ArticleJournal of clinical microbiology2009
Major Mycobacterium tuberculosis lineages associate with patient country of origin.
Article in Journal of clinical microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
92 citing papers in PubMed, 184 citations in OpenAlex.
- Evaluation of customised lineage-specific sets of MIRU-VNTR loci for genotyping Mycobacterium tuberculosis complex isolates in Ghana.PloS one · 2014Trial
- Migration and tuberculosis transmission in Hamburg, Germany: insights from 25 years of molecular epidemiology.Genome medicine · 2026Article
- Human genetic ancestry,eLife · 2026Article
- Cross-continental transmission and host adaptation ofiMetaOmics · 2025Article
- Genomic characterization of XDR Mycobacterium tuberculosis isolates in Argentina (2006-2015).BMC infectious diseases · 2025Article
- Ecology, global diversity and evolutionary mechanisms in the Mycobacterium tuberculosis complex.Nature reviews. Microbiology · 2025Review
- Epidemiology ofFrontiers in veterinary science · 2025Article
- Zoonotic transmission of theFrontiers in veterinary science · 2025Article
- Exploring Bioactive Phytomedicines for Advancing Pulmonary Infection Management: Insights and Future Prospects.Phytotherapy research : PTR · 2024Review
- Differential rates of Mycobacterium tuberculosis transmission associate with host-pathogen sympatry.Nature microbiology · 2024Article
- Evolution and emergence of Mycobacterium tuberculosis.FEMS microbiology reviews · 2024Review
- Molecular epidemiology and drug sensitivity of Mycobacterium tuberculosis in homeless individuals in the Addis Ababa city, Ethiopia.Scientific reports · 2023Article
- Whole-Genome Sequencing ofMicroorganisms · 2023Article
- Back-to-Africa introductions of Mycobacterium tuberculosis as the main cause of tuberculosis in Dar es Salaam, Tanzania.PLoS pathogens · 2023Article
- Comparative Study on Tuberculosis Drug Resistance and Molecular Detection Methods Among Different Mycobacterium Tuberculosis Lineages.Infection and drug resistance · 2023Article
- Use of Whole-Genome Sequencing to ExploreMicroorganisms · 2022Article
- Experimental Confirmation that an UncommonAntimicrobial agents and chemotherapy · 2022Article
- Biodiversity ofMicroorganisms · 2022Article
- Genetic composition and evolution of the prevalent Mycobacterium tuberculosis lineages 2 and 4 in the Chinese and Zhejiang Province populations.Cell & bioscience · 2021Article
- The Relevance of Genomic Epidemiology for Control of Tuberculosis in West Africa.Frontiers in public health · 2021Review
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Over recent years, there has been an increasing acknowledgment of the diversity that exists among Mycobacterium tuberculosis clinical isolates. To facilitate comparative studies aimed at deciphering the relevance of this diversity to human disease, an unambiguous and easily interpretable method of strain classification is required. Presently, the most effective means of assigning isolates into a series of unambiguous lineages is the method of Gagneux et al. (S. Gagneux et al., Proc. Natl. Acad. Sci. USA 103:2869-2873, 2006) that involves the PCR-based detection of large sequence polymorphisms (LSPs). In this manner, isolates are classified into six major lineages, the majority of which display a high degree of geographic restriction. Here we describe an independent replicate of the Gagneux study carried out on 798 isolates collected over a 6-year period from mostly foreign-born patients resident on the island of Montreal, Canada. The original trends in terms of bacterial genotype and patient ethnicity are remarkably conserved within this Montreal cohort, even though the patient distributions between the two populations are quite distinct. In parallel with the LSP analysis, we also demonstrate that "clustered" tuberculosis (TB) cases defined through restriction fragment length polymorphism (RFLP) analysis (for isolates with >or=6 IS6110 copies) or RFLP in combination with spoligotyping (for isolates with <6 IS6110 copies) do not stray across the LSP-defined lineage boundaries. However, our data also demonstrate the poor discriminatory power of either RFLP or spoligotyping alone for these low-IS6110-copy-number isolates. We believe that this independent validation of the LSP method should encourage researchers to adopt this system in investigations aimed at elucidating the role of strain variation in TB.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.