‘Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction’ has been published in Nature Communications. This paper describes a machine learning method (MCCP) that can be used to estimate personalized confidence levels of disease risk prediction based on polygenic risk scores, thereby enhancing their utility and interpretability in clinical settings.
