ArticleBMC medical genomics2025
Genetic crossroads of cardiovascular disease and its comorbidities: toward holistic therapeutic strategies.
Article in BMC medical genomics, 2025. 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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Abstract
backgroundWith increasing life expectancy, the prevalence of cardiovascular disease (CVD) accompanied by comorbidities is rising, presenting a growing challenge for healthcare systems. Understanding shared genetic factors underlying CVD and its comorbid conditions may facilitate the development of more effective strategies for prevention and treatment.
methodsIn this study, we investigated genetic correlations between CVD and common comorbidities using genome-wide association study (GWAS) summary statistics from the FinnGen R12 release, comprising data from 500,000 Finnish individuals. Following standard quality control procedures, we examined 19 disease endpoints using linkage disequilibrium score regression (LDSC) to estimate heritability and pairwise genetic correlations. Disease traits with significant heritability (z-score ≥ 4) and Bonferroni-corrected significant correlations (adjusted p < 0.05) were selected for genomic structural equation modeling (Genomic SEM) to construct a latent genomic factor (LGF), representing shared genetic liability.
resultsOut of the 19 diseases, four CVDs (transient ischemic attack, atrial fibrillation, myocardial infarction and heart failure) and seven comorbidities (type 2 diabetes, asthma, obesity, depression, chronic obstructive pulmonary disease, gingivitis and hypertension) showed statistically significant genetic correlations. A multivariate GWAS of the LGF identified 141 novel associated loci across 29 independent SNPs. These loci overlapped with 16 protein-coding genes, including NPC1, TMEM106B, PTPN22, MAP2K5 and MSRA, implicating them in the shared pathogenesis of CVD and its comorbidities.
conclusionsThese findings underscore a shared genetic architecture between CVD and its comorbidities. We provide genetic evidence supporting the re-evaluation of these gene targets in the context of integrated, holistic and multi-disease treatment strategies.
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