Evidence map›Paper›PMID 31466373›Full record

ArticleGenes2019

Viral Metagenomics in the Clinical Realm: Lessons Learned from a Swiss-Wide Ring Trial.

Thomas Junier, Michael Huber, Stefan Schmutz, Verena Kufner, Osvaldo Zagordi, Stefan Neuenschwander, Alban Ramette, Jakub Kubacki, Claudia Bachofen, Weihong Qi and 7 more

Abstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Blood virosphere in febrile Tanzanian children.Emerging microbes & infections · 2021
    Article
  16. Benchmark of thirteen bioinformatic pipelines for metagenomic virus diagnostics using datasets from clinical samples.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2021
    Article
  17. Article
  18. Implementation of next-generation sequencing for virus identification in veterinary diagnostic laboratories.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    Article
  19. Article
  20. Review
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

17 authors.

Thomas JunierGlobal Health Institute, Swiss Federal Institute of Technology (ETH Lausanne) & SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. thomas.junier@sib.swiss.
Michael HuberInstitute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland. huber.michael@virology.uzh.ch.
Stefan SchmutzInstitute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
Verena KufnerInstitute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
Osvaldo ZagordiInstitute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
Stefan NeuenschwanderInstitute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland.
Alban RametteInstitute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland.
Jakub KubackiInstitute of Virology, VetSuisse Faculty, University of Zurich, 8057 Zurich, Switzerland.
Claudia BachofenInstitute of Virology, VetSuisse Faculty, University of Zurich, 8057 Zurich, Switzerland.
Weihong QiFunctional Genomics Center Zurich, Swiss Federal Institute of Technology (ETH Zurich) & University of Zurich, 8057 Zurich, Switzerland.
Florian LaubscherLaboratory of Virology, University Hospitals of Geneva, 1205 Geneva, Switzerland.
Samuel CordeyLaboratory of Virology, University Hospitals of Geneva, 1205 Geneva, Switzerland.
Laurent KaiserLaboratory of Virology, University Hospitals of Geneva, 1205 Geneva, Switzerland.
Christian BeuretBiology Department, Spiez Laboratory, 3700 Spiez, Switzerland.
Valérie BarbiéClinical Bioinformatics, SIB Swiss Institute of Bioinformatics, 1202 Geneva, Switzerland.
Jacques FellayGlobal Health Institute, Swiss Federal Institute of Technology (ETH Lausanne) & SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Aitana LebrandClinical Bioinformatics, SIB Swiss Institute of Bioinformatics, 1202 Geneva, Switzerland. aitana.lebrand@sib.swiss.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shotgun metagenomics using next generation sequencing (NGS) is a promising technique to analyze both DNA and RNA microbial material from patient samples. Mostly used in a research setting, it is now increasingly being used in the clinical realm as well, notably to support diagnosis of viral infections, thereby calling for quality control and the implementation of ring trials (RT) to benchmark pipelines and ensure comparable results. The Swiss NGS clinical virology community therefore decided to conduct a RT in 2018, in order to benchmark current metagenomic workflows used at Swiss clinical virology laboratories, and thereby contribute to the definition of common best practices. The RT consisted of two parts (increments), in order to disentangle the variability arising from the experimental compared to the bioinformatics parts of the laboratory pipeline. In addition, the RT was also designed to assess the impact of databases compared to bioinformatics algorithms on the final results, by asking participants to perform the bioinformatics analysis with a common database, in addition to using their own in-house database. Five laboratories participated in the RT (seven pipelines were tested). We observed that the algorithms had a stronger impact on the overall performance than the choice of the reference database. Our results also suggest that differences in sample preparation can lead to significant differences in the performance, and that laboratories should aim for at least 5-10 Mio reads per sample and use depth of coverage in addition to other interpretation metrics such as the percent of coverage. Performance was generally lower when increasing the number of viruses per sample. The lessons learned from this pilot study will be useful for the development of larger-scale RTs to serve as regular quality control tests for laboratories performing NGS analyses of viruses in a clinical setting.

Indexed as

Genome, ViralMetagenomeClinical Laboratory ServicesGenome, HumanHumansLaboratory Proficiency TestingMetagenomicsSequence AnalysisSwitzerlandEQAexternal quality assessmentquality controlring trialviral metagenomics

Identifiers

PMID31466373
PMCPMC6770386

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.