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Dataset Information

The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology.


ABSTRACT:

Background

Tracking recent transmission is a vital part of controlling widespread pathogens such as Mycobacterium tuberculosis. Multiple methods with specific performance characteristics exist for detecting recent transmission chains, usually by clustering strains based on genotype similarities. With such a large variety of methods available, informed selection of an appropriate approach for determining transmissions within a given setting/time period is difficult.

Methods

This study combines whole genome sequence (WGS) data derived from 324 isolates collected 2005-2010 in Kinshasa, Democratic Republic of Congo (DRC), a high endemic setting, with phylodynamics to unveil the timing of transmission events posited by a variety of standard genotyping methods. Clustering data bas

SUBMITTER: Meehan CJ 

PROVIDER: S-EPMC6284411 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature