“Advances and Applications of Polygenic Scores for Coronary Artery Disease”, Aniruddh P. Patel, Amit V. Khera2022-10-31 (heritability)⁠:

[Twitter] polygenic scores quantify inherited risk by integrating information from many common sites of DNA variation into a single number. Rapid increases in the scale of genetic association studies and new statistical algorithms have enabled development of polygenic scores that meaningfully measure—as early as birth—risk of coronary artery disease.

These newer-generation polygenic scores identify up to 8% of the population with triple the normal risk based on genetic variation alone, and these individuals cannot be identified on the basis of family history or clinical risk factors alone.

For those identified with increased genetic risk, evidence supports risk reduction with least two interventions, adherence to a healthy lifestyle and cholesterol-lowering therapies, that can substantially reduce risk.

Alongside considerable enthusiasm for the potential of polygenic risk estimation to enable a new era of preventive clinical medicine is recognition of a need for ongoing research into how best to ensure equitable performance across diverse ancestries, how and in whom to assess the scores in clinical practice, as well as randomized trials to confirm clinical utility.

[Keywords: polygenic score, coronary artery disease, genomics, risk prediction, risk factors, prevention]

See Also:

• A polygenic risk score to predict sudden cardiac arrest in patients with coronary artery disease

• Genomic Prediction of Complex Disease Risk

• Use of Polygenic Risk Scores for Coronary Heart Disease in Ancestrally Diverse Populations

• Population-specific and transethnic genome-wide analyses reveal distinct and shared genetic risks of coronary artery disease

• Large uncertainty in individual PRS estimation impacts PRS-based risk stratification

• Deep learning enables genetic analysis of the human thoracic aorta