Evidence map›Paper›PMID 27280420›Full record

ArticleJournal of clinical microbiology2016

Evaluation of an Optimal Epidemiological Typing Scheme for Legionella pneumophila with Whole-Genome Sequence Data Using Validation Guidelines.

Sophia David, Massimo Mentasti, Rediat Tewolde, Martin Aslett, Simon R Harris, Baharak Afshar, Anthony Underwood, Norman K Fry, Julian Parkhill, Timothy G Harrison

Open access · hybridAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 67 citations in OpenAlex.

  1. 'Epidemiology ofMicrobial genomics · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Comparison of whole genome sequencing typing tools for the typing of Belgian Legionella pneumophila outbreaks isolates.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  8. Evaluating Fourier-transform infrared spectroscopy with IR Biotyper as a faster and simpler method for investigating the sources of an outbreak of legionellosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  9. An outbreak of Legionnaires' disease linked to a municipal and industrial wastewater treatment plant, The Netherlands, September-October 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  10. Article
  11. Article
  12. Comparative Genomics ofMicroorganisms · 2023
    Article
  13. Article
  14. Genome analysis ofLife science alliance · 2022
    Article
  15. Article
  16. Microorganisms · 2022
    Article
  17. Article
  18. Non-IDCases · 2022
    Article
  19. Occurrence ofPathogens (Basel, Switzerland) · 2021
    Article
  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

10 authors at 2 institutions in 2 countries.

Sophia DavidWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom Public Health England, London, United Kingdom sd12@sanger.ac.uk parkhill@sanger.ac.uk.
Massimo MentastiPublic Health England, London, United Kingdom.
Rediat TewoldePublic Health England, London, United Kingdom.
Martin AslettWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Simon R HarrisWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Baharak AfsharPublic Health England, London, United Kingdom The European Programme for Public Health Microbiology Training, European Centre for Disease Prevention and Control, Stockholm, Sweden.
Anthony UnderwoodPublic Health England, London, United Kingdom.
Norman K FryPublic Health England, London, United Kingdom.ORCID 0000-0003-4862-6507
Julian ParkhillWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom sd12@sanger.ac.uk parkhill@sanger.ac.uk.ORCID 0000-0002-7069-5958
Timothy G HarrisonPublic Health England, London, United Kingdom.
Public Health England · GBWellcome Sanger Institute · GB

Funding

Wellcome Trust 098051
6 · The paper itself

Abstract

Sequence-based typing (SBT), analogous to multilocus sequence typing (MLST), is the current "gold standard" typing method for investigation of legionellosis outbreaks caused by Legionella pneumophila However, as common sequence types (STs) cause many infections, some investigations remain unresolved. In this study, various whole-genome sequencing (WGS)-based methods were evaluated according to published guidelines, including (i) a single nucleotide polymorphism (SNP)-based method, (ii) extended MLST using different numbers of genes, (iii) determination of gene presence or absence, and (iv) a kmer-based method. L. pneumophila serogroup 1 isolates (n = 106) from the standard "typing panel," previously used by the European Society for Clinical Microbiology Study Group on Legionella Infections (ESGLI), were tested together with another 229 isolates. Over 98% of isolates were considered typeable using the SNP- and kmer-based methods. Percentages of isolates with complete extended MLST profiles ranged from 99.1% (50 genes) to 86.8% (1,455 genes), while only 41.5% produced a full profile with the gene presence/absence scheme. Replicates demonstrated that all methods offer 100% reproducibility. Indices of discrimination range from 0.972 (ribosomal MLST) to 0.999 (SNP based), and all values were higher than that achieved with SBT (0.940). Epidemiological concordance is generally inversely related to discriminatory power. We propose that an extended MLST scheme with ∼50 genes provides optimal epidemiological concordance while substantially improving the discrimination offered by SBT and can be used as part of a hierarchical typing scheme that should maintain backwards compatibility and increase discrimination where necessary. This analysis will be useful for the ESGLI to design a scheme that has the potential to become the new gold standard typing method for L. pneumophila.

Indexed as

Genome, BacterialSequence Analysis, DNAHumansLegionella pneumophilaMolecular EpidemiologyMolecular TypingReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID27280420
PMCPMC4963484
OpenAlexW2411836628

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.