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• W4386587330 abstract "Abstract Rationale Standardized dosing of anti-tubercular (TB) drugs leads to variable plasma drug levels, which are associated with adverse drug reactions, delayed treatment response, and relapse. Mutations in genes affecting drug metabolism explain considerable interindividual pharmacokinetic variability; however, pharmacogenomic (PGx) assays that predict metabolism of anti-TB drugs have been lacking. Objectives To develop a Nanopore sequencing panel and validate its performance in active TB patients to personalize treatment dosing. Measurements and Main Results We developed a Nanopore sequencing panel targeting 15 single nucleotide polymorphisms (SNP) in 5 genes affecting the metabolism of isoniazid (INH), rifampin (RIF), linezolid and bedaquiline. For validation, we sequenced DNA samples (n=48) from the 1000 genomes project and compared variant calling accuracy with Illumina genome sequencing. We then sequenced DNA samples from patients with active TB (n=100) from South Africa on a MinION Mk1C and evaluated the relationship between genotypes and pharmacokinetic parameters for INH and RIF. Results The PGx panel achieved 100% concordance with Illumina sequencing in variant identification for the samples from the 1000 Genomes Project. In the clinical cohort, coverage was >100x for 1498/1500 (99.8%) amplicons across the 100 samples. One third (33%) of participants were identified as slow, 47% were intermediate and 20% were rapid isoniazid acetylators. Isoniazid clearance was significantly impacted by acetylator status (p<0.0001) with median (IQR) clearances of 11.2 L/h (9.3-13.4), 27.2 L/h (22.0-31.7), and 45.1 L/h (34.1-51.1) in slow, intermediate, and rapid acetylators. Rifampin clearance was 17.3% (2.50-29.9) lower in individuals with homozygous AADAC rs1803155 G>A substitutions (p=0.0015). Conclusion Targeted sequencing can enable detection of polymorphisms influencing TB drug metabolism on a low-cost, portable instrument to personalize dosing for TB treatment or prevention. Summary This manuscript describes the development and validation of Nanopore sequencing panel to detect host pharmacogenomic markers to guide personalized drug dosing for treatment or prevention of tuberculosis. This article has an online data supplement, which is accessible from this issue’s table of content online at www.atsjournals.org" @default.
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• W4386587330 date "2023-09-10" @default.
• W4386587330 modified "2023-10-14" @default.
• W4386587330 title "A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing" @default.
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• W4386587330 doi "https://doi.org/10.1101/2023.09.08.23295248" @default.
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