Evidence map›Paper›PMID 32458794›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2020

Multilevel genome typing: genomics-guided scalable resolution typing of microbial pathogens.

Michael Payne, Sandeep Kaur, Qinning Wang, Daneeta Hennessy, Lijuan Luo, Sophie Octavia, Mark M Tanaka, Vitali Sintchenko, Ruiting Lan

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. CharacterizingmSystems · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. SaLTy: a novelMicrobial genomics · 2024
    Article
  6. Article
  7. Genomic diversity ofFrontiers in microbiology · 2024
    Article
  8. Article
  9. Genomic epidemiology and multilevel genome typing ofEmerging microbes & infections · 2023
    Article
  10. Pathogens (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Genomic Epidemiology of ClinicalMicroorganisms · 2022
    Article
  15. Article
  16. Article
  17. 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

9 authors at 2 institutions in 1 country.

Michael PayneSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
Sandeep KaurSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
Qinning WangCentre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, Westmead, Australia.
Daneeta HennessyCentre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, Westmead, Australia.
Lijuan LuoSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
Sophie OctaviaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
Mark M TanakaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
Vitali SintchenkoCentre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, Westmead, Australia.
Ruiting LanSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
UNSW Sydney · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundBoth long- and short-term epidemiology are fundamental to disease control and require accurate bacterial typing. Genomic data resulting from implementation of whole genome sequencing in many public health laboratories can potentially provide highly sensitive and accurate descriptions of strain relatedness. Previous typing efforts using these data have mainly focussed on outbreak detection.AimWe aimed to develop multilevel genome typing (MGT), using consecutive multilocus sequence typing (MLST) schemes of increasing sizes, stepping up from seven-gene MLST to core genome MLST, to allow examination of genetic relatedness at multiple resolution levels.MethodsThe system was applied to

Indexed as

Bacterial Typing TechniquesDisease OutbreaksHumansMultilocus Sequence TypingSalmonella InfectionsSalmonella typhimuriumSerogroupWhole Genome Sequencingepidemiologygenomicsmicrobiologymolecular subtypingnomenclatureoutbreak detectionsalmonella

Identifiers

PMID32458794
PMCPMC7262494
OpenAlexW3027269083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.