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TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis
Following a huge global effort, the first World Health Organization (WHO)-endorsed catalogue of 17,356 variants in the Mycobacterium tuberculosis complex along with their classification as associated with resistance (interim), not associated with resistance (interim) or uncertain significance was ma...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803136/ https://www.ncbi.nlm.nih.gov/pubmed/36584023 http://dx.doi.org/10.1371/journal.pone.0279644 |
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author | Verboven, Lennert Phelan, Jody Heupink, Tim H. Van Rie, Annelies |
author_facet | Verboven, Lennert Phelan, Jody Heupink, Tim H. Van Rie, Annelies |
author_sort | Verboven, Lennert |
collection | PubMed |
description | Following a huge global effort, the first World Health Organization (WHO)-endorsed catalogue of 17,356 variants in the Mycobacterium tuberculosis complex along with their classification as associated with resistance (interim), not associated with resistance (interim) or uncertain significance was made public In June 2021. This marks a critical step towards the application of next generation sequencing (NGS) data for clinical care. Unfortunately, the variant format used makes it difficult to look up variants when NGS data is generated by other bioinformatics pipelines. Furthermore, the large number of variants of uncertain significance in the catalogue hamper its useability in clinical practice. We successfully converted 98.3% of variants from the WHO catalogue format to the standardized HGVS format. We also created TBProfiler version 4.4.0 to automate the calling of all variants located in the tier 1 and 2 candidate resistance genes along with their classification when listed in the WHO catalogue. Using a representative sample of 339 clinical isolates from South Africa containing 691 variants in a tier 1 or 2 gene, TBProfiler classified 105 (15%) variants as conferring resistance, 72 (10%) as not conferring resistance and 514 (74%) as unclassified, with an average of 29 unclassified variants per isolate. Using a second cohort of 56 clinical isolates from a TB outbreak in Spain containing 21 variants in the tier 1 and 2 genes, TBProfiler classified 13 (61.9%) as unclassified, 7 (33.3%) as not conferring resistance, and a single variant (4.8%) classified as conferring resistance. Continued global efforts using standardized methods for genotyping, phenotyping and bioinformatic analyses will be essential to ensure that knowledge on genomic variants translates into improved patient care. |
format | Online Article Text |
id | pubmed-9803136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-98031362022-12-31 TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis Verboven, Lennert Phelan, Jody Heupink, Tim H. Van Rie, Annelies PLoS One Research Article Following a huge global effort, the first World Health Organization (WHO)-endorsed catalogue of 17,356 variants in the Mycobacterium tuberculosis complex along with their classification as associated with resistance (interim), not associated with resistance (interim) or uncertain significance was made public In June 2021. This marks a critical step towards the application of next generation sequencing (NGS) data for clinical care. Unfortunately, the variant format used makes it difficult to look up variants when NGS data is generated by other bioinformatics pipelines. Furthermore, the large number of variants of uncertain significance in the catalogue hamper its useability in clinical practice. We successfully converted 98.3% of variants from the WHO catalogue format to the standardized HGVS format. We also created TBProfiler version 4.4.0 to automate the calling of all variants located in the tier 1 and 2 candidate resistance genes along with their classification when listed in the WHO catalogue. Using a representative sample of 339 clinical isolates from South Africa containing 691 variants in a tier 1 or 2 gene, TBProfiler classified 105 (15%) variants as conferring resistance, 72 (10%) as not conferring resistance and 514 (74%) as unclassified, with an average of 29 unclassified variants per isolate. Using a second cohort of 56 clinical isolates from a TB outbreak in Spain containing 21 variants in the tier 1 and 2 genes, TBProfiler classified 13 (61.9%) as unclassified, 7 (33.3%) as not conferring resistance, and a single variant (4.8%) classified as conferring resistance. Continued global efforts using standardized methods for genotyping, phenotyping and bioinformatic analyses will be essential to ensure that knowledge on genomic variants translates into improved patient care. Public Library of Science 2022-12-30 /pmc/articles/PMC9803136/ /pubmed/36584023 http://dx.doi.org/10.1371/journal.pone.0279644 Text en © 2022 Verboven et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Verboven, Lennert Phelan, Jody Heupink, Tim H. Van Rie, Annelies TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis |
title | TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis |
title_full | TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis |
title_fullStr | TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis |
title_full_unstemmed | TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis |
title_short | TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis |
title_sort | tbprofiler for automated calling of the association with drug resistance of variants in mycobacterium tuberculosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803136/ https://www.ncbi.nlm.nih.gov/pubmed/36584023 http://dx.doi.org/10.1371/journal.pone.0279644 |
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