Evidence map›Paper›PMID 29906258›Full record

ArticleMicrobial genomics2018

GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015.

Ruth E Timme, Hugh Rand, Maria Sanchez Leon, Maria Hoffmann, Errol Strain, Marc Allard, Dwayne Roberson, Joseph D Baugher

Abstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Microorganisms · 2026
    Review
  3. Establishing aMicrobiology spectrum · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A case report ofAccess microbiology · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Toward an Integrated Genome-Based Surveillance ofFrontiers in microbiology · 2021
    Article
  18. Article
  19. Data structures based onGenome research · 2021
    Review
  20. Clinical Pathogen Genomics.Clinics in laboratory medicine · 2020
    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

8 authors.

Ruth E TimmeCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.
Hugh RandCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.
Maria Sanchez LeonCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.
Maria HoffmannCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.
Errol StrainCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.
Marc AllardCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.
Dwayne RobersonCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.
Joseph D BaugherCenter for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen monitoring is becoming more precise as sequencing technologies become more affordable and accessible worldwide. This transition is especially apparent in the field of food safety, which has demonstrated how whole-genome sequencing (WGS) can be used on a global scale to protect public health. GenomeTrakr coordinates the WGS performed by public-health agencies and other partners by providing a public database with real-time cluster analysis for foodborne pathogen surveillance. Because WGS is being used to support enforcement decisions, it is essential to have confidence in the quality of the data being used and the downstream data analyses that guide these decisions. Routine proficiency tests, such as the one described here, have an important role in ensuring the validity of both data and procedures. In 2015, the GenomeTrakr proficiency test distributed eight isolates of common foodborne pathogens to participating laboratories, who were required to follow a specific protocol for performing WGS. Resulting sequence data were evaluated for several metrics, including proper labelling, sequence quality and new single nucleotide polymorphisms (SNPs). Illumina MiSeq sequence data collected for the same set of strains across 21 different laboratories exhibited high reproducibility, while revealing a narrow range of technical and biological variance. The numbers of SNPs reported for sequencing runs of the same isolates across multiple laboratories support the robustness of our cluster analysis pipeline in that each individual isolate cultured and resequenced multiple times in multiple places are all easily identifiable as originating from the same source.

Indexed as

Epidemiological MonitoringLaboratory Proficiency TestingCluster AnalysisEnterobacteriaceaeFoodborne DiseasesFood SafetyGenome, BacterialHumansMolecular EpidemiologyPolymorphism, Single NucleotidePublic HealthReproducibility of ResultsWhole Genome Sequencingfoodborne pathogenGenomeTrakrmolecular epidemiologyoutbreak detectionproficiency testwhole-genome sequencing

Identifiers

PMID29906258
PMCPMC6113870

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.