Prediction of clinically significant prostate cancer using polygenic risk models in Asians.

ABSTRACT:

Purpose

To develop and evaluate the performance of a polygenic risk score (PRS) constructed in a Korean male population to predict clinically significant prostate cancer (csPCa).

Materials and methods

Total 2,702 PCa samples and 7,485 controls were used to discover csPCa susceptible single nucleotide polymorphisms (SNPs). Males with biopsy-proven or post-radical prostatectomy Gleason score 7 or higher were included for analysis. After genotype imputation for quality control, logistic regression models were applied to test association and calculate effect size. Extracted candidate SNPs were further tested to compare predictive performance according to number of SNPs included in the PRS. The best-fit model was validated in an independent cohort of 311 cases and 822 controls.

SUBMITTER: Song SH 

PROVIDER: S-EPMC8756152 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature