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., Holton, D. and Hoch, A. (2015) “Thermal dimensioning to determine acceptable waste package loading and spatial configurations of heat-generating waste packages”, in Mineralogical Magazine. Mineralogical Society, pp. 1625–1632.

Busby, G. et al. (2015) “The role of recent admixture in forming the contemporary West Eurasian genomic landscape”, Current Biology, 25(19), pp. 2518–2526.

Garske, T. et al. (2015) “INFERRING THE YELLOW FEVER FORCE OF INFECTION FROM THE OBSERVED AGE DISTRIBUTION OF CONFIRMED CASES”, in AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE. AMER SOC TROP MED & HYGIENE, pp. 441–441.

Donnelly, C. and Woodroffe, R. (2015) “Badger-cull targets unlikely to reduce TB”, Nature, 526(7575), pp. 640–640.

Donnelly, C. et al. (2015) “Exploration of the power of routine surveillance data to assess the impacts of industry‐led badger culling on bovine tuberculosis incidence in cattle herds”, Veterinary Record, 177(16), pp. 417–417.

Vial, F. et al. (2015) “Bovine Tuberculosis Risk Factors for British Herds Before and After the 2001 Foot‐and‐Mouth Epidemic: What have we Learned from the TB99 and CCS2005 Studies?”, Transboundary and Emerging Diseases, 62(5), pp. 505–515.

Hrabě de Angelis, M. et al. (2015) “Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics”, Nature Genetics, 47(9), pp. 969–978.

van Dorp, L. et al. (2015) “Evidence for a Common Origin of Blacksmiths and Cultivators in the Ethiopian Ari within the Last 4500 Years: Lessons for Clustering-Based Inference”, PLOS Genetics, 11(8), p. e1005397.

Lipsitch, M. et al. (2015) “Potential Biases in Estimating Absolute and Relative Case-Fatality Risks during Outbreaks”, PLOS Neglected Tropical Diseases, 9(7), p. e0003846.