Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences

Francesc Coll, Ruth McNerney, Mark D. Preston, José Afonso Guerra-Assunção, Andrew Warry, Grant Hill-Cawthorne, Kim Mallard, Mridul Nair, Anabela Miranda, Adriana Alves, João Perdigão, Miguel Viveiros, Isabel Portugal, Zahra Hasan, Rumina Hasan, Judith R. Glynn, Nigel Martin, Arnab Pain, Taane G. Clark

Research output: Contribution to journalArticlepeer-review

284 Citations (Scopus)


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.

Original languageEnglish
Article number51
JournalGenome Medicine
Issue number1
Publication statusPublished - 14 Dec 2015


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