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Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Myers, S. and Ghanem, A. (2015) “Wound healing and scar formation”, in PLASTIC AND RECONSTRUCTIVE SURGERY: APPROACHES AND TECHNIQUES, pp. 3–11.
Parker, A. et al. (2015) “The goya mouse mutant reveals distinct newly identified roles for MAP3K1 in the development and survival of cochlear sensory hair cells”, Disease Models & Mechanisms, 8(12), pp. 1555–1568.
Holmes, C., Bissiri, P. and Walker, S. (2015) “A general framework for updating belief distributions”, Journal of the Royal Statistical Society Series B: Statistical Methodology [Preprint].
Montinaro, F. et al. (2015) “Unravelling the hidden ancestry of American admixed populations.”, Nature communications [Preprint].
Knight, S. et al. (2014) “The Identification of Further Minimal Regions of Overlap in Chronic Lymphocytic Leukemia Using High-Resolution SNP Arrays”, Blood, 124(21), pp. 3315 – 3315.
Clifford, R. et al. (2014) “Towards Response Prediction Using Integrated Genomics in Chronic Lymphocytic Leukaemia: Results on 250 First-Line FCR Treated Patients from UK Clinical Trials”, in Blood. American Society of Hematology, pp. 1942 – 1942.
Winskill, P. et al. (2014) “Genetic control of Aedes aegypti: data-driven modelling to assess the effect of releasing different life stages and the potential for long-term suppression”, Parasites & Vectors, 7(1), pp. 68 – 68.
Taylor, A. et al. (2014) “Estimation of malaria haplotype and genotype frequencies: a statistical approach to overcome the challenge associated with multiclonal infections”, Malaria Journal, 13(1), pp. 102 – 102.
Pinnick, K. et al. (2014) “Distinct developmental profile of lower-body adipose tissue defines resistance against obesity-associated metabolic complications.”, Diabetes, 63(11), pp. 3785–3797.
Pinnick, K. et al. (2014) “Distinct developmental profile of lower-body adipose tissue defines resistance against obesity-associated metabolic complications.”, Diabetes, 63(11), pp. 3785–3797.