Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction

Abstract

The application of polygenic risk scores to individual-level disease susceptibility is challenging, as risk is evaluated at a group-level. Here, the authors describe a machine learning method, Mondrian Cross-Conformal Prediction, that reports disease status conditional probability value at the individual level.