Abstract The multimodal data assembled through All of Us Research Program with enriched recruitment of populations underrepresented in biomedical research have provided a rich resource for equitable health research. The complexity of the All of Us research platform, however, is a common hurdle at the initiation of studies. This tutorial aims to demonstrate to researchers a practical, transparent and reproducible workflow for streamlining data curation and analysis. This tutorial covers modules: (1) design of All of Us studies; (2) selecting study cohort; (3) curating multimodal data (electronic health records, surveys, genomics, and wearable devices); (4) harmonizing disease onset outcomes in risk models. We showcased the proposed workflow using a case study for genetic risk prediction of rheumatoid arthritis for minority race/ethnicity groups. Step-by-step guides are provided in the supplementary materials and the online repository with links to SQL/R/Python example code and All of Us user interface operations.
Kang et al. (Sat,) studied this question.