Evidence map›Paper›PMID 27196673›Full record

ArticlePloS one2016

Geno2pheno[HCV] - A Web-based Interpretation System to Support Hepatitis C Treatment Decisions in the Era of Direct-Acting Antiviral Agents.

Prabhav Kalaghatgi, Anna Maria Sikorski, Elena Knops, Daniel Rupp, Saleta Sierra, Eva Heger, Maria Neumann-Fraune, Bastian Beggel, Andreas Walker, Jörg Timm and 5 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Article
  3. Prevalence and Spectrum of Chronic Liver Disease Among Patients Seeking Health Care in Ghana.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  4. Article
  5. Genotyping and treatment issues with 'unusual' HCV 1 subtypes.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Hepatitis A, B and C prevalence among transgender women and travestis in five Brazilian capitals between 2019-2021.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

15 authors.

Prabhav KalaghatgiGerman Center for Infection Research (DZIF)-Saarbrücken Partner Site, Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, 66123, Saarbrücken, Germany.
Anna Maria SikorskiGerman Center for Infection Research (DZIF)-Cologne-Bonn Partner Site, Institute of Virology, University of Cologne, 50935, Cologne, Germany.
Elena KnopsGerman Center for Infection Research (DZIF)-Cologne-Bonn Partner Site, Institute of Virology, University of Cologne, 50935, Cologne, Germany.
Daniel RuppGerman Center for Infection Research (DZIF)-Heidelberg Partner Site, Department of Infectious Diseases, Molecular Virology, Heidelberg University, 69120, Heidelberg, Germany.
Saleta SierraGerman Center for Infection Research (DZIF)-Cologne-Bonn Partner Site, Institute of Virology, University of Cologne, 50935, Cologne, Germany.
Eva HegerGerman Center for Infection Research (DZIF)-Cologne-Bonn Partner Site, Institute of Virology, University of Cologne, 50935, Cologne, Germany.
Maria Neumann-FrauneGerman Center for Infection Research (DZIF)-Cologne-Bonn Partner Site, Institute of Virology, University of Cologne, 50935, Cologne, Germany.
Bastian BeggelGerman Center for Infection Research (DZIF)-Saarbrücken Partner Site, Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, 66123, Saarbrücken, Germany.
Andreas WalkerInstitute for Virology, University Hospital Düsseldorf, Heinrich Heine University, 40225, Düsseldorf, Germany.
Jörg TimmInstitute for Virology, University Hospital Düsseldorf, Heinrich Heine University, 40225, Düsseldorf, Germany.
Hauke WalterMVZ Medizinisches Infektiologiezentrum Berlin (MIB), 13353, Berlin, Germany.
Martin ObermeierMVZ Medizinisches Infektiologiezentrum Berlin (MIB), 13353, Berlin, Germany.
Rolf KaiserGerman Center for Infection Research (DZIF)-Cologne-Bonn Partner Site, Institute of Virology, University of Cologne, 50935, Cologne, Germany.
Ralf BartenschlagerGerman Center for Infection Research (DZIF)-Heidelberg Partner Site, Department of Infectious Diseases, Molecular Virology, Heidelberg University, 69120, Heidelberg, Germany.
Thomas LengauerGerman Center for Infection Research (DZIF)-Saarbrücken Partner Site, Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, 66123, Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The face of hepatitis C virus (HCV) therapy is changing dramatically. Direct-acting antiviral agents (DAAs) specifically targeting HCV proteins have been developed and entered clinical practice in 2011. However, despite high sustained viral response (SVR) rates of more than 90%, a fraction of patients do not eliminate the virus and in these cases treatment failure has been associated with the selection of drug resistance mutations (RAMs). RAMs may be prevalent prior to the start of treatment, or can be selected under therapy, and furthermore they can persist after cessation of treatment. Additionally, certain DAAs have been approved only for distinct HCV genotypes and may even have subtype specificity. Thus, sequence analysis before start of therapy is instrumental for managing DAA-based treatment strategies. We have created the interpretation system geno2pheno[HCV] (g2p[HCV]) to analyse HCV sequence data with respect to viral subtype and to predict drug resistance. Extensive reviewing and weighting of literature related to HCV drug resistance was performed to create a comprehensive list of drug resistance rules for inhibitors of the HCV protease in non-structural protein 3 (NS3-protease: Boceprevir, Paritaprevir, Simeprevir, Asunaprevir, Grazoprevir and Telaprevir), the NS5A replicase factor (Daclatasvir, Ledipasvir, Elbasvir and Ombitasvir), and the NS5B RNA-dependent RNA polymerase (Dasabuvir and Sofosbuvir). Upon submission of up to eight sequences, g2p[HCV] aligns the input sequences, identifies the genomic region(s), predicts the HCV geno- and subtypes, and generates for each DAA a drug resistance prediction report. g2p[HCV] offers easy-to-use and fast subtype and resistance analysis of HCV sequences, is continuously updated and freely accessible under http://hcv.geno2pheno.org/index.php. The system was partially validated with respect to the NS3-protease inhibitors Boceprevir, Telaprevir and Simeprevir by using data generated with recombinant, phenotypic cell culture assays obtained from patients' virus variants.

Indexed as

Drug Resistance, ViralSoftwareAlgorithmsAntiviral AgentsCell LineGenetic Association StudiesGenome, ViralGenotypeHepacivirusHepatitis C, ChronicHumansInhibitory Concentration 50InternetMutationOligopeptidesPhenotypeAntiviral AgentsN-(3-amino-1-(cyclobutylmethyl)-2,3-dioxopropyl)-3-(2-((((1,1-dimethylethyl)amino)carbonyl)amino)-3,3-dimethyl-1-oxobutyl)-6,6-dimethyl-3-azabicyclo(3.1.0)hexan-2-carboxamideOligopeptidesProlineSimeprevirtelaprevir

Identifiers

PMID27196673
PMCPMC4873220

What OpenQuestion holds

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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.