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Nutrigenomics 2.0: The Need for Ongoing and Independent Evaluation and Synthesis of Commercial Nutrigenomics Tests Scientific Knowledge Base for Responsible Innovation

机译:Nutrigenomics 2.0:需要持续不断地独立评估和综合商业Nutrigenomics测试的科学知识以负责任地进行创新

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摘要

Nutrigenomics is an important strand of precision medicine that examines the bidirectional interactions of the genome and nutritional exposures, and attendant health and disease outcomes. This perspectives article presents the new concept of “Nutrigenomics 2.0,” so as to cultivate and catalyze the next generation research and funding priorities for responsible and sustainable knowledge-based innovations. We further contextualize our recent study of the 38 genes included in commercially available nutrigenomics tests, and offer additional context in relation to the 2014 American Academy of Nutrition and Dietetics position. Finally, we make a call in the best interest of the nutrigenomics science community, governments, global society, and commercial nutrigenomics test providers that new evidence evaluation and synthesis platforms are created concerning nutrigenomics tests before they become commercially available. The proposed assessment and synthesis of nutrigenomics data should be carried out on an ongoing dynamic basis with periodic intervals and/or when there is a specific demand for evidence synthesis, and importantly, in ways that are transparent where conflict of interests are disclosed fully by the involved parties, be they scientists, industry, governments, citizens, social scientists, or ethicists. We submit that this will cultivate responsible innovation, and business models that are sustainable, robust, and stand the test of time and context.
机译:营养基因组学是精密医学的重要一环,它检查基因组和营养暴露之间的双向相互作用以及随之而来的健康和疾病后果。该观点文章提出了“ Nutrigenomics 2.0”的新概念,以培育和促进下一代研究和为负责任和可持续的基于知识的创新提供资金的重点。我们进一步将我们最近对市售营养学测试中包含的38个基因的研究进行了背景研究,并提供了有关2014年美国营养与营养学研究院职位的更多背景信息。最后,我们呼吁营养学科学界,政府,全球社会和商业营养学测试提供者的最大利益,即在有关营养学测试的新证据评估和综合平台问世之前,它们已经创建。营养学数据的拟议评估和综合应在持续不断的动态基础上定期进行和/或在有特殊要求进行证据综合时进行,重要的是,在利益冲突由利益相关方充分披露的情况下,采用透明的方式进行。参与方,无论是科学家,企业,政府,公民,社会科学家还是伦理学家。我们认为这将培养负责任的创新以及可持续,强大且经受时间和环境考验的业务模型。

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