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. Prado-Martinez, J. et al. (2013) “Great ape genetic diversity and population history”, Nature, 499(7459), pp. 471–475. Ramachandran, S., Ghanem, A. and Myers, S. (2013) “Assessment of microsurgery competency‐where are we now?”, Microsurgery, 33(5), pp. 406–415. Donnelly, C. (2013) “Badger-cull statistics carry uncertainty”, Nature, 499(7457), pp. 154–154. Cauchemez, S. et al. (2013) “Transmission scenarios for Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and how to tell them apart.”, Eurosurveillance, 18(24). Randall, J. et al. (2013) “Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits”, PLoS Genetics, 9(6), p. e1003500. Donnelly, P. et al. (2013) “Erratum: Germline mutations affecting the proofreading domains of POLE and POLD1 predispose to colorectal adenomas and carcinomas”, Nature Genetics, 45(6), pp. 713–713. Koukounari, A. et al. (2013) “Using a Nonparametric Multilevel Latent Markov Model to Evaluate Diagnostics for Trachoma”, American Journal of Epidemiology, 177(9), pp. 913–922. Berndt, S. et al. (2013) “Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture”, Nature Genetics, 45(5), pp. 501–512. Bhatt, S. et al. (2013) “The evolutionary dynamics of influenza A virus adaptation to mammalian hosts”, Philosophical Transactions of the Royal Society B Biological Sciences, 368(1614), p. 20120382. Becker, J. et al. (2013) “NucleoFinder: a statistical approach for the detection of nucleosome positions”, Bioinformatics, 29(6), pp. 711–716. Previous page ‹‹ … Page 65 Page 66 Page 67 Page 68 Current page 69 Page 70 Page 71 Page 72 Page 73 … Next page ››