associated processes/pathways. ResultsWe identified 11 loci passing genome level significance (P < 5* 10-8) in females and one in males. In both males and females, genetic correlations were significant between the broad depression GWA and other psychopathologies, however, correlations with educational attainment and metabolic features including body fat, waist circumference, waist-to-hip ratio and triglycerides were significant only in females. Gene-based analysis showed 147 genes significantly associated with broad depression in the total sample, 64 in the females and 53 in males. Gene-based analysis revealed "Regulation of Gene Expression" as a common biological process, but suggested sex-specific molecular mechanisms. Finally, sex-specific PRSs for broad depression outperformed total and the opposite sex PRSs in the prediction of broad MDD. ConclusionsThese findings provide evidence for sex-dependent genetic pathways for clinical depression as well as for health conditions comorbid with depression.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 80
- FWCI
- 13.10
- Field percentile
- top 1%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genome-wide association study of depression phenotypes in UK Biobank (n = 322,580) identifies the enrichment of variants in excitatory synaptic pathways
David M. Howard, Mark J. Adams, … Andrew Mark McIntosh·Nature CommunicationsPeer-reviewed·Apr 11, 2018
- Genome-Wide Meta-Analyses Of Stratified Depression In Generation Scotland And UK Biobank
Lynsey S. Hall, Mark J. Adams, … Andrew Mark McIntosh·Translational PsychiatryPeer-reviewed·Jan 9, 2018
- Trans-ancestry Genome-Wide Analyses in UK Biobank Yield Novel Risk Loci for Major Depression
Madhurbain Singh, Chris Chatzinakos, … Roseann Elizabeth Peterson·medRxiv·Feb 22, 2025
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
eQTLGen, Naomi R. Wray, … Niamh Mullins·Nature GeneticsPeer-reviewed·Apr 26, 2018
- Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
Wennie Wu, Derek Howard, … Leon French·Translational PsychiatryPeer-reviewed·Jan 4, 2021
- Stratifying depression by neuroticism: revisiting a diagnostic tradition using GWAS data
Mark J. Adams, David M. Howard, … Andrew Mark McIntosh·bioRxiv·Feb 20, 2019