Evidence map›Paper›PMID 41993280›Full record

ArticlebioRxiv : the preprint server for biology2026

Predicting the antigenic evolution of seasonal influenza viruses using phylogenetic convergence.

Samuel A Turner, David J Pattinson, Ron A M Fouchier, Derek J Smith

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Samuel A TurnerCenter for Pathogen Evolution, Department of Zoology, University of Cambridge; Cambridge, CB2 3EJ, UK.
David J PattinsonDepartment of Pathobiological Sciences, Influenza Research Institute, School of Veterinary Medicine, University of Wisconsin-Madison; Madison, WI 53711, USA.
Ron A M FouchierDepartment of Viroscience, Erasmus University Medical Center; Rotterdam 3015 CE, Netherlands.
Derek J SmithCenter for Pathogen Evolution, Department of Zoology, University of Cambridge; Cambridge, CB2 3EJ, UK.

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
Integrating measurements of immune escape and in vitro replication with computational models to understand and predict the antigenic evolution of seasonal A/H3N2 influenza virusesR01AI165818 · NIAID · UNIVERSITY OF CAMBRIDGE · PI Derek James Smith · 2022 to 2026
$2.6M
NIAID NIH HHS R01 AI165818NIH HHS 75N93021C00014
6 · The paper itself

Abstract

The antigenic evolution of human seasonal influenza viruses is primarily driven by single amino acid substitutions immediately adjacent to the receptor binding site in the hemagglutinin (HA) protein. The ability to predict these substitutions would allow vaccine strains to be selected with an understanding of likely future antigenic variation. Here, we estimate the effect of HA substitutions on viral fitness using measurements of convergent evolution in a large phylogeny. We show that the substitutions which have historically caused major antigenic changes in H3N2 influenza viruses were nearly always one of few substitutions near the HA receptor binding site estimated to be under positive selection in sequences collected before the antigenic transition, based on convergent acquisition of the substitution in multiple independent lineages. Furthermore, this signal predates the establishment of the major clade containing the antigenic substitution by more than one year, so is highly informative for prospective prediction.

Identifiers

PMID41993280
PMCPMC13081912

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.