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  3. Standard genotyping overestimates transmission of Mycobacterium tuberculosis among immigrants in a low incidence country.
 

Standard genotyping overestimates transmission of Mycobacterium tuberculosis among immigrants in a low incidence country.

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BORIS DOI
10.7892/boris.82647
Publisher DOI
10.1128/JCM.00126-16
PubMed ID
27194683
Description
Immigrants from high tuberculosis (TB) incidence regions are a risk group for TB in low-incidence countries such as Switzerland. In a previous analysis of a nationwide collection of 520 Mycobacterium tuberculosis isolates from 2000-2008, we identified 35 clusters comprising 90 patients based on standard genotyping (24-loci MIRU-VNTR and spoligotyping). Here, we used whole genome sequencing (WGS) to revisit these transmission clusters. Genome-based transmission clusters were defined as isolate pairs separated by ≤12 single nucleotide polymorphisms (SNPs). WGS confirmed 17/35 (49%) MIRU-VNTR clusters; the other 18 clusters contained pairs separated by >12 SNPs. Most transmission clusters (3/4) of Swiss-born patients were confirmed by WGS, as opposed to 25% (4/16) of clusters involving only foreign-born patients. The overall clustering proportion using standard genotyping was 17% (90 patients, 95% confidence interval [CI]: 14-21%), but only 8% (43 patients, 95% CI: 6-11%) using WGS. The clustering proportion was 17% (67/401, 95% CI: 13-21%) using standard genotyping and 7% (26/401, 95% CI: 4-9%) using WGS among foreign-born patients, and 19% (23/119, 95% CI: 13-28%) and 14% (17/119, 95% CI: 9-22%), respectively, among Swiss-born patients. Using weighted logistic regression, we found weak evidence for an association between birth origin and transmission (aOR 2.2, 95% CI: 0.9-5.5, comparing Swiss-born patients to others). In conclusion, standard genotyping overestimated recent TB transmission in Switzerland when compared to WGS, particularly among immigrants from high TB incidence regions, where genetically closely related strains often predominate. We recommend the use of WGS to identify transmission clusters in low TB incidence settings.
Date of Publication
2016-07
Publication Type
Article
Subject(s)
600 - Technology::610 - Medicine & health
300 - Social sciences, sociology & anthropology::360 - Social problems & social services
500 - Science::570 - Life sciences; biology
Language(s)
en
Contributor(s)
Stucki, David
Ballif, Marieorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Egger, Matthiasorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Furrer, Hansjakoborcid-logo
Universitätsklinik für Infektiologie
Altpeter, Ekkehardt
Battegay, Manuel
Droz, Sara Christine
Institut für Infektionskrankheiten
Bruderer, Thomas
Coscolla, Mireia
Borrell, Sonia
Zürcher, Kathrin
Institut für Sozial- und Präventivmedizin (ISPM)
Janssens, Jean-Paul
Calmy, Alexandra
Mazza Stalder, Jesica
Jaton, Katia
Rieder, Hans L
Pfyffer, Gaby E
Siegrist, Hans H
Hoffmann, Matthias
Fehr, Jan
Dolina, Marisa
Frei, Reno
Schrenzel, Jacques
Böttger, Erik C
Gagneux, Sebastien
Fenner, Lukasorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Additional Credits
Institut für Sozial- und Präventivmedizin (ISPM)
Universitätsklinik für Infektiologie
Institut für Infektionskrankheiten
Series
Journal of clinical microbiology
Publisher
American Society for Microbiology
ISSN
0095-1137
Access(Rights)
open.access
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