ArticleBMC medicine2024
Dissecting shared genetic architecture between depression and body mass index.
Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Depression and psychiatric help-seeking as joint outcomes: a Bayesian multilevel analysis of household-level dependence.Health and quality of life outcomes · 2026Article
- Phenome-Wide Associations of Polygenic Scores for Schizophrenia and Major Depression in 100,000 Chinese Adults.Biological psychiatry global open science · 2026Article
- Building an early warning model for the risk of suicide attempt in people with depression based on machine learning: a single-centre study.Frontiers in psychiatry · 2026Article
- Joint trajectories of obesity and depressive symptoms and risk of incident glaucoma: a 16-year prospective cohort study from the Health and Retirement Study.Frontiers in aging neuroscience · 2026Article
- Genetic associations and candidate functional genes linking depression and obesity: a multi-omics integrative study.Frontiers in genetics · 2026Article
- Parallel Pathways, Divergent Outcomes: Adipose Tissue-Neural Crosstalk in Depression and Obesity.Journal of clinical medicine · 2025Review
- Genetic susceptibility to depression and risk of cardiometabolic diseases: a systematic review and meta-analysis of 21 Mendelian randomisation studies.EClinicalMedicine · 2025Article
- Genetic Pleiotropy and Causal Pathways Linking Glycemic Traits to Asthma: An Integrated Proteogenomic Investigation.Children (Basel, Switzerland) · 2025Article
- Additive effects of depression and abdominal obesity on cognitive function in middle-aged and older population: evidence from multinational cohorts.BMC medicine · 2025Article
- Differences and similarities between the genetic architecture of lifetime substance use across different substances.Psychological medicine · 2025Article
- A Mutation in the Transmembrane Domain of Adenylate Cyclase 3 Impairs Enzymatic Function to Cause Sex-Specific Depression- and Anxiety-Like Behaviors and Food Seeking in a Rat Model.Genes, brain, and behavior · 2025Article
- Genetic relationship between Sjögren's syndrome and abdominal aortic aneurysm: insights from a European population's genome-wide association analysis.Frontiers in cardiovascular medicine · 2025Article
- Fasting blood glucose mediated the association between a body shape index and depression: a cross sectional study from NHANES 2017-2023.Frontiers in nutrition · 2025Article
- Are the Previously Reported Risk Factors for Endometriosis Actually Associated With Pain and Infertility Rather Than Endometriosis Itself?Reproductive medicine and biologyReview
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA 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.
methodsWe 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-nucleotide polymorphisms enrichment across tissue types, cell types, and functional categories. Finally, we explored shared functional genes by Summary Data-Based Mendelian Randomization (SMR) and further detected differential expression genes (DEG) in brain tissues of individuals with depression and obesity.
resultsWe found a positive genetic correlation between DEP and BMI (r
conclusionsOur study reveals shared genetic basis underpinnings between DEP and BMI, including genetic correlations and common genes. These insights offer novel opportunities and avenues for future research into their comorbidities.
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