ArticleCirculation. Genomic and precision medicine2026
Angiographic Burden of Coronary Atherosclerosis Partially Mediates the Association Between ASCVD Risk Factors and Outcomes.
Article in Circulation. Genomic and precision medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Association of a polygenic risk score with coronary atherosclerotic burden in clinical CT angiograms.medRxiv : the preprint server for health sciences · 2026Article
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11 authors.
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Abstract
backgroundCoronary artery disease (CAD) is a major contributor to cardiovascular morbidity (including myocardial infarction and heart failure) and mortality. Although the burden of CAD (number and degree of coronary artery stenosis) has been observationally linked to these outcomes, the causal contribution and independence from traditional cardiovascular risk factors have been poorly defined.
methodsWe developed a polygenic risk score for angiographic CAD burden using data from the VA Million Veteran Program (n=41 507) and validated this score using data from the Penn Medicine Biobank (n=41 660 with genotyping, N=3771 with angiogram data). We then used publicly available GWAS data and a mediation framework using Mendelian Randomization to investigate whether angiographic CAD burden contributes to adverse cardiovascular outcomes independent of traditional risk factors.
resultsWe first demonstrated that increasing levels of the polygenic risk score were strongly associated with increased prevalence of nonobstructive and obstructive CAD on coronary angiography (odds ratio, 1.26 [95% CI, 1.14-1.39]; odds ratio, 2.23 [95% CI, 1.94-2.55], respectively) and was associated with other forms of cardiometabolic disease including peripheral artery disease and atherosclerotic risk factors including hyperlipidemia, hypercholesterolemia and hypertension. Through Mendelian randomization analyses, we found that lipid measures (apolipoprotein B, high-density lipoprotein, low-density lipoprotein, total cholesterol, triglycerides) and type 2 diabetes significantly influenced myocardial infarction risk through their effects on angiographic CAD burden. Furthermore, low-density lipoprotein and total cholesterol demonstrated significant indirect effects on heart failure through angiographic CAD burden, suggesting these lipids primarily influence heart failure through their impact on coronary atherosclerosis.
conclusionsOur findings indicate that angiographic burden of coronary atherosclerosis mediates a substantial proportion of the relationship between traditional cardiovascular risk factors and adverse outcomes. These results support prioritizing primary prevention efforts targeting modifiable risk factors to prevent the development and progression of coronary plaques before clinical disease manifestation.
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