ArticleJAC-antimicrobial resistance2023
Inclusion of minor alleles improves catalogue-based prediction of fluoroquinolone resistance in
Article in JAC-antimicrobial resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Characterizing the performance of an antibiotic resistance prediction tool, gnomonicus, using a diverse test set of 2,663Microbial genomics · 2025Article
- Subpopulations in clinical samples ofJAC-antimicrobial resistance · 2025Article
- An improved catalogue for whole-genome sequencing prediction of bedaquiline resistance inMicrobial genomics · 2025Article
- A comprehensive evaluation of a novel targeted-sequencing workflow forFrontiers in cellular and infection microbiology · 2025Article
- Rifampicin resistantJournal of clinical tuberculosis and other mycobacterial diseases · 2024Article
- Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach.Nature communications · 2024Article
- Quantitative measurement of antibiotic resistance inResearch square · 2023Article
- Drug resistance prediction forMicrobial genomics · 2023Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
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Abstract
Objectives: Fluoroquinolone resistance poses a threat to the successful treatment of tuberculosis. WGS, and the subsequent detection of catalogued resistance-associated mutations, offers an attractive solution to fluoroquinolone susceptibility testing but sensitivities are often less than 90%. We hypothesize that this is partly because the bioinformatic pipelines used usually mask the recognition of minor alleles that have been implicated in fluoroquinolone resistance. Methods: We analysed the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC) dataset of globally diverse WGS Results: Detecting minor alleles increased the sensitivity of WGS for moxifloxacin resistance prediction from 85.4% to 94.0%, without significantly reducing specificity. We also found no correlation between the proportion of an Conclusions: Together our results highlight the importance of detecting minor resistance-conferring alleles when using WGS, or indeed any sequencing-based approach, to diagnose fluoroquinolone resistance.
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Registered trials
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