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.

Rahmioglu, N. et al. (2017) “Variability of genome-wide DNA methylation and mRNA expression profiles in reproductive and endocrine disease related tissues”, Epigenetics, 12(10), pp. 897–908.

Altemose, N. et al. (2017) “A map of human PRDM9 binding provides evidence for novel behaviors of PRDM9 and other zinc-finger proteins in meiosis”, eLife, 6, p. e28383.

Daly, A. et al. (2017) “Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models”, Interface, 14(134).

Gazal, S. et al. (2017) “Linkage disequilibrium dependent architecture of human complex traits reveals action of negative selection”, Nature Genetics, 49, pp. 1421–1427.

Lourenco, J. et al. (2017) “Epidemiological and ecological determinants of Zika virus transmission in an urban setting”, eLife, 6(eLife 2017).

Brunton, L. et al. (2017) “Assessing the effects of the first 2 years of industry‐led badger culling in England on the incidence of bovine tuberculosis in cattle in 2013–2015”, Ecology and Evolution, 7(18), pp. 7213–7230.

Drovandi, C. et al. (2017) “Principles of Experimental Design for Big Data Analysis”, Statistical Science, 32(3), pp. 385–404.

Dorigatti, I. et al. (2017) “International risk of yellow fever spread from the ongoing outbreak in Brazil, December 2016 to May 2017”, Eurosurveillance, 22(28), p. 30572.

Pafitanis, G. et al. (2017) “Intimal Surface Suture Line (End-Product) Assessment of End-to-Side Microvascular Anastomosis”, Plastic & Reconstructive Surgery Global Open, 5(7), p. e1409.

Wang, Z. et al. (2017) “Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration”, p. 146795.