Genomic risk model to implement precision prostate cancer screening in clinical care: the ProGRESS study

Abstract

Precision healthcare aims to tailor disease prevention and early detection to individual risk. Prostate cancer screening may benefit from genomics-informed approaches. We developed and validated the P-CARE model, a prostate cancer risk prediction tool combining a polygenic score, family history and genetic ancestry, using data from over 585,000 male participants in the Million Veteran Program. The model was externally validated in diverse cohorts and implemented via a blended genome–exome assay for clinical use. Here we show that the P-CARE model identifies clinically meaningful gradients of prostate cancer risk among men, with higher scores associated with increased risk of any, metastatic ..