ArticleCirculation. Genomic and precision medicine2023
Sex-Specific Survival Bias and Interaction Modeling in Coronary Artery Disease Risk Prediction.
Article in Circulation. Genomic and precision medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 16 citations in OpenAlex.
- Combining Genomics With Lipid and Inflammatory Biomarkers to Predict Coronary Artery Disease Risk: UK Biobank Study.Journal of the American College of Cardiology · 2026Article
- Partitioned polygenic scores show mechanistic heterogeneity in type 2 diabetes and hypertension comorbidity.Nature communications · 2026Article
- Modifiable influencing factors and their joint effects on early- and late-onset coronary heart disease.Nature communications · 2025Article
- Integrating large scale genetic and clinical information to predict cases of heart failure.Communications medicine · 2025Article
- Concordance between male- and female-specific GWAS results helps define underlying genetic architecture of complex traits.Nature communications · 2025Article
- Comprehensive interaction modeling with machine learning improves prediction of disease risk in the UK Biobank.Nature communications · 2025Article
- Article
- Nonlinearity and sex differences in the performance of a polygenic risk score for juvenile idiopathic arthritis.Frontiers in immunology · 2025Article
- Joint impact of polygenic risk score and lifestyles on early- and late-onset cardiovascular diseases.Nature human behaviour · 2024Article
- Using Sex-Specific Polygenic Risk to Prognosticate Coronary Artery Disease in Women.Journal of the American Heart Association · 2024Article
- Acute Coronary Syndrome in Women: An Update.Current cardiology reports · 2024Review
- Polygenic Scores and Preclinical Cardiovascular Disease in Individuals With HIV: Insights From the REPRIEVE Trial.Journal of the American Heart Association · 2024 · on this mapArticle
- The HUNT study: A population-based cohort for genetic research.Cell genomics · 2022Article
- Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps.Nature medicine · 2021Review
- Seek First to Understand: Sex-Specific Outcomes of Patients With Calcified Coronary Arteries Treated With Intravascular Lithotripsy.Journal of the Society for Cardiovascular Angiography & InterventionsArticle
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Authors and funding
11 authors at 3 institutions in 6 countries.
Funding
Abstract
backgroundThe 10-year Atherosclerotic Cardiovascular Disease risk score is the standard approach to predict risk of incident cardiovascular events, and recently, addition of coronary artery disease (CAD) polygenic scores has been evaluated. Although age and sex strongly predict the risk of CAD, their interaction with genetic risk prediction has not been systematically examined. This study performed an extensive evaluation of age and sex effects in genetic CAD risk prediction.
methodsThe population-based Norwegian HUNT2 (Trøndelag Health Study 2) cohort of 51 036 individuals was used as the primary dataset. Findings were replicated in the UK Biobank (372 410 individuals). Models for 10-year CAD risk were fitted using Cox proportional hazards, and Harrell concordance index, sensitivity, and specificity were compared.
resultsInclusion of age and sex interactions of CAD polygenic score to the prediction models increased the C-index and sensitivity by accounting for nonadditive effects of CAD polygenic score and likely countering the observed survival bias in the baseline. The sensitivity for females was lower than males in all models including genetic information. We identified a total of 82.6% of incident CAD cases by using a 2-step approach: (1) Atherosclerotic Cardiovascular Disease risk score (74.1%) and (2) the CAD polygenic score interaction model for those in low clinical risk (additional 8.5%).
conclusionsThese findings highlight the importance and complexity of genetic risk in predicting CAD. There is a need for modeling age- and sex-interaction terms with polygenic scores to optimize detection of individuals at high risk, those who warrant preventive interventions. Sex-specific studies are needed to understand and estimate CAD risk with genetic information.
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