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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9403360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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