title: High-resolution typing by integration of genome sequencing data in a large tuberculosis cluster.
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.
authors.affiliation: Tuberculosis Reference Laboratory, National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, P.O. Box 1, 3720 BA Bilthoven, the Netherlands.
authors.forename: Anita C
authors.initials: AC
authors.lastname: Schürch
authors.forename: Kristin
authors.initials: K
authors.lastname: Kremer
authors.forename: Olaf
authors.initials: O
authors.lastname: Daviena
authors.forename: Albert
authors.initials: A
authors.lastname: Kiers
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Boeree
authors.forename: Roland J
authors.initials: RJ
authors.lastname: Siezen
authors.forename: Dick
authors.initials: D
authors.lastname: van Soolingen
mesh_terms: D015373:Bacterial Typing Techniques; D016000:Cluster Analysis; D004269:DNA, Bacterial / Q000737:chemistry / Q000235:genetics*; D016680:Genome, Bacterial; D006801:Humans; D017720:Molecular Epidemiology / Q000379:methods; D009169:Mycobacterium tuberculosis / Q000145:classification* / Q000235:genetics*; D012150:Polymorphism, Restriction Fragment Length; D020641:Polymorphism, Single Nucleotide; D014376:Tuberculosis / Q000382:microbiology*
chemical_list: D004269:DNA, Bacterial