Tuberculosis Drug Resistance Mutation Database
Author Information
Author(s): Andreas Sandgren, Michael Strong, Preetika Muthukrishnan, Brian K. Weiner, George M. Church, Megan B. Murray
Primary Institution: Harvard School of Public Health
Hypothesis
The study aims to create a comprehensive database of drug resistance mutations in Mycobacterium tuberculosis.
Conclusion
The study successfully established an open-access database that compiles mutations associated with drug resistance in tuberculosis.
Supporting Evidence
- The database includes 946 unique mutations associated with seven different drug classes.
- It provides information on the frequency of mutations in diverse geographical settings.
- The database is open-access and aims to support the development of new diagnostic tools.
- Data in the database can help researchers understand the mechanisms of drug resistance.
Takeaway
Researchers created a big list of changes in the TB germ that make it resistant to medicine, so doctors can better understand and treat it.
Methodology
The study involved a systematic review of existing literature to compile data on drug resistance mutations.
Limitations
The database is based on literature available up to January 2008 and may not include the most recent mutations.
Digital Object Identifier (DOI)
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