Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Genomic data in the All of Us Research Program

Manuscript Writing Group, Alexander G. Bick, Ginger Metcalf, Kelsey Mayo, Lee Lichtenstein, Shimon Rura, Robert J. Carroll, Anjene Musick, Jodell E. Linder, I. King Jordan, Shashwat Deepali Nagar, Shivam Sharma, Robert Meller, Melissa Basford, Eric Boerwinkle, Mine Cicek, Kimberly F. Doheny, Evan E. Eichler, Stacey Gabriel, Richard A. Gibbs, David Glazer, Paul A. Harris, Gail P. Jarvik, Anthony Philippakis, Heidi L. Rehm, Dan M. Roden, Stephen N. Thibodeau, Scott Topper, Biobank, Mayo, Ashley L. Blegen, Samantha J. Wirkus, Victoria A. Wagner, Jeffrey G. Meyer, Mine Cicek, Donna M. Muzny, Eric Venner, Michelle Mawhinney, Sean Griffith, Elvin Hsu, Hua Ling, Marcia K. Adams, Kimberly Walker, Taobo Hu, HarshaVardhan Doddapaneni, Christie Kovar, Mullai Murugan, Shannon Dugan, Ziad Khan, Eric Boerwinkle, Niall J. Lennon, Christina Austin‐Tse, Eric Banks, Michael Gatzen, Namrata Gupta, Emma Henricks, Katie Larsson, Sheli McDonough, Steven M. Harrison, Christopher Kachulis, Matthew S. Lebo, Cynthia L. Neben, Marcie Steeves, Alicia Y. Zhou, Joshua D. Smith, Christian D. Frazar, Colleen Davis, Karynne Patterson, Marsha M. Wheeler, Sean McGee, Christina M. Lockwood, Brian H. Shirts, Colin C. Pritchard, Mitzi L. Murray, Valeria Vasta, Dru F. Leistritz, M Richardson, Jillian G. Buchan, Aparna Radhakrishnan, Niklas Krumm, Brenna Ehmen, Sophie Schwartz, M. Morgan T. Aster, Kristian Cibulskis, Andrea Haessly, Rebecca Asch, Aurora Cremer, Kylee Degatano, Akum Shergill, Laura D. Gauthier, Samuel K. Lee, Aaron Hatcher, George Grant, Genevieve R. Brandt, Miguel Covarrubias, Eric Banks, Ashley Able, Ashley E. Green, Robert J. Carroll, Jennifer Zhang, Henry Robert Condon

Nature · 2024

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Summary

The All of Us Research Program released genomic data from 245,388 clinical-grade genome sequences with exceptional demographic diversity (77% from historically under-represented communities, 46% from under-represented racial and ethnic minorities). The dataset identified over 1 billion genetic variants, including 275 million novel variants, and demonstrated high replication rates for disease associations across ancestry groups. This resource aims to advance genomic medicine equity by providing publicly accessible summary-level data and researcher access through a streamlined approval pathway.

UK applicability

Whilst this cohort is United States-based, the findings on genetic variant diversity and disease replication across ancestry groups have potential applicability to UK precision medicine initiatives and NHS genomics programmes. However, UK researchers would need to assess whether findings replicate in UK populations and consider ancestry-specific differences in allele frequencies.

Key measures

Number of genome sequences (245,388); genetic variants identified (>1 billion); previously unreported variants (>275 million); coding variants (>3.9 million); genetic variants associated with disease (3,724); diseases evaluated (117); replication rates across European and African ancestry participants; time to data access (median 29 hours)

Outcomes reported

The study released clinical-grade genome sequences from 245,388 participants and identified over 1 billion genetic variants, including 275 million previously unreported variants. Using linkage with electronic health records, the researchers evaluated 3,724 genetic variants associated with 117 diseases, achieving high replication rates across ancestry groups.

Theme
Measurement & metrics
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Human clinical
DOI
10.1038/s41586-023-06957-x
Catalogue ID
BFmoso8xrl-azustn

Topic tags

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