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GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions

Drug resistance diagnostics that rely on the detection of resistance-related mutations could expedite patient care and TB eradication. We perform minimum inhibitory concentration testing for 12 anti-TB drugs together with Illumina whole-genome sequencing on 1452 clinical Mycobacterium tuberculosis (...

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Autores principales: Farhat, Maha R., Freschi, Luca, Calderon, Roger, Ioerger, Thomas, Snyder, Matthew, Meehan, Conor J., de Jong, Bouke, Rigouts, Leen, Sloutsky, Alex, Kaur, Devinder, Sunyaev, Shamil, van Soolingen, Dick, Shendure, Jay, Sacchettini, Jim, Murray, Megan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513847/
https://www.ncbi.nlm.nih.gov/pubmed/31086182
http://dx.doi.org/10.1038/s41467-019-10110-6
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author Farhat, Maha R.
Freschi, Luca
Calderon, Roger
Ioerger, Thomas
Snyder, Matthew
Meehan, Conor J.
de Jong, Bouke
Rigouts, Leen
Sloutsky, Alex
Kaur, Devinder
Sunyaev, Shamil
van Soolingen, Dick
Shendure, Jay
Sacchettini, Jim
Murray, Megan
author_facet Farhat, Maha R.
Freschi, Luca
Calderon, Roger
Ioerger, Thomas
Snyder, Matthew
Meehan, Conor J.
de Jong, Bouke
Rigouts, Leen
Sloutsky, Alex
Kaur, Devinder
Sunyaev, Shamil
van Soolingen, Dick
Shendure, Jay
Sacchettini, Jim
Murray, Megan
author_sort Farhat, Maha R.
collection PubMed
description Drug resistance diagnostics that rely on the detection of resistance-related mutations could expedite patient care and TB eradication. We perform minimum inhibitory concentration testing for 12 anti-TB drugs together with Illumina whole-genome sequencing on 1452 clinical Mycobacterium tuberculosis (MTB) isolates. We evaluate genome-wide associations between mutations in MTB genes or non-coding regions and resistance, followed by validation in an independent data set of 792 patient isolates. We confirm associations at 13 non-canonical loci, with two involving non-coding regions. Promoter mutations are measured to have smaller average effects on resistance than gene body mutations. We estimate the heritability of the resistance phenotype to 11 anti-TB drugs and identify a lower than expected contribution from known resistance genes. This study highlights the complexity of the genomic mechanisms associated with the MTB resistance phenotype, including the relatively large number of potentially causal loci, and emphasizes the contribution of the non-coding portion of the genome.
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spelling pubmed-65138472019-05-15 GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions Farhat, Maha R. Freschi, Luca Calderon, Roger Ioerger, Thomas Snyder, Matthew Meehan, Conor J. de Jong, Bouke Rigouts, Leen Sloutsky, Alex Kaur, Devinder Sunyaev, Shamil van Soolingen, Dick Shendure, Jay Sacchettini, Jim Murray, Megan Nat Commun Article Drug resistance diagnostics that rely on the detection of resistance-related mutations could expedite patient care and TB eradication. We perform minimum inhibitory concentration testing for 12 anti-TB drugs together with Illumina whole-genome sequencing on 1452 clinical Mycobacterium tuberculosis (MTB) isolates. We evaluate genome-wide associations between mutations in MTB genes or non-coding regions and resistance, followed by validation in an independent data set of 792 patient isolates. We confirm associations at 13 non-canonical loci, with two involving non-coding regions. Promoter mutations are measured to have smaller average effects on resistance than gene body mutations. We estimate the heritability of the resistance phenotype to 11 anti-TB drugs and identify a lower than expected contribution from known resistance genes. This study highlights the complexity of the genomic mechanisms associated with the MTB resistance phenotype, including the relatively large number of potentially causal loci, and emphasizes the contribution of the non-coding portion of the genome. Nature Publishing Group UK 2019-05-13 /pmc/articles/PMC6513847/ /pubmed/31086182 http://dx.doi.org/10.1038/s41467-019-10110-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Farhat, Maha R.
Freschi, Luca
Calderon, Roger
Ioerger, Thomas
Snyder, Matthew
Meehan, Conor J.
de Jong, Bouke
Rigouts, Leen
Sloutsky, Alex
Kaur, Devinder
Sunyaev, Shamil
van Soolingen, Dick
Shendure, Jay
Sacchettini, Jim
Murray, Megan
GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
title GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
title_full GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
title_fullStr GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
title_full_unstemmed GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
title_short GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
title_sort gwas for quantitative resistance phenotypes in mycobacterium tuberculosis reveals resistance genes and regulatory regions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513847/
https://www.ncbi.nlm.nih.gov/pubmed/31086182
http://dx.doi.org/10.1038/s41467-019-10110-6
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