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CRUK Grant for CanRisk: Personalising cancer risk prediction for prevention and early detection

Jonathan Roberts is the Clinical Advisor for the CanRisk tool which was awarded a grant from Cancer Research UK in August 2020

CRUK Grant for CanRisk: Personalising cancer risk prediction for prevention and early detection

31st August 2020

From the CanRisk website:

The CanRisk tool is a web interface to BOADICEA, the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm, risk prediction model used to calculate future breast and ovarian cancer risks in women. This is the first comprehensive model that allows for reliable breast cancer risk prediction in unaffected women on the basis of mutation screening information for rare (high risk and moderate risk) breast cancer genetic susceptibility variants, common cancer genetic susceptibility variants (using polygenic risk scores), explicit family history, personal lifestyle, hormonal and reproductive risk factors, and mammographic density. This model is described in Lee et al. 2019.

The ovarian cancer risks are calculated using a separate prediction model that is based on the BOADICEA methodology, and extensions of the ovarian cancer risk model described by Jervis et al. The model includes the effects of rare pathogenic variants BRCA1, BRCA2, RAD51D, RAD51C and BRIP1. It also can use polygenic risk scores, explicit family history, personal lifestyle/hormonal/reproductive risk factors. For details see ‘What information do the breast and ovarian cancer models use to determine risks?’

This work is supported by grants through Cancer Research UK, the European Union’s Horizon 2020 and Innovation programme, Genome Canada and a Wellcome Trust Collaborative Award.


Related Link:


Jonathan Roberts: Cancer Research UK (CRUK) Grant (2020) CanRisk: Personalising cancer risk prediction for prevention and early detection. Co-applicants: Antoniou A, Easton D, Walter F, Tischkowitz M