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Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience

Tuberculosis is a significant cause of morbidity worldwide and is a priority at the provincial and federal levels in Canada. It is known that tuberculosis transmission networks are complex and span many years as well as different jurisdictions and countries. MIRU-VNTR is a universal tuberculosis gen...

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Autores principales: Sharma, Meenu K., Janella, Debra, McGurran, Alisa, Corbett, Cindi, Adam, Heather, Akochy, Pierre-Marie, Haldane, David, MacKenzie, Hope, Minion, Jessica, Needle, Robert, Newberry, Caroline, Patterson, Michael, Sekirov, Inna, Tyrrell, Gregory, Soualhine, Hafid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424012/
https://www.ncbi.nlm.nih.gov/pubmed/36046174
http://dx.doi.org/10.1155/2022/3505142
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author Sharma, Meenu K.
Janella, Debra
McGurran, Alisa
Corbett, Cindi
Adam, Heather
Akochy, Pierre-Marie
Haldane, David
MacKenzie, Hope
Minion, Jessica
Needle, Robert
Newberry, Caroline
Patterson, Michael
Sekirov, Inna
Tyrrell, Gregory
Soualhine, Hafid
author_facet Sharma, Meenu K.
Janella, Debra
McGurran, Alisa
Corbett, Cindi
Adam, Heather
Akochy, Pierre-Marie
Haldane, David
MacKenzie, Hope
Minion, Jessica
Needle, Robert
Newberry, Caroline
Patterson, Michael
Sekirov, Inna
Tyrrell, Gregory
Soualhine, Hafid
author_sort Sharma, Meenu K.
collection PubMed
description Tuberculosis is a significant cause of morbidity worldwide and is a priority at the provincial and federal levels in Canada. It is known that tuberculosis transmission networks are complex and span many years as well as different jurisdictions and countries. MIRU-VNTR is a universal tuberculosis genotyping method that utilizes a 24-loci pattern and it has shown promise in identifying inter and intrajurisdictional clusters within Canada. MIRU-VNTR data collected over 10 years from the National Reference Centre for Mycobacteriology (NRCM) were analyzed in this study. Some clusters were unique to a single province/territory, while others spanned multiple provinces and/or territories in Canada. The use of a universal laboratory test can enhance contact tracing, provide geographical information on circulating genotypes, and hence, aid in tuberculosis investigation by public health. The housing of all data on one platform, technical ease of the method, easy exchange of data between jurisdictions, and strong collaboration with laboratories and surveillance units at the provincial and federal levels have the potential to identify possible outbreaks in real time.
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spelling pubmed-94240122022-08-30 Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience Sharma, Meenu K. Janella, Debra McGurran, Alisa Corbett, Cindi Adam, Heather Akochy, Pierre-Marie Haldane, David MacKenzie, Hope Minion, Jessica Needle, Robert Newberry, Caroline Patterson, Michael Sekirov, Inna Tyrrell, Gregory Soualhine, Hafid Can J Infect Dis Med Microbiol Research Article Tuberculosis is a significant cause of morbidity worldwide and is a priority at the provincial and federal levels in Canada. It is known that tuberculosis transmission networks are complex and span many years as well as different jurisdictions and countries. MIRU-VNTR is a universal tuberculosis genotyping method that utilizes a 24-loci pattern and it has shown promise in identifying inter and intrajurisdictional clusters within Canada. MIRU-VNTR data collected over 10 years from the National Reference Centre for Mycobacteriology (NRCM) were analyzed in this study. Some clusters were unique to a single province/territory, while others spanned multiple provinces and/or territories in Canada. The use of a universal laboratory test can enhance contact tracing, provide geographical information on circulating genotypes, and hence, aid in tuberculosis investigation by public health. The housing of all data on one platform, technical ease of the method, easy exchange of data between jurisdictions, and strong collaboration with laboratories and surveillance units at the provincial and federal levels have the potential to identify possible outbreaks in real time. Hindawi 2022-08-22 /pmc/articles/PMC9424012/ /pubmed/36046174 http://dx.doi.org/10.1155/2022/3505142 Text en Copyright © 2022 Meenu K. Sharma et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sharma, Meenu K.
Janella, Debra
McGurran, Alisa
Corbett, Cindi
Adam, Heather
Akochy, Pierre-Marie
Haldane, David
MacKenzie, Hope
Minion, Jessica
Needle, Robert
Newberry, Caroline
Patterson, Michael
Sekirov, Inna
Tyrrell, Gregory
Soualhine, Hafid
Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience
title Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience
title_full Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience
title_fullStr Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience
title_full_unstemmed Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience
title_short Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience
title_sort compilation of 10 years of miru-vntr data: canadian national tuberculosis laboratory's experience
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424012/
https://www.ncbi.nlm.nih.gov/pubmed/36046174
http://dx.doi.org/10.1155/2022/3505142
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