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已发表论文
表观遗传机制将慢性阻塞性肺疾病与心房颤动联系起来：一项多组学孟德尔随机化研究
Authors Zhang M, Li T, Tan L, Yu J, Yao Q, Chen L
Received 27 August 2025
Accepted for publication 2 December 2025
Published 8 January 2026 Volume 2026:21 563463
DOI https://doi.org/10.2147/COPD.S563463
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Jill Ohar
MiaoAn Zhang,1 TianFeng Li,1 LingLin Tan,1 Jinhua Yu,1 Qiying Yao,2 Liang Chen1
1Department of Cardiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China; 2Department of Physiology, Dalian Medical University, Dalian, People’s Republic of China
Correspondence: Qiying Yao, Email 81317121@qq.com; Liang Chen, Email dyeyarrhythmia@163.com
Background and Objective: Chronic obstructive pulmonary disease (COPD) and atrial fibrillation (AF) frequently co-occur, yet the underlying molecular mechanisms remain unclear. We assessed whether genetic liability to COPD increases AF risk and mapped epigenetic mediators using multi-omics data.
Methods: We integrated genome-wide association data for COPD and AF with epigenome-wide DNA methylation profiles and gene expression datasets. Summary-data-based Mendelian randomization served as the primary approach to link disease-associated variants with methylation, gene expression, and AF, complemented by two-sample Mendelian randomization, colocalization, and checks for pleiotropy. We prioritized COPD-related CpG sites and genes, examined functional context using protein–protein interaction networks and pathway enrichment, and nominated candidate therapeutics with drug-prediction algorithms followed by molecular docking. Analyses were conducted primarily in cohorts of European ancestry.
Results: Genetic liability to COPD was associated with a higher risk of AF (odds ratio [OR] = 1.156, 95% confidence interval [CI] 1.025– 1.304; p = 0.018). We identified 109 COPD-related CpG sites associated with AF risk. Cross-omics triangulation highlighted seven candidate genes, with FES showing consistent evidence across genomic, epigenetic, and transcriptomic layers. Functional analyses indicated enrichment in immune signaling and signal transduction pathways. Docking analyses suggested favorable binding between predicted drugs and their targets.
Conclusion: These findings support a pathway by which COPD may influence AF risk through epigenetic regulation and prioritize CpG sites, genes, and potentially druggable targets for further study. Because the underlying datasets are predominantly from individuals of European ancestry, replication in more diverse populations is needed to assess generalizability.
Keywords: chronic obstructive pulmonary disease, atrial fibrillation, summary-data-based mendelian randomization, multi-omics, methylation, gene expression, protein, drug target
1Department of Cardiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China; 2Department of Physiology, Dalian Medical University, Dalian, People’s Republic of China
Correspondence: Qiying Yao, Email 81317121@qq.com; Liang Chen, Email dyeyarrhythmia@163.com
Background and Objective: Chronic obstructive pulmonary disease (COPD) and atrial fibrillation (AF) frequently co-occur, yet the underlying molecular mechanisms remain unclear. We assessed whether genetic liability to COPD increases AF risk and mapped epigenetic mediators using multi-omics data.
Methods: We integrated genome-wide association data for COPD and AF with epigenome-wide DNA methylation profiles and gene expression datasets. Summary-data-based Mendelian randomization served as the primary approach to link disease-associated variants with methylation, gene expression, and AF, complemented by two-sample Mendelian randomization, colocalization, and checks for pleiotropy. We prioritized COPD-related CpG sites and genes, examined functional context using protein–protein interaction networks and pathway enrichment, and nominated candidate therapeutics with drug-prediction algorithms followed by molecular docking. Analyses were conducted primarily in cohorts of European ancestry.
Results: Genetic liability to COPD was associated with a higher risk of AF (odds ratio [OR] = 1.156, 95% confidence interval [CI] 1.025– 1.304; p = 0.018). We identified 109 COPD-related CpG sites associated with AF risk. Cross-omics triangulation highlighted seven candidate genes, with FES showing consistent evidence across genomic, epigenetic, and transcriptomic layers. Functional analyses indicated enrichment in immune signaling and signal transduction pathways. Docking analyses suggested favorable binding between predicted drugs and their targets.
Conclusion: These findings support a pathway by which COPD may influence AF risk through epigenetic regulation and prioritize CpG sites, genes, and potentially druggable targets for further study. Because the underlying datasets are predominantly from individuals of European ancestry, replication in more diverse populations is needed to assess generalizability.
Keywords: chronic obstructive pulmonary disease, atrial fibrillation, summary-data-based mendelian randomization, multi-omics, methylation, gene expression, protein, drug target