Comparative genetic analysis reveals improved breast cancer risk prediction using chromosomal length variation over single nucleotide variants, indicating ancestry-specific model performance.
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.
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Fatapour et al. (2025) studied this question.
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