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Updated: Feb 13, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Large-Scale Genomic Biobanks and Cardiovascular Disease
Aeron M Small1, Christopher J O'Donnell2,3,4, Scott M Damrauer5,6,7
1Department of Medicine, Yale New Haven Hospital, Yale University School of Medicine, New Haven, CT, USA.
Purpose Of Review:
Cardiovascular disease is a leading cause of morbidity and mortality worldwide and is the focus of extensive biomedical research. Large genetic consortia combining data from many traditional prospective cohort and ascertained case-control study designs have facilitated the discovery of genetic associations for a variety of cardiovascular diseases including diabetes, coronary artery disease, and hypertension. Biobank-based genetic studies offer an alternative whereby large populations are genotyped and linked to electronic health records.
Recent Findings:
Biobank sample sizes worldwide have surpassed even the largest genetic consortia and have yielded key insights into the genetic determinants of both common and rare cardiovascular phenotypes. Herein, we provide an overview of the largest genomic biobanks and discuss the relevant advantages and challenges inherent to the biobank model of cohort generation and genomic study design.
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