rs1046872 - POU2AF3

Magnitude 2.2 · 1 study on file

Reported associations

• Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies - Unknown journal (n.d.) · Unknown authors · PubMed 38872215

  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 approach for genome-wide risk pr

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