Professor Daniel Wilson
- Automated risk factor discovery for large-scale biobank data
- Discovering human and bacterial genes driving infection risk
- Identifying novel antimicrobial resistance genes from public databases
- Infectious Disease Epidemiology Unit
- Pathogen population genomics methods and applications
- Statistical methods for joint human-pathogen genome-wide association studies
Sir Henry Dale Fellow
My research interests centre on the development and application of tools for microbial genomics, in particular population genetics, to understanding human pathogens. I am involved in the Modernising Medical Microbiology, STOP HCV and CRYPTIC consortia, projects with the common aim of using genomics to better understand clinically important microorganisms.
Laboratory diagnosed microbial infection in English UK Biobank participants in comparison to the general population.
Hilton B. et al, (2023), Sci Rep, 13
Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of M. tuberculosis.
CRyPTIC Consortium None., (2022), Eur Respir J, 60
A first update on mapping the human genetic architecture of COVID-19.
COVID-19 Host Genetics Initiative None., (2022), Nature, 608, E1 - E10
Genome-wide association studies of global Mycobacterium tuberculosis resistance to 13 antimicrobials in 10,228 genomes identify new resistance mechanisms.
The CRyPTIC Consortium None., (2022), PLoS Biol, 20
Minos: variant adjudication and joint genotyping of cohorts of bacterial genomes.
Hunt M. et al, (2022), Genome Biol, 23