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.

Ghanem, A. and Myers, S. (2015) “Simulation learning in plastic surgery”, in PLASTIC AND RECONSTRUCTIVE SURGERY: APPROACHES AND TECHNIQUES, pp. 1107–1120.

Myers, S. and Ghanem, A. (2015) “Wound healing and scar formation”, in PLASTIC AND RECONSTRUCTIVE SURGERY: APPROACHES AND TECHNIQUES, pp. 3–11.

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, p. 1942.

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), p. 102.

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), p. 68.

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.

Aylward, B. et al. (2014) “Ebola Virus Disease in West Africa — The First 9 Months of the Epidemic and Forward Projections”, New England Journal of Medicine, 371(16), pp. 1481–1495.

Petousi, N. et al. (2014) “Erythrocytosis associated with a novel missense mutation in the BPGM gene”, Haematologica, 99(10), pp. e201 - e204.