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

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

doi:10.1038/s41467-019-10110-6

Nature Communications (May 2019)

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

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

Affiliations

Maha R. Farhat: Department of Biomedical Informatics, Harvard Medical School
Luca Freschi: Department of Biomedical Informatics, Harvard Medical School
Roger Calderon: Socios en Salud
Thomas Ioerger: Texas A and M University
Matthew Snyder: Department of Genome Sciences, University of Washington
Conor J. Meehan: Department of Biomedical Sciences, Institute of Tropical Medicine
Bouke de Jong: Department of Biomedical Sciences, Institute of Tropical Medicine
Leen Rigouts: Department of Biomedical Sciences, Institute of Tropical Medicine
Alex Sloutsky: Massachusetts Supranational TB Reference Laboratory, University of Massachusetts Medical School
Devinder Kaur: New England Newborn Screening Program, University of Massachusetts Medical School
Shamil Sunyaev: Department of Biomedical Informatics, Harvard Medical School
Dick van Soolingen: National Institute for Public Health and the Environment (RIVM)
Jay Shendure: Department of Genome Sciences, University of Washington
Jim Sacchettini: Texas A and M University
Megan Murray: Department of Global Health and Social Medicine, Harvard Medical School

DOI: https://doi.org/10.1038/s41467-019-10110-6
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 11

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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