Evidence map›Paper›PMID 41639929›Full record

ArticleHuman genomics2026

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

Yanggang Hong, Sihan Song, Yirong Wang, Wanyi Shu, Jinduo Dong, Xiangting Ge

Abstract read
In one paragraph

Article in Human genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yanggang HongThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China. hongyanggang@wmu.edu.cn.
Sihan SongThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China.
Yirong WangWenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Wanyi ShuWenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Jinduo DongThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China.
Xiangting GeThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China. xiangtingge@163.com.

Funding

National Natural Science Foundation of China 82400026
6 · The paper itself

Abstract

backgroundChronic 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.

methodsWe 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 underlie both gene expression and COPD susceptibility. Network analyses were conducted to map EDC-gene interactions and protein-protein interaction (PPI) landscapes.

resultsAmong 4207 EDC-associated genes with available cis-eQTLs, MR identified 30 genes significantly associated with COPD after FDR correction. Colocalization analysis prioritized 18 genes with strong or moderate evidence of a shared genetic signal, including TCF19, MAP1LC3B, and IRF1. Network analyses revealed extensive interactions between these genes and multiple EDCs, such as bisphenol A, triclosan, and formaldehyde. Functional connectivity highlighted pathways related to immune regulation, autophagy, and epigenetic control.

conclusionThis integrative translational exposomics framework identifies genetically supported links between EDC-related genes and COPD risk. The findings provide mechanistic insights into how environmental endocrine disruptors may contribute to COPD pathogenesis and offer prioritized molecular targets for future experimental validation and environmental health interventions.

Indexed as

Endocrine DisruptorsExposomePulmonary Disease, Chronic ObstructiveBayes TheoremEnvironmental ExposureGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansMendelian Randomization AnalysisProtein Interaction MapsEndocrine DisruptorsChemical–gene interactionCOPDEndocrine disruptorsMendelian randomizationTranslational exposomics

Identifiers

PMID41639929
PMCPMC12937556

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.