ArticleScientific reports2019
Transmission dynamics study of tuberculosis isolates with whole genome sequencing in southern Sweden.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Reporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark.The Lancet. Microbe · 2021Pooled it
- Genetic diversity and drug resistance profiles ofMicrobiology spectrum · 2026Article
- Genotyping and transmission analysis of Mycobacterium tuberculosis in a pediatric population in Czech Republic and Slovakia.BMC infectious diseases · 2025Article
- Global epidemiology of Mycobacterium tuberculosis lineage 4 insights from Ecuadorian genomic data.Scientific reports · 2025Article
- Molecular typing of Mycobacterium tuberculosis: a review of current methods, databases, softwares, and analytical tools.FEMS microbiology reviews · 2025Review
- Evaluation of nationwide analysis surveillance for methicillin-resistantMicrobial genomics · 2025Article
- Genotypic drug resistance and transmission clusters of Mycobacterium tuberculosis isolates among Ethiopian returnees from Saudi Arabia.PloS one · 2025Article
- Article
- Whole-genome sequencing-based genetic diversity, transmission dynamics, and drug-resistant mutations inFrontiers in public health · 2024Article
- Impact of Whole-Genome Sequencing ofPharmaceutics · 2023Review
- Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine.Frontiers in microbiology · 2023Review
- Whole genome sequencing for tuberculosis in Victoria, Australia: A genomic implementation study from 2017 to 2020.The Lancet regional health. Western Pacific · 2022Article
- Whole genome sequencing of multidrug-resistant Mycobacterium tuberculosis isolates collected in the Czech Republic, 2005-2020.Scientific reports · 2022Article
- Characterizing tuberculosis transmission dynamics in high-burden urban and rural settings.Scientific reports · 2022Article
- Whole-Genome Sequencing Reveals Recent Transmission of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2021Article
- Identification and Characterization of Mycobacterial Species Using Whole-Genome Sequences.Methods in molecular biology (Clifton, N.J.) · 2021Article
- International tuberculosis contact-tracing notifications in Germany: analysis of national data from 2010 to 2018 and implications for efficiency.BMC infectious diseases · 2020Article
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epidemiological contact tracing complemented with genotyping of clinical Mycobacterium tuberculosis isolates is important for understanding disease transmission. In Sweden, tuberculosis (TB) is mostly reported in migrant and homeless where epidemiologic contact tracing could pose a problem. This study compared epidemiologic linking with genotyping in a low burden country. Mycobacterium tuberculosis isolates (n = 93) collected at Scania University Hospital in Southern Sweden were analysed with the standard genotyping method mycobacterial interspersed repetitive units-variable number tandem repeats (MIRU-VNTR) and the results were compared with whole genome sequencing (WGS). Using a maximum of twelve single nucleotide polymorphisms (SNPs) as the upper threshold of genomic relatedness noted among hosts, we identified 18 clusters with WGS comprising 52 patients with overall pairwise genetic maximum distances ranging from zero to nine SNPs. MIRU-VNTR and WGS clustered the same isolates, although the distribution differed depending on MIRU-VNTR limitations. Both genotyping techniques identified clusters where epidemiologic linking was insufficient, although WGS had higher correlation with epidemiologic data. To summarize, WGS provided better resolution of transmission than MIRU-VNTR in a setting with low TB incidence. WGS predicted epidemiologic links better which could consolidate and correct the epidemiologically linked cases, avoiding thus false clustering.
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