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The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: A genotypic analysis

Authors :
Bill & Melinda Gates Foundation
Medical Research Council (UK)
Wellcome Trust
Unitaid
Comas, Iñaki [0000-0001-5504-9408]
Walker, Timothy M.
Miotto, Paolo
Koser, Claudio U.
Fowler, Philip W.
Knaggs, Jeff
Iqbal, Zamin
Hunt, Martin
Chindelevitch, Leonid
Farhat, Maha
Cirillo, Daniela Maria
Comas, Iñaki
Posey, James
Omar, Shaheed V.
Peto, Timothy Ea
Suresh, Anita
Uplekar, Swapna
Laurent, Sacha
Colman, Rebecca E.
Nathanson, Carl-Michael
Zignol, Matteo
Walker, Ann Sarah
Crook, Derrick W.
Ismail, Nazir
Rodwell, Timothy C.
CRyPTIC Consortium
Seq&Treat Consortium
Bill & Melinda Gates Foundation
Medical Research Council (UK)
Wellcome Trust
Unitaid
Comas, Iñaki [0000-0001-5504-9408]
Walker, Timothy M.
Miotto, Paolo
Koser, Claudio U.
Fowler, Philip W.
Knaggs, Jeff
Iqbal, Zamin
Hunt, Martin
Chindelevitch, Leonid
Farhat, Maha
Cirillo, Daniela Maria
Comas, Iñaki
Posey, James
Omar, Shaheed V.
Peto, Timothy Ea
Suresh, Anita
Uplekar, Swapna
Laurent, Sacha
Colman, Rebecca E.
Nathanson, Carl-Michael
Zignol, Matteo
Walker, Ann Sarah
Crook, Derrick W.
Ismail, Nazir
Rodwell, Timothy C.
CRyPTIC Consortium
Seq&Treat Consortium
Publication Year :
2022

Abstract

Background: Molecular diagnostics are considered the most promising route to achieving rapid, universal drug susceptibility testing for Mycobacterium tuberculosiscomplex (MTBC). We aimed to generate a WHO endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. Methods: A candidate gene approach was used to identify mutations as associated with resistance, or consistent with susceptibility, for 13 WHO endorsed anti-tuberculosis drugs. 38,215 MTBC isolates with paired whole-genome sequencing and phenotypic drug susceptibility testing data were amassed from 45 countries. For each mutation, a contingency table of binary phenotypes and presence or absence of the mutation computed positive predictive value, and Fisher's exact tests generated odds ratios and Benjamini-Hochberg corrected p-values. Mutations were graded as Associated with Resistance if present in at least 5 isolates, if the odds ratio was >1 with a statistically significant corrected p-value, and if the lower bound of the 95% confidence interval on the positive predictive value for phenotypic resistance was >25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: 15,667 associations were computed for 13,211 unique mutations linked to one or more drugs. 1,149/15,667 (7·3%) mutations were classified as associated with phenotypic resistance and 107/15,667 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was >80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were classified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: This first WHO endorsed catalogue of molecular targets for MTBC drug susceptibility

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1356199677
Document Type :
Electronic Resource