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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.

Davies, J. et al. (2012) “A novel test for gene-ancestry interactions in genome-wide association data”, PloS ONE, 7(12), p. ARTN e48687.
Palamara, P. et al. (2012) “Length Distributions of Identity by Descent Reveal Fine-Scale Demographic History”, American Journal of Human Genetics, 91(6), pp. 1150–1150.
Maller, J. et al. (2012) “Bayesian refinement of association signals for 14 loci in 3 common diseases”, Nature Genetics, 44(12), pp. 1294–1301.
Maller, J. et al. (2012) “Bayesian refinement of association signals for 14 loci in 3 common diseases”, Nature Genetics, 44(12), pp. 1294–1301.
Blake, I. and Donnelly, C. (2012) “Estimating risk over time using data from targeted surveillance systems: Application to bovine tuberculosis in Great Britain”, Epidemics, 4(4), pp. 179–186.
Wolbers, M. et al. (2012) “Considerations in the design of clinical trials to test novel entomological approaches to dengue control”, PLoS Neglected Tropical Diseases, 6(11), p. e1937.
Cazier, J.-B., Holmes, C. and Broxholme, J. (2012) “GREVE: Genomic Recurrent Event ViEwer to assist the identification of patterns across individual cancer samples”, Bioinformatics, 28(22), pp. 2981–2982.
Palamara, P. et al. (2012) “Length Distributions of Identity by Descent Reveal Fine-Scale Demographic History”, American Journal of Human Genetics, 91(5), pp. 809–822.
Harris, A. et al. (2012) “Successful suppression of a field mosquito population by sustained release of engineered male mosquitoes”, Nature Biotechnology, 30(9), pp. 828–830.
Campbell, C. et al. (2012) “North African Jewish and non-Jewish populations form distinctive, orthogonal clusters”, Proceedings of the National Academy of Sciences of the United States of America, 109(34), pp. 13865–13870.