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The All of Us Research Program: Data quality, utility, and diversity

  1. Author:
    Ramirez, Andrea H
    Sulieman, Lina
    Schlueter, David J
    Halvorson, Alese
    Qian, Jun
    Ratsimbazafy, Francis
    Loperena, Roxana
    Mayo, Kelsey
    Basford, Melissa
    Deflaux, Nicole
    Muthuraman, Karthik N
    Natarajan, Karthik
    Kho, Abel
    Xu, Hua
    Wilkins, Consuelo
    Anton-Culver, Hoda
    Boerwinkle, Eric
    Cicek, Mine
    Clark, Cheryl R
    Cohn, Elizabeth
    Ohno-Machado, Lucila
    Schully, Sheri D
    Ahmedani, Brian K
    Argos, Maria
    Cronin, Robert M
    O'Donnell, Christopher
    Fouad, Mona
    Goldstein, David B
    Greenland, Philip
    Hebbring, Scott J
    Karlson, Elizabeth W
    Khatri, Parinda
    Korf, Bruce
    Smoller, Jordan W
    Sodeke, Stephen
    Wilbanks, John
    Hentges, Justin
    Mockrin,Stephen
    Lunt, Christopher
    Devaney, Stephanie A
    Gebo, Kelly
    Denny, Joshua C
    Carroll, Robert J
    Glazer, David
    Harris, Paul A
    Hripcsak, George
    Philippakis, Anthony
    Roden, Dan M
  2. Author Address

    Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA., All of Us Research Program, National Institutes of Health, Bethesda, MD, USA., Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA., Center for Precision Health Research, Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA., Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA., Verily Life Sciences, San Francisco, CA, USA., Department of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA., Center for Health Information Partnerships, Northwestern University, Chicago, IL, USA., School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA., Department of Medicine, University of California Irvine, Irvine, CA, USA., Department of Epidemiology, Human Genetics, and Environmental Sciences, Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA., Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA., Department of Medicine, Brigham and Women 39;s Hospital, Boston, MA, USA., Hunter-Bellevue School of Nursing, Hunter College City University of New York, New York, NY, USA., Department of Biomedical Informatics, University of California - San Diego Health, La Jolla, CA, USA., Center for Health Policy & Health Services Research, Henry Ford Health System, Detroit, MI, USA., School of Public Health, University of Illinois at Chicago, Chicago, IL, USA., Department of Biomedical Informatics, Internal Medicine, and Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA., Cardiology Section, Department of Medicine, Veterans Administration Boston Healthcare System and Harvard Medical School, Boston, MA, USA., Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA., Institute of Genomic Medicine, Columbia University Medical Center, New York, NY, USA., Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., Center for Precision Medicine, Marshfield Clinic, Marshfield, WI, USA., Cherokee Health Systems, Knoxville, TN, USA., Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA., Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA., Center for Biomedical Research, Tuskegee University, Tuskegee, AL, USA., Sage Bionetworks, Seattle, WA, USA., Leidos, Inc., Frederick, MD, USA., Broad Institute, Boston, MA, USA., Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA.,
    1. Year: 2022
    2. Date: Aug 12
    3. Epub Date: 2022 08 12
  1. Journal: Patterns (New York, N.Y.)
    1. 3
    2. 8
    3. Pages: 100570
  2. Type of Article: Article
  3. Article Number: 100570
  1. Abstract:

    The All of Us Research Program seeks to engage at least one million diverse participants to advance precision medicine and improve human health. We describe here the cloud-based Researcher Workbench that uses a data passport model to democratize access to analytical tools and participant information including survey, physical measurement, and electronic health record (EHR) data. We also present validation study findings for several common complex diseases to demonstrate use of this novel platform in 315,000 participants, 78% of whom are from groups historically underrepresented in biomedical research, including 49% self-reporting non-White races. Replication findings include medication usage pattern differences by race in depression and type 2 diabetes, validation of known cancer associations with smoking, and calculation of cardiovascular risk scores by reported race effects. The cloud-based Researcher Workbench represents an important advance in enabling secure access for a broad range of researchers to this large resource and analytical tools.

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External Sources

  1. DOI: 10.1016/j.patter.2022.100570
  2. PMID: 36033590
  3. PMCID: PMC9403360
  4. PII : S2666-3899(22)00181-7

Library Notes

  1. Fiscal Year: FY2021-2022
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