Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies.

ABSTRACT:

Background

Early detection of colorectal neoplasms can reduce the colorectal cancer (CRC) burden by timely intervention for high-risk individuals. However, effective risk prediction models are lacking for personalized CRC early screening in East Asian (EAS) population. We aimed to develop, validate, and optimize a comprehensive risk prediction model across all stages of the dynamic adenoma-carcinoma sequence in EAS population.

Methods

To develop precision risk-stratification and intervention strategies, we developed three trans-ancestry PRSs targeting colorectal neoplasms: (1) using 148 previously identified CRC risk loci (PRS₁₄₈); (2) SNPs selection from large-scale meta-analysis data by clumping and thresholding (PRS₁₈₃); (3) PRS-CSx, a Bayesian appro

SUBMITTER: Tian J 

PROVIDER: S-EPMC11170922 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature