Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase.

MatthewEzewudo; Amanda Borens ORCID logo; Álvaro Chiner-Oms ORCID logo; Paolo Miotto ORCID logo; LeonidChindelevitch; Angela MStarks; DebraHanna; RichardLiwski; MatteoZignol; ChristopherGilpin; +19 more... StefanNiemann; Thomas AndreasKohl; Robin MWarren; DerrickCrook; SebastienGagneux; Sven Hoffner ORCID logo; CamillaRodrigues; Iñaki Comas ORCID logo; David MEngelthaler; DavidAlland; LeenRigouts; ChristophLange; Keertan Dheda ORCID logo; RuminaHasan; Ruth McNerney ORCID logo; Daniela MCirillo; MarcoSchito; Timothy CRodwell; JamesPosey; (2018) Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase. SCIENTIFIC REPORTS, 8 (1). 15382-. ISSN 2045-2322 DOI: 10.1038/s41598-018-33731-1
Copy

Drug-resistant tuberculosis poses a persistent public health threat. The ReSeqTB platform is a collaborative, curated knowledgebase, designed to standardize and aggregate global Mycobacterium tuberculosis complex (MTBC) variant data from whole genome sequencing (WGS) with phenotypic drug susceptibility testing (DST) and clinical data. We developed a unified analysis variant pipeline (UVP) ( https://github.com/CPTR-ReSeqTB/UVP ) to identify variants and assign lineage from MTBC sequence data. Stringent thresholds and quality control measures were incorporated in this open source tool. The pipeline was validated using a well-characterized dataset of 90 diverse MTBC isolates with conventional DST and DNA Sanger sequencing data. The UVP exhibited 98.9% agreement with the variants identified using Sanger sequencing and was 100% concordant with conventional methods of assigning lineage. We analyzed 4636 publicly available MTBC isolates in the ReSeqTB platform representing all seven major MTBC lineages. The variants detected have an above 94% accuracy of predicting drug based on the accompanying DST results in the platform. The aggregation of variants over time in the platform will establish confidence-graded mutations statistically associated with phenotypic drug resistance. These tools serve as critical reference standards for future molecular diagnostic assay developers, researchers, public health agencies and clinicians working towards the control of drug-resistant tuberculosis.



picture_as_pdf
Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowl.pdf
subject
Published Version
Available under Creative Commons: 3.0

View Download

Explore Further

Read more research from the creator(s):

Find work associated with the faculties and division(s):

Find work from this publication: