Open AccessWhole-Genome Sequencing and Social-Network Analysis of a Tuberculosis Outbreak
Author(s) -
Jennifer L. Gardy,
James C. Johnston,
Shannan J. Ho Sui,
Victoria Cook,
Lena Shah,
Elizabeth Brodkin,
Shirley Rempel,
Richard Moore,
Yongjun Zhao,
Robert A. Holt,
Richard Varhol,
İnanç Birol,
Marcus Lem,
Meenu K. Sharma,
Kevin Elwood,
Steven J.M. Jones,
Fiona S. L. Brinkman,
Robert C. Brunham,
Patrick Tang
Publication year - 2011
Publication title -
new england journal of medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.889
H-Index - 1030
eISSN - 1533-4406
pISSN - 0028-4793
DOI - 10.1056/nejmoa1003176
Subject(s) - outbreak , genotyping , genome , whole genome sequencing , tuberculosis , mycobacterium tuberculosis , contact tracing , biology , transmission (telecommunications) , genetics , genotype , evolutionary biology , virology , medicine , disease , infectious disease (medical specialty) , gene , pathology , covid-19 , electrical engineering , engineering
An outbreak of tuberculosis occurred over a 3-year period in a medium-size community in British Columbia, Canada. The results of mycobacterial interspersed repetitive unit-variable-number tandem-repeat (MIRU-VNTR) genotyping suggested the outbreak was clonal. Traditional contact tracing did not identify a source. We used whole-genome sequencing and social-network analysis in an effort to describe the outbreak dynamics at a higher resolution.
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