Investigating the shared genetic architecture between obesity and depression: a large-scale genomewide cross-trait analysis.

ABSTRACT:

Introduction

Increasing evidence suggests that individuals with obesity are at a higher risk of developing depression, and conversely, depression can contribute to the onset of obesity, creating a detrimental cycle. This study aims to investigate the potential shared biological pathways between obesity and depression by examining genetic correlations, identifying common polymorphisms, and conducting cross-trait genetic analyses.

Methods

We assessed the genetic correlation between obesity and depression using linkage disequilibrium score regression and high-density lipoprotein levels. We combined two different sources of obesity data using METAL and employed bidirectional Mendelian randomization to determine the causal relationship between obesity and depression. Additionally

SUBMITTER: Yuan L 

PROVIDER: S-EPMC12094978 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature