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.
Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.
Jiang X. et al, (2023), Nat Genet
Topic modeling identifies novel genetic loci associated with multimorbidities in UK Biobank.
Zhang Y. et al, (2023), Cell genomics, 3
Optimal strategies for learning multi-ancestry polygenic scores vary across traits
Lehmann B. et al, (2023), Nature Communications, 14
The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits.
Costanzo MC. et al, (2023), Cell Metab
Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk
Jiang X. et al, (2022)