Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis using UK Biobank data: population based cohort study.

ABSTRACT:

Objective

To evaluate the benefit of combining polygenic risk scores with the QCancer-10 (colorectal cancer) prediction model for non-genetic risk to identify people at highest risk of colorectal cancer.

Design

Population based cohort study.

Setting

Data from the UK Biobank study, collected between March 2006 and July 2010.

Participants

434 587 individuals with complete data for genetics and QCancer-10 predictions were included in the QCancer-10 plus polygenic risk score modelling and validation cohorts.

Main outcome measures

Prediction of colorectal cancer diagnosis by genetic, non-genetic, and combined risk models. Using data from UK Biobank, six different polygenic risk scores for colorectal cancer were developed using LDpred2 polygenic risk score sof

SUBMITTER: Briggs SEW 

PROVIDER: S-EPMC9644277 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature