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.

Lazaridis, I. et al. (2025) “The genetic origin of the Indo-Europeans”, Nature, pp. 1–11.

Hu, S. et al. (2025) “Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits”, Nature Genetics, 57(2), pp. 379–389.

Penn, M. et al. (2025) “Bayesian inference of phylogenetic distances: revisiting the eigenvalue approach”, Bulletin of Mathematical Biology, 87(2).

Hayes, S. et al. (2025) “Understanding reservoirs of multi-host pathogens: a One Health approach to rabies in Tanzania”, One Health Cases [Preprint].

Atchison, C. et al. (2025) “Strategies to increase response rate and reduce non-response bias in population health research: a series of randomised controlled trials during a large COVID-19 study”, JMIR Public Health and Surveillance, 11.

Loya, H. et al. (2025) “A scalable variational inference approach for increased mixed-model association power”, Nature Genetics, 57(2), pp. 461–468.

Voller, C. et al. (2025) “Can biosecurity on farms reduce bovine tuberculosis risks in cattle in England? a review of observational and literature-based evidence”, Veterinary Record, 196(1).

Gelabert, P. et al. (2025) “Social and genetic diversity in first farmers of central Europe”, Nature Human Behaviour, 9(1), pp. 53–64.

Steyn, N. et al. (2025) “Bayesian modelling of repeated cross-sectional epidemic prevalence survey data”, medRxiv.

Milne, G. et al. (2025) “Climate-driven rodent infection dynamics align with Lassa fever seasonality in humans”, medRxiv.