2007
DOI: 10.1128/jcm.01393-06
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Assessment of an Optimized Mycobacterial Interspersed Repetitive- Unit-Variable-Number Tandem-Repeat Typing System Combined with Spoligotyping for Population-Based Molecular Epidemiology Studies of Tuberculosis

Abstract: An optimized set of 24 mycobacterial interspersed repetitive-unit-variable-number tandem-repeat (MIRU-VNTR) loci, including a discriminatory subset of 15 loci, has recently been defined for the typing of Mycobacterium tuberculosis. Here, we evaluated the performances of this MIRU-VNTR typing system in combination with spoligotyping for the detection of transmission chains in a population-based study comprising 91% of culture-confirmed tuberculosis patients reported in 2003 in Hamburg, Germany. Of the 154 isola… Show more

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Cited by 189 publications
(182 citation statements)
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References 33 publications
(45 reference statements)
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“…Not sur- prisingly, the IS6110 low-copy-number M. bovis cluster was clearly split by MIRU-VNTR typing (4,11,13).…”
Section: Discussionmentioning
confidence: 99%
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“…Not sur- prisingly, the IS6110 low-copy-number M. bovis cluster was clearly split by MIRU-VNTR typing (4,11,13).…”
Section: Discussionmentioning
confidence: 99%
“…In comparative populationbased evaluations, we and others found a similar if not slightly better performance of 15-or 24-loci MIRU-VNTR typing compared to IS6110 RFLP typing for discrimination of clinical isolates and detection of transmission chains in TB patient populations (13). Few subsequent studies compared MIRU-VNTR typing with the "gold standard" IS6110 RFLP typing, because the latter is rather laborious and more difficult to perform (6,7,15).…”
Section: Discussionmentioning
confidence: 99%
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“…Spoligotyping is highly reproducible and useful to broadly study population structure and attempt to identify main lineages, however it must be combined with other typing methods to be useful for identification of transmission chains and discriminate isolates up to the clonal level (Cowan et al, 2005;Oelemann et al, 2007).…”
Section: Wwwelseviercom/locate/meegidmentioning
confidence: 99%