Evidence map›Paper›PMID 26515523›Full record

ArticleThe Lancet. Infectious diseases2015

Genomic epidemiology of age-associated meningococcal lineages in national surveillance: an observational cohort study.

Dorothea M C Hill, Jay Lucidarme, Stephen J Gray, Lynne S Newbold, Roisin Ure, Carina Brehony, Odile B Harrison, James E Bray, Keith A Jolley, Holly B Bratcher and 4 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Genomic characterization of invasiveEmerging microbes & infections · 2025
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  4. Use of 4CMenB vaccine in the control of an outbreak of serogroup B invasive meningococcal disease in an elderly care home, England, November 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
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  8. Variable disruption of epithelial monolayers byMicrobiology (Reading, England) · 2023
    Article
  9. Presentations at the UK National Immunisation Conference.Human vaccines & immunotherapeutics · 2022
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  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Dorothea M C HillDepartment of Zoology, University of Oxford, Oxford, UK.
Jay LucidarmeMeningococcal Reference Unit, Public Health England, Manchester Royal Infirmary, Manchester, UK.
Stephen J GrayMeningococcal Reference Unit, Public Health England, Manchester Royal Infirmary, Manchester, UK.
Lynne S NewboldMeningococcal Reference Unit, Public Health England, Manchester Royal Infirmary, Manchester, UK.
Roisin UreScottish Haemophilus, Legionella, Meningococcus and Pneumococcus Reference Laboratory, Glasgow Royal Infirmary, Glasgow, UK.
Carina BrehonyDepartment of Zoology, University of Oxford, Oxford, UK.
Odile B HarrisonDepartment of Zoology, University of Oxford, Oxford, UK.
James E BrayDepartment of Zoology, University of Oxford, Oxford, UK.
Keith A JolleyDepartment of Zoology, University of Oxford, Oxford, UK.
Holly B BratcherDepartment of Zoology, University of Oxford, Oxford, UK.
Julian ParkhillWellcome Trust Sanger Institute, Cambridge, UK.
Christoph M TangSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Ray BorrowMeningococcal Reference Unit, Public Health England, Manchester Royal Infirmary, Manchester, UK.
Martin C J MaidenDepartment of Zoology, University of Oxford, Oxford, UK. Electronic address: martin.maiden@zoo.ox.ac.uk.
University of Oxford · GBPublic Health England · GBGlasgow Royal Infirmary · GBManchester Royal Infirmary · GBWellcome Sanger Institute · GB

Funding

Wellcome Trust 087622Wellcome Trust 102908Wellcome Trust 104992
6 · The paper itself

Abstract

backgroundInvasive meningococcal disease (IMD) is a worldwide health issue that is potentially preventable with vaccination. In view of its sporadic nature and the high diversity of Neisseria meningitidis, epidemiological surveillance incorporating detailed isolate characterisation is crucial for effective control and understanding the evolving epidemiology of IMD. The Meningitis Research Foundation Meningococcus Genome Library (MRF-MGL) exploits whole-genome sequencing (WGS) for this purpose and presents data on a comprehensive and coherent IMD isolate collection from England and Wales via the internet. We assessed the contribution of these data to investigating IMD epidemiology.

methodsWGS data were obtained for all 899 IMD isolates available for England and Wales in epidemiological years 2010-11 and 2011-12. The data had been annotated at 1720 loci, analysed, and disseminated online. Information was also available on meningococcal population structure and vaccine (Bexsero, GlaxoSmithKline, Brentford, Middlesex, UK) antigen variants, which enabled the investigation of IMD-associated genotypes over time and by patients' age groups. Population genomic analyses were done with a hierarchical gene-by-gene approach.

findingsThe methods used by MRF-MGL efficiently characterised IMD isolates and information was provided in plain language. At least 20 meningococcal lineages were identified, three of which (hyperinvasive clonal complexes 41/44 [lineage 3], 269 [lineage 2], and 23 [lineage 23]) were responsible for 528 (59%) of IMD isolates. Lineages were highly diverse and showed evidence of extensive recombination. Specific lineages were associated with IMD in particular age groups, with notable diversity in the youngest and oldest individuals. The increased incidence of IMD from 1984 to 2010 in England and Wales was due to successive and concurrent epidemics of different lineages. Genetically, 74% of isolates were characterised as encoding group B capsules: 16% group Y, 6% group W, and 3% group C. Exact peptide matches for individual Bexsero vaccine antigens were present in up to 26% of isolates.

interpretationThe MRF-MGL represents an effective, broadly applicable model for the storage, analysis, and dissemination of WGS data that can facilitate real-time genomic pathogen surveillance. The data revealed information crucial to effective deployment and assessment of vaccines against N meningitidis.

fundingMeningitis Research Foundation, Wellcome Trust, Public Health England, European Union.

Indexed as

Genome, BacterialAdolescentAdultAgedAge FactorsChildChild, PreschoolEnglandEpidemiological MonitoringFemaleGenomic LibraryGenotypeHumansIncidenceInfantMaleMeningococcal Vaccines

Identifiers

PMID26515523
PMCPMC4655307
OpenAlexW2177158630

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.