Article

Combining stacked polygenic scores with clinical risk factors improves cardiovascular risk prediction in people with type 2 diabetes

2022-09-01

Abstract excerpt

<h4>Background</h4> Recommended CVD prediction models do not perform well in people with diabetes. We aimed to determine whether models combining polygenic scores (PGS) with clinical risk factors could more accurately predict 10-year risk of six facets of CVD, including: coronary heart disease (CHD), heart failure (HF), and atrial fibrillation (AF). <h4>Methods</h4> Three groups were selected from the UK Biobank:...

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Literature Corpus work: a6a56870-0111-5f5f-b569-4d730e28333b
DOI: 10.1101/2022.09.01.22279477

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