Andrew Leigh-Brown
Contact details
- Tel: +44 (0)131 650 5523
- Email: A.Leigh-Brown@ed.ac.uk
- Web: Lab website
Address
- Street
-
Room G.66
Ashworth Laboratories
Kings Buildings - City
- Edinburgh
- Post code
- EH9 3FL
Background
1973 | BSc (Hons) Zoology University College London |
1976 | PhD; Department of Genetics, University of Leicester |
1977 - 1978 | Visiting Fellow, National Institute of Environmental Health Sciences, (NIH), North Carolina, U.S.A. |
1979 - 1982 | Research Fellow , Imperial Cancer Research Fund, London |
1982 - 1984 | SERC Advanced Fellow, School of Biological Sciences, University of Sussex |
1984 - 1992 | Lecturer, Department of Genetics, University of Edinburgh |
1992 - 1998 | Reader, Institute of Cell, Animal and Population Biology |
1992 - 2000 | Convenor, Centre for HIV Research, University of Edinburgh |
1998 - present | Professor of Evolutionary Genetics, University of Edinburgh |
2000 - 2002 | Visiting Professor, Department of Pathology, University of California San Diego |
2006 | Elected Fellow of the Royal Society of Edinburgh |
2003 - 2007 | Head of Institute, IEB |
Undergraduate teaching
- Evolution in Action 2 (BI0012)
- Evolutionary and Ecological Genetics 3 (IP0002)
Honours Modules
- Molecular and Cellular Basis of HIV Infection (U00682)
- Molecular Phylogenetics (U03444)
Postgraduate teaching
Postgraduate Programme Director: MSc in Quantitative Genetics and Genome Analysis
Research summary
My area of research is the analysis of genetic variation and evolution of HIV, particularly the evolution of drug resistance. I returned from an appointment as a Visiting Professor at the University of California San Diego in 2002 and retain close links with collegues there.
In current research in Edinburgh we are studying using statistical and machine learning approaches to study the genetic basis of combination antiretroviral drug resistance in HIV and influenza. This work is currently supported by the BBSRC.
I am also analyzing factors influencing transmission of drug resistant strains of HIV, and modelling their future spread. Using HIV sequences obtained in the course of clinical treatment we are able to reconstruct the recent HIV epidemic in the UK to understand the temporal patterns of sexual transmission. This involves collaborations with colleagues in London and elsewhere as part of a UK-wide multicentre study of the drug resistance as a determinant of clinical response to antiretroviral therapy. This work is supported by the Medical Research Council.
For several years we have also been interested in the population genetics of HIV within infected patients and the factors influencing the pattern of mutations conferring drug resistance. This has recently extended to studies of CTL-mediated selection using codon-based models, especially in the coding regions of HIV-1 protease and reverse transcriptase. This work is supported by the NIH.