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

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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403360/
https://www.ncbi.nlm.nih.gov/pubmed/36033590
http://dx.doi.org/10.1016/j.patter.2022.100570
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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.
author_facet 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.
author_sort Ramirez, Andrea H.
collection PubMed
description 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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spelling pubmed-94033602022-08-26 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. Patterns (N Y) Descriptor 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. Elsevier 2022-08-12 /pmc/articles/PMC9403360/ /pubmed/36033590 http://dx.doi.org/10.1016/j.patter.2022.100570 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Descriptor
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.
The All of Us Research Program: Data quality, utility, and diversity
title The All of Us Research Program: Data quality, utility, and diversity
title_full The All of Us Research Program: Data quality, utility, and diversity
title_fullStr The All of Us Research Program: Data quality, utility, and diversity
title_full_unstemmed The All of Us Research Program: Data quality, utility, and diversity
title_short The All of Us Research Program: Data quality, utility, and diversity
title_sort all of us research program: data quality, utility, and diversity
topic Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403360/
https://www.ncbi.nlm.nih.gov/pubmed/36033590
http://dx.doi.org/10.1016/j.patter.2022.100570
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