Evidence map›Paper›PMID 25009045›Full record

ArticleJournal of clinical microbiology2014

Comprehensive human virus screening using high-throughput sequencing with a user-friendly representation of bioinformatics analysis: a pilot study.

Tom J Petty, Samuel Cordey, Ismael Padioleau, Mylène Docquier, Lara Turin, Olivier Preynat-Seauve, Evgeny M Zdobnov, Laurent Kaiser

Abstract readValidation Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Blood virosphere in febrile Tanzanian children.Emerging microbes & infections · 2021
    Article
  5. Article
  6. Evaluation of targeted next-generation sequencing for detection of equine pathogens in clinical samples.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Application of metagenomic next-generation sequencing for bronchoalveolar lavage diagnostics in critically ill patients.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Viral Metagenomics of Blood Donors and Blood-Derived Products Using Next-Generation Sequencing.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2019
    Review
  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

8 authors.

Tom J PettyDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland Swiss Institute of Bioinformatics, Geneva, Switzerland Thomas.Petty@unige.ch.
Samuel CordeyDivision of Infectious Diseases, Laboratory of Virology and Division of Laboratory Medicine, University Hospitals of Geneva, Geneva, Switzerland Department of Medicine, University of Geneva Medical School, Geneva, Switzerland.
Ismael PadioleauDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland Swiss Institute of Bioinformatics, Geneva, Switzerland.
Mylène DocquierUniversity of Geneva Medical School and Genomics Platform, Geneva, Switzerland.
Lara TurinDepartment of Medicine, University of Geneva Medical School, Geneva, Switzerland.
Olivier Preynat-SeauveLaboratory of Immunohematology, Hematology Unit, Department of Genetic and Laboratory Medicine, University Hospitals of Geneva, University of Geneva, Geneva, Switzerland.
Evgeny M ZdobnovDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland Swiss Institute of Bioinformatics, Geneva, Switzerland Imperial College London, South Kensington Campus, London, United Kingdom.
Laurent KaiserDivision of Infectious Diseases, Laboratory of Virology and Division of Laboratory Medicine, University Hospitals of Geneva, Geneva, Switzerland Department of Medicine, University of Geneva Medical School, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing (HTS) provides the means to analyze clinical specimens in unprecedented molecular detail. While this technology has been successfully applied to virus discovery and other related areas of research, HTS methodology has yet to be exploited for use in a clinical setting for routine diagnostics. Here, a bioinformatics pipeline (ezVIR) was designed to process HTS data from any of the standard platforms and to evaluate the entire spectrum of known human viruses at once, providing results that are easy to interpret and customizable. The pipeline works by identifying the most likely viruses present in the specimen given the sequencing data. Additionally, ezVIR can generate optional reports for strain typing, can create genome coverage histograms, and can perform cross-contamination analysis for specimens prepared in series. In this pilot study, the pipeline was challenged using HTS data from 20 clinical specimens representative of those most often collected and analyzed in daily practice. The specimens (5 cerebrospinal fluid, 7 bronchoalveolar lavage fluid, 5 plasma, 2 serum, and 1 nasopharyngeal aspirate) were originally found to be positive for a diverse range of DNA or RNA viruses by routine molecular diagnostics. The ezVIR pipeline correctly identified 14 of 14 specimens containing viruses with genomes of <40,000 bp, and 4 of 6 specimens positive for large-genome viruses. Although further validation is needed to evaluate sensitivity and to define detection cutoffs, results obtained in this pilot study indicate that the overall detection success rate, coupled with the ease of interpreting the analysis reports, makes it worth considering using HTS for clinical diagnostics.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolComputational BiologyFemaleHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysHumansInfantMaleMiddle AgedMolecular Diagnostic TechniquesPilot Projects

Identifiers

PMID25009045
PMCPMC4313162

What OpenQuestion holds

Textmetadata
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.