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.
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Inferring the multiplicity of founder variants initiating HIV-1 infection: a systematic review and individual patient data meta-analysis
In:
The Lancet Microbe, vol. 4, pp. e102-e112
DOI: https://doi.org/10.1016/S2666-5247(22)00327-5
Research output: Contribution to Journal › Article (Published) -
A large population sample of African HIV genomes from the 1980s reveals a reduction in subtype D over time associated with propensity for CXCR4 tropism
(10 pages)
In:
Retrovirology, vol. 19
DOI: https://doi.org/10.1186/s12977-022-00612-5
Research output: Contribution to Journal › Article (Published) -
Detection of HIV-1 transmission clusters from dried blood spots within a universal test-and-treat trial in East Africa
(18 pages)
In:
Viruses, vol. 14
DOI: https://doi.org/10.3390/v14081673
Research output: Contribution to Journal › Article (Published) -
Detection of HIV-1 Transmission Clusters from Dried Blood Spots within a Universal Test-and-Treat Trial in East Africa
In:
Viruses, vol. 14
DOI: https://doi.org/10.3390/v14081673
Research output: Contribution to Journal › Article (Published) -
Employing phylogenetic tree shape statistics to resolve the underlying host population structure
(20 pages)
In:
BMC Bioinformatics, vol. 22
DOI: https://doi.org/10.1186/s12859-021-04465-1
Research output: Contribution to Journal › Article (Published) -
Phylogenetic Networks and Parameters Inferred from HIV Nucleotide Sequences of High-Risk and General Population Groups in Uganda: Implications for Epidemic Control
In:
Viruses, vol. 13
DOI: https://doi.org/10.3390/v13060970
Research output: Contribution to Journal › Article (Published) -
The Molecular Epidemiology and Transmission Dynamics of HIV Type 1 in a General Population Cohort in Uganda
In:
Viruses, vol. 12
DOI: https://doi.org/10.3390/v12111283
Research output: Contribution to Journal › Article (Published) -
Pervasive and non-random recombination in near full-length HIV genomes from Uganda
(12 pages)
In:
Virus Evolution, vol. 6
DOI: https://doi.org/10.1093/ve/veaa004
Research output: Contribution to Journal › Article (Published) -
Inferring HIV-1 transmission networks and sources of epidemic spread in Africa with deep-sequence phylogenetic analysis
In:
Nature Communications, vol. 10
DOI: https://doi.org/10.1038/s41467-019-09139-4
Research output: Contribution to Journal › Article (Published) -
Phylogeography of HIV-1 suggests that Ugandan fishing communities are a sink for, not a source of, virus from general populations
(8 pages)
In:
Scientific Reports, vol. 9
DOI: https://doi.org/10.1038/s41598-018-37458-x
Research output: Contribution to Journal › Article (Published)