AoUPRS: A cost-effective and versatile PRS calculator for the All of Us Program
AoUPRS enables efficient and cost-effective PRS computation within AoU, providing substantial cost savings while maintaining highly consistent PRS estimates. These findings support the use of AoUPRS for large-scale genomic risk assessment, making the AoU dataset more accessible and practical for diverse research applications. The tool's open-source availability on GitHub, coupled with detailed documentation and tutorials, ensures accessibility and ease of use for the scientific community.
Authors
- Ali Torkamani (ORCID: https://orcid.org/0000-0003-0232-8053)
- Shang‐Fu Chen (ORCID: https://orcid.org/0000-0001-5467-288X)
- Ahmed Khattab (ORCID: https://orcid.org/0000-0002-7253-199X)
- Nathan E. Wineinger (ORCID: https://orcid.org/0000-0003-4517-228X)
Institutions
- Scripps Research Institute (US)
- Scripps Institution of Oceanography (US)
- Torrey Pines Institute For Molecular Studies (US)
- Scripps (United States) (US)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1186/s12864-025-11693-9
- Citations
- 2
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 3.63
Funders
- National Institutes of Health