Generated by GPT-5-mini| All of Us Research Program | |
|---|---|
| Name | All of Us Research Program |
| Established | 2015 |
| Founder | Barack Obama |
| Mission | Precision medicine cohort for research |
| Location | Bethesda, Maryland |
All of Us Research Program The All of Us Research Program is a United States national initiative to build a large-scale cohort for precision medicine, collecting health data, biological samples, and electronic health records to accelerate research. It aims to include participants from diverse backgrounds to enable studies across diseases, treatments, and populations, facilitating discoveries that can inform clinical practice and public health. The program engages with academic institutions, federal agencies, patient advocacy groups, and private partners to recruit, retain, and provide researchers with access to de-identified data.
The program operates as a longitudinal cohort initiative drawing participants across the United States with coordination among agencies such as the National Institutes of Health, the National Cancer Institute, and the National Human Genome Research Institute, and partners including Mayo Clinic, Vanderbilt University Medical Center, and Scripps Research Translational Institute. It integrates electronic health records from systems like Kaiser Permanente, biobanking procedures similar to those at the Broad Institute, and genomic analysis pipelines used by centers such as Illumina and 23andMe collaborators. Participant engagement strategies reference community models developed by organizations like American Cancer Society, Susan G. Komen, and American Heart Association.
Initiated in the mid-2010s following a precision medicine call to action by Barack Obama, the program expanded under the auspices of the Department of Health and Human Services and through grants managed by the National Institutes of Health. Early pilot projects drew on cohort designs from studies such as the Framingham Heart Study, the Nurses' Health Study, and the UK Biobank to create scalable enrollment and data linkage approaches. Implementation involved collaborations with contractors experienced in large-scale data projects including IBM, Google Cloud, and academic consortia like Partners HealthCare and Columbia University Irving Medical Center.
Enrollment strategies emphasize inclusion of underrepresented groups reflecting lessons from the Tuskegee Syphilis Study debates and guidance from the Belmont Report. Outreach has partnered with tribal nations including leaders associated with the Navajo Nation and health systems such as Indian Health Service to improve representation. Community advisory boards include stakeholders from AARP, NAACP, League of United Latin American Citizens, and disability advocacy organizations like American Association of People with Disabilities. Recruitment channels have ranged from health system referrals at Cleveland Clinic and Johns Hopkins Hospital to community events with organizations such as YMCA and faith-based networks linked to United Methodist Church congregations.
The program collects multiple data modalities: electronic health records sourced from health systems including Mount Sinai Health System, wearable device data comparable to those used by Fitbit and Apple Inc., genomic sequences using platforms analogous to Illumina NovaSeq, and biospecimens processed in biorepositories modeled on the Broad Institute and Fred Hutchinson Cancer Research Center. Surveys incorporate instruments similar to those used by the Behavioral Risk Factor Surveillance System and cohorts like the Women's Health Initiative. Imaging data acquisition follows protocols seen at institutions such as Massachusetts General Hospital and Stanford Health Care.
Privacy frameworks cite standards from the Health Insurance Portability and Accountability Act and security practices aligned with guidance from the National Institute of Standards and Technology and the Office for Civil Rights (OCR). Ethical oversight includes consults with institutional review boards at Johns Hopkins Bloomberg School of Public Health, bioethics inputs inspired by work at Harvard Medical School, and community review mechanisms reflecting recommendations from the National Academies of Sciences, Engineering, and Medicine. Data access models balance open science priorities like those advocated by Wellcome Trust with controlled-access protocols used by repositories such as the Database of Genotypes and Phenotypes.
Researchers supported by the program have leveraged data for studies in conditions researched at centers including the Mayo Clinic and Massachusetts General Hospital, producing analyses relevant to precision oncology akin to efforts at the Dana-Farber Cancer Institute, cardiology studies resonant with work at the Framingham Heart Study, and pharmacogenomics projects paralleling initiatives at Stanford University School of Medicine. The dataset enables collaborations with consortia such as the Global Alliance for Genomics and Health and contributes to translational pipelines similar to those at National Cancer Institute cooperative groups and international efforts like the 100,000 Genomes Project.
Governance involves stakeholders from the National Institutes of Health, advisory boards with representation from institutions such as University of California, San Francisco, and partnerships with private entities including Google Cloud and Microsoft. Funding sources include Congressional appropriations administered through the Department of Health and Human Services and grant mechanisms managed by the National Institutes of Health, with supplemental support modeled after public–private partnerships seen in initiatives like the Accelerating Medicines Partnership.
Category:Biobank studies