In:
Annals of the New York Academy of Sciences, Wiley, Vol. 1388, No. 1 ( 2017-01), p. 59-77
Abstract:
Genomics is now firmly established as a technique for the investigation and reconstruction of communicable disease outbreaks, with many genomic epidemiology studies focusing on revealing transmission routes of Mycobacterium tuberculosis . In this primer, we introduce the basic techniques underlying transmission inference from genomic data, using illustrative examples from M. tuberculosis and other pathogens routinely sequenced by public health agencies. We describe the laboratory and epidemiological scenarios under which genomics may or may not be used, provide an introduction to sequencing technologies and bioinformatics approaches to identifying transmission‐informative variation and resistance‐associated mutations, and discuss how variation must be considered in the light of available clinical and epidemiological information to infer transmission.
Type of Medium:
Online Resource
ISSN:
0077-8923
,
1749-6632
DOI:
10.1111/nyas.2017.1388.issue-1
Language:
English
Publisher:
Wiley
Publication Date:
2017
detail.hit.zdb_id:
2834079-6
detail.hit.zdb_id:
211003-9
detail.hit.zdb_id:
2071584-5
SSG:
11
