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.

Chan, A.-W. et al. (2020) “Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension”, Nature Medicine, 26(9), pp. 1364–1374.

Wells, D. et al. (2020) “ZCWPW1 is recruited to recombination hotspots by PRDM9 and is essential for meiotic double strand break repair”, Genetics and Genomics, 9.

Kim, E. et al. (2020) “The end game – A quantitative assessment tool for anastomosis in simulated microsurgery”, Journal of Plastic Reconstructive & Aesthetic Surgery, 73(6), pp. 1116–1121.

Behr, M. et al. (2020) “Testing for dependence on tree structures”, Proceedings of the National Academy of Sciences of the United States of America, 117(18), pp. 9787–9792.

Banerjee, A. et al. (2020) “Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study”, The Lancet, 395(10238), pp. 1715–1725.

Bhutta, M. et al. (2019) “Transcript Analysis Reveals a Hypoxic Inflammatory Environment in Human Chronic Otitis Media With Effusion”, Frontiers in Genetics, 10, p. 1327.

Fong, E. and Holmes, C. (2020) “On the marginal likelihood and crossvalidation”, Biometrika, 107(2), pp. 489–496.

Pafitanis, G. et al. (2020) “The ‘Needle-splint’ Technique: A Method of Accurate Apposition and Eversion during Microvascular Anastomosis”, Plastic & Reconstructive Surgery Global Open, 8(1), p. e2611.

Kleidona, I. et al. (2020) “Fractional radiofrequency in the treatment of skin aging: an evidence-based treatment protocol”, Journal of Cosmetic and Laser Therapy, 22(1), pp. 9–25.

Jiang, X., Holmes, C. and McVean, G. (2020) “The impact of age on genetic risk for common diseases.”