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
Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
Patterns (N Y). 2022 Aug 12;3(8):100570. doi: 10.1016/j.patter.2022.100570.
The 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.
该研究项目旨在吸引至少100万名不同的参与者,以推进精准医学并改善人类健康。我们在此介绍基于云的研究人员工作台,它使用数据护照模型,使研究人员能够平等地使用分析工具以及包括调查、身体测量和电子健康记录(EHR)数据在内的参与者信息。我们还展示了针对几种常见复杂疾病的验证研究结果,以证明这个新平台在31.5万名参与者中的应用情况,其中78%的参与者来自生物医学研究中历史上代表性不足的群体,包括49%自我报告为非白人种族的参与者。重复研究结果包括抑郁症和2型糖尿病中不同种族的用药模式差异、已知癌症与吸烟关联的验证,以及根据报告的种族效应计算心血管风险评分。基于云的研究人员工作台代表了一项重要进展,它使广大研究人员能够安全地访问这一庞大资源和分析工具。