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Article

Whole-Genome Sequencing Predicting Phenotypic Antitubercular Drug Resistance: Meta-analysis.

The Journal of infectious diseases - 15 May 2024

Tagami Yoichi, Horita Nobuyuki, Kaneko Megumi, Muraoka Suguru, Fukuda Nobuhiko, Izawa Ami, Kaneko Ayami, Somekawa Kohei, Kamimaki Chisato, Matsumoto Hiromi, Tanaka Katsushi, Murohashi Kota, Aoki Ayako, Fujii Hiroaki, Watanabe Keisuke, Hara Yu, Kobayashi Nobuaki, Kaneko Takeshi

Abstract excerpt

BACKGROUND: For simultaneous prediction of phenotypic drug susceptibility test (pDST) for multiple antituberculosis drugs, the whole genome sequencing (WGS) data can be analyzed using either a catalog-based approach, wherein 1 causative mutation suggests resistance, (eg, World Health Organization catalog) or noncatalog-based approach using complicated algorithm (eg, TB-profiler, machine learning). The aim was to...

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PMID: 37946558
DOI: 10.1093/infdis/jiad480

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