Journal article

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

Luke McGeoch, Catherine L Saunders, Simon J Griffin, Jon D Emery, Fiona M Walter, Deborah J Thompson, Antonis C Antoniou, Juliet A Usher-Smith

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION | AMER ASSOC CANCER RESEARCH | Published : 2019

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 ext..

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University of Melbourne Researchers

Grants

Awarded by Bowel Cancer UK


Awarded by Cancer Research UK Prevention Fellowship


Awarded by Cancer Research-UK


Funding Acknowledgements

The authors thank Isla Kuhn for her help developing the search strategy, Zhirong Yang for help with translation, Richard Miller for helpful comments on the initial analysis, and our patient and public representative, Margaret Johnson, for her valuable contributions. This work was funded by a grant from Bowel Cancer UK (18PG0008). J.A. Usher-Smith is funded by a Cancer Research UK Prevention Fellowship (C55650/A21464). The University of Cambridge has received salary support in respect of S.J. Griffin from the NHS in the East of England through the Clinical Academic Reserve. A.C. Antoniou is supported by Cancer Research-UK (C12292/A20861). J.D. Emery is supported by an NHMRC Practitioner Fellowship.