Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.

ABSTRACT: Colorectal cancer screening reduces colorectal cancer incidence and mortality. Risk models based on phenotypic variables have relatively good discrimination in external validation and may improve efficiency of screening. Models incorporating genetic variables may perform better. In this review, we updated our previous review by searching Medline and EMBASE from the end date of that review (January 2014) to February 2019 to identify models incorporating at least one SNP and applicable to asymptomatic individuals in the general population. We identified 23 new models, giving a total of 29. Of those in which the SNP selection was on the basis of published genome-wide association studies, in external or split-sample validation the AUROC was 0.56 to 0.57 for models that included SNPs alone, 0.6

SUBMITTER: McGeoch L 

PROVIDER: S-EPMC7610631 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature