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Genetic Risk Prediction for Primary and Secondary Prevention of Atherosclerotic Cardiovascular Disease: an Update

Current Cardiology Reports volume 20, Article number: 36 (2018) Cite this article

Abstract

Purpose of Review

This review aims to summarize the research on genetic risk scores and their ability to improve risk prediction in both a primary and a secondary prevention population.

Recent Findings

Several groups have examined the role of genetic scores in different patient populations. Recent studies have capitalized on the growing number of identified genetic variants to construct polygenic risk scores that include hundreds and sometimes thousands of SNPs. Also, recent studies have demonstrated that individuals with high genetic risk scores can attenuate their risk with lifestyle modifications and with statins, for which the benefit of treatment may be greater in those at highest genetic risk.

Summary

Genetic risk scores when added to existing clinical models appear to improve risk prediction, particularly in the setting of incident cardiovascular disease and may provide actionable information to optimize prevention early in life. Future research will need to establish how to best use this genetic risk information either as a means to further individualize treatment decisions or to better identify high-risk populations.

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  1. Division of Cardiology, Preventive and Genomic Cardiology, McGill University Health Center, 1001 Boulevard Decarie, Montreal, QC, H4A 3J1, Canada

    Christopher Labos & George Thanassoulis

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Christopher Labos declares that he has no conflict of interest.

Dr. Thanassoulis reports grants and personal fees from Ionis; and personal fees from Amgen, Sanofi, and Servier.

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Labos, C., Thanassoulis, G. Genetic Risk Prediction for Primary and Secondary Prevention of Atherosclerotic Cardiovascular Disease: an Update. Curr Cardiol Rep 20, 36 (2018). https://doi.org/10.1007/s11886-018-0980-0

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