The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact
Open accessAbstract
Background Pneumococcal conjugate vaccines have reduced the incidence of invasive pneumococcal disease, caused by vaccine serotypes, but non-vaccine-serotypes remain a concern. We used whole genome sequencing to study pneumococcal serotype, antibiotic resistance and invasiveness, in the context of genetic background. Methods Our dataset of 13,454 genomes, combined with four published genomic datasets, represented Africa (40%), Asia (25%), Europe (19%), North America (12%), and South America (5%). These 20,027 pneumococcal genomes were clustered into lineages using PopPUNK, and named Global Pneumococcal Sequence Clusters (GPSCs). From our dataset, we additionally derived serotype and sequence type, and predicted antibiotic sensitivity. We then measured invasiveness using odds ratios that relating prevalence in invasive pneumococcal disease to carriage. Findings The combined collections ( n = 20,027) were clustered into 621 GPSCs. Thirty-five GPSCs observed in our dataset were represented by >100 isolates, and subsequently classed as dominant-GPSCs. In 22/35 (63%) of dominant-GPSCs both non-vaccine serotypes and vaccine serotypes were observed in the years up until, and including, the first year of pneumococcal conjugate vaccine introduction. Penicillin and multidrug resistance were higher ( p < .05) in a subset dominant-GPSCs (14/35, 9/35 respectively), and resistance to an increasing number of antibiotic classes was associated with increased recombination (R 2 = 0.27 p < .0001). In 28/35 dominant-GPSCs, the country of isolation was a significant predictor ( p < .05) of its antibiogram (mean misclassification error 0.28, SD ± 0.13). We detected increased invasiveness of six genetic backgrounds, when compared to other genetic backgrounds expressing the same serotype. Up to 1.6-fold changes in invasiveness odds ratio were observed. Interpretation We define GPSCs that can be assigned to any pneumococcal genomic dataset, to aid international comparisons. Existing non-vaccine-serotypes in most GPSCs preclude the removal of these lineages by pneumococcal conjugate vaccines; leaving potential for serotype replacement. A subset of GPSCs have increased resistance, and/or serotype-independent invasiveness.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O'Hara, R. B., Solymos, P., Stevens, M. H. H., Szoecs, E., et al. (2001) · CRAN: Contributed Packages · doi:10.32614/cran.package.vegan · Cited by 22,615
Roary: rapid large-scale prokaryote pan genome analysis
Page, A. J., Cummins, C. A., Hunt, M., Wong, V. K., Reuter, S., Holden, M. T. G., Fookes, M., Falush, D., Keane, J. A., & Parkhill, J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv421 · Cited by 5,736
Self-citationCroucher, N. J., Page, A. J., Connor, T. R., Delaney, A. J., Keane, J. A., Bentley, S. D., Parkhill, J., & Harris, S. R. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1196 · Cited by 2,741
Self-citationRapid Pneumococcal Evolution in Response to Clinical Interventions
Croucher, N. J., Harris, S. R., Fraser, C., Quail, M. A., Burton, J., van der Linden, M., McGee, L., von Gottberg, A., Song, J. H., Ko, K. S., et al. (2011) · Science · doi:10.1126/science.1198545 · Cited by 886
Self-citationHicks, L. A., Harrison, L. H., Flannery, B., Hadler, J. L., Schaffner, W., Craig, A. S., Jackson, D., Thomas, A., Beall, B., Lynfield, R., et al. (2007) · The Journal of Infectious Diseases · doi:10.1086/521626 · Cited by 737
Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software
Cheng, L., Connor, T. R., Siren, J., Aanensen, D. M., & Corander, J. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst028 · Cited by 645
Self-citationBrueggemann, A. B., Griffiths, D. T., Meats, E., Peto, T., Crook, D. W., & Spratt, B. G. (2003) · The Journal of Infectious Diseases · doi:10.1086/374624 · Cited by 619
Ladhani, S. N., Collins, S., Djennad, A., Sheppard, C. L., Borrow, R., Fry, N. K., Andrews, N. J., Miller, E., & Ramsay, M. E. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(18)30052-5 · Cited by 559
Andrews, N. J., Waight, P. A., Burbidge, P., Pearce, E., Roalfe, L., Zancolli, M., Slack, M., Ladhani, S. N., Miller, E., & Goldblatt, D. (2014) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(14)70822-9 · Cited by 545
McGee, L., McDougal, L., Zhou, J., Spratt, B. G., Tenover, F. C., George, R., Hakenbeck, R., Hryniewicz, W., Lefévre, J. C., Tomasz, A., et al. (2001) · Journal of Clinical Microbiology · doi:10.1128/jcm.39.7.2565-2571.2001 · Cited by 518
Self-citation
Cited by
García, E. (2023) · International Microbiology · doi:10.1007/s10123-023-00364-y · Cited by 6
Metadata
- Authors
- Gladstone, R. A., Lo, S. W., Lees, J. A., Croucher, N. J., van Tonder, A. J., Corander, J., Page, A. J., Marttinen, P., Bentley, L. J., Ochoa, T. J., Ho, P. L., du Plessis, M., Cornick, J. E., Kwambana-Adams, B., Benisty, R., Nzenze, S. A., Madhi, S. A., Hawkins, P. A., Everett, D. B., Antonio, M., Dagan, R., Klugman, K. P., von Gottberg, A., McGee, L., Breiman, R. F., & Bentley, S. D.
- Venue
- EBioMedicine
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 43
- Pages
- 338-346
- ISSN
- 2352-3964 (ISSN-L)
- OpenAlex
- W2937635380
- Cited by
- 257
- References
- 43
- FWCI
- 18.22
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact. https://app.cochat.ai/papers/10.1016/j.ebiom.2019.04.021
- The paper
- Gladstone, R. A., Lo, S. W., Lees, J. A., Croucher, N. J., van Tonder, A. J., Corander, J., Page, A. J., Marttinen, P., Bentley, L. J., Ochoa, T. J., Ho, P. L., du Plessis, M., Cornick, J. E., Kwambana-Adams, B., Benisty, R., Nzenze, S. A., Madhi, S. A., Hawkins, P. A., Everett, D. B., . . . Bentley, S. D. (2019). International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact. EBioMedicine. https://doi.org/10.1016/j.ebiom.2019.04.021
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.