Polygenic risk score portability for common diseases across genetically diverse populations
Our work comprehensively evaluated PRS accuracy across a wide range of phenotypes, reducing the uncertainty with respect to which PRS model to choose and in which ancestry group. This evaluation has let us identify specific conditions where implementing risk-prioritization strategies could have practical utility across diverse ancestral groups, contributing to democratizing the implementation of PRS.
Authors
- Míriam Barrabés
- Babak Moatamed (ORCID: https://orcid.org/0000-0001-9934-6893)
- Alexander Ioannidis
- Consuelo D. Quinto-Cortés (ORCID: https://orcid.org/0000-0002-0338-3321)
- Carlos D. Bustamante (ORCID: https://orcid.org/0000-0002-4187-7920)
- Tomohiro Takano (ORCID: https://orcid.org/0000-0003-4267-1147)
- Nicholas Katsanis (ORCID: https://orcid.org/0000-0002-2480-0171)
- Kensuke Numakura
- Jeffrey D. Wall (ORCID: https://orcid.org/0000-0001-5066-1235)
- Yuta Matsuda
- Daniel Mas Montserrat (ORCID: https://orcid.org/0000-0002-7946-7724)
- Ming Ta Michael Lee (ORCID: https://orcid.org/0000-0003-2510-8977)
- Sonia Moreno–Grau (ORCID: https://orcid.org/0000-0001-8072-6028)
- Arturo López Pineda (ORCID: https://orcid.org/0000-0002-3409-1815)
- Manvi Vernekar (ORCID: https://orcid.org/0000-0002-1800-4611)
- Zhenning Yu (ORCID: https://orcid.org/0000-0002-5488-1523)
Institutions
- Human Genome Sciences (United States) (US)
- University of California, Santa Cruz (US)
- Universidad de Morelia (MX)
- NewLink Genetics (United States) (US)
- BioStrategies (United States) (US)
- Meguro Parasitological Museum (JP)
- Universidad Nacional Autónoma de México (MX)
- Stanford University (US)
Publication Details
- Journal
- Human Genomics
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1186/s40246-024-00664-y
- Citations
- 31
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 17.06
Funders
- New Energy and Industrial Technology Development Organization