TY - JOUR
T1 - The All of Us Research Program
T2 - Data quality, utility, and diversity
AU - the All of Us Research Program
AU - Ramirez, Andrea H.
AU - Sulieman, Lina
AU - Schlueter, David J.
AU - Halvorson, Alese
AU - Qian, Jun
AU - Ratsimbazafy, Francis
AU - Loperena, Roxana
AU - Mayo, Kelsey
AU - Basford, Melissa
AU - Deflaux, Nicole
AU - Muthuraman, Karthik N.
AU - Natarajan, Karthik
AU - Kho, Abel
AU - Xu, Hua
AU - Wilkins, Consuelo
AU - Anton-Culver, Hoda
AU - Boerwinkle, Eric
AU - Cicek, Mine
AU - Clark, Cheryl R.
AU - Cohn, Elizabeth
AU - Ohno-Machado, Lucila
AU - Schully, Sheri D.
AU - Ahmedani, Brian K.
AU - Argos, Maria
AU - Cronin, Robert M.
AU - O'Donnell, Christopher
AU - Fouad, Mona
AU - Goldstein, David B.
AU - Greenland, Philip
AU - Hebbring, Scott J.
AU - Karlson, Elizabeth W.
AU - Khatri, Parinda
AU - Korf, Bruce
AU - Smoller, Jordan W.
AU - Sodeke, Stephen
AU - Wilbanks, John
AU - Hentges, Justin
AU - Mockrin, Stephen
AU - Lunt, Christopher
AU - Devaney, Stephanie A.
AU - Gebo, Kelly
AU - Denny, Joshua C.
AU - Carroll, Robert J.
AU - Glazer, David
AU - Harris, Paul A.
AU - Hripcsak, George
AU - Philippakis, Anthony
AU - Roden, Dan M.
AU - Ahmedani, Brian
AU - Zwick, Michael E.
N1 - Publisher Copyright: © 2022
PY - 2022/8/12
Y1 - 2022/8/12
N2 - 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.
AB - 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.
KW - All of Us Research Program
KW - DSML 4: Production: Data science output is validated, understood, and regularly used for multiple domains/platforms
KW - cloud-based analytics
KW - cohort study
KW - electronic health records
KW - precision medicine
UR - http://www.scopus.com/inward/record.url?scp=85135943979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135943979&partnerID=8YFLogxK
U2 - 10.1016/j.patter.2022.100570
DO - 10.1016/j.patter.2022.100570
M3 - Article
SN - 2666-3899
VL - 3
JO - Patterns
JF - Patterns
IS - 8
M1 - 100570
ER -