Impact of individual level uncertainty of lung cancer polygenic risk score (PRS) on risk stratification.

ABSTRACT:

Background

Although polygenic risk score (PRS) has emerged as a promising tool for predicting cancer risk from genome-wide association studies (GWAS), the individual-level accuracy of lung cancer PRS and the extent to which its impact on subsequent clinical applications remains largely unexplored.

Methods

Lung cancer PRSs and confidence/credible interval (CI) were constructed using two statistical approaches for each individual: (1) the weighted sum of 16 GWAS-derived significant SNP loci and the CI through the bootstrapping method (PRS-16-CV) and (2) LDpred2 and the CI through posteriors sampling (PRS-Bayes), among 17,166 lung cancer cases and 12,894 controls with European ancestry from the International Lung Cancer Consortium. Individuals were classified into different gen

SUBMITTER: Wang X 

PROVIDER: S-EPMC10840262 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature