Literature DB >> 29695528

Setup, Validation, and Quality Control of a Centralized Whole-Genome-Sequencing Laboratory: Lessons Learned.

Cath Arnold1, Kirstin Edwards2, Meeta Desai2, Steve Platt3, Jonathan Green3, David Conway4.   

Abstract

Routine use of whole-genome analysis for infectious diseases can be used to enlighten various scenarios pertaining to public health, including identification of microbial pathogens, relating individual cases to an outbreak of infectious disease, establishing an association between an outbreak of food poisoning and a specific food vehicle, inferring drug susceptibility, source tracing of contaminants, and study of variations in the genome that affect pathogenicity/virulence. We describe the setup, validation, and ongoing verification of a centralized whole-genome-sequencing (WGS) laboratory to carry out sequencing for these public health functions for the National Infection Services, Public Health England, in the United Kingdom. The performance characteristics and quality control metrics measured during validation and verification of the entire end-to-end process (accuracy, precision, reproducibility, and repeatability) are described and include information regarding the automated pass and release of data to service users without intervention. © Crown copyright 2018.

Entities:  

Keywords:  WGS; infectious disease; public health; quality control; validation

Mesh:

Year:  2018        PMID: 29695528      PMCID: PMC6062811          DOI: 10.1128/JCM.00261-18

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  28 in total

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6.  The utility and public health implications of PCR and whole genome sequencing for the detection and investigation of an outbreak of Shiga toxin-producing Escherichia coli serogroup O26:H11.

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7.  Prediction of Staphylococcus aureus antimicrobial resistance by whole-genome sequencing.

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10.  Whole-Genome Sequencing for National Surveillance of Shigella flexneri.

Authors:  Marie A Chattaway; David R Greig; Amy Gentle; Hassan B Hartman; Timothy J Dallman; Claire Jenkins
Journal:  Front Microbiol       Date:  2017-09-19       Impact factor: 5.640

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