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Cited by 654

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Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak

Open access
Köser, Claudio U., Holden, Matthew T.G., Ellington, Matthew J., Cartwright, Edward J.P., Brown, Nicholas M., Ogilvy-Stuart, Amanda L., Hsu, Li Yang, Chewapreecha, Claire, Croucher, Nicholas J., Harris, Simon R., Sanders, Mandy, Enright, Mark C., Dougan, Gordon, Bentley, Stephen D., Parkhill, Julian, Fraser, Louise J., Betley, Jason R., Schulz-Trieglaff, Ole B., Smith, Geoffrey P., Peacock, Sharon J.·2012·New England Journal of Medicine

Abstract

BACKGROUND: Isolates of methicillin-resistant Staphylococcus aureus (MRSA) belonging to a single lineage are often indistinguishable by means of current typing techniques. Whole-genome sequencing may provide improved resolution to define transmission pathways and characterize outbreaks. METHODS: We investigated a putative MRSA outbreak in a neonatal intensive care unit. By using rapid high-throughput sequencing technology with a clinically relevant turnaround time, we retrospectively sequenced the DNA from seven isolates associated with the outbreak and another seven MRSA isolates associated with carriage of MRSA or bacteremia in the same hospital. RESULTS: We constructed a phylogenetic tree by comparing single-nucleotide polymorphisms (SNPs) in the core genome to a reference genome (an epidemic MRSA clone, EMRSA-15 [sequence type 22]). This revealed a distinct cluster of outbreak isolates and clear separation between these and the nonoutbreak isolates. A previously missed transmission event was detected between two patients with bacteremia who were not part of the outbreak. We created an artificial "resistome" of antibiotic-resistance genes and demonstrated concordance between it and the results of phenotypic susceptibility testing; we also created a "toxome" consisting of toxin genes. One outbreak isolate had a hypermutator phenotype with a higher number of SNPs than the other outbreak isolates, highlighting the difficulty of imposing a simple threshold for the number of SNPs between isolates to decide whether they are part of a recent transmission chain. CONCLUSIONS: Whole-genome sequencing can provide clinically relevant data within a time frame that can influence patient care. The need for automated data interpretation and the provision of clinically meaningful reports represent hurdles to clinical implementation. (Funded by the U.K. Clinical Research Collaboration Translational Infection Research Initiative and others.).

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Metadata

Authors
Köser, C. U., Holden, M. T. G., Ellington, M. J., Cartwright, E. J. P., Brown, N. M., Ogilvy-Stuart, A. L., Hsu, L. Y., Chewapreecha, C., Croucher, N. J., Harris, S. R., Sanders, M., Enright, M. C., Dougan, G., Bentley, S. D., Parkhill, J., Fraser, L. J., Betley, J. R., Schulz-Trieglaff, O. B., Smith, G. P., & Peacock, S. J.
Venue
New England Journal of Medicine
Published
2012-06-14
Volume
366
Issue
24
Pages
2267-2275
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2051903478
Cited by
654
References
2
FWCI
59.70
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak. https://app.cochat.ai/papers/10.1056/nejmoa1109910
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Köser, C. U., Holden, M. T. G., Ellington, M. J., Cartwright, E. J. P., Brown, N. M., Ogilvy-Stuart, A. L., Hsu, L. Y., Chewapreecha, C., Croucher, N. J., Harris, S. R., Sanders, M., Enright, M. C., Dougan, G., Bentley, S. D., Parkhill, J., Fraser, L. J., Betley, J. R., Schulz-Trieglaff, O. B., Smith, G. P., & Peacock, S. J. (2012). Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak. New England Journal of Medicine. https://doi.org/10.1056/nejmoa1109910

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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.