Evidence map›Paper›PMID 26243288›Full record

ArticleMolecular biology and evolution2015

Fitness Inference from Short-Read Data: Within-Host Evolution of a Reassortant H5N1 Influenza Virus.

Christopher J R Illingworth

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 41 citations in OpenAlex.

  1. Direct estimation of genotype fitness from time series.bioRxiv : the preprint server for biology · 2026
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  10. Inferring Epistasis from Genetic Time-series Data.Molecular biology and evolution · 2022
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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

1 author at 1 institution in 1 country.

Christopher J R IllingworthDepartment of Genetics, University of Cambridge, Cambridge, United Kingdom chris.illingworth@gen.cam.ac.uk.
University of Cambridge · GB

Funding

Wellcome Trust 101239Wellcome Trust 101239/Z/13/Z
6 · The paper itself

Abstract

We present a method to infer the role of selection acting during the within-host evolution of the influenza virus from short-read genome sequence data. Linkage disequilibrium between loci is accounted for by treating short-read sequences as noisy multilocus emissions from an underlying model of haplotype evolution. A hierarchical model-selection procedure is used to infer the underlying fitness landscape of the virus insofar as that landscape is explored by the viral population. In a first application of our method, we analyze data from an evolutionary experiment describing the growth of a reassortant H5N1 virus in ferrets. Across two sets of replica experiments we infer multiple alleles to be under selection, including variants associated with receptor binding specificity, glycosylation, and with the increased transmissibility of the virus. We identify epistasis as an important component of the within-host fitness landscape, and show that adaptation can proceed through multiple genetic pathways.

Indexed as

Genetic FitnessAdaptation, PhysiologicalAllelesAnimalsBiological EvolutionEvolution, MolecularFerretsHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H5N1 SubtypeInfluenza, HumanLinkage DisequilibriumModels, GeneticOrthomyxoviridae InfectionsReassortant VirusesSelection, GeneticHemagglutinin Glycoproteins, Influenza Virusfitness landscapeinfluenzalinkage disequilibriumselectionwithin-host evolution

Identifiers

PMID26243288
PMCPMC4651230
OpenAlexW2127935122

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.