1. Baseline Practices for the Application of Genomic Data Supporting Regulatory Food Safety
- Author
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Gary Van Domselaar, Joachim Kreysa, Alexandre Angers-Loustau, Peter Evans, Dominic Lambert, Sharon Berthelet, Emma Griffiths, Fiona S. L. Brinkman, Duncan Craig, Weida Tong, Robert Stones, Arthur W. Pightling, Burton W. Blais, and P. Scott Chandry
- Subjects
0301 basic medicine ,Pharmacology ,Food Safety ,Traceability ,business.industry ,Best practice ,Environmental resource management ,Reproducibility of Results ,Genomics ,Food safety ,Transparency (behavior) ,Disease Outbreaks ,Analytical Chemistry ,03 medical and health sciences ,Identification (information) ,030104 developmental biology ,Risk analysis (engineering) ,Data integrity ,Food Microbiology ,Environmental Chemistry ,Baseline (configuration management) ,business ,Agronomy and Crop Science ,Risk management ,Food Science - Abstract
The application of new data streams generated from next-generation sequencing (NGS) has been demonstrated for food microbiology, pathogen identification, and illness outbreak detection. The establishment of best practices for data integrity,reproducibility, and traceability will ensure reliable, auditable, and transparent processes underlying food microbiology risk management decisions. We outline general principles to guide the use of NGS data in support of microbiological food safety. Regulatory authorities across intra- and internationaljurisdictions can leverage this effort to promote the reliability, consistency, and transparency of processes used in the derivation of genomic information for regulatory food safety purposes, and to facilitate interactions and the transfer of information in the interest of public health.
- Published
- 2017
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