Evidence map›Paper›PMID 25609811›Full record

ArticleJournal of virology2015

Local evolutionary patterns of human respiratory syncytial virus derived from whole-genome sequencing.

Charles N Agoti, James R Otieno, Patrick K Munywoki, Alexander G Mwihuri, Patricia A Cane, D James Nokes, Paul Kellam, Matthew Cotten

Open access · hybridAbstract read
In one paragraph

Article in Journal of virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
7.0field-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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  9. Genomic characterisation of respiratory syncytial virus: a novel system for whole genome sequencing and full-length G and F gene sequences.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
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  11. The Modification of the IlluminaInternational journal of molecular sciences · 2023
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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

8 authors at 5 institutions in 2 countries.

Charles N AgotiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
James R OtienoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Patrick K MunywokiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Alexander G MwihuriKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Patricia A CanePublic Health England, Salisbury, United Kingdom.
D James NokesKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya University of Warwick, School of Life Sciences and WIDER, Warwick, United Kingdom.
Paul KellamThe Wellcome Trust Sanger Institute, Cambridge, United Kingdom Division of Infection Immunity, University College London, London, United Kingdom.
Matthew CottenThe Wellcome Trust Sanger Institute, Cambridge, United Kingdom mc13@sanger.ac.uk.
Kenya Medical Research Institute · KEPublic Health England · GBUniversity College London · GBUniversity of Warwick · GBWellcome Sanger Institute · GB

Funding

Wellcome Trust 077092Wellcome Trust 084633Wellcome Trust 092654Wellcome Trust 100542Wellcome Trust 102975
6 · The paper itself

Abstract

unlabelledHuman respiratory syncytial virus (RSV) is associated with severe childhood respiratory infections. A clear description of local RSV molecular epidemiology, evolution, and transmission requires detailed sequence data and can inform new strategies for virus control and vaccine development. We have generated 27 complete or nearly complete genomes of RSV from hospitalized children attending a rural coastal district hospital in Kilifi, Kenya, over a 10-year period using a novel full-genome deep-sequencing process. Phylogenetic analysis of the new genomes demonstrated the existence and cocirculation of multiple genotypes in both RSV A and B groups in Kilifi. Comparison of local versus global strains demonstrated that most RSV A variants observed locally in Kilifi were also seen in other parts of the world, while the Kilifi RSV B genomes encoded a high degree of variation that was not observed in other parts of the world. The nucleotide substitution rates for the individual open reading frames (ORFs) were highest in the regions encoding the attachment (G) glycoprotein and the NS2 protein. The analysis of RSV full genomes, compared to subgenomic regions, provided more precise estimates of the RSV sequence changes and revealed important patterns of RSV genomic variation and global movement. The novel sequencing method and the new RSV genomic sequences reported here expand our knowledge base for large-scale RSV epidemiological and transmission studies. IMPORTANCE: The new RSV genomic sequences and the novel sequencing method reported here provide important data for understanding RSV transmission and vaccine development. Given the complex interplay between RSV A and RSV B infections, the existence of local RSV B evolution is an important factor in vaccine deployment.

Indexed as

Evolution, MolecularGenome, ViralChild, PreschoolCluster AnalysisGenotypeHigh-Throughput Nucleotide SequencingHospitals, RuralHumansInfantInfant, NewbornKenyaMolecular Sequence DataPhylogeographyRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsSequence Analysis, DNA

Identifiers

PMID25609811
PMCPMC4403408
OpenAlexW2061604480

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.