Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer.

ABSTRACT:

Background

Polygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46).

Materials and method

180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the to

SUBMITTER: Karunamuni RA 

PROVIDER: S-EPMC8157993 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature