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Whole genome sequencing data of 1110 Mycobacterium tuberculosis isolates identifies insertions and deletions associated with drug resistance.

Xi ZengJamie Sui-Lam KwokKevin Yi YangKenneth Siu-Sing LeungMai ShiZhiyuan YangWing-Cheong YamStephen Kwok Wing Tsui
Published in: BMC genomics (2018)
This study identified a set of novel genetic markers with FS mutations and IGR indels associated with MTB drug resistance, which greatly broadens the pool of mutations related to MTB drug resistance. This insight may be important in identifying novel mechanisms of drug resistance in MTB.
Keyphrases
  • mycobacterium tuberculosis
  • pulmonary tuberculosis
  • genome wide
  • electronic health record
  • dna methylation
  • machine learning
  • artificial intelligence
  • genetic diversity
  • drug induced