Abstract

The National Institutes of Health's All of Us Research Program is collecting data from one million or more participants throughout the U.S. to advance precision medicine. The program enrolls individuals from diverse backgrounds with a focus on groups that are traditionally under-represented in biomedical research. The spring 2023 curated dataset release makes All of Us the world's largest and most diverse dataset of its kind available for broad research use, with nearly 45% of the data from people who identify with a racial or ethnic minority group. The expanded phenotypic data includes survey data from 413,396 participants and electronic health record data from 287,012 participants that can be used to study diabetes and other metabolic disorders. The platform supports Jupyter notebooks to build queries using R or Python3, as well as custom interface tools that allow identification of data and health conditions within the large relational database using the OMOP common data model. Currently, the dataset includes 33,849 participants with at least one T2D condition code, one T2D drug exposure, or one T2D lab result, excluding T1D condition codes. We will discuss the utility of this expansive dataset for T2D researchers and participants, and its potential to answer critical questions about metabolic health outcomes. Disclosure E. Dede yildirim: None. L. Sulieman: None. J. Giannini: None. Y. Ostchega: None. E. Ochsenfaber: None. L. Berman: None. A. Ramirez: n/a.

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