University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Medicine, Dentistry & Health Sciences
  • Melbourne Medical School
  • Microbiology & Immunology
  • Microbiology & Immunology - Research Publications
  • View Item
  • Minerva Access
  • Medicine, Dentistry & Health Sciences
  • Melbourne Medical School
  • Microbiology & Immunology
  • Microbiology & Immunology - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution

    Thumbnail
    Citations
    Scopus
    Web of Science
    Altmetric
    1
    1
    Author
    Huddleston, J; Barnes, JR; Rowe, T; Xu, X; Kondor, R; Wentworth, DE; Whittaker, L; Ermetal, B; Daniels, RS; McCauley, JW; ...
    Date
    2020-09-02
    Source Title
    eLife
    Publisher
    ELIFE SCIENCES PUBLICATIONS LTD
    University of Melbourne Author/s
    Barr, Ian; Subbarao, Kanta
    Affiliation
    Microbiology and Immunology
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Huddleston, J., Barnes, J. R., Rowe, T., Xu, X., Kondor, R., Wentworth, D. E., Whittaker, L., Ermetal, B., Daniels, R. S., McCauley, J. W., Fujisaki, S., Nakamura, K., Kishida, N., Watanabe, S., Hasegawa, H., Barr, I., Subbarao, K., Barrat-Charlaix, P., Neher, R. A. & Bedford, T. (2020). Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution. ELIFE, 9, https://doi.org/10.7554/eLife.60067.
    Access Status
    Access this item via the Open Access location
    URI
    http://hdl.handle.net/11343/254466
    DOI
    10.7554/eLife.60067
    Open Access URL
    https://europepmc.org/articles/PMC7553778?pdf=render
    Abstract
    Seasonal influenza virus A/H3N2 is a major cause of death globally. Vaccination remains the most effective preventative. Rapid mutation of hemagglutinin allows viruses to escape adaptive immunity. This antigenic drift necessitates regular vaccine updates. Effective vaccine strains need to represent H3N2 populations circulating one year after strain selection. Experts select strains based on experimental measurements of antigenic drift and predictions made by models from hemagglutinin sequences. We developed a novel influenza forecasting framework that integrates phenotypic measures of antigenic drift and functional constraint with previously published sequence-only fitness estimates. Forecasts informed by phenotypic measures of antigenic drift consistently outperformed previous sequence-only estimates, while sequence-only estimates of functional constraint surpassed more comprehensive experimentally-informed estimates. Importantly, the best models integrated estimates of both functional constraint and either antigenic drift phenotypes or recent population growth.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [53039]
    • Microbiology & Immunology - Research Publications [2207]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors