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The All of Us Research Program: Data quality, utility, and diversity.
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.
Afiliação
  • Ramirez AH; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Sulieman L; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Schlueter DJ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Halvorson A; Center for Precision Health Research, Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Qian J; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Ratsimbazafy F; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Loperena R; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Mayo K; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Basford M; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Deflaux N; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Muthuraman KN; Verily Life Sciences, San Francisco, CA, USA.
  • Natarajan K; Verily Life Sciences, San Francisco, CA, USA.
  • Kho A; Department of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA.
  • Xu H; Center for Health Information Partnerships, Northwestern University, Chicago, IL, USA.
  • Wilkins C; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Anton-Culver H; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Boerwinkle E; Department of Medicine, University of California Irvine, Irvine, CA, USA.
  • Cicek M; 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.
  • Clark CR; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • Cohn E; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Ohno-Machado L; Hunter-Bellevue School of Nursing, Hunter College City University of New York, New York, NY, USA.
  • Schully SD; Department of Biomedical Informatics, University of California - San Diego Health, La Jolla, CA, USA.
  • Ahmedani BK; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Argos M; Center for Health Policy & Health Services Research, Henry Ford Health System, Detroit, MI, USA.
  • Cronin RM; School of Public Health, University of Illinois at Chicago, Chicago, IL, USA.
  • O'Donnell C; Department of Biomedical Informatics, Internal Medicine, and Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Fouad M; Cardiology Section, Department of Medicine, Veterans Administration Boston Healthcare System and Harvard Medical School, Boston, MA, USA.
  • Goldstein DB; Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Greenland P; Institute of Genomic Medicine, Columbia University Medical Center, New York, NY, USA.
  • Hebbring SJ; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Karlson EW; Center for Precision Medicine, Marshfield Clinic, Marshfield, WI, USA.
  • Khatri P; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Korf B; Cherokee Health Systems, Knoxville, TN, USA.
  • Smoller JW; Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Sodeke S; Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Wilbanks J; Center for Biomedical Research, Tuskegee University, Tuskegee, AL, USA.
  • Hentges J; Sage Bionetworks, Seattle, WA, USA.
  • Mockrin S; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Lunt C; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Devaney SA; Leidos, Inc., Frederick, MD, USA.
  • Gebo K; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Denny JC; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Carroll RJ; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Glazer D; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
  • Harris PA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Hripcsak G; Verily Life Sciences, San Francisco, CA, USA.
  • Philippakis A; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Roden DM; Department of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA.
Patterns (N Y) ; 3(8): 100570, 2022 Aug 12.
Article em En | MEDLINE | ID: mdl-36033590
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Patterns (N Y) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Patterns (N Y) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos