The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Integrating influenza antigenic dynamics with molecular evolution
Open accessAbstract
Influenza viruses undergo continual antigenic evolution allowing mutant viruses to evade host immunity acquired to previous virus strains. Antigenic phenotype is often assessed through pairwise measurement of cross-reactivity between influenza strains using the hemagglutination inhibition (HI) assay. Here, we extend previous approaches to antigenic cartography, and simultaneously characterize antigenic and genetic evolution by modeling the diffusion of antigenic phenotype over a shared virus phylogeny. Using HI data from influenza lineages A/H3N2, A/H1N1, B/Victoria and B/Yamagata, we determine patterns of antigenic drift across viral lineages, showing that A/H3N2 evolves faster and in a more punctuated fashion than other influenza lineages. We also show that year-to-year antigenic drift appears to drive incidence patterns within each influenza lineage. This work makes possible substantial future advances in investigating the dynamics of influenza and other antigenically-variable pathogens by providing a model that intimately combines molecular and antigenic evolution.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
Bayesian Phylogenetics with BEAUti and the BEAST 1.7
Drummond, A. J., Suchard, M. A., Xie, D., & Rambaut, A. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/mss075 · Cited by 10,063
Self-citationMapping the Antigenic and Genetic Evolution of Influenza Virus
Smith, D. J., Lapedes, A. S., de Jong, J. C., Bestebroer, T. M., Rimmelzwaan, G. F., Osterhaus, A. D. M. E., & Fouchier, R. A. M. (2004) · Science · doi:10.1126/science.1097211 · Cited by 1,868
Self-citationWiley, D. C., Wilson, I. A., & Skehel, J. J. (1981) · Nature · doi:10.1038/289373a0 · Cited by 1,615
Bayesian Estimation of Ancestral Character States on Phylogenies
Pagel, M., Meade, A., & Barker, D. (2004) · Systematic Biology · doi:10.1080/10635150490522232 · Cited by 1,370
Choosing Appropriate Substitution Models for the Phylogenetic Analysis of Protein-Coding Sequences
Shapiro, B., Rambaut, A., & Drummond, A. J. (2006) · Molecular Biology and Evolution · doi:10.1093/molbev/msj021 · Cited by 751
Self-citationEcological and immunological determinants of influenza evolution.
Ferguson, N. M., Galvani, A. P., & Bush, R. M. (2003) · Nature · doi:10.1038/nature01509 · Cited by 746
The Global Circulation of Seasonal Influenza A (H3N2) Viruses
Russell, C. A., Jones, T. C., Barr, I. G., Cox, N. J., Garten, R. J., Gregory, V., Gust, I. D., Hampson, A. W., Hay, A. J., Hurt, A. C., et al. (2008) · Science · doi:10.1126/science.1154137 · Cited by 729
Self-citationPhylogeography Takes a Relaxed Random Walk in Continuous Space and Time
Lemey, P., Rambaut, A., Welch, J. J., & Suchard, M. A. (2010) · Molecular Biology and Evolution · doi:10.1093/molbev/msq067 · Cited by 685
Self-citationPermissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistance
Bloom, J. D., Gong, L. I., & Baltimore, D. (2010) · Science · doi:10.1126/science.1187816 · Cited by 649
Cited by
A human coronavirus evolves antigenically to escape antibody immunity
Eguia, R., Crawford, K. H. D., Stevens-Ayers, T., Kelnhofer-Millevolte, L., Greninger, A. L., Englund, J. A., Boeckh, M. J., & Bloom, J. D. (2020) · doi:10.1101/2020.12.17.423313 · Cited by 258
A human coronavirus evolves antigenically to escape antibody immunity
(2021) · doi:10.1371/journal.ppat.1009453 · Cited by 258
Kistler, K. E., & Bedford, T. (2021) · eLife · doi:10.7554/elife.64509 · Cited by 94
Self-citationCobey, S., Wilson, P., & Matsen, F. A. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0235 · Cited by 40
de Vries, R. D., Nieuwkoop, N. J., van der Klis, F. R. M., Koopmans, M. P. G., Krammer, F., & Rimmelzwaan, G. F. (2018) · The Journal of Infectious Diseases · doi:10.1093/infdis/jix546 · Cited by 39
Metadata
- Authors
- Bedford, T., Suchard, M. A., Lemey, P., Dudas, G., Gregory, V., Hay, A. J., McCauley, J. W., Russell, C. A., Smith, D. J., & Rambaut, A.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2014-02-04
- Volume
- 3
- Pages
- e01914-e01914
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2158189516
- Cited by
- 406
- References
- 56
- FWCI
- 22.02
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Integrating influenza antigenic dynamics with molecular evolution. https://app.cochat.ai/papers/10.7554/elife.01914
- The paper
- Bedford, T., Suchard, M. A., Lemey, P., Dudas, G., Gregory, V., Hay, A. J., McCauley, J. W., Russell, C. A., Smith, D. J., & Rambaut, A. (2014). Integrating influenza antigenic dynamics with molecular evolution. eLife. https://doi.org/10.7554/elife.01914
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.