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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.

McMurray, F. et al. (2013) “Adult onset global loss of the FTO gene alters body composition and metabolism in the mouse”, PLoS Genetics, 9(1), p. e1003166.
Simon, M. et al. (2013) “A comparative phenotypic and genomic analysis of C57BL/6J and C57BL/6N mouse strains”, Genome Biology, 14(7), p. r82.
Livak, K. et al. (2013) “Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cells”, Methods, 59(1), pp. 71–79.
Drong, A. et al. (2013) “The Presence of Methylation Quantitative Trait Loci Indicates a Direct Genetic Influence on the Level of DNA Methylation in Adipose Tissue”, in PLOS ONE. Public Library of Science (PLoS), pp. e55923 - S163-S164.
Taylor, A. et al. (2013) “Statistical estimation of malaria genotype frequencies: a Bayesian approach”, TROPICAL MEDICINE & INTERNATIONAL HEALTH, 18, pp. 67–67.
Livak, K. et al. (2013) “Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cells”, Methods, 59(1), pp. 71–79.
Davies, J. et al. (2012) “A novel test for gene-ancestry interactions in genome-wide association data”, PloS ONE, 7(12), p. ARTN e48687.
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.
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.