Pathogen-based precision medicine for drug-resistant tuberculosis

The implementation of next generation sequencing techniques, such as whole genome sequencing (WGS), in tuberculosis (TB) research has enabled timely, cost-effective, and comprehensive insights into the genetic repertoire of the human pathogens of the Mycobacterium tuberculosis complex (MTBC). WGS da...

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Main Authors: Groschel, M, Walker, T, Van Der Werf, T, Lange, C, Niemann, S, Merker, M
Format: Journal article
Published: Public Library of Science 2018
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author Groschel, M
Walker, T
Van Der Werf, T
Lange, C
Niemann, S
Merker, M
author_facet Groschel, M
Walker, T
Van Der Werf, T
Lange, C
Niemann, S
Merker, M
author_sort Groschel, M
collection OXFORD
description The implementation of next generation sequencing techniques, such as whole genome sequencing (WGS), in tuberculosis (TB) research has enabled timely, cost-effective, and comprehensive insights into the genetic repertoire of the human pathogens of the Mycobacterium tuberculosis complex (MTBC). WGS data allow for detailed epidemiological analysis based on genomic distance of the MTBC strains under investigation, e.g. for tracing outbreaks; it can accelerate diagnostics by predicting drug resistance from a mutation catalogue (figure 1). Indeed, specific mutations even permit predictions on the possible clinical treatment course and outcome.
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spelling oxford-uuid:c0b40082-aa4f-418b-a760-09550eeadec62022-03-27T05:56:22ZPathogen-based precision medicine for drug-resistant tuberculosisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c0b40082-aa4f-418b-a760-09550eeadec6Symplectic Elements at OxfordPublic Library of Science2018Groschel, MWalker, TVan Der Werf, TLange, CNiemann, SMerker, MThe implementation of next generation sequencing techniques, such as whole genome sequencing (WGS), in tuberculosis (TB) research has enabled timely, cost-effective, and comprehensive insights into the genetic repertoire of the human pathogens of the Mycobacterium tuberculosis complex (MTBC). WGS data allow for detailed epidemiological analysis based on genomic distance of the MTBC strains under investigation, e.g. for tracing outbreaks; it can accelerate diagnostics by predicting drug resistance from a mutation catalogue (figure 1). Indeed, specific mutations even permit predictions on the possible clinical treatment course and outcome.
spellingShingle Groschel, M
Walker, T
Van Der Werf, T
Lange, C
Niemann, S
Merker, M
Pathogen-based precision medicine for drug-resistant tuberculosis
title Pathogen-based precision medicine for drug-resistant tuberculosis
title_full Pathogen-based precision medicine for drug-resistant tuberculosis
title_fullStr Pathogen-based precision medicine for drug-resistant tuberculosis
title_full_unstemmed Pathogen-based precision medicine for drug-resistant tuberculosis
title_short Pathogen-based precision medicine for drug-resistant tuberculosis
title_sort pathogen based precision medicine for drug resistant tuberculosis
work_keys_str_mv AT groschelm pathogenbasedprecisionmedicinefordrugresistanttuberculosis
AT walkert pathogenbasedprecisionmedicinefordrugresistanttuberculosis
AT vanderwerft pathogenbasedprecisionmedicinefordrugresistanttuberculosis
AT langec pathogenbasedprecisionmedicinefordrugresistanttuberculosis
AT niemanns pathogenbasedprecisionmedicinefordrugresistanttuberculosis
AT merkerm pathogenbasedprecisionmedicinefordrugresistanttuberculosis