Unknown

Dataset Information

The mutational signatures of poor treatment outcomes on the drug-susceptible Mycobacterium tuberculosis genome.


ABSTRACT: Drug resistance is a known risk factor for poor tuberculosis (TB) treatment outcomes, but the contribution of other bacterial factors to poor outcomes in drug-susceptible TB is less well understood. Here, we generate a population-based dataset of drug-susceptible Mycobacterium tuberculosis (MTB) isolates from China to identify factors associated with poor treatment outcomes. We analyzed whole-genome sequencing (WGS) data of MTB strains from 3196 patients, including 3105 patients with good and 91 patients with poor treatment outcomes, and linked genomes to patient epidemiological data. A genome-wide association study (GWAS) was performed to identify bacterial genomic variants associated with poor outcomes. Risk factors identified by logistic regression analysis were used in clinical

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10188106 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature