TY - JOUR
T1 - Genomic Epidemiology of a Major Mycobacterium tuberculosis Outbreak
T2 - Retrospective Cohort Study in a Low-Incidence Setting Using Sparse Time-Series Sampling
AU - Folkvardsen, Dorte Bek
AU - Norman, Anders
AU - Andersen, Åse Bengård
AU - Michael Rasmussen, Erik
AU - Jelsbak, Lars
AU - Lillebaek, Troels
N1 - © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: [email protected].
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Since 1992, Denmark has documented the largest outbreak of tuberculosis in Scandinavia ascribed to a single genotype, termed C2/1112-15. As of spring 2017, the International Reference Laboratory of Mycobacteriology in Copenhagen has collected and identified isolates from more than a thousand cases belonging to this outbreak via routine mycobacterial interspersed repetitive units-variable number of tandem repeats typing. Here, we present a retrospective analysis of the C2/1112-15 dataset, based on whole-genome data from a sparse time series consisting of 5 randomly selected isolates from 23 years of sampling. Even if these data are derived from only 12% of the collected isolates, we have been able to extract important key information, such as mutation rate and conserved single-nucleotide polymorphisms to identify discrete transmission chains, as well as the possible historical origins of the outbreak.
AB - Since 1992, Denmark has documented the largest outbreak of tuberculosis in Scandinavia ascribed to a single genotype, termed C2/1112-15. As of spring 2017, the International Reference Laboratory of Mycobacteriology in Copenhagen has collected and identified isolates from more than a thousand cases belonging to this outbreak via routine mycobacterial interspersed repetitive units-variable number of tandem repeats typing. Here, we present a retrospective analysis of the C2/1112-15 dataset, based on whole-genome data from a sparse time series consisting of 5 randomly selected isolates from 23 years of sampling. Even if these data are derived from only 12% of the collected isolates, we have been able to extract important key information, such as mutation rate and conserved single-nucleotide polymorphisms to identify discrete transmission chains, as well as the possible historical origins of the outbreak.
KW - Bacterial Typing Techniques
KW - DNA, Bacterial
KW - Denmark
KW - Genotype
KW - Humans
KW - Incidence
KW - Linear Models
KW - Molecular Epidemiology
KW - Mutation Rate
KW - Mycobacterium tuberculosis
KW - Polymorphism, Single Nucleotide
KW - Retrospective Studies
KW - Sequence Analysis, DNA
KW - Tuberculosis
KW - Journal Article
U2 - 10.1093/infdis/jix298
DO - 10.1093/infdis/jix298
M3 - Journal article
C2 - 28666374
SN - 0022-1899
VL - 216
SP - 366
EP - 374
JO - The Journal of infectious diseases
JF - The Journal of infectious diseases
IS - 3
ER -