Evidence map›Paper›PMID 33142675›Full record

ArticleViruses2020

HCV Genetic Diversity Can Be Used to Infer Infection Recency and Time since Infection.

Louisa A Carlisle, Teja Turk, Karin J Metzner, Herbert A Mbunkah, Cyril Shah, Jürg Böni, Michael Huber, Dominique L Braun, Jan Fehr, Luisa Salazar-Vizcaya and 9 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

19 authors at 7 institutions in 1 country.

Louisa A CarlisleDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.
Teja TurkDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.
Karin J MetznerDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.ORCID 0000-0003-4862-1503
Herbert A MbunkahDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.
Cyril ShahInstitute of Medical Virology, University of Zurich, CH-8057 Zurich, Switzerland.
Jürg BöniInstitute of Medical Virology, University of Zurich, CH-8057 Zurich, Switzerland.ORCID 0000-0001-7925-4852
Michael HuberInstitute of Medical Virology, University of Zurich, CH-8057 Zurich, Switzerland.ORCID 0000-0002-0384-0000
Dominique L BraunDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.
Jan FehrDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.
Luisa Salazar-VizcayaDepartment of Infectious Diseases, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland.
Andri RauchDepartment of Infectious Diseases, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland.ORCID 0000-0001-5297-6062
Sabine YerlyLaboratory of Virology, Division of Infectious Diseases, Geneva University Hospital, University of Geneva, CH-1205 Geneva, Switzerland.
Aude NguyenLaboratory of Virology, Division of Infectious Diseases, Geneva University Hospital, University of Geneva, CH-1205 Geneva, Switzerland.
Matthias CavassiniDivision of Infectious Diseases, Lausanne University Hospital, CH-1011 Lausanne, Switzerland.
Marcel StoeckleDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, CH-4031 Basel, Switzerland.
Pietro VernazzaDivision of Infectious Diseases, Cantonal Hospital St Gallen, CH-9007 St. Gallen, Switzerland.
Enos BernasconiDivision of Infectious Diseases, Regional Hospital Lugano, CH-6900 Lugano, Switzerland.
Huldrych F GünthardDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.ORCID 0000-0002-1142-6723
Roger D KouyosDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, CH-8091 Zurich, Switzerland.
University of Zurich · CHUniversity of Bern · CHUniversity of Geneva · CHKantonsspital St. Gallen · CHOspedale regionale di Lugano · CHUniversity of Basel · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV-1 genetic diversity can be used to infer time since infection (TSI) and infection recency. We adapted this approach for HCV and identified genomic regions with informative diversity. We included 72 HCV/HIV-1 coinfected participants of the Swiss HIV Cohort Study, for whom reliable estimates of infection date and viral sequences were available. Average pairwise diversity (APD) was calculated over each codon position for the entire open reading frame of HCV. Utilizing cross validation, we evaluated the correlation of APD with TSI, and its ability to infer TSI via a linear model. We additionally studied the ability of diversity to classify infections as recent (infected for <1 year) or chronic, using receiver-operator-characteristic area under the curve (ROC-AUC) in 50 patients whose infection could be unambiguously classified as either recent or chronic. Measuring HCV diversity over third or all codon positions gave similar performances, and notable improvement over first or second codon positions. APD calculated over the entire genome enabled classification of infection recency (ROC-AUC = 0.76). Additionally, APD correlated with TSI (R

Indexed as

Genetic VariationGenome, ViralAdultCodonCohort StudiesCoinfectionFemaleGenomicsHepacivirusHepatitis CHIV InfectionsHumansMaleMiddle AgedSequence Analysis, DNATime FactorsCodongenetic variationhepatitis C virus infectioninfection recencysequence analysisviral genomics

Identifiers

PMID33142675
PMCPMC7692400
OpenAlexW3095043311

What OpenQuestion holds

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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.