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Title: High-resolution typing by integration of genome sequencing data in a large tuberculosis cluster.
Author(s): Schurch, A.C.; Kremer, K. ; Daviena, O.; Kiers, A.; Boeree, M.J. ; Siezen, R.J. ; Soolingen, D. van
Publication year: 2010
Source: Journal of Clinical Microbiology, vol. 48, iss. 9, (2010), pp. 3403-3406
ISSN: 0095-1137
DOI: https://doi.org/10.1128/JCM.00370-10
Annotation: 1 september 2010
Publication type: Article / Letter to editor

Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/88338   https://hdl.handle.net/2066/88338

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Subject: N4i 3: Poverty-related infectious diseases
N4i 3: Poverty-related infectious diseases NCMLS 1: Infection and autoimmunity
NCMLS 4: Energy and redox metabolism
N4i 3: Poverty-related infectious diseases NCMLS 1: Infection and autoimmunity
Organization: Medical Microbiology
Pulmonary Diseases
CMBI
Journal title:
Journal of Clinical Microbiology
Volume: vol. 48
Issue: iss. 9
Page start: p. 3403
Page end: p. 3406
Abstract:
To investigate whether genome sequencing yields more useful markers than those currently used to study the epidemiology of tuberculosis, it was applied to three Mycobacterium tuberculosis isolates of the Harlingen outbreak. Our findings suggest that single nucleotide polymorphisms can be used to identify transmission chains in restriction fragment length polymorphism clusters.

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