Evidence map›Paper›PMID 24998424›Full record

ReviewJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2014

Deep sequencing: becoming a critical tool in clinical virology.

Miguel E Quiñones-Mateu, Santiago Avila, Gustavo Reyes-Teran, Miguel A Martinez

Abstract readReview
In one paragraph

Review in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
–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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A Bibliometric Analysis of the HCV Drug-Resistant Majority and Minority Variants.International journal of environmental research and public health · 2025
    Article
  5. Article
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  7. Review
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  9. Review
  10. Metagenomic Sequencing for the Diagnosis ofInternational journal of molecular sciences · 2022
    Article
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  12. Article
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  15. Case report:Frontiers in immunology · 2022
    Article
  16. Article
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  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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.

Miguel E Quiñones-MateuUniversity Hospital Translational Laboratory, University Hospitals Case Medical Center, Cleveland, OH, USA; Department of Pathology, Case Western Reserve University, Cleveland, OH, USA.
Santiago AvilaInstituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico; Centro de Investigaciones en Enfermedades Infecciosas, Mexico City, Mexico.
Gustavo Reyes-TeranInstituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico; Centro de Investigaciones en Enfermedades Infecciosas, Mexico City, Mexico.
Miguel A MartinezFundació irsicaixa, Universitat Autònoma de Barcelona, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.

Funding

WG3: HIV, Co-infections and Co-morbiditiesP30AI036219 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI Alan David Levine · 1994 to 2026
$50.0M
NIAID NIH HHS P30 AI036219
6 · The paper itself

Abstract

Population (Sanger) sequencing has been the standard method in basic and clinical DNA sequencing for almost 40 years; however, next-generation (deep) sequencing methodologies are now revolutionizing the field of genomics, and clinical virology is no exception. Deep sequencing is highly efficient, producing an enormous amount of information at low cost in a relatively short period of time. High-throughput sequencing techniques have enabled significant contributions to multiples areas in virology, including virus discovery and metagenomics (viromes), molecular epidemiology, pathogenesis, and studies of how viruses to escape the host immune system and antiviral pressures. In addition, new and more affordable deep sequencing-based assays are now being implemented in clinical laboratories. Here, we review the use of the current deep sequencing platforms in virology, focusing on three of the most studied viruses: human immunodeficiency virus (HIV), hepatitis C virus (HCV), and influenza virus.

Indexed as

Genetic VariationHepatitis C, ChronicHigh-Throughput Nucleotide SequencingHIV InfectionsHumansInfluenza, HumanMolecular Diagnostic TechniquesVirologyVirusesDeep sequencingHepatitis C virus (HCV)Human immunodeficiency virus (HIV)Influenza virusNext generation sequencing (NGS)

Identifiers

PMID24998424
PMCPMC4119849

What OpenQuestion holds

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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.