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.

Yiu, A. et al. (2025) “Semiparametric posterior corrections”, Journal of the Royal Statistical Society, Series B (Statistical Methodology), 87(4), pp. 1025–1054.

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

Kraemer, M. et al. (2025) “Artificial intelligence for modelling infectious disease epidemics”, Nature, 638(8051), pp. 623–635.

Gallagher, K. et al. (2025) “Identification and attribution of weekly periodic biases in global epidemiological time series data”, BMC Research Notes, 18(1).

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].

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

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.