Baseline Practices for the Application of Genomic Data Supporting Regulatory Food Safety
Baseline Practices for the Application of Genomic Data Supporting Regulatory Food Safety
复制标题
DOI：
10.5740/jaoacint.16-0269
复制
发表时间：
2017-05-01
影响因子：
1.6
通讯作者：
Blais, Burton
中科院分区：
文献类型：
--
作者：
Lambert, Dominic;Pightling, Arthur;Blais, Burton
下一代测序(NGS)产生的新数据流已被应用于食品微生物学、病原体鉴定和疾病暴发检测。这个。建立数据完整性、再现性和可追溯性的最佳实践将确保食品微生物风险管理决策的可靠、可审计和透明的过程。我们概述了指导使用NGS数据支持微生物食品安全的一般原则。国内和国际司法管辖区的监管当局可以利用这一努力，促进用于食品安全监管目的的基因组信息衍生过程的可靠性、一致性和透明度，并促进相互作用和信息转移，以维护公众健康。
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 international jurisdictions 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.