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.

Ghanem, A. et al. (2019) “Economy of Hand Motion During Cleft Palate Surgery Using a High-Fidelity Cleft Palate Simulator”, The Cleft Palate-Craniofacial Journal, 56(4), pp. 432–437.

Zecchin, B. et al. (2019) “Genetic and spatial characterization of the red fox (Vulpes vulpes) population in the area stretching between the Eastern and Dinaric Alps and its relationship with rabies and canine distemper dynamics”, PloS One, 14(3).

Schoech, A. et al. (2019) “Quantification of frequency-dependent genetic architectures in 25 UK Biobank traits reveals action of negative selection”, Nature Communications, 10.

Bycroft, C. et al. (2019) “Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula”, Nature Communications, 10.

Amimo, F. et al. (2019) “Trends in comparative efficacy and safety of malaria control interventions for maternal and child health outcomes in Africa: a study protocol for a Bayesian network meta-regression exploring the effect of HIV and malaria endemicity spectrum.”, BMJ open, 9(2), p. e024313.

Pafitanis, G. et al. (2019) “Microvascular anastomotic coupler application learning curve: A curriculum supporting further deliberate practice in ex-vivo simulation models”, Journal of Plastic Reconstructive & Aesthetic Surgery, 72(2), pp. 203–210.

Suwannahitatorn, P. et al. (2019) “Uncooked fish consumption among those at risk of Opisthorchis viverrini infection in central Thailand”, PloS ONE, 14(1).

Fong, E., Lyddon, S. and Holmes, C. (2019) “Scalable nonparametric sampling from multimodal posteriors with the posterior bootstrap”, in 36th International Conference on Machine Learning, ICML 2019, pp. 3443–3464.

Fong, E., Lyddon, S. and Holmes, C. (2019) “Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap”, in Proceedings of Machine Learning Research, pp. 1952–1962.

Collaborative, S. et al. (2019) “Critical care usage after major gastrointestinal and liver surgery: a prospective, multicentre observational study”, British Journal of Anaesthesia, 122(1), pp. 42–50.