Sex-Specific Survival Bias and Interaction Modeling in Coronary Artery Disease Risk Prediction.
Ida SurakkaBrooke N WolfordScott C RitchieWhitney E HornsbyNadia R SuttonMaiken Elvenstad GabrielsenAnne Heidi SkogholtLaurent F ThomasMichael InouyeKristian HveemCristen J WillerPublished in: Circulation. Genomic and precision medicine (2022)
These 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.
Keyphrases
- coronary artery disease
- percutaneous coronary intervention
- genome wide
- coronary artery bypass grafting
- cardiovascular events
- physical activity
- healthcare
- heart failure
- type diabetes
- dna methylation
- gene expression
- health information
- loop mediated isothermal amplification
- acute coronary syndrome
- social media
- atrial fibrillation