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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Genetic mapping across autoimmune diseases reveals shared associations and mechanisms.
Journal article
Lincoln MR. et al, (2024), Nature genetics, 56, 838 - 845
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High-resolution African HLA resource uncovers HLA-DRB1 expression effects underlying vaccine response
Journal article
Mentzer AJ. et al, (2024), Nature Medicine, 30, 1384 - 1394
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A common NFKB1 variant detected through antibody analysis in UK Biobank predicts risk of infection and allergy.
Journal article
Chong AY. et al, (2024), American journal of human genetics, 111, 295 - 308
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A systematic evaluation of the performance and properties of the UK Biobank Polygenic Risk Score (PRS) Release.
Journal article
Thompson DJ. et al, (2024), PloS one, 19
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Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk
Journal article
Jiang X. et al, (2023), Nature Genetics, 55, 1854 - 1865