Telephone: +44 01223 748672
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 Dr 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.
Daniel’s current research interests are analyses of data obtained by the CIMBA consortium. This involves applying specialised statistical methodology to analyse individuals that harbour BRCA1 and BRCA2 mutations to detetmine associations between cancer status and genetic variants.
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