UVP
UVP processes Mycobacterium tuberculosis complex (MTBC) whole genome sequencing (WGS) data to identify genetic variants and assign lineages for analysis of drug-resistant tuberculosis and integration with phenotypic drug susceptibility testing (DST) in the ReSeqTB platform.
Key Features:
- Variant Identification: Detects genetic variants in MTBC isolates from WGS using stringent thresholds and quality-control measures.
- Lineage Assignment: Assigns MTBC lineages with reported 100% concordance to conventional methods.
- Data Standardization and Aggregation: Standardizes and aggregates global MTBC variant data with phenotypic DST and clinical metadata for incorporation into the ReSeqTB platform.
Scientific Applications:
- Drug Resistance Prediction: Predicts phenotypic drug resistance with reported accuracy exceeding 94% when compared to DST across 4,636 publicly available MTBC isolates covering all seven major lineages.
- Reference Standard Development: Supports establishment of confidence-graded mutations statistically associated with phenotypic drug resistance to inform molecular diagnostic assay development.
- Public Health Reference: Provides a reference standard to aid researchers, public health agencies, and clinicians in the control and management of drug-resistant tuberculosis.
Methodology:
Standardizes and aggregates WGS-derived MTBC variant data alongside phenotypic DST and clinical information; applies stringent thresholds and quality-control measures for variant detection; assigns lineage; validated on 90 diverse MTBC isolates with comparison to conventional DST and DNA Sanger sequencing (98.9% agreement) and evaluated across 4,636 public isolates from all seven major lineages for drug resistance prediction (>94% accuracy).
Topics
Details
- License:
- MIT
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 10/11/2019
- Last Updated:
- 11/25/2024
Operations
Publications
Ezewudo M, Borens A, Chiner-Oms Á, Miotto P, Chindelevitch L, Starks AM, Hanna D, Liwski R, Zignol M, Gilpin C, Niemann S, Kohl TA, Warren RM, Crook D, Gagneux S, Hoffner S, Rodrigues C, Comas I, Engelthaler DM, Alland D, Rigouts L, Lange C, Dheda K, Hasan R, McNerney R, Cirillo DM, Schito M, Rodwell TC, Posey J. Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase. Scientific Reports. 2018;8(1). doi:10.1038/s41598-018-33731-1. PMID:30337678. PMCID:PMC6194142.