P105: Assessing breast cancer risk: A comparative analysis of ancestry-adjusted PRS models in women of Ashkenazi Jewish heritage
The ability to predict breast cancer (BC) risk has seen promising advances through the use of polygenic risk scores (PRS), which calculate an individual's genetic predisposition by analyzing multiple genetic variants. However, a critical limitation of current PRS models is their lack of adjustments for individuals from diverse ancestral backgrounds, which can reduce their predictive accuracy for populations outside of those of primarily European descent. In this study, we aimed to improve the accuracy of BC risk prediction for women of Ashkenazi Jewish (AJ) heritage by examining the performance of three PRS models.
Authors
- Matthew Rabinowitz (ORCID: https://orcid.org/0009-0006-3109-4232)
- Kate Im (ORCID: https://orcid.org/0000-0002-4532-1903)
- Premal Shah
- Jiayi Sun
- Jeffrey N. Weitzel (ORCID: https://orcid.org/0000-0001-6714-092X)
- Akash Kumar (ORCID: https://orcid.org/0000-0001-9442-3597)
- Dariusz Ratman
- Placede Tshiaba (ORCID: https://orcid.org/0000-0003-0111-8492)
Institutions
- The University of Kansas Cancer Center (US)
- Depomed (United States) (US)
Publication Details
- Journal
- Genetics in Medicine Open
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.gimo.2025.102949
- Primary Topic
- Nutrition, Genetics, and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00