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
Identification of genetic risk loci associated with aquaporin 4-positive neuromyelitis optica spectrum disorder: a genome-wide association study
Journal article
Attfield KE. et al, (2026), The Lancet Neurology, 25, 482 - 491
Preventing premature deaths through polygenic risk scores.
Journal article
Chuong M. et al, (2026), Nature communications, 17
Exposure accumulation drives age-dependent disease architectures and polygenic risk scores
Preprint
Jiang X. et al, (2025)
Protocol for using treeLFA to infer multimorbidity patterns in the form of disease topics from diagnosis data in biobanks.
Journal article
Zhang Y. et al, (2025), STAR protocols, 6
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