Dr William Harvey

Affiliate (School of Infection & Immunity)

MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker Building, Garscube Campus, 464 Bearsden Road, G61 1QH

Biography

Broadly speaking, my interests lie in the relationships between pathogens and their hosts, the evolution of traits such as resistance, virulence and host preference, and how an understanding of these processes can be used to inform disease control and intervention strategies. Based at the University of Glasgow, I am a member of the Institute of Health and Wellbeing and the Institute of Biodiversity, Animal Health and Comparative Medicine. I am currently undertaking a three-year UKRI Innovation Fellowship, jointly-funded by MRC and BBSRC, to investigate the structural basis of antigenic variation among both human and avian influenza viruses. My research involves a variety of laboratory techniques including serological assays and reverse genetics and computational techniques that integrate antigenic, genetic, and structural data within phylogenetic frameworks.

I completed my BSc in Evolutionary Biology at the University of Edinburgh focusing on the basis of sex-ratio bias within lineages of Drospohila miranda. I then moved to the University of Glasgow carrying out my PhD research on quantifying the genetic basis of antigenic variation among human influenza A viruses under the supervision of Dr Richard Reeve, Prof John McCauley (The Francis Crick Institute) and Prof Dan Haydon. I followed this as a post-doctoral position investigating the ecology of antimicrobial resistance in the greater Serengeti ecosystem working with Prof Louise Matthews. I am also a member of the multidisciplinary Boyd Orr Centre for Population and Ecosystem Health.

To find out more about my current and previous research, please visit my research website https://willharvey.me

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2014

Number of items: 27.

2023

Harvey, W. T., Davies, V. , Daniels, R. S., Whittaker, L., Gregory, V., Hay, A. J., Husmeier, D. , McCauley, J. W. and Reeve, R. (2023) A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. PLoS Computational Biology, 19(3), e1010885. (doi: 10.1371/journal.pcbi.1010885) (PMID:36972311) (Early Online Publication)

Carabelli, A. M., Peacock, T. P., Thorne, L. G., Harvey, W. T., Hughes, J. , Peacock, S. J., Barclay, W. S., de Silva, T. I., Towers, G. J. and Robertson, D. L. (2023) SARS-CoV-2 variant biology: immune escape, transmission and fitness. Nature Reviews Microbiology, 21(3), pp. 162-177. (doi: 10.1038/s41579-022-00841-7) (PMID:36653446) (PMCID:PMC9847462)

Cox, M. et al. (2023) SARS-CoV-2 variant evasion of monoclonal antibodies based on in vitro studies. Nature Reviews Microbiology, 21(2), pp. 112-124. (doi: 10.1038/s41579-022-00809-7) (PMID:36307535) (PMCID:PMC9616429)

Manali, M. et al. (2023) SARS-CoV-2 evolution and patient immunological history shape the breadth and potency of antibody-mediated immunity. Journal of Infectious Diseases, 227(1), pp. 40-49. (doi: 10.1093/infdis/jiac332) (PMID:35920058) (PMCID:PMC9384671)

2022

Iannucci, S., Harvey, W., Hughes, J. , Robertson, D. L. , Hutchinson, E. and Poyade, M. (2022) Using molecular visualisation techniques to explain the molecular biology of SARS-CoV-2 spike protein mutations to a general audience. In: Shapiro, L. and Rea, P. M. (eds.) Biomedical Visualisation. Volume 12. Series: Advances in experimental medicine and biology (1388). Springer: Cham, pp. 129-152. ISBN 9783031108884 (doi: 10.1007/978-3-031-10889-1_6)

Willett, B. J. et al. (2022) SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway. Nature Microbiology, 7(8), pp. 1161-1179. (doi: 10.1038/s41564-022-01143-7) (PMID:35798890) (PMCID:PMC9352574)

Zhou, J. et al. (2022) Mutations that adapt SARS-CoV-2 to mink or ferret do not increase fitness in the human airway. Cell Reports, 38(6), 110344. (doi: 10.1016/j.celrep.2022.110344) (PMID:35093235) (PMCID:PMC8768428)

Forde, T. L. et al. (2022) Population genomics of Bacillus anthracis from an anthrax hyperendemic area reveals transmission processes across spatial scales and unexpected within-host diversity. Microbial Genomics, 8(2), 000759. (doi: 10.1099/mgen.0.000759) (PMID:35188453) (PMCID:PMC8942019)

Wright, D. W. et al. (2022) Tracking SARS-CoV-2 mutations and variants through the COG-UK-Mutation Explorer. Virus Evolution, 8(1), veac023. (doi: 10.1093/ve/veac023) (PMID:35502202) (PMCID:PMC9037374)

2021

Vöhringer, H. S. et al. (2021) Genomic reconstruction of the SARS-CoV-2 epidemic in England. Nature, 600(7889), pp. 506-511. (doi: 10.1038/s41586-021-04069-y) (PMID:34649268) (PMCID:PMC8674138)

Davis, C. et al. (2021) Reduced neutralisation of the Delta (B.1.617.2) SARS-CoV-2 variant of concern following vaccination. PLoS Pathogens, 17(12), e1010022. (doi: 10.1371/journal.ppat.1010022) (PMID:34855916) (PMCID:PMC8639073)

Harvey, W. T. et al. (2021) SARS-CoV-2 variants, spike mutations and immune escape. Nature Reviews Microbiology, 19(7), pp. 409-424. (doi: 10.1038/s41579-021-00573-0) (PMID:34075212) (PMCID:PMC8167834)

Meng, B. et al. (2021) Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the variant of concern lineage B.1.1.7. Cell Reports, 35(13), 109292. (doi: 10.1016/j.celrep.2021.109292) (PMID:34166617) (PMCID:PMC8185188)

Collier, D. A. et al. (2021) Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies. Nature, 593(7857), pp. 136-141. (doi: 10.1038/s41586-021-03412-7) (PMID:33706364)

Peacock, T. P., Sealy, J. E., Harvey, W. T., Benton, D. J., Reeve, R. and Iqbal, M. (2021) Genetic determinants of receptor-binding preference and zoonotic potential of H9N2 avian influenza viruses. Journal of Virology, 95(5), e01651-20. (doi: 10.1128/JVI.01651-20) (PMID:33268517) (PMCID:PMC8092835)

Harvey, W. T., Mulatti, P., Fusaro, A., Scolamacchia, F., Zecchin, B., Monne, I. and Marangon, S. (2021) Spatiotemporal reconstruction and transmission dynamics during the 2016-17 H5N8 highly pathogenic avian influenza epidemic in Italy. Transboundary and Emerging Diseases, 68(1), pp. 37-50. (doi: 10.1111/tbed.13420) (PMID:31788978)

Scolamacchia, F., Mulatti, P., Mazzucato, M., Barbujani, M., Harvey, W. T., Fusaro, A., Monne, I. and Marangon, S. (2021) Different environmental gradients associated to the spatiotemporal and genetic pattern of the H5N8 highly pathogenic avian influenza outbreaks in poultry in Italy. Transboundary and Emerging Diseases, 68(1), pp. 152-167. (doi: 10.1111/tbed.13661) (PMID:32613724)

2020

Maake, L., Harvey, W., Rotherham, L., Opperman, P. A., Theron, J., Reeve, R. and Maree, F. F. (2020) Genetic basis of antigenic variation of SAT3 foot-and-mouth disease virus. Frontiers in Veterinary Science, 7, 568. (doi: 10.3389/fvets.2020.00568) (PMID:33102544) (PMCID:PMC7506032)

Forde, T. L. , Kollanandi Ratheesh, N., Harvey, W. T., Thomson, J. R., Williamson, S., Biek, R. and Opriessnig, T. (2020) Genomic and immunogenic protein diversity of Erysipelothrix rhusiopathiae isolated from pigs in Great Britain: implications for vaccine protection. Frontiers in Microbiology, 11, 418. (doi: 10.3389/fmicb.2020.00418) (PMID:32231655) (PMCID:PMC7083082)

2019

Davies, V. , Harvey, W. T., Reeve, R. and Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(4), pp. 859-885. (doi: 10.1111/rssc.12338) (PMID:31598013) (PMCID:PMC6774336)

2018

Peacock, T. P., Harvey, W. T., Sadeyen, J.-R., Reeve, R. and Iqbal, M. (2018) The molecular basis of antigenic variation among A(H9N2) avian influenza viruses. Emerging Microbes and Infections, 7, 176. (doi: 10.1038/s41426-018-0178-y) (PMID:30401826) (PMCID:PMC6220119)

2017

Goldstein, E. J., Harvey, W. T., Wilkie, G. S., Shepherd, S. J., MacLean, A. R., Murcia, P. R. and Gunson, R. N. (2017) Integrating patient and whole-genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses. Microbial Genomics, 4, (doi: 10.1099/mgen.0.000137) (PMID:29310750) (PMCID:PMC5857367)

Davies, V. , Reeve, R. , Harvey, W. T., Maree, F. F. and Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. Computational Statistics, 32(3), pp. 803-843. (doi: 10.1007/s00180-017-0730-6)

2016

Harvey, W. T., Benton, D. J., Gregory, V., Hall, J. P.J., Daniels, R. S., Bedford, T., Haydon, D. T. , Hay, A. J., McCauley, J. W. and Reeve, R. (2016) Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses. PLoS Pathogens, 12(4), e1005526. (doi: 10.1371/journal.ppat.1005526) (PMID:27057693) (PMCID:PMC4825936)

Davies, V. , Reeve, R. , Harvey, W. T. and Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability. In: Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers. Series: Lecture Notes in Computer Science (9874). Springer, pp. 14-27. ISBN 9783319443317 (doi: 10.1007/978-3-319-44332-4_2)