Coll, F. and McNerney, R. and Preston, M.D and Guerra-Assunção, J.A. and Warry, A. and Hill-Cawthorne, G. and Mallard, K. and Nair, M. and Miranda, A. and Alves, A. and Perdigão, J. and Viveiros, M. and Portugal, I. and Hasan, Z. and Hasan, R. and Glynn, J.R. and Martin, Nigel and Pain, A. and Clark, T.G (2015) Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences. Genome Medicine 7 (1), ISSN 1756-994X.
|
Text
12298.pdf - Published Version of Record Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Mycobacterium tuberculosis drug resistance (DR) challenges effective tuberculosis disease control. Current molecular tests examine limited numbers of mutations, and although whole genome sequencing approaches could fully characterise DR, data complexity has restricted their clinical application. A library (1,325 mutations) predictive of DR for 15 anti-tuberculosis drugs was compiled and validated for 11 of them using genomic-phenotypic data from 792 strains. A rapid online ‘TB-Profiler’ tool was developed to report DR and strain-type profiles directly from raw sequences. Using our DR mutation library, in silico diagnostic accuracy was superior to some commercial diagnostics and alternative databases. The library will facilitate sequence-based drug-susceptibility testing.
Metadata
| Item Type: | Article |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Data Analytics, Birkbeck Institute for |
| Depositing User: | Administrator |
| Date Deposited: | 02 Jun 2015 08:01 |
| Last Modified: | 09 Aug 2023 12:36 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/12298 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
