Current Applications of Genetic Risk Scores to Cardiovascular Outcomes and Subclinical Phenotypes

TL;DR

This paper reviews how genetic risk scores are used to predict cardiovascular disease and related traits, highlighting their potential and limitations.

Contribution

The paper outlines novel applications of genetic risk scores in cardiovascular research and identifies areas for future investigation.

Findings

Genetic risk scores can predict cardiovascular outcomes and subclinical traits using genome-wide meta-analysis data.

Current genetic risk scores have limited clinical utility beyond traditional risk factors in many populations.

New applications include gene-by-environment studies and Mendelian randomization to better understand cardiovascular disease.

Abstract

Genetic risk scores are a useful tool for examining the cumulative predictive ability of genetic variation on cardiovascular disease. Important considerations for creating genetic risk scores include the choice of genetic variants, weighting, and comparability across ethnicities. Genetic risk scores that use information from genome-wide meta-analyses can successfully predict cardiovascular outcomes and subclinical phenotypes, yet there is limited clinical utility of these scores beyond traditional cardiovascular risk factors in many populations. Novel uses of genetic risk scores include evaluating the genetic contribution of specific intermediate traits or risk factors to cardiovascular disease, risk prediction in high-risk populations, gene-by-environment interaction studies, and Mendelian randomization studies. Though questions remain about the ultimate clinical utility of the genetic risk score, further investigation in high-risk populations and new ways to combine genetic risk scores with traditional risk factors may prove to be fruitful.