Biography
Nasim Mavaddat is Senior Research Associate in the Department of Public Health and Primary Care. She holds a PhD in cancer genetic epidemiology from Cambridge University, supervised by Prof Doug Easton and Prof Antonis Antoniou. She also holds a PhD in molecular immunology; her thesis entitled gd T-cell function and antigen recognition was carried out collaboratively between Stanford University and the University of Western Australia (UWA). She qualified in Medicine from UWA. She has carried out research at the Universities of Oxford and Cambridge and lectured on the MPhil in Epidemiology at the University of Cambridge. Research Interests Nasim’s research has focused on genetic susceptibility to breast cancer. She has developed polygenic risk scores for stratifying breast cancer risk and has worked on risk modelling in BRCA1 and BRCA2 mutation carriers. She has investigated breast tumour pathology associated with both common and rare genetic variants and studied breast cancer risk factors including menopause and menarche. She is currently working on modelling cancer risk in non-European populations. Her work contributes to the BOADICEA/CanRisk tool and CanRisk programme.
Research
Nasim’s research has focused on genetic susceptibility to breast cancer. She is presently investigating the value of genomic profiling for breast cancer risk stratification. The combined effect of multiple breast cancer susceptibility SNPs are represented in a polygenic risk score, which may be used for targeting breast cancer screening strategies, and risk reducing interventions to those at highest risk of developing breast cancer.
Nasim has also carried out work on risk modelling in BRCA1 and BRCA2 mutation carriers, studying tumour pathology in mutation carriers and estimating prospective breast cancer risks in BRCA1 and BRCA2 mutation carriers. Her PhD thesis involved incorporating tumour pathology information the genetic risk prediction algorithm BOADICEA. This work has now been used to extend the BOADICEA web interface, widely used by genetic counsellors and health practitioners for risk prediction.
Publications
Mavaddat N, Pharoah PD, Michailidou K et al (2015) Prediction of breast cancer risk based on profiling with common genetic variants. J Natl Cancer Inst.107(5)
Mavaddat N, Peock S, Frost D, Ellis S, Platte R, Fineberg E et al. (2013) Cancer risks for BRCA1 and BRCA2 mutation carriers: results from prospective analysis of EMBRACE. J Natl Cancer Inst. 105(11):812-22.
Mavaddat N, Barrowdale, D, Andrulis, I, Domchek, Eccles, D. et al. (2012) Pathology of breast, ovarian and contralateral breast cancers among BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Cancer Epidemiol Biomarkers Prev. 21(1):134-47.
Mavaddat N, Antoniou AC, Easton DF, Garcia-Closas M. (2010) Genetic susceptibility to breast cancer. Mol Oncol. 4, 174-191.
Mavaddat N, Rebbeck TR, Lakhani SR, Easton DF, Antoniou AC. (2010) Incorporating tumour pathology information into breast cancer risk prediction algorithms. Breast Cancer Res. 12, R28.
