• CanRisk Newsletter No 3. Feb 2018 - Model Development and Validation The BOADICEA breast cancer risk prediction algorithm has been extended to include the effects of rare mutations in the known breast cancer susceptibility genes, the combined effects of the common genetic variants (Polygenic Risk Scores), the known lifestyle/hormonal risk factors and mammographic density. A methodological manuscript describing this model is currently in preparation and the algorithm is used as part of the CanRisk tool prototype. A parallel algorithm has been developed for ovarian cancer. A major… Read More
• CanRisk Newsletter No 2. May 2017 - Model Development The development and validation of the breast, ovarian and prostate cancer risk prediction models are ongoing. Working versions of the breast and ovarian cancer risk prediction algorithms (BOADICEA) are now ready. These include the effects of established rare genetic variants, the common genetic variants on the basis of the OncoArray experiment results, lifestyle/hormonal and imaging risk factors. A PhD student is now working on the development of the prostate cancer risk prediction algorithm. We now have access to… Read More
• CanRisk Newsletter December 2016 - The first CanRisk workshop was held in September 2016, and included genetic epidemiologists, clinicians from primary and specialist care and public health, social scientists and members of the research team. The discussions were wide-ranging, and included debates about the purpose of the cancer risk prediction tool and its target population. We discussed whether cancer risk assessments were for the general population, women with concerns, women presenting with symptoms, or for women already diagnosed with breast cancer.  Everyone agreed on the… Read More