Integrating large scale genetic and clinical information to predict cases of heart failure

2022-07-22 cardiovascular medicine Title + abstract only

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BackgroundHeart failure (HF) is a major cause of death globally. Prediction of HF risk and early initiation of treatment could mitigate disease progression. ObjectivesThe study aimed to improve the prediction accuracy of HF by integrating genome-wide association studies (GWAS)- and electronic health records (EHR)-derived risk scores. MethodsWe previously performed the largest HF GWAS to date within the Global Biobank Meta-analysis Initiative to create a polygenic risk score (PRS). To extract c...

Integrating large scale genetic and clinical information to predict cases of heart failure

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