Lee, A., Mavaddat, N., Wilcox, A.N., Cunningham, A.P., Carver, T., Hartley, S., Babb de Villiers, C., Izquierdo, A., Simard, J., Schmidt, M.K., Walter, F.M., Chatterjee, N., Garcia-Closas, M., Tischkowitz, M., Pharoah, P., Easton, D.F. and Antoniou, A.C. (2019). BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. Genetics in Medicine, [online] 21(8), pp.1708–1718. Available at: https://www.nature.com/articles/s41436-018-0406-9 [Accessed 13 Nov. 2020].
Abstract: Breast cancer (BC) risk prediction allows systematic identification of individuals at highest and lowest risk. We extend the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk model to incorporate the effects of polygenic risk scores (PRS) and other risk factors (RFs).