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.

Nam, K. et al. (2015) “Extreme selective sweeps independently targeted the X chromosomes of the great apes”, Proceedings of the National Academy of Sciences of the United States of America, 112(20), pp. 6413–6418.

Taylor, J. et al. (2015) “Factors influencing success of clinical genome sequencing across a broad spectrum of disorders.”, Nature Genetics, 47(7), pp. 717–726.

Rantalainen, M., Lindgren, C. and Holmes, C. (2015) “Robust Linear Models for Cis-eQTL Analysis”, PLOS ONE, 10(5), p. e0127882.

Williams, A. et al. (2015) “Non-crossover gene conversions show strong GC bias and unexpected clustering in humans”, eLife, 4.

Larkin, S. et al. (2015) “3D widefield light microscope image reconstruction without dyes”, in Proceedings of SPIE--the International Society for Optical Engineering. SPIE, the international society for optics and photonics, p. 93300s-93300s-15.

Leslie, S. et al. (2015) “The fine-scale genetic structure of the British population”, Nature, 519(7543), pp. 309–314.

Locke, A. et al. (2015) “Genetic studies of body mass index yield new insights for obesity biology”, Nature, 518(7538), pp. 197–206.

Montinaro, F. et al. (2015) “Unravelling the hidden ancestry of American admixed populations.”, Nature communications [Preprint].

Parker, A. et al. (2015) “The goya mouse mutant reveals distinct newly identified roles for MAP3K1 in the development and survival of cochlear sensory hair cells”, Disease Models & Mechanisms, 8(12), pp. 1555–1568.

Holmes, C., Bissiri, P. and Walker, S. (2015) “A general framework for updating belief distributions”, Journal of the Royal Statistical Society Series B: Statistical Methodology [Preprint].