An improved catalogue for whole-genome sequencing prediction of bedaquiline resistance in <i>Mycobacterium tuberculosis</i> using a reproducible algorithmic approach.

ABSTRACT: Bedaquiline (BDQ) has only been approved for use for just over a decade and is a key drug for treating multidrug-resistant tuberculosis; however, rising levels of resistance threaten to reduce its effectiveness. Catalogues of mutations associated with resistance to BDQ are key to detecting resistance genetically for either diagnosis or surveillance. At present, building catalogues requires considerable expert knowledge, often requires the use of complex grading rules and is an irreproducible process. We developed an automated method, catomatic, that associates genetic variants with resistance (or susceptibility) using a two-tailed binomial test with a stated background rate and applied it to a dataset of 11,867 Mycobacterium tuberculosis samples with whole-genome and BDQ susceptibil

SUBMITTER: Adlard D 

PROVIDER: S-EPMC12177157 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature