Polygenic risk score model for renal cell carcinoma in the Korean population and relationship with lifestyle-associated factors.

ABSTRACT:

Background

The polygenic risk score (PRS) is used to predict the risk of developing common complex diseases or cancers using genetic markers. Although PRS is used in clinical practice to predict breast cancer risk, it is more accurate for Europeans than for non-Europeans because of the sample size of training genome-wide association studies (GWAS). To address this disparity, we constructed a PRS model for predicting the risk of renal cell carcinoma (RCC) in the Korean population.

Results

Using GWAS analysis, we identified 43 Korean-specific variants and calculated the PRS. Subsequent to plotting receiver operating characteristic (ROC) curves, we selected the 31 best-performing variants to construct an optimal PRS model. The resultant PRS model with 31 variants demonstrated a

SUBMITTER: Hong JY 

PROVIDER: S-EPMC10777500 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature