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Genomic sequencing is required for identification of tuberculosis transmission in Hawaii

BACKGROUND: Tuberculosis (TB) caused an estimated 1.4 million deaths and 10.4 million new cases globally in 2015. TB rates in the United States continue to steadily decline, yet rates in the State of Hawaii are perennially among the highest in the nation due to a continuous influx of immigrants from...

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Autores principales: Koster, Kent J., Largen, Angela, Foster, Jeffrey T., Drees, Kevin P., Qian, Lishi, Desmond, Ed, Wan, Xuehua, Hou, Shaobin, Douglas, James T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276198/
https://www.ncbi.nlm.nih.gov/pubmed/30509214
http://dx.doi.org/10.1186/s12879-018-3502-1
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author Koster, Kent J.
Largen, Angela
Foster, Jeffrey T.
Drees, Kevin P.
Qian, Lishi
Desmond, Ed
Wan, Xuehua
Hou, Shaobin
Douglas, James T.
author_facet Koster, Kent J.
Largen, Angela
Foster, Jeffrey T.
Drees, Kevin P.
Qian, Lishi
Desmond, Ed
Wan, Xuehua
Hou, Shaobin
Douglas, James T.
author_sort Koster, Kent J.
collection PubMed
description BACKGROUND: Tuberculosis (TB) caused an estimated 1.4 million deaths and 10.4 million new cases globally in 2015. TB rates in the United States continue to steadily decline, yet rates in the State of Hawaii are perennially among the highest in the nation due to a continuous influx of immigrants from the Western Pacific and Asia. TB in Hawaii is composed of a unique distribution of genetic lineages, with the Beijing and Manila families of Mycobacterium tuberculosis (Mtb) comprising over two-thirds of TB cases. Standard fingerprinting methods (spoligotyping plus 24-loci Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats [MIRU-VNTR] fingerprinting) perform poorly when used to identify actual transmission clusters composed of isolates from these two families. Those typing methods typically group isolates from these families into large clusters of non-linked isolates with identical fingerprints. Next-generation whole-genome sequencing (WGS) provides a new tool for molecular epidemiology that can resolve clusters of isolates with identical spoligotyping and MIRU-VNTR fingerprints. METHODS: We performed WGS and SNP analysis and evaluated epidemiological data to investigate 19 apparent TB transmission clusters in Hawaii from 2003 to 2017 in order to assess WGS’ ability to resolve putative Mtb clusters from the Beijing and Manila families. This project additionally investigated MIRU-VNTR allele prevalence to determine why standard Mtb fingerprinting fails to usefully distinguish actual transmission clusters from these two Mtb families. RESULTS: WGS excluded transmission events in seven of these putative clusters, confirmed transmission in eight, and identified both transmission-linked and non-linked isolates in four. For epidemiologically identified clusters, while the sensitivity of MIRU-VNTR fingerprinting for identifying actual transmission clusters was found to be 100%, its specificity was only 28.6% relative to WGS. We identified that the Beijing and Manila families’ significantly lower Shannon evenness of MIRU-VNTR allele distributions than lineage 4 was the cause of standard fingerprinting’s poor performance when identifying transmission in Beijing and Manila family clusters. CONCLUSIONS: This study demonstrated that WGS is necessary for epidemiological investigation of TB in Hawaii and the Pacific. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3502-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-62761982018-12-06 Genomic sequencing is required for identification of tuberculosis transmission in Hawaii Koster, Kent J. Largen, Angela Foster, Jeffrey T. Drees, Kevin P. Qian, Lishi Desmond, Ed Wan, Xuehua Hou, Shaobin Douglas, James T. BMC Infect Dis Research Article BACKGROUND: Tuberculosis (TB) caused an estimated 1.4 million deaths and 10.4 million new cases globally in 2015. TB rates in the United States continue to steadily decline, yet rates in the State of Hawaii are perennially among the highest in the nation due to a continuous influx of immigrants from the Western Pacific and Asia. TB in Hawaii is composed of a unique distribution of genetic lineages, with the Beijing and Manila families of Mycobacterium tuberculosis (Mtb) comprising over two-thirds of TB cases. Standard fingerprinting methods (spoligotyping plus 24-loci Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats [MIRU-VNTR] fingerprinting) perform poorly when used to identify actual transmission clusters composed of isolates from these two families. Those typing methods typically group isolates from these families into large clusters of non-linked isolates with identical fingerprints. Next-generation whole-genome sequencing (WGS) provides a new tool for molecular epidemiology that can resolve clusters of isolates with identical spoligotyping and MIRU-VNTR fingerprints. METHODS: We performed WGS and SNP analysis and evaluated epidemiological data to investigate 19 apparent TB transmission clusters in Hawaii from 2003 to 2017 in order to assess WGS’ ability to resolve putative Mtb clusters from the Beijing and Manila families. This project additionally investigated MIRU-VNTR allele prevalence to determine why standard Mtb fingerprinting fails to usefully distinguish actual transmission clusters from these two Mtb families. RESULTS: WGS excluded transmission events in seven of these putative clusters, confirmed transmission in eight, and identified both transmission-linked and non-linked isolates in four. For epidemiologically identified clusters, while the sensitivity of MIRU-VNTR fingerprinting for identifying actual transmission clusters was found to be 100%, its specificity was only 28.6% relative to WGS. We identified that the Beijing and Manila families’ significantly lower Shannon evenness of MIRU-VNTR allele distributions than lineage 4 was the cause of standard fingerprinting’s poor performance when identifying transmission in Beijing and Manila family clusters. CONCLUSIONS: This study demonstrated that WGS is necessary for epidemiological investigation of TB in Hawaii and the Pacific. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3502-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-03 /pmc/articles/PMC6276198/ /pubmed/30509214 http://dx.doi.org/10.1186/s12879-018-3502-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Koster, Kent J.
Largen, Angela
Foster, Jeffrey T.
Drees, Kevin P.
Qian, Lishi
Desmond, Ed
Wan, Xuehua
Hou, Shaobin
Douglas, James T.
Genomic sequencing is required for identification of tuberculosis transmission in Hawaii
title Genomic sequencing is required for identification of tuberculosis transmission in Hawaii
title_full Genomic sequencing is required for identification of tuberculosis transmission in Hawaii
title_fullStr Genomic sequencing is required for identification of tuberculosis transmission in Hawaii
title_full_unstemmed Genomic sequencing is required for identification of tuberculosis transmission in Hawaii
title_short Genomic sequencing is required for identification of tuberculosis transmission in Hawaii
title_sort genomic sequencing is required for identification of tuberculosis transmission in hawaii
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276198/
https://www.ncbi.nlm.nih.gov/pubmed/30509214
http://dx.doi.org/10.1186/s12879-018-3502-1
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