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Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis: a cohort study in UK Biobank

2021-09-23

Abstract excerpt

<h4>Objectives</h4> To evaluate the benefit of combining polygenic risk scores (PRS) with the QCancer-10 (colorectal cancer) non-genetic risk prediction model to identify those at highest risk of colorectal cancer (CRC). <h4>Design</h4> Population based cohort study. Six different PRS for CRC were developed (using LDpred2 PRS software, clumping and thresholding approaches, and genome-wide significant models). The...

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Literature Corpus work
0091239f-f403-5b28-b201-cd16e899238e
DOI
10.1101/2021.09.22.21263962
Open publication

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Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis: a cohort study in UK BiobankDOI 10.1101/2021.09.22.21263962
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