{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["22(1)"],"submitter":["Zhang H"],"pubmed_abstract":["<h4>Background</h4>A growing body of evidence supports the comorbidity between depression (DEP) and obesity, yet the genetic mechanisms underlying this association remain unclear. Our study explored the shared genetic architecture and causal associations of DEP with BMI.<h4>Methods</h4>We investigated the multigene overlap and genetic correlation between DEP (N > 1.3 million) and BMI (N = 806,834) based on genome-wide association studies (GWAS) and using the bivariate causal mixture model and linkage disequilibrium score regression (LDSC). The causal association was explored by bi-directional Mendelian randomization (MR). Common risk loci were identified through cross-trait meta-analyses. Stratified LDSC and multi-marker gene annotation analyses were applied to investigate single-nucleotid"],"journal":["BMC medicine"],"pagination":["455"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11481102"],"repository":["biostudies-literature"],"pubmed_title":["Dissecting shared genetic architecture between depression and body mass index."],"pmcid":["PMC11481102"],"pubmed_authors":["Zheng Y","Yu B","Ai S","Yin S","Zhang H","Zheng R","Luo X","Shi J","Yu Y"],"additional_accession":[]},"is_claimable":false,"name":"Dissecting shared genetic architecture between depression and body mass index.","description":"<h4>Background</h4>A growing body of evidence supports the comorbidity between depression (DEP) and obesity, yet the genetic mechanisms underlying this association remain unclear. Our study explored the shared genetic architecture and causal associations of DEP with BMI.<h4>Methods</h4>We investigated the multigene overlap and genetic correlation between DEP (N > 1.3 million) and BMI (N = 806,834) based on genome-wide association studies (GWAS) and using the bivariate causal mixture model and linkage disequilibrium score regression (LDSC). The causal association was explored by bi-directional Mendelian randomization (MR). Common risk loci were identified through cross-trait meta-analyses. Stratified LDSC and multi-marker gene annotation analyses were applied to investigate single-nucleotid","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2026-07-15T04:02:34.768Z","creation":"2025-04-04T23:51:10.62Z"},"accession":"S-EPMC11481102","cross_references":{"pubmed":["39394142"],"doi":["10.1186/s12916-024-03681-9"]}}