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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.

Padellini, T. et al. (2022) “Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study”, The Lancet Regional Health - Europe, 15, pp. 100322 – 100322.
Chadeau-Hyam, M. et al. (2022) “SARS-CoV-2 infection and vaccine effectiveness in England (REACT-1): a series of cross-sectional random community surveys”, The Lancet Respiratory Medicine, 10(4), pp. 355–366.
Unwin, H. et al. (2022) “Global, regional, and national minimum estimates of children affected by COVID-19-associated orphanhood and caregiver death, by age and family circumstance up to Oct 31, 2021: an updated modelling study.”, The Lancet. Child & adolescent health, 6(4), pp. 249–259.
Unwin, H. et al. (2022) “Global, regional, and national minimum estimates of children affected by COVID-19-associated orphanhood and caregiver death, by age and family circumstance up to Oct 31, 2021: an updated modelling study.”, The Lancet. Child & adolescent health, 6(4), pp. 249–259.
Elliott, P. et al. (2022) “Rapid increase in Omicron infections in England during December 2021: REACT-1 study”, Science, 375(6587), pp. eabn8347 - eabn8347-.
Espinosa-Guerra, E. et al. (2022) “Mental health consequences of COVID-19 in house staff physicians”, F1000Research, 11, pp. 303 – 303.
Ward, H. et al. (2022) “Population antibody responses following COVID-19 vaccination in 212,102 individuals”, Nature Communications, 13(1), pp. 907–907.
Ramisch, A. et al. (2022) “Dynamics of gene regulatory organization in longitudinal twin RNA-seq data”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 67–67.
Venkatesh, S. et al. (2022) “Genetic architecture of longitudinal obesity trajectories in primary care electronic health records”, in HUMAN HEREDITY, pp. 21–22.
Ghalebikesabi, S. et al. (2022) “Mitigating Statistical Bias within Differentially Private Synthetic Data”, in Proceedings of Machine Learning Research, pp. 685–695.