| Literature DB >> 32122893 |
Theresa Enkirch1,2, Jim Werngren3, Ramona Groenheit1, Erik Alm1,4, Reza Advani1, Maria Lind Karlberg1, Mikael Mansjö1.
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.Entities:
Keywords: drug resistance prediction; high-throughput nucleotide sequencing; microbial drug resistance; microbial sensitivity tests; tuberculosis; whole-genome sequencing
Mesh:
Year: 2020 PMID: 32122893 PMCID: PMC7179598 DOI: 10.1128/AAC.02550-19
Source DB: PubMed Journal: Antimicrob Agents Chemother ISSN: 0066-4804 Impact factor: 5.191