Senior Research Associate
Email: drb54@medschl.cam.ac.uk
Telephone: +44 01223 748672
Background
Daniel studied mathematics (BSc, Leicester) and medical statistics (MSc, Leicester) before working as a statistician at the MRC Epidemiology Unit (Cambridge). He then studied genetic epidemiology (PhD, Cambridge) under the supervision of Prof Antonis Antoniou, focusing on the development and application of statistical methods to analyse the associations between genetic variants and disease risk under non-random sampling designs at the Centre for Cancer Genetic Epidemiology (CCGE). This work was motivated by women with mutations in BRCA1 and BRCA2 and women considered at high-risk of developing disease because of a strong family history. Immediately before rejoining CCGE, Daniel worked as a Research Associate statistician (genetics) at the Cardiovascular Epidemiology Unit, University of Cambridge. In this role he worked on genetic association studies and pathway analyses, applying these methods to analyses genetic causes of cardiovascular disease and related traits.
Research Interests
Daniel’s current research interests are statistical analyses of BRCA1 and BRCA2 gene mutation carriers, primarily through data obtained by the CIMBA consortium. These individuals are at increased risk of breast cancer and ovarian cancer in women, and breast cancer and prostate cancer in men. Analyses that Daniel is particularly interested in are genome-wide association analyses, fine-mapping, polygenic risk scores, gene-based testing and pathway analyses.
Selected Publications
Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers
Karoline B Kuchenbaecker, John L Hopper, Daniel R Barnes et al Journal of the American Medical Association 2017; 317(23):2402-2416
Estimating single nucleotide polymorphism associations using pedigree data: applications to breast cancer DR Barnes, D Barrowdale, J Beesley, X Chen, PA James, JL Hopper, D Goldgar, G Chenevix-Trench, AC Antoniou and G Mitchell, British Journal of Cancer Vol 108(12):2610-2622
Evaluation of association methods for analysing modifiers of disease risk in carriers of high-risk mutations Daniel R Barnes, Andrew Lee, EMBRACE Investigators, kConFab Investigators, Douglas F Easton and Antonis C Antoniou , Genetic Epidemiology Vol 36(3):274-291
Unravelling modifiers of breast and ovarian cancer risk for BRCA1 and BRCA2 mutation carriers: update on genetic modifiers Daniel R Barnes and Antonis C Antoniou, Journal of Internal Medicine Vol 271(4):331-343
Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants
Daniel R Barnes, Matti A Rookus, Lesley McGuffog et al Genetics in Medicine 2020; 22(10):1653-1666
Breast and Prostate Cancer Risks for Male BRCA1 and BRCA2 Pathogenic Variant Carriers Using Polygenic Risk Scores
Daniel R Barnes, Valentina Silvestri, Goska Leslie et al Journal of the National Cancer Institute 2022; 114(1):109-122