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跨性状全基因组关联研究发现慢性阻塞性肺疾病与五种自身免疫性疾病之间存在共享的遗传风险位点
Authors Wen H , Zhang R , Zhong B, Liu H , Liu C
Received 17 May 2025
Accepted for publication 14 August 2025
Published 30 August 2025 Volume 2025:20 Pages 3019—3034
DOI https://doi.org/10.2147/COPD.S533401
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Fanny Wai San Ko
Huilan Wen,1,* Runan Zhang,2,* Bin Zhong,1 Huan Liu,3 Chunhua Liu1
1Department of Respiratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, People’s Republic of China; 2School of Pharmacy, Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People’s Republic of China; 3School of the First Clinical Medicine, Gannan Medical University, Ganzhou City, Jiangxi Province, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Chunhua Liu, Department of Respiratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People’s Republic of China, Email 15970069145@163.com
Background: Chronic obstructive pulmonary disease (COPD) frequently co-occurs with autoimmune diseases (ADs), yet their shared genetic basis remains incompletely understood. This study aimed to evaluate genetic correlations between COPD and seven ADs and identify shared genetic risk loci underlying this comorbidity.
Methods: We integrated summary statistics from large-scale genome-wide association studies (GWAS) of COPD and seven ADs in European populations. Genetic correlations were assessed using linkage disequilibrium score regression (LDSC) and high-definition likelihood (HDL). Pleiotropic loci were identified via the Pleiotropic Analysis under Composite Null Hypothesis (PLACO) and annotated through the FUMA platform. Multidimensional enrichment analyses were conducted using MAGMA and Metascape, and complementary evidence for the identification of pleiotropic genes was provided by summary-based Mendelian randomization (SMR) and transcriptome-wide association studies (TWAS).
Results: Significant genetic correlations were observed between COPD and five of the seven ADs analyzed. Joint analyses identified 57 shared risk loci, including 17q12 and 16p11.2, with 22 loci supported by colocalization evidence. MAGMA identified 162 pleiotropic genes, such as ORMDL3, GSDMB, and MAPK3. Pathway analyses demonstrated enrichment in immune-related processes, particularly T cell activation and regulation of immune responses. SMR and TWAS further implicated ORMDL3, PGAP3, MAPK3, and GMPPB as putative contributors to shared disease susceptibility. However, additional experimental validation is warranted to substantiate these associations.
Conclusion: This study highlights shared genetic loci and immune pathways linking COPD and ADs in European ancestry populations. Findings lay the groundwork for future research but require functional validation and replication in diverse cohorts to establish causality.
Keywords: chronic obstructive pulmonary disease, autoimmune diseases, PLACO, FUMA, MAGMA