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WGS to predict antibiotic MICs for Neisseria gonorrhoeae

Abstract:
Background: Tracking the spread of antimicrobial resistant Neisseria gonorrhoeae is a major priority for national surveillance programmes. Objectives: We investigate whether whole-genome sequencing, WGS, and simultaneous analysis of multiple resistance determinants can be used to predict antimicrobial susceptibilities to the level of minimum inhibitory concentrations, MICs, in N. gonorrhoeae. Methods: WGS was used to identify previously re... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1093/jac/dkx067

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Department:
Oxford, MSD, NDM, NDM Experimental Medicine
De Silva, D More by this author
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National Institute for Health Research Oxford Biomedical Research Centre More from this funder
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Grant:
WT098615/Z/12/Z; WT098615 and HICF-T5-358
Publisher:
Oxford University Press Publisher's website
Journal:
Journal of Antimicrobial Chemotherapy Journal website
Volume:
72
Issue:
7
Pages:
1937-1947
Publication date:
2017-03-10
Acceptance date:
2017-02-08
DOI:
EISSN:
1460-2091
ISSN:
0305-7453
Pubs id:
pubs:679245
URN:
uri:eb986c17-3940-49ad-989e-ec4ea84617a8
UUID:
uuid:eb986c17-3940-49ad-989e-ec4ea84617a8
Local pid:
pubs:679245

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