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

Authors :
Dan M. Roden
Cheryl R. Clark
Hoda Anton-Culver
Melissa A. Basford
Parinda Khatri
Mona N. Fouad
Stephen O. Sodeke
Paul A. Harris
Joshua C. Denny
Consuelo H. Wilkins
Robert M. Cronin
Mine S. Cicek
Scott J. Hebbring
Jun Qian
John Wilbanks
Karthik N. Muthuraman
David Goldstein
Lucila Ohno-Machado
Kelsey R. Mayo
Lina Sulieman
Roxana Loperena
Nicole A. Deflaux
Kelly Gebo
Abel N. Kho
Philip Greenland
Eric Boerwinkle
Anthony Philippakis
George Hripcsak
Brian K. Ahmedani
Stephanie A. Devaney
Elizabeth W. Karlson
David J. Schlueter
Maria Argos
Justin Hentges
Elizabeth Cohn
Karthik Natarajan
Alese E. Halvorson
Christopher J. O'Donnell
Bruce R. Korf
David Glazer
Jordan W. Smoller
Francis Ratsimbazafy
Hua Xu
Robert J. Carroll
Christopher Lunt
Sheri D. Schully
Andrea H. Ramirez
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

ImportanceThe All of Us Research Program hypothesizes that accruing one million or more diverse participants engaged in a longitudinal research cohort will advance precision medicine and ultimately improve human health. Launched nationally in 2018, to date All of Us has recruited more than 345,000 participants. All of Us plans to open beta access to researchers in May 2020.ObjectiveTo demonstrate the quality, utility, and diversity of the All of Us Research Program’s initial data release and beta launch of the cloud-based analysis platform, the cloud-based Researcher Workbench.EvidenceWe analyzed the initial All of Us data release, comprising surveys, physical measurements (PM), and electronic health record (EHR) data, to characterize All of Us participants including self-reported descriptors of diversity. Data depth, density, and quality were evaluated using medication sequencing analyses for depression and type 2 diabetes. Replication of known oncologic associations with smoking exposure ascertained by EHR and survey data and calculation of population-based atherosclerotic cardiovascular disease risk scores demonstrated the utility of data and platform capability.FindingsThe beta launch of the All of Us Researcher Workbench contains data on 224,143 participants. Seventy-seven percent of this cohort were identified as Underrepresented in Biomedical Research (UBR) including over forty-eight percent self-reporting non-White race. Medication usage patterns in common diseases depression and type 2 diabetes replicated prior findings previously reported in the literature and showed differences based on race. Oncologic associations with smoking were replicated and effect sizes compared for EHR and survey exposures finding general agreement. A cardiovascular disease score was calculated utilizing multiple data elements curated across sources. The cloud-based architecture built in the Researcher Workbench provided secure access and powerful computational resources at a low cost. All analyses have been made available for replication and reuse by registered researchers.Conclusions and RelevanceThe All of Us Research Program’s initial release of cohort data contains longitudinal and multidimensional data on diverse participants that replicate known associations. This dataset and the cloud-based Researcher Workbench advance the mission of All of Us to make data widely and securely available to researchers to improve human health and advance precision medicine.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....7ecfdde0152096e4235397cc9c277b53
Full Text :
https://doi.org/10.1101/2020.05.29.20116905