Gil McVean
FMedSci, FRS
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.
Recent publications
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The impact of age on genetic risk for common diseases.
Journal article
Jiang X. et al, (2021), PLoS genetics, 17
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Elucidating relationships between P.falciparum prevalence and measures of genetic diversity with a combined genetic-epidemiological model of malaria.
Journal article
Hendry JA. et al, (2021), PLoS computational biology, 17
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Accounting for long-range correlations in genome-wide simulations of large cohorts.
Journal article
Nelson D. et al, (2020), PLoS genetics, 16
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Identifying cross-disease components of genetic risk across hospital data in the UK Biobank.
Journal article
Cortes A. et al, (2020), Nature genetics, 52, 126 - 134
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Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania.
Journal article
Malaria Genomic Epidemiology Network None., (2019), Nature communications, 10