Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

Nature communications - 13 May 2019

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

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antitubercular Agents
Share to Drug Resistance, Multiple, Bacterial

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Loci

Share to Genome, Bacterial

Share to Mycobacterium tuberculosis

Share to Sputum

Share to Tuberculosis, Multidrug-Resistant

Share to Whole Genome Sequencing

Source

Open in PubMed Open full text

Identifiers

PMID: 31086182
DOI: 10.1038/s41467-019-10110-6
PMCID: PMC6513847

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions.PMID 31086182Read ↗

Genome wide association with quantitative resistance phenotypes in <i>Mycobacterium tuberculosis</i> reveals novel resistance genes and regulatory regionsSemantic proximity Read ↗

Genome-wide association studies of global Mycobacterium tuberculosis resistance to 13 antimicrobials in 10,228 genomes identify new resistance mechanisms.Semantic proximity Read ↗

Genomic Diagnostics for Drug-Resistant Mycobacterium tuberculosis: Computational Prediction of Antimicrobial ResistanceSemantic proximity Read ↗

Leveraging large-scale Mycobacterium tuberculosis whole genome sequence data to characterise drug-resistant mutations using machine learning and statistical approaches.Semantic proximity Read ↗

Genome-wide association studies of global <i>Mycobacterium tuberculosis</i> resistance to thirteen antimicrobials in 10,228 genomesSemantic proximity Read ↗

Investigating the genomic basis of antimicrobial resistance in Mycobacterium tuberculosis (Mtb) using genome-wide methodologiesSemantic proximity Read ↗

Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis.Semantic proximity Read ↗

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort studySemantic proximity Read ↗

Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach.Semantic proximity Read ↗

Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis.Semantic proximity Read ↗

A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics.Semantic proximity Read ↗

Regression for accurate and sensitive grading of mutations diagnostic of antibiotic resistance in<i>Mycobacterium tuberculosis</i>Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.