Interpretation of Whole-Genome Sequencing for Enteric Disease Surveillance and Outbreak Investigation

Besser, John M.; Carleton, Heather A.; Trees, Eija; Stroika, Steven G.; Hise, Kelley; Wise, Matthew; Gerner-Smidt, Peter

doi:10.1089/fpd.2019.2650

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Interpretation of Whole-Genome Sequencing for Enteric Disease Surveillance and Outbreak Investigation

Published Date:

June 27 2019

Publisher's site:

http://dx.doi.org/10.1089/fpd.2019.2650 New Site Icon

Source:

Foodborne Pathog Dis. 2019; 16(7):504-512

Language:

English

[PDF-253.01 KB]

Details:

Personal Authors:

Besser, John M. ; Carleton, Heather A. ; Trees, Eija ; Stroika, Steven G. ; Hise, Kelley ; ... More ▼

Keywords:

[+]

Pubmed ID:

31246502

Pubmed Central ID:

PMC6653782

Description:

The routine use of whole-genome sequencing (WGS) as part of enteric disease surveillance is substantially enhancing our ability to detect and investigate outbreaks and to monitor disease trends. At the same time, it is revealing as never before the vast complexity of microbial and human interactions that contribute to outbreak ecology. Since WGS analysis is primarily used to characterize and compare microbial genomes with the goal of addressing epidemiological questions, it must be interpreted in an epidemiological context. In this article, we identify common challenges and pitfalls encountered when interpreting sequence data in an enteric disease surveillance and investigation context, and explain how to address them.

Document Type:

Journal Article

Collection(s):

CDC Public Access

Main Document Checksum:

[+]

Supporting Files:

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