A data compendium of Mycobacterium tuberculosis antibiotic resistance
Abstract
The Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC) presents here a compendium of 15,211 Mycobacterium tuberculosis global clinical isolates, all of which have undergone whole genome sequencing (WGS) and have had their minimum inhibitory concentrations to 13 antitubercular drugs measured in a single assay. It is the largest matched phenotypic and genotypic dataset for M. tuberculosis to date. Here, we provide a summary detailing the breadth of data collected, along with a description of how the isolates were collected and uniformly processed in CRyPTIC partner laboratories across 23 countries. The compendium contains 6,814 isolates resistant to at least one drug, including 2,129 samples that fully satisfy the clinical definitions of rifampicin resistant (RR), multi-drug resistant (MDR), pre-extensively drug resistant (pre-XDR) or extensively drug resistant (XDR). Accurate prediction of resistance status (sensitive/resistant) to eight antitubercular drugs by using a genetic mutation catalogue is presented along with the presence of suspected resistance-conferring mutations for isolates resistant to the newly introduced drugs bedaquiline, clofazimine, delamanid and linezolid. Finally, a case study of rifampicin mono-resistance demonstrates how this compendium could be used to advance our genetic understanding of rare resistance phenotypes. The compendium is fully open-source and it is hoped that the dataset will facilitate and inspire future research for years to come.
02 /Specification & Classification
Click any tag to browse matching papers- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genome-wide association studies of global Mycobacterium tuberculosis resistance to thirteen antimicrobials in 10,228 genomes
Sarah G. Earle, Daniel J. Wilson·bioRxiv·Sep 14, 2021
- Rifampicin and rifabutin resistance in 1000 Mycobacterium tuberculosis clinical isolates
M. R. Farhat, J. Sixsmith, … M. Murray·bioRxiv·Sep 25, 2018
- Benchmarking the translational potential of AI-based drug-resistance prediction from Mycobacterium tuberculosis whole-genome sequencing data
C X Liu, Haoyue Zhu, … Yang Yang·bioRxiv·Jul 3, 2026
- Genomic Diagnostics for Drug-Resistant Mycobacterium tuberculosis: Computational Prediction of Antimicrobial Resistance
Mohammadali Serajian, Yunheng Han, Christina Boucher·bioRxiv·May 25, 2026
- Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning
The CRyPTIC consortium, A. S. Lachapelle·bioRxiv·Sep 14, 2021
- A precision overview of genomic resistance screening in isolates of Mycobacterium tuberculosis using web-based bioinformatics tools.
G. Morey-Leon, P. M. Mejia-Ponce, … L. Berna·bioRxiv·Jan 10, 2023