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Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association
Insights
Polygenic risk scores offer a new way to predict cardiovascular disease risk. This review covers their science, clinical use, and future challenges for conditions like coronary artery disease and type 2 diabetes.
Area of Science:
- Cardiovascular genetics and precision medicine.
Background:
- Cardiovascular disease remains a leading cause of disability and death.
- Current risk prediction methods are imprecise, necessitating improved strategies.
- Genetic factors play a significant role in cardiovascular health and disease.
Purpose of the Study:
- To review the contemporary science of polygenic risk scores (PRS) for cardiovascular diseases.
- To discuss clinical considerations and future challenges associated with PRS implementation.
- To provide provisional guidance on PRS for healthcare professionals, researchers, policymakers, and patients.
Main Methods:
- Review of contemporary scientific literature on polygenic risk scores.
- Focus on five cardiometabolic diseases: coronary artery disease, hypercholesterolemia, type 2 diabetes, atrial fibrillation, and venous thromboembolic disease.
- Consideration of PRS for response to drug therapy.
Main Results:
- Advances in genetic technology facilitate population-based genetic profiling.
- Genome-wide association studies and PRS development are elucidating causal mechanisms.
- PRS are increasingly integrated into research and direct-to-consumer testing.
Conclusions:
- Polygenic risk scores are becoming more prevalent in clinical encounters.
- Understanding the science and clinical utility of PRS is crucial for effective implementation.
- Guidance is needed for the responsible use of PRS in cardiovascular disease prevention and management.
Abstract:
Cardiovascular disease is the leading contributor to years lost due to disability or premature death among adults. Current efforts focus on risk prediction and risk factor mitigation' which have been recognized for the past half-century. However, despite advances, risk prediction remains imprecise with persistently high rates of incident cardiovascular disease. Genetic characterization has been proposed as an approach to enable earlier and potentially tailored prevention. Rare mendelian pathogenic variants predisposing to cardiometabolic conditions have long been known to contribute to disease risk in some families. However, twin and familial aggregation studies imply that diverse cardiovascular conditions are heritable in the general population. Significant technological and methodological advances since the Human Genome Project are facilitating population-based comprehensive genetic profiling at decreasing costs. Genome-wide association studies from such endeavors continue to elucidate causal mechanisms for cardiovascular diseases. Systematic cataloging for cardiovascular risk alleles also enabled the development of polygenic risk scores. Genetic profiling is becoming widespread in large-scale research, including in health care-associated biobanks, randomized controlled trials, and direct-to-consumer profiling in tens of millions of people. Thus, individuals and their physicians are increasingly presented with polygenic risk scores for cardiovascular conditions in clinical encounters. In this scientific statement, we review the contemporary science, clinical considerations, and future challenges for polygenic risk scores for cardiovascular diseases. We selected 5 cardiometabolic diseases (coronary artery disease, hypercholesterolemia, type 2 diabetes, atrial fibrillation, and venous thromboembolic disease) and response to drug therapy and offer provisional guidance to health care professionals, researchers, policymakers, and patients.
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