Genome Watch | Published:

Breaking the code of antibiotic resistance

Nature Reviews Microbiology volume 16, page 262 (2018) | Download Citation

This month's Genome Watch highlights how a better understanding of genotype–phenotype correlation may lead to the design of new diagnostic tests for antimicrobial resistance in clinical settings.

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    et al. The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee. Clin. Microbiol. Infect. 23, 2–22 (2017).

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    et al. Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis. Nat. Genet. 50, 307–316 (2018).

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    et al. Validation of beta-lactam minimum inhibitory concentration predictions for pneumococcal isolates with newly encountered penicillin binding protein (PBP) sequences. BMC Genomics 18, 621 (2017).

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    et al. Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae. Sci. Rep. 8, 421 (2018).

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Author information


  1. Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.

    • Stephanie W. Lo
    •  & Nicole E. Wheeler
  2. Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK; and the Department of Medicine, University of Cambridge, Cambridge, UK.

    • Narender Kumar


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Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Stephanie W. Lo.

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