Coalescent inference for infectious disease

Today my student Bethany Dearlove has her first paper published, called Coalescent inference for infectious disease: meta-analysis of hepatitis C. In this paper, published in Philosophical Transactions of the Royal Society B, we have developed coalescent-based population genetics methods for popular, deterministic, epidemiological models known as SI (susceptible-infectious), SIS (susceptible-infectious-susceptible) and SIR (susceptible-infectious-recovered). By implementing these methods in BEAST, we were able to re-analyse previously published hepatitis C virus datasets and directly estimate epidemiological parameters. Our results show that, in the absence of co-infection, the widely-used exponential growth and logistic growth models of changing population size correspond directly to SI and SIS dynamics. We were also able to examine the limitations to genetic approaches to reconstructing epidemiological dynamics.

This paper appears as part of an issue on Next-generation molecular and evolutionary epidemiology of infectious disease, which accompanies a Royal Society discussion meeting organized by Oli Pybus, Christophe Fraser and Andrew Rambaut. The Royal Society has made audio recordings of the talks at this meeting, and the accompanying satellite meeting, available online, including my talk on Bethany's paper.

James Martin Fellowship

This position is now closed. A prestigious James Martin Fellowship funded by the Oxford Martin School is available in my research group for a highly motivated and creative population geneticist interested in developing cutting edge methods for the analysis of high-throughput whole genome sequencing data to better understand the evolution and epidemiology of the major pathogens HIV and Hepatitis C Virus.

The position, which is part of the Curing Chronic Viral Infections project, is fully funded for three years and is affiliated with the Institute for Emerging Infections, the Modernising Medical Microbiology consortium, the Peter Medawar Building for Pathogen Research and the Nuffield Department of Medicine. The ideal candidate will have a track record in statistical or computational genetics and experience of programming in a language such as C++ or Java.

Full details can be found on the University of Oxford Recruitment website. Please send informal enquiries, with a CV, to me by email. The deadline for applications is 12 noon on 27th November 2012.

Post-doc Positions in Pathogen Genomics

Post-doc positions in Pathogen Genomics are available in my group and Derrick Crook's lab. We will be hiring people to work on pathogen whole genome sequence analysis and bioinformatics. More details available soon. In the meantime, find out about our research:

• Nuffield Department of Medicine: Dr Daniel Wilson
• Nuffield Department of Medicine: Prof Derrick Crook
• Oxford Martin School: Health and Medicine
• Modernising Medical Microbiology
• Oxford Biomedical Research Centre: Infection Theme

If you are interested, please get in touch.