Epigenomic Assessment of Cardiovascular Disease Risk and Interactions With Traditional Risk Metrics

Epigenomic Assessment of Cardiovascular Disease Risk and Interactions With Traditional Risk Metrics

Background Epigenome‐wide association studies for cardiometabolic risk factors have discovered multiple loci associated with incident cardiovascular disease (CVD). However, few studies have sought to directly optimize a predictor of CVD risk. Furthermore, it is challenging to train multivariate mode...

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Bibliographic Details
Main Authors: Kenneth Westerman, Alba Fernández‐Sanlés, Prasad Patil, Paola Sebastiani, Paul Jacques, John M. Starr, Ian J. Deary, Qing Liu, Simin Liu, Roberto Elosua, Dawn L. DeMeo, José M. Ordovás
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
cardiovascular disease
DNA methylation
epigenomics
risk prediction
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.119.015299

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