Improved breast cancer risk prediction using chromosomal-scale length variation
In conclusion, we found that this method of computing genetic risk scores for breast cancer is a substantial improvement over SNP-based polygenic risk scores. In addition, we compared models trained on populations of only White women and only Black women. We found that the models trained only on White women performed better than models trained only on Black women when tested on only White women. We did not see a significant difference between the two models when tested on only Black women.
Authors
- James P. Brody (ORCID: https://orcid.org/0000-0002-7995-5197)
- Yasaman Fatapour (ORCID: https://orcid.org/0000-0001-8660-1621)
Institutions
- University of California, Irvine (US)
- Irvine University (US)
Publication Details
- Journal
- Human Genomics
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1186/s40246-025-00776-z
- Citations
- 1
- Primary Topic
- Genomic variations and chromosomal abnormalities
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- National Institutes of Health