Investigating the common genetic basis between inflammatory bowel disease and metabolic syndrome through genomic structural equation modeling.

ABSTRACT:

Background

Inflammatory bowel disease (IBD) and metabolic syndrome (MetS) exhibit a complex interplay, with clinical evidence indicating an increasing incidence of their co-occurrence. However, current research lacks a systematic framework to model the pleiotropic genetic architecture linking gastrointestinal and liver-metabolic phenotypes, thereby hindering a comprehensive understanding of how multiple genetic risk factors converge to drive IBD-MetS comorbidity.

Methods

This study employed genomic structural equation modeling (SEM) to integrate genome-wide association study (GWAS) summary datasets for IBD and MetS-related traits (body mass index, triglycerides, non-alcoholic fatty liver disease, hypertension, and type 2 diabetes), creating the multivariate GWAS summary data

SUBMITTER: Shen P 

PROVIDER: S-EPMC12530597 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature