Evidence map›Paper›PMID 33808782›Full record

ArticleViruses2021

Comparative Analysis of Within-Host Mutation Patterns and Diversity of Hepatitis C Virus Subtypes 1a, 1b, and 3a.

Kaho H Tisthammer, Weiyan Dong, Jeffrey B Joy, Pleuni S Pennings

Abstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Kaho H TisthammerDepartment of Biology, San Francisco State University, San Francisco, CA 94132, USA.ORCID 0000-0002-4530-4572
Weiyan DongBC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada.
Jeffrey B JoyBC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada.ORCID 0000-0002-7013-1482
Pleuni S PenningsDepartment of Biology, San Francisco State University, San Francisco, CA 94132, USA.

Funding

Influence of SIV replication on TB progression and immunityR01AI134195 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AMBROSE, ZANDREA, LIN, PHILANA LING · 2017 to 2021
$4.8M
NIAID NIH HHS R01 AI134195
6 · The paper itself

Abstract

Understanding within-host evolution is critical for predicting viral evolutionary outcomes, yet such studies are currently lacking due to difficulty involving human subjects. Hepatitis C virus (HCV) is an RNA virus with high mutation rates. Its complex evolutionary dynamics and extensive genetic diversity are demonstrated in over 67 known subtypes. In this study, we analyzed within-host mutation frequency patterns of three HCV subtypes, using a large number of samples obtained from treatment-naïve participants by next-generation sequencing. We report that overall mutation frequency patterns are similar among subtypes, yet subtype 3a consistently had lower mutation frequencies and nucleotide diversity, while subtype 1a had the highest. We found that about 50% of genomic sites are highly conserved across subtypes, which are likely under strong purifying selection. We also compared within-host and between-host selective pressures, which revealed that Hyper Variable Region 1 within hosts was under positive selection, but was under slightly negative selection between hosts, which indicates that many mutations created within hosts are removed during the transmission bottleneck. Examining the natural prevalence of known resistance-associated variants showed their consistent existence in the treatment-naïve participants. These results provide insights into the differences and similarities among HCV subtypes that may be used to develop and improve HCV therapies.

Indexed as

Genome, ViralHepatitis CEvolution, MolecularHepacivirusHumansMutationPrevalencehepatitis C virusmutation frequencynucleotide diversitywithin-host evolution

Identifiers

PMID33808782
PMCPMC8003410

What OpenQuestion holds

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LicenceCC BY
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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.