In this retrospective study, whole-genome sequencing (WGS) data generated on an Ion Torrent platform was used to predict phenotypic drug resistance profiles for first- and second-line drugs among Swedish clinical Mycobacterium tuberculosis isolates from 2016 to 2018. The accuracy was ∼99% for all first-line drugs and 100% for four second-line drugs. Our analysis supports the introduction of WGS into routine diagnostics, which might, at least in Sweden, replace phenotypic drug susceptibility testing in the future.
Keywords: drug resistance prediction; high-throughput nucleotide sequencing; microbial drug resistance; microbial sensitivity tests; tuberculosis; whole-genome sequencing.
Copyright © 2020 American Society for Microbiology.