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.
Niche-specific genome degradation and convergent evolution shaping Staphylococcus aureus adaptation during severe infections.
Giulieri SG. et al, (2022), Elife, 11
Targeted control of pneumolysin production by a mobile genetic element in Streptococcus pneumoniae.
Stevens EJ. et al, (2022), Microb Genom, 8
Niche-specific genome degradation and convergent evolution shaping Staphylococcus aureus adaptation during severe infections
Giulieri SG. et al, (2022)
Antimicrobial resistance determinants are associated with Staphylococcus aureus bacteraemia and adaptation to the healthcare environment: a bacterial genome-wide association study.
Young BC. et al, (2021), Microb Genom, 7
Genome-wide association studies reveal the role of polymorphisms affecting factor H binding protein expression in host invasion by Neisseria meningitidis.
Earle SG. et al, (2021), PLoS Pathog, 17