| Title |
A data compendium of Mycobacterium tuberculosis antibiotic resistance
|
|---|---|
| Published in |
bioRxiv, September 2021
|
| DOI | 10.1101/2021.09.14.460274 |
| Authors |
Alice Brankin, Kerri M Malone, The CRyPTIC Consortium |
| 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. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 14 | 33% |
| United States | 5 | 12% |
| Ireland | 2 | 5% |
| Australia | 2 | 5% |
| Peru | 1 | 2% |
| Germany | 1 | 2% |
| Singapore | 1 | 2% |
| Pakistan | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 12 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 64% |
| Scientists | 14 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |