Professor of Statistical Genetics
My research covers several areas in the analysis of genetic variation, combining the development of methods for analyzing high throughput sequencing data, theoretical work and empirical analysis. Of particular interest are: the analysis of recombination from population genetic data, dissecting signals of disease association within the HLA, methods for inferring genealogical history from DNA sequence data and de novo sequence assembly for the discovery of genetic variation. I am a member of the Department of Statistics and the Oxford Big Data Institute.
The impact of age on genetic risk for common diseases.
Jiang X. et al, (2021), PLoS genetics, 17
Elucidating relationships between P.falciparum prevalence and measures of genetic diversity with a combined genetic-epidemiological model of malaria.
Hendry JA. et al, (2021), PLoS computational biology, 17
Accounting for long-range correlations in genome-wide simulations of large cohorts.
Nelson D. et al, (2020), PLoS genetics, 16
Identifying cross-disease components of genetic risk across hospital data in the UK Biobank.
Cortes A. et al, (2020), Nature genetics, 52, 126 - 134
Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania.
Malaria Genomic Epidemiology Network None., (2019), Nature communications, 10