Evidence map›Paper›PMID 17169155›Full record

ArticleVirology journal2006

Comparative analysis of hepatitis C virus phylogenies from coding and non-coding regions: the 5' untranslated region (UTR) fails to classify subtypes.

Peter T Hraber, William Fischer, William J Bruno, Thomas Leitner, Carla Kuiken

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Virology journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  6. Limits and patterns of cytomegalovirus genomic diversity in humans.Proceedings of the National Academy of Sciences of the United States of America · 2015
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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

5 authors.

Peter T HraberTheoretical Biology and Biophysics, T-10 MS K710, Los Alamos National Laboratory, Los Alamos NM 87545, USA. phraber@lanl.gov
William Fischer
William J Bruno
Thomas Leitner
Carla Kuiken

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe duration of treatment for HCV infection is partly indicated by the genotype of the virus. For studies of disease transmission, vaccine design, and surveillance for novel variants, subtype-level classification is also needed. This study used the Shimodaira-Hasegawa test and related statistical techniques to compare phylogenetic trees obtained from coding and non-coding regions of a whole-genome alignment for the reliability of subtyping in different regions.

resultsDifferent regions of the HCV genome yield inconsistent phylogenies, which can lead to erroneous conclusions about classification of a given infection. In particular, the highly conserved 5' untranslated region (UTR) yields phylogenetic trees with topologies that differ from the HCV polyprotein and complete genome phylogenies. Phylogenetic trees from the NS5B gene reliably cluster related subtypes, and yield topologies consistent with those of the whole genome and polyprotein.

conclusionThese results extend those from previous studies and indicate that, unlike the NS5B gene, the 5' UTR contains insufficient variation to resolve HCV classifications to the level of viral subtype, and fails to distinguish genotypes reliably. Use of the 5' UTR for clinical tests to characterize HCV infection should be replaced by a subtype-informative test.

Indexed as

Genome, ViralPhylogeny5' Untranslated RegionsDNA, ViralHepacivirusHumansPolyproteinsRNA-Dependent RNA PolymeraseViral Nonstructural ProteinsViral ProteinsVirology5' Untranslated RegionsDNA, ViralNS-5 protein, hepatitis C virusPolyproteinsRNA-Dependent RNA PolymeraseViral Nonstructural ProteinsViral Proteins

Identifiers

PMID17169155
PMCPMC1764733

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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.