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Dataset Information

Integrating genomic and exposomic data identifies endocrine disruptors potentially associated with chronic obstructive pulmonary disease.


ABSTRACT:

Background

Chronic obstructive pulmonary disease (COPD) is a complex disorder driven by both genetic susceptibility and environmental exposures. Endocrine-disrupting chemicals (EDCs) are widespread environmental contaminants that interfere with hormonal and immune pathways, yet their molecular links to COPD remain insufficiently defined.

Methods

We integrated exposomic and genomic data to systematically evaluate EDC-related molecular mechanisms in COPD. Chemical-gene interactions were curated from the TEDX and CTD to identify EDC-associated genes. Two-sample Mendelian randomization (MR) was performed to assess genetically supported associations between gene expression and COPD risk. Bayesian colocalization analysis was applied to determine whether shared genetic variants und

SUBMITTER: Hong Y 

PROVIDER: S-EPMC12937556 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature