ArticleEmerging infectious diseases2019
SNP-IT Tool for Identifying Subspecies and Associated Lineages of Mycobacterium tuberculosis Complex.
Article in Emerging infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods for Detecting Mycobacterial Mixed Strain Infections-A Systematic Review.Frontiers in genetics · 2020Pooled it
- Development of a multiplex PCR for detection of pathogenic Mycobacterium orygis in cattle tissues harboring tuberculous-like lesions: a pilot study.Tropical animal health and production · 2026Article
- Reference-free clustering as an epidemiological tool forMicrobial genomics · 2026Article
- Reimagining Tuberculosis Control in the Era of Genomics: The Case for Global Investment inPathogens (Basel, Switzerland) · 2025Review
- Detection of tuberculous and non-tuberculous mycobacterial species in trans-tracheal washes of cattle and buffaloes with respiratory distress.Tropical animal health and production · 2025Article
- Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis.Nature communications · 2025Article
- Review
- Enhanced analysis of the genomic diversity ofFrontiers in microbiology · 2025Article
- Emergence ofFrontiers in public health · 2025Review
- Characterization of Mycobacterium orygis, Mycobacterium bovis, and Mycobacterium caprae Infections in Humans in Western Canada.The Journal of infectious diseases · 2024Article
- Molecular Epidemiology of Isoniazid-resistantOpen forum infectious diseases · 2024Article
- Metagenomic and paleopathological analyses of a historic documented collection explore ancient dental calculus as a diagnostic tool.Scientific reports · 2024Article
- Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach.Nature communications · 2024Article
- Epidemiological, clinical, and genotypic characteristics of pediatricFrontiers in microbiology · 2024Article
- Whole genome sequencing-based identification of human tuberculosis caused by animal-lineageJournal of clinical microbiology · 2023Article
- Global-scale GWAS associates a subset of SNPs with animal-adapted variants in M. tuberculosis complex.BMC medical genomics · 2023Article
- Quantitative measurement of antibiotic resistance inResearch square · 2023Article
- Clinical features of human tuberculosis due toJournal of clinical tuberculosis and other mycobacterial diseases · 2023Article
- Occurrence of extrapulmonary tuberculosis is associated with geographical origin: spatial characteristics of the Frankfurt TB cohort 2013-2018.Infection · 2023Article
- Whole genome sequencing and comparative genomics ofFrontiers in cellular and infection microbiology · 2023Article
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Authors and funding
16 authors.
Funding
Abstract
The clinical phenotype of zoonotic tuberculosis and its contribution to the global burden of disease are poorly understood and probably underestimated. This shortcoming is partly because of the inability of currently available laboratory and in silico tools to accurately identify all subspecies of the Mycobacterium tuberculosis complex (MTBC). We present SNPs to Identify TB (SNP-IT), a single-nucleotide polymorphism-based tool to identify all members of MTBC, including animal clades. By applying SNP-IT to a collection of clinical genomes from a UK reference laboratory, we detected an unexpectedly high number of M. orygis isolates. M. orygis is seen at a similar rate to M. bovis, yet M. orygis cases have not been previously described in the United Kingdom. From an international perspective, it is possible that M. orygis is an underestimated zoonosis. Accurate identification will enable study of the clinical phenotype, host range, and transmission mechanisms of all subspecies of MTBC in greater detail.
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