Evidence map›Paper›PMID 42676977›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Cross-Trait Genome-Wide Association Study Identifies Shared Genetic Architecture Between COPD and Retinal Vascular Phenotypes.

Yuli Chen, Yibin Li, Yijiao Tang, XinQi Yuan, Rui Chen

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Article in International journal of chronic obstructive pulmonary disease, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuli ChenHealth Management Center, The Third People's Hospital of Chengdu, Chengdu, People's Republic of China.
Yibin LiHealth Examination Center, The Third People's Hospital of Chengdu, Chengdu, People's Republic of China.
Yijiao TangHealth Management Center, The Third People's Hospital of Chengdu, Chengdu, People's Republic of China.
XinQi Yuan *Department of Rehabilitation Medicine, The Fifth People's Hospital of Sichuan Province, Chengdu, People's Republic of China.
Rui Chen *Department of General Practice, The Third People's Hospital of Chengdu, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is accompanied by systemic vascular dysfunction and microcirculatory impairment. Retinal vascular traits provide a non-invasive window into microvascular characteristics, although their shared genetic architecture with COPD remains unclear. Methods: We integrated genome-wide association study summary statistics for COPD and 17 retinal vascular traits in individuals of European ancestry. Genome-wide genetic correlations were evaluated using linkage disequilibrium score regression and high-definition likelihood. Shared pleiotropic variants were identified using pleiotropic analysis under a composite null hypothesis, followed by functional mapping and annotation, Bayesian colocalization, multi-marker analysis of genomic annotation, and functional enrichment analyses. Smoking-adjusted analyses were further conducted using genome-wide association study-by-subtraction based on genomic structural equation modeling. Results: Genetic correlation analyses identified significant associations between COPD and 10 retinal vascular traits after false discovery rate correction, with consistent directions across both methods; high-definition likelihood identified one additional trait. Positive correlations were observed for vascular bifurcation and density traits, whereas venous caliber traits showed negative correlations. Pleiotropic analysis identified 3,846 significant single-nucleotide polymorphisms across 10 trait pairs, corresponding to 2,246 unique variants and 56 unique loci. Recurrent signals were observed at 8p23.1, 15q25.1, 20q13.33, 4q31.21, and 6q24.1. Bayesian colocalization provided strong evidence for shared local genetic signals at six loci, particularly 8p23.1 and 20q13.33. Smoking-adjusted analyses showed that several genome-wide and locus-level associations remained detectable, whereas nicotinic receptor-related signals, especially at 15q25.1, were attenuated. Conclusion: COPD and retinal vascular traits show evidence of shared genetic architecture involving vascular branching, density, and venous caliber. These findings support retinal vascular traits as candidate research phenotypes for investigating systemic microvascular involvement in COPD. Further validation across diverse populations and functional studies is required.

Indexed as

Polymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveRetinal DiseasesRetinal VesselsAgedFemaleGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumMaleMiddle AgedPhenotypeRisk Factorschronic obstructive pulmonary diseasecolocalizationcross-trait genome-wide association studygenetic correlationpleiotropyretinal vascular traits

Identifiers

PMID42676977
PMCPMC13528661

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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.