Rate My Professor Antonis Antoniou

Professor Antoniou's research specializes in advancing cancer risk stratification via multifactorial algorithms that incorporate epidemiological, genomic, clinical, and demographic data from international consortia, population cohorts, and electronic health records. He identifies novel risk factors such as genetic markers, symptoms, biomarkers, and imaging features, with a focus on risks for carriers of mutations in BRCA1, BRCA2, PALB2, RAD51C, and RAD51D genes. He develops clinical tools for personalized risk prediction, including the BOADICEA model detailed in publications such as 'The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions' (British Journal of Cancer, 2008) and 'BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors' (Genetics in Medicine, 2019). Other key works include 'Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers' (JAMA, 2017). He leads consortia like CIMBA and EMBACE, and contributes to initiatives such as CANGENE-CANVAR and RREDD-EHR. His impact is recognized by the 2024 Don Listwin Award for outstanding contributions to early cancer detection. Since 2010, he has lectured on MPhil courses in Epidemiology and Population Health Sciences, serving as Academic Course Director for the MPhil in Epidemiology from 2016 to 2021 and theme lead for epidemiology in Population Health Sciences from 2021 to 2023.