University of Arizona & Banner Health Pharmacogenomics Global Research Network (PGRN) seed grant request for proposals using All of Us Research Program data Dates: Informational Meeting/Q&A: October 28, 2 p.m. MST (Optional) Zoom link register Submission Deadline: December 2, 2024; 5 p.m. MST Award Announcements: December 20, 2024 Award Period (Up to 6 months): January 1, 2025–August 31, 2025 Award Amount: Not to exceed $40,000 per award, inclusive of indirect costs Details: Administrators: University of Arizona (UArizona)-Banner Health Seed Grant Coordinator: Jennifer Smith, Program Manager at UArizona-Banner Health Category: UArizona-Banner Health NIH-Funded OTA Award Multi-PI applications allowed: Yes Submit proposals via email to: aou-research@email.arizona.edu Introduction and Background: Supported by the National Institutes of Health’s All of Us Research Program, the University of Arizona-Banner Health, seeks to identify and empower research projects that use All of Us data through seed grants. UArizona-Banner Health intends to fund up to three seed grant proposals providing up to $40,000 (inclusive of indirect costs) per award to cover personnel, computational, and data storage costs associated with scientific aims that leverage All of Us data. These seed grants are open to investigators from institutions in the United States and its territories that have a Data Use and Registration Agreement (DURA) in place with the All of Us (see “About the All of Us Researcher Workbench” below). The seed grants are designed to jump-start projects that leverage and interrogate All of Us data. About the All of Us Research Program The National Institutes of Health's All of Us Research Program is a historic effort to collect and study data from a million or more people living in the United States and its territories. The goal of All of Us is to speed up health research discoveries, enabling new kinds of individualized health care. To make this possible, the program is building one of the world’s largest and most diverse databases for health research. The program seeks for its participant cohort to reflect the diversity of the United States and its territories and to include individuals from groups that have been underrepresented in health research in the past. About the All of Us Researcher Workbench The All of Us dataset is stored on the Researcher Workbench, a secure, cloud-based platform. The program offers tiered access to the data. There are three tiers of access: 1) Public Tier through the interactive Data Browser; 2) Registered Tier, which includes individual-level data from electronic health records (EHR), wearables, and surveys, as well as physical measurements; and 3) Controlled Tier, which includes data available on the Registered Tier, as well as genomic data and expanded demographic, survey, and EHR data. In the Researcher Workbench’s Controlled Tier, registered researchers can combine genomic data shared by the participant cohort with data from other sources to launch a wide variety of studies. Researchers’ institutions must first have DURAs in place with All of Us before they can register to use the Researcher Workbench’s Registered and Controlled Tiers. Your institution must have a DURA in place with All of Us Research Program before you apply for a seed grant. You can search or browse the list of registered institutions to confirm if your institution has a DURA in place and the data available to you based on Registered or Controlled Tier access This grant announcement solicits proposals to pursue seed grants to inform two objectives: 1) Encourage investigators to leverage All of Us data to: a. Conduct studies using All of Us data relevant to investigator-specific research question(s) and study aims, including both clinical and/or omics studies using the Controlled and/or Registered Tiers b. Prepare peer-reviewed publications and disseminate findings c. Engage and develop an active research investigator cohort in our region and with community partners 2) Participate as research partners in continuous improvement regarding access to and use of the All of Us support resources. Findings and feedback from seed grant study investigators will inform All of Us staff in further developing resources for technical assistance. We will conduct monthly meetings with all awardees and support staff to facilitate a community around All of Us-based research and discovery. Description: UArizona-Banner Health intends to fund between one and three seed grants across a range of clinical and public health subtopics associated with scientific aims that leverage the Researcher Workbench. These seed grants may be single or multi-investigator awards providing up to $40,000 (inclusive of indirect costs) per competitive grant awarded. Our expectation at the conclusion of the award is for the seed grants to lead to peer-reviewed publications and dissemination. (See some example publications resulting from All of Us data.) Possible approaches include, but are not limited to: ● The use of participant-provided health information (validated survey instruments) and EHR data to investigate original research questions, to validate existing epidemiological and/or clinical evidence, and to demonstrate potential for novel approaches and analyses in the diverse All of Us dataset ● The discovery of new genetic variants, genome-wide and phenome-wide association studies, and/or polygenic risk scores ● Studies of genetic influences versus social influences and how those impact health ● Proposals to support lines of inquiry on health questions for/with underserved, vulnerable, and minoritized populations, such as racial and ethnic minoritized groups and sexual and gender minoritized groups Eligibility This AoU Seed Grant is open to Principal Investigators who are members of the Pharmacogenomics Global Research Network (PGRN) and from any institution in the United States with a fully executed Data Use and Registration Agreement (DURA). Collaborative grants that include investigators from multiple institutions with DURAs are allowed. A list of institutions with active, approved DURAs can be found here. Applications will be peer-reviewed and scored using the following criteria: a) Commitment to advance scholarly research and dissemination of results through peer-reviewed publication in keeping with the aims of All of Us b) Feasibility assessment of study question(s)/aims relative to identification of All of Us descriptive statistics/data categories from Public Tier summary data c) Overall significance and merit of proposal d) Consistency of project with All of Us core values, data security policies, and privacy and trust principles, including prohibition of stigmatizing research and re-identification of participants e) Evidence key personnel are experienced and qualified to conduct the study Use of the Funds Funds for awarded seed grant projects will be distributed as subawards to the NIH-funded UArizona-Banner Health researcher engagement award (OT2OD036485-01s1). Time required to establish a subaward may delay the initial start of projects. Collaborative grants that include investigators from multiple institutions with DURAs are allowed, but additional subaward processing times may be encountered. As funds originate from NIH, institution-specific NIH rates for indirect costs apply unless exemptions are acquired. The $40,000 grant amount includes institutional indirect costs, which should be reflected in the submitted budget. The following provides a list of generally allowable costs: ● Indirect costs at Institution-specific NIH rates (inclusive of $40,000 total award amount) ● Effort for PI(s) (Current NIH Salary Cap Applies) ● Effort for other key personnel and non-key personnel supporting research aims o Please note that, if needed, statistical analyst, bioinformatician, and/or health informatician effort will be available at no cost to the seed grant award budget and available effort distributed based on need across funded projects (approximately 0.25 FTE per project during the budget period). This support will aid seed grant awardees to navigate Researcher Workbench operations, data availability, programming, computational cost estimation and reduction, and other services. Additionally, UArizona-Banner Health staff, program management staff, and individuals experienced in the Researcher Workbench are available for consultations throughout the award period. ● Computational and data storage costs o Example costs are included in the draft budget (see example budget). $300 in computational credits are currently provided to all new Researcher Workbench users. The following provides a partial list of nonallowable costs: ● Experimental reagents and consumable research supplies o Due to the nature of research on the Researcher Workbench, these costs are not expected and will not be permitted without sufficient and compelling justification. ● Graduate tuition remission o Graduate student effort is allowable. ● Equipment ● Domestic and international travel costs ● Cost for personnel from additional external institutions ● Peer review publication or open access fees ● Any unallowable costs listed in NIH Grants policy 14.10.2 (https://grants.nih.gov/grants/policy/nihgps/html5/section_14/14.10_allowable_and_unallowable_costs.htm) Funds should be expended between January 1 and August 31, 2025. Timeline: December 2, 2024 Proposals due by 5 p.m. MST December 20, 2024 Funding decisions communicated January 1, 2025 Earliest budget period start date; funds available for expenditure August 31, 2025 Latest budget period end date; all funds must be expended. Proposal Format Proposal narratives must not exceed four (4) pages (single-spaced, 11-point font (smallest), 0.5-inch margins). Suggested fonts: Arial, Times New Roman, Calibri, or Tahoma. Reduced, legible font sizes in figures and legends are acceptable. All documents, except the budget sheet, should be saved and submitted as PDF files. The budget sheet should be submitted as an editable Excel document.
Submit proposals to aou-research@email.arizona.edu with the subject line: All of Us seed grant proposal_PILastName
For questions, feedback, support contact: ● Jason Karnes, PharmD, PhD, BCPS, FAHA, FCCP, Director of Scientific Programs, All of Us University of Arizona-Banner Health, karnes@arizona.edu ● Vignesh Subbian, PhD, Associate Director of Health Data Science and Research, Center for Biomedical Informatics & Biostatistics, vsubbian@arizona.edu ● Jennifer Smith, MS, Program Manager, aou-research@email.arizona.edu |