Whole-Genome Sequencing for Drug Resistance Profile Prediction in
Antitubercular Agents
/ pharmacology
Democratic Republic of the Congo
Drug Resistance, Multiple, Bacterial
/ genetics
Ethambutol
/ pharmacology
Genome, Bacterial
/ genetics
Genotype
Humans
Microbial Sensitivity Tests
/ methods
Mutation
/ genetics
Mycobacterium tuberculosis
/ drug effects
Peru
Phenotype
Switzerland
Thailand
Tuberculosis, Multidrug-Resistant
/ drug therapy
Whole Genome Sequencing
/ methods
Mycobacterium tuberculosis
drug resistance
drug resistance level prediction
quantitative phenotypic drug susceptibility testing
whole-genome sequencing
Journal
Antimicrobial agents and chemotherapy
ISSN: 1098-6596
Titre abrégé: Antimicrob Agents Chemother
Pays: United States
ID NLM: 0315061
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
15
10
2018
accepted:
25
01
2019
pubmed:
6
2
2019
medline:
27
2
2020
entrez:
6
2
2019
Statut:
epublish
Résumé
Whole-genome sequencing allows rapid detection of drug-resistant
Identifiants
pubmed: 30718257
pii: AAC.02175-18
doi: 10.1128/AAC.02175-18
pmc: PMC6496161
pii:
doi:
Substances chimiques
Antitubercular Agents
0
Ethambutol
8G167061QZ
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIAID NIH HHS
ID : U01 AI096299
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI069923
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI069919
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI069907
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI069924
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2019 Gygli et al.
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