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Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences
Mycobacterium tuberculosis drug resistance (DR) challenges effective tuberculosis disease control. Current molecular tests examine limited numbers of mutations, and although whole genome sequencing approaches could fully characterise DR, data complexity has restricted their clinical application. A l...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4446134/ https://www.ncbi.nlm.nih.gov/pubmed/26019726 http://dx.doi.org/10.1186/s13073-015-0164-0 |
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author | Coll, Francesc McNerney, Ruth Preston, Mark D Guerra-Assunção, José Afonso Warry, Andrew Hill-Cawthorne, Grant Mallard, Kim Nair, Mridul Miranda, Anabela Alves, Adriana Perdigão, João Viveiros, Miguel Portugal, Isabel Hasan, Zahra Hasan, Rumina Glynn, Judith R Martin, Nigel Pain, Arnab Clark, Taane G |
author_facet | Coll, Francesc McNerney, Ruth Preston, Mark D Guerra-Assunção, José Afonso Warry, Andrew Hill-Cawthorne, Grant Mallard, Kim Nair, Mridul Miranda, Anabela Alves, Adriana Perdigão, João Viveiros, Miguel Portugal, Isabel Hasan, Zahra Hasan, Rumina Glynn, Judith R Martin, Nigel Pain, Arnab Clark, Taane G |
author_sort | Coll, Francesc |
collection | PubMed |
description | Mycobacterium tuberculosis drug resistance (DR) challenges effective tuberculosis disease control. Current molecular tests examine limited numbers of mutations, and although whole genome sequencing approaches could fully characterise DR, data complexity has restricted their clinical application. A library (1,325 mutations) predictive of DR for 15 anti-tuberculosis drugs was compiled and validated for 11 of them using genomic-phenotypic data from 792 strains. A rapid online ‘TB-Profiler’ tool was developed to report DR and strain-type profiles directly from raw sequences. Using our DR mutation library, in silico diagnostic accuracy was superior to some commercial diagnostics and alternative databases. The library will facilitate sequence-based drug-susceptibility testing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0164-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4446134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44461342015-05-28 Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences Coll, Francesc McNerney, Ruth Preston, Mark D Guerra-Assunção, José Afonso Warry, Andrew Hill-Cawthorne, Grant Mallard, Kim Nair, Mridul Miranda, Anabela Alves, Adriana Perdigão, João Viveiros, Miguel Portugal, Isabel Hasan, Zahra Hasan, Rumina Glynn, Judith R Martin, Nigel Pain, Arnab Clark, Taane G Genome Med Method Mycobacterium tuberculosis drug resistance (DR) challenges effective tuberculosis disease control. Current molecular tests examine limited numbers of mutations, and although whole genome sequencing approaches could fully characterise DR, data complexity has restricted their clinical application. A library (1,325 mutations) predictive of DR for 15 anti-tuberculosis drugs was compiled and validated for 11 of them using genomic-phenotypic data from 792 strains. A rapid online ‘TB-Profiler’ tool was developed to report DR and strain-type profiles directly from raw sequences. Using our DR mutation library, in silico diagnostic accuracy was superior to some commercial diagnostics and alternative databases. The library will facilitate sequence-based drug-susceptibility testing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0164-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-27 /pmc/articles/PMC4446134/ /pubmed/26019726 http://dx.doi.org/10.1186/s13073-015-0164-0 Text en © Coll et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Method Coll, Francesc McNerney, Ruth Preston, Mark D Guerra-Assunção, José Afonso Warry, Andrew Hill-Cawthorne, Grant Mallard, Kim Nair, Mridul Miranda, Anabela Alves, Adriana Perdigão, João Viveiros, Miguel Portugal, Isabel Hasan, Zahra Hasan, Rumina Glynn, Judith R Martin, Nigel Pain, Arnab Clark, Taane G Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences |
title | Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences |
title_full | Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences |
title_fullStr | Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences |
title_full_unstemmed | Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences |
title_short | Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences |
title_sort | rapid determination of anti-tuberculosis drug resistance from whole-genome sequences |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4446134/ https://www.ncbi.nlm.nih.gov/pubmed/26019726 http://dx.doi.org/10.1186/s13073-015-0164-0 |
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