Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 31, 2026Annals of General PsychiatryOpen Access

Shared genetic architecture between major depressive disorder and four digestive diseases in European populations

View Full Paper
Ask AI
Bookmark
Share

Authors

XLXiaoli LiGLGuang LiuJXJiaotao Xing

Discussion

Loading...

Member takes

Overview

Cross-trait genetic analysis uncovers significant genetic overlap between major depressive disorder and four digestive diseases in European populations, suggesting shared biological pathways.

Key Points

  • To systematically evaluate genome-wide and local genetic overlap and shared biological mechanisms between major depressive disorder and four digestive diseases.
  • Evaluated genome-wide genetic correlations using linkage disequilibrium score regression (LDSC), genetic covariance analysis (GNOVA), and high-definition likelihood (HDL) from GWAS summary statistics.
  • Identified shared loci and quantified polygenic overlap using local variation association analysis (LAVA), bivariate causal mixture models (MiXeR), and conditional/conjunctional false discovery rate (cond/conjFDR).
  • Assessed tissue and cell-type distributions using specifically expressed gene enrichment analysis (LDSC-SEG) and genetics-informed single-cell spatial mapping.
  • Detected statistically significant, positive genome-wide genetic correlations between major depressive disorder and all four digestive diseases (cholelithiasis, GERD, IBS, and constipation).
  • Identified multiple shared genomic regions and individual pleiotropic risk loci across chromosomes through local variation and conjunctional FDR analyses.
  • Demonstrated significant tissue-specific enrichment for major depressive disorder, constipation, and IBS across multiple brain regions, supported by concordant single-cell spatial distribution patterns.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a954270f20e493292a74b58https://doi.org/10.1186/s12991-026-00695-w
View Full Paper
Ask AI
Bookmark
Share