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.

Lissenden, N. et al. (2021) “Review and Meta-Analysis of the Evidence for Choosing between Specific Pyrethroids for Programmatic Purposes”, Insects, 12(9), p. 826.

Bhatia, S. et al. (2021) “Estimating the number of undetected COVID-19 cases among travellers from mainland China”, Wellcome Open Research, 5, p. 143.

Davies, B. et al. (2021) “Altering the binding properties of PRDM9 partially restores fertility across the species boundary”, Molecular Biology and Evolution, 38(12), pp. 5555–5562.

Siejka-Zielinska, P. et al. (2021) “Cell-free DNA TAPS provides multimodal information for early cancer detection”, Science Advances, 7(36).

Lushasi, K. et al. (2021) “Reservoir dynamics of rabies in south-east Tanzania and the roles of cross-species transmission and domestic dog vaccination”, Journal of Applied Ecology, 58(11), pp. 2673–2685.

Jiang, X., Holmes, C. and McVean, G. (2021) “The impact of age on genetic risk for common diseases”, PLOS Genetics, 17(8).

Dorigatti, I. et al. (2021) “Author Correction: SARS-CoV-2 antibody dynamics and transmission from community-wide serological testing in the Italian municipality of Vo’”, Nature Communications, 12(1), p. 5020.

Mishra, S. et al. (2021) “Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling”, Scientific Reports, 11.

Redd, R. et al. (2021) “Behavioural responses to SARS-CoV-2 antibody testing in England: REACT-2 study”, Wellcome Open Research, 6, p. 203.

Williams, L. et al. (2021) “Measuring vaccine efficacy against infection and disease in clinical trials: sources and magnitude of bias in COVID-19 vaccine efficacy estimates”, p. 2021.07.30.21260912.