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.

Hu, S. et al. (2023) “Leveraging fine-scale population structure reveals conservation in genetic effect sizes between human populations across a range of human phenotypes”, bioRxiv.

Shi, S. et al. (2023) “A Genomics England haplotype reference panel and the imputation of the UK Biobank”, medRxiv.

Giner-Sorolla, R. and Myers, S. (2023) “On cooperative libertines and wicked puritans”, Behavioral and Brain Sciences, 46, p. e306.

McCabe, R. et al. (2023) “Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey”, medRxiv.

Jewson, J., Ghalebikesabi, S. and Holmes, C. (2023) “Differentially Private Statistical Inference through β-Divergence One Posterior Sampling”, in Advances in Neural Information Processing Systems.

Ghalebikesabi, S. et al. (2023) “Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates”, in Proceedings of Machine Learning Research, pp. 658–668.

Hayes, S. et al. (2023) “Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry”, medRxiv.

Pritchard, M. et al. (2023) “Natural immune boosting can cause synchrony in susceptibility and outbreaks of respiratory infections with rapidly waning immunity”, medRxiv.

Bajaj, S. et al. (2023) “Understanding COVID-19 testing behaviour in England through a sociodemographic lens”, medRxiv.