October 7, 2020
Office of Strategic Coordination (Common Fund)
Recently, a new NIH precision nutrition research initiative concept called “Nutrition for Precision Health, powered by the All of Us Research Program (NPH)” was presented at NIH Council of Councils. The archived videocast of the Council of Councils meeting is publicly available and can be viewed here (Nutrition for Precision Health discussion begins at 1:54:00). Slides and a brief write-up are also available. This initiative is being refined and developed by NIH for potential implementation in Fiscal Year 2022. The field of precision nutrition, a subset of precision medicine, is to provide more precise and dynamic nutritional recommendations than currently possible through population-wide guidance. To advance this field, research is needed to achieve a deeper understanding of the interplay of human biological systems with the wide variety of factors known to underlie interindividual differences in dietary responses. Individual differences in genetics, epigenetics, microbiome ecologies, biology, nutritional status, behaviors, environments, and socioeconomic influences and disparities may influence these interrelationships; however, their relative importance for driving interindividual variability and predictive values to make precision nutrition recommendations is unclear. NPH posits that insight into these factors can be gained using non-targeted “Omic” approaches (including genomics, epigenomics, proteomics, metabolomics, transcriptomics, metagenomics, etc.) and other targeted inputs (including continuous or discontinuous metabolic, endocrinologic, physiological, cognitive and behavioral measures, surveys, questionnaires, electronic health records, data from social media apps and wearable devices, and community/environmental data, etc.). According to the cleared concept, the data will be broadly accessible in the All of Us Researcher Workbench, which currently supports use of two open-source computer languages, R and Python.
To accomplish the NPH vision, areas of systems science, data science, and computational analytics will be needed. To help identify the gaps and priorities in these areas of systems science and artificial intelligence, the trans-NIH Nutrition for Precision Health Working Group is seeking input from the broad scientific community on the specific needs to help prioritize research activities or community resources that are most likely to propel this field forward for the greater benefit of biomedical research.
This RFI seeks input from individuals and stakeholders throughout the scientific research community and the public regarding any of the following topics:
How to submit
Responses to this RFI must be submitted electronically to email@example.com. Responses must be received by 11:59 p.m. on Nov 15, 2020 Responses to this RFI are voluntary. Do not include any proprietary, classified, confidential, trade secret, or sensitive information in your response.
No forms are required for submission.
The responses will be reviewed by NIH staff, and individual feedback will not be provided to any responder. The Government will use the information submitted in response to this RFI at its discretion. The Government reserves the right to use any submitted information on public NIH websites, in reports, in summaries of the state of the science, in any possible resultant solicitation(s), grant(s), or cooperative agreement(s), or in the development of future funding opportunity announcements.
This RFI is for information and planning purposes only and shall not be construed as a solicitation, grant, or cooperative agreement, or as an obligation on the part of the Federal Government, the NIH, or individual NIH Institutes and Centers to provide support for any ideas identified in response to it. The Government will not pay for the preparation of any information submitted or for the Government’s use of such information. No basis for claims against the U.S. Government shall arise as a result of a response to this request for information or from the Government’s use of such information.
NIH looks forward to your input and we hope that you will share this RFI document with your colleagues.