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Clin Infect Dis. 2015 Oct 15;61Suppl 3:S141-6. doi: 10.1093/cid/civ610.

Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform.

Author information

1
Division of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
2
Critical Path Institute, Tucson, Arizona.
3
Istituti di Ricovero e Cura a Carattere Scientifico, San Raffaele Scientific Institute, Milan, Italy.
4
Foundation for Innovative New Diagnostics, Geneva, Switzerland.
5
Centre for Ethical, Social, and Cultural Risk, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada.
6
Bill & Melinda Gates Foundation, Seattle, Washington.
7
Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
8
Global TB Programme, TB Monitoring and Evaluation, World Health Organization, Geneva, Switzerland.

Abstract

Continued progress in addressing challenges associated with detection and management of tuberculosis requires new diagnostic tools. These tools must be able to provide rapid and accurate information for detecting resistance to guide selection of the treatment regimen for each patient. To achieve this goal, globally representative genotypic, phenotypic, and clinical data are needed in a standardized and curated data platform. A global partnership of academic institutions, public health agencies, and nongovernmental organizations has been established to develop a tuberculosis relational sequencing data platform (ReSeqTB) that seeks to increase understanding of the genetic basis of resistance by correlating molecular data with results from drug susceptibility testing and, optimally, associated patient outcomes. These data will inform development of new diagnostics, facilitate clinical decision making, and improve surveillance for drug resistance. ReSeqTB offers an opportunity for collaboration to achieve improved patient outcomes and to advance efforts to prevent and control this devastating disease.

KEYWORDS:

Mycobacterium tuberculosis; database; drug resistance

PMID:
26409275
PMCID:
PMC4583571
DOI:
10.1093/cid/civ610
[Indexed for MEDLINE]
Free PMC Article

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