Workshop: Making All of Us for all of us: Exploring how the All of Us genomic dataset has grown

Includes a Live Web Event on 11/20/2024 at 12:00 PM (EST)

  • Register
    • Regular Member - $40
    • Early Career Member - $20
    • Resident/Clinical Fellow Member - $20
    • Postdoctoral Fellow Member - $20
    • Graduate Student Member - $20
    • Undergraduate Student Member - $20
    • Emeritus Member - $20
    • Life Member - $40
    • Trainee Member - $20
    • Nonmember - $55

The NIH’s All of Us Research Program is committed to collecting multiple types of health data from a million or more participants to create a diverse research resource that accelerates precision medicine. The All of Us Researcher Workbench is the free-to-access secure, cloud-based platform where registered researchers from both US-based and international intuitions access and analyze data using Python, R, or SAS coding languages. Currently the program has over 413,000 program participants with >245,000 whole genome sequence (WGS) samples and >314,000 genotyping arrays. Looking forward, we anticipate counts for both WGS and arrays to surpass 400,000 before November 2024. The genomic data is combined with many types of phenotypic and auxiliary data types including electronic health records (EHR), survey data, physical measurements, and mobile health data (Fitbit). This session will 1) provide an interactive, guided demonstration of the public facing genomic tools, including the new PheWAS x GWAS data browser 2) provide an interactive, guided demonstration of our cloud computing platform, the Researcher Workbench 3) provide participants a hands-on opportunity to replicate a research study with new genomic data types including structural variant and long reads data and 4) conduct an interactive Q&A session to engage attendees about the All of Us Researcher Workbench and the novel technology implemented to conduct genomic analyses.

Key:

Complete
Failed
Available
Locked
Live Workshop
11/20/2024 at 12:00 PM (EST)  |  120 minutes
11/20/2024 at 12:00 PM (EST)  |  120 minutes