# ALL OF US EVENINGS WITH GENETICS RESEARCH EDUCATION PROGRAM

> **NIH NIH OT2** · BAYLOR COLLEGE OF MEDICINE · 2024 · $690,020

## Abstract

The All of Us Evenings with Genetics (EwG) Research Program, funded in part by the NIH All of Us Research Program, engages and trains trainees and faculty to utilize the All of Us database for research projects to advance precision medicine. The program has two core aims: 1) address barriers to research productivity for researchers aspiring to advance in STEM careers and 2) promote use of the All of Us database for research focused on closing health gaps and identifying factors behind variations in health outcomes. To achieve these goals the program implements three key activities: (1) Campus Seminars: hosted virtually at colleges and universities to connect faculty with the All of Us Research Program and showcase ongoing research, (2) Biomedical Researchers (BR) Faculty Summit: a multiday conference for researchers to foster collaboration and train participants in using the All of Us database, and (3) BR Scholars Program: A yearlong initiative supporting research teams formed at the summit in developing and executing projects using All of Us data. During the BR Scholars Program, the All of Us EwG program also offers data science training, mentorship, and professional development to the biomedical researchers.

## Key facts

- **NIH application ID:** 11114433
- **Project number:** 3OT2OD031932-01S3
- **Recipient organization:** BAYLOR COLLEGE OF MEDICINE
- **Principal Investigator:** Brendan Lee
- **Activity code:** OT2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $690,020
- **Award type:** 3
- **Project period:** 2021-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11114433

## Citation

> US National Institutes of Health, RePORTER application 11114433, ALL OF US EVENINGS WITH GENETICS RESEARCH EDUCATION PROGRAM (3OT2OD031932-01S3). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/11114433. Licensed CC0.

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