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.

Chen, J. et al. (2026) “Incorporating Uncertainty in Study Participants’ Age in Serocatalytic Models”, medRxiv.

Sangkaew, S. et al. (2026) “Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand”, PLOS Digital Health, 5(2), p. e0001171.

Donnelly, C. et al. (2026) “Increased activity in broiler chickens is associated with better feed conversion”, Poultry Science, pp. 106599–106599.

Hujoel, M. et al. (2026) “Insights into DNA repeat expansions among 900,000 biobank participants”, Nature, 650(8103), pp. 920–929.

Whitaker, M. et al. (2026) “Profiling vaccine attitudes and subsequent uptake in 1·1 million people in England: a nationwide cohort study”, The Lancet [Preprint].

Sun, Z. et al. (2026) “GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning”, in Knowledge Graphs. Springer Nature, pp. 51–62.

Lang, M. et al. (2025) “Shared risk factors for malaria and schistosomiasis co-infection: a systematic review and meta-analysis”, medRxiv.

Gregoire, V. et al. (2025) “Public reporting guidelines for outbreak data: enabling accountability for effective outbreak response by developing standards for transparency and uniformity”, Public Health [Preprint].

Hayes, S. et al. (2025) “Ecology and environment predict spatially stratified risk of H5 highly pathogenic avian influenza clade 2.3.4.4b in wild birds across Europe”, Scientific Reports, 16(1).

Zhu, J. et al. (2025) “Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits”, Cell Genomics, p. 101072.