Evidence map›Paper›PMID 30081492›Full record

ReviewViruses2018

Mutation and Epistasis in Influenza Virus Evolution.

Daniel M Lyons, Adam S Lauring

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
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

70 citing papers in PubMed, 117 citations in OpenAlex.

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  16. Review
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10 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Daniel M LyonsDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA. lyonsdm@med.umich.edu.
Adam S LauringDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA. alauring@med.umich.edu.ORCID 0000-0003-2906-8335
University of Michigan · US

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
Fidelity, robustness, and diversity in RNA virus evolution and pathogenesisR01AI118886 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAURING, ADAM · 2016 to 2020
$2.0M
Epistasis Within and Between Genomic Segments in Influenza VirusF31AI140618 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LYONS, DANIEL · 2018 to 2019
$71k
NIAID NIH HHS F31 AI140618NIAID NIH HHS R01 AI118886NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

Influenza remains a persistent public health challenge, because the rapid evolution of influenza viruses has led to marginal vaccine efficacy, antiviral resistance, and the annual emergence of novel strains. This evolvability is driven, in part, by the virus's capacity to generate diversity through mutation and reassortment. Because many new traits require multiple mutations and mutations are frequently combined by reassortment, epistatic interactions between mutations play an important role in influenza virus evolution. While mutation and epistasis are fundamental to the adaptability of influenza viruses, they also constrain the evolutionary process in important ways. Here, we review recent work on mutational effects and epistasis in influenza viruses.

Indexed as

Epistasis, GeneticEvolution, MolecularMutationAnimalsGenetic FitnessGenome, ViralHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanOrthomyxoviridaeReassortant VirusesHemagglutinin Glycoproteins, Influenza Virusepistasisevolutioninfluenzamutationreassortment

Identifiers

PMID30081492
PMCPMC6115771
OpenAlexW2886400088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.