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

Resistance to antibiotics hampers the treatment of infectious diseases such as tuberculosis (TB). Here, Farhat et al. perform genome-wide association testing for minimum inhibitory concentration (MIC) of 12 anti-TB drugs in whole-genome sequenced clinical M. tuberculosis isolates and identify 13 gen...

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Autores principales:	Maha R. Farhat, Luca Freschi, Roger Calderon, Thomas Ioerger, Matthew Snyder, Conor J. Meehan, Bouke de Jong, Leen Rigouts, Alex Sloutsky, Devinder Kaur, Shamil Sunyaev, Dick van Soolingen, Jay Shendure, Jim Sacchettini, Megan Murray
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/016ec14802424226be7595c42ca7b257
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spelling	oai:doaj.org-article:016ec14802424226be7595c42ca7b2572021-12-02T16:57:11ZGWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions10.1038/s41467-019-10110-62041-1723https://doaj.org/article/016ec14802424226be7595c42ca7b2572019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10110-6https://doaj.org/toc/2041-1723Resistance to antibiotics hampers the treatment of infectious diseases such as tuberculosis (TB). Here, Farhat et al. perform genome-wide association testing for minimum inhibitory concentration (MIC) of 12 anti-TB drugs in whole-genome sequenced clinical M. tuberculosis isolates and identify 13 genomic loci.Maha R. FarhatLuca FreschiRoger CalderonThomas IoergerMatthew SnyderConor J. MeehanBouke de JongLeen RigoutsAlex SloutskyDevinder KaurShamil SunyaevDick van SoolingenJay ShendureJim SacchettiniMegan MurrayNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Maha R. Farhat Luca Freschi Roger Calderon Thomas Ioerger Matthew Snyder Conor J. Meehan Bouke de Jong Leen Rigouts Alex Sloutsky Devinder Kaur Shamil Sunyaev Dick van Soolingen Jay Shendure Jim Sacchettini Megan Murray GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
description	Resistance to antibiotics hampers the treatment of infectious diseases such as tuberculosis (TB). Here, Farhat et al. perform genome-wide association testing for minimum inhibitory concentration (MIC) of 12 anti-TB drugs in whole-genome sequenced clinical M. tuberculosis isolates and identify 13 genomic loci.
format	article
author	Maha R. Farhat Luca Freschi Roger Calderon Thomas Ioerger Matthew Snyder Conor J. Meehan Bouke de Jong Leen Rigouts Alex Sloutsky Devinder Kaur Shamil Sunyaev Dick van Soolingen Jay Shendure Jim Sacchettini Megan Murray
author_facet	Maha R. Farhat Luca Freschi Roger Calderon Thomas Ioerger Matthew Snyder Conor J. Meehan Bouke de Jong Leen Rigouts Alex Sloutsky Devinder Kaur Shamil Sunyaev Dick van Soolingen Jay Shendure Jim Sacchettini Megan Murray
author_sort	Maha R. Farhat
title	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_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_sort	gwas for quantitative resistance phenotypes in mycobacterium tuberculosis reveals resistance genes and regulatory regions
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/016ec14802424226be7595c42ca7b257
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_version_	1718382602727981056

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

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