ArticleMolecular psychiatry2023
A sex-specific genome-wide association study of depression phenotypes in UK Biobank.
Article in Molecular psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 5 of them syntheses that pooled it.
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Who cites it
47 citing papers in PubMed, 5 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Gene-based association analysis of depression risk among European ancestry Parkinson's disease patients.Human genetics · 2026Pooled it
- Unravelling sex differences in the genetic architecture of anxiety.Psychological medicine · 2026Pooled it
- Sex-stratified genome-wide association meta-analysis of major depressive disorder.Nature communications · 2025Pooled it
- Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids.Translational psychiatry · 2025Pooled it
- Investigating the relationship between depression and breast cancer: observational and genetic analyses.BMC medicine · 2023Pooled it
- Genetic interconnections between personality-related phenotypes and psychiatric disorders.European archives of psychiatry and clinical neuroscience · 2026Article
- Uncovering the Role of Biological Sex in the Divergent Genetic Profiles of Early and Late-Diagnosed Autism.Behavior genetics · 2026Article
- Determinants of functional burden pleiotropy and gene dosage responses across human traits.Nature communications · 2026Article
- Sex-specific neurodevelopmental pathways to depressive symptoms.Molecular psychiatry · 2026Article
- Uncovering the Role of Biological Sex in the Divergent Genetic Profiles of Early and Late-Diagnosed Autism.Research square · 2026Article
- Bioinformatics analysis of the expression and prognostic significance of depression-related genes in lung adenocarcinoma.Translational cancer research · 2026Article
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Exploring and visualizing stratified GWAS results with PheWeb2.Nature genetics · 2026Article
- Long-Term Urban Air Pollution Drives Multi-Stage Neuropsychiatric Disorder Trajectories: A Prospective Cohort Study.Toxics · 2025Article
- Investigating the association between GLP-1 receptor agonists and mood disorders: A study integrating real-world data and Mendelian randomization.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Sex-Specific Genetic Architecture and Comorbidities of Alcohol Use Behaviors.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Sex-specific associations between household drinking water sources and depressive symptoms in middle-aged and older Chinese populations: evidence from one 8-year nationwide cohort.BMC public health · 2025Article
- Article
- Concordance between male- and female-specific GWAS results helps define underlying genetic architecture of complex traits.Nature communications · 2025Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There 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 with the UK Biobank total participants (N = 274,141), including only non-related participants, as well as with males (N = 127,867) and females (N = 146,274) separately. Bioinformatics analyses were performed to characterize common and sex-specific markers and associated processes/pathways. We identified 11 loci passing genome-level significance (P < 5 × 10
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.