Systematic review of whole-genome sequencing data to predict phenotypic drug resistance and susceptibility in Swedish Mycobacterium tuberculosis isolates, 2016 to …
T Enkirch, J Werngren, R Groenheit, E Alm… - Antimicrobial Agents …, 2020 - Am Soc Microbiol
T Enkirch, J Werngren, R Groenheit, E Alm, R Advani, M Lind Karlberg, M Mansjö
Antimicrobial Agents and Chemotherapy, 2020•Am Soc MicrobiolIn 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.
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.
Abstract
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.
American Society for Microbiology