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1. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

2. Transcriptome-wide association study of breast cancer risk by estrogen-receptor status

3. HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures

4. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

5. Somatic mutations reveal asymmetric cellular dynamics in the early human embryo

6. FANCM mutation c.5791C>T is a risk factor for triple-negative breast cancer in the Finnish population

7. Landscape of somatic mutations in 560 breast cancer whole-genome sequences

8. BRCA2 Polymorphic Stop Codon K3326X and the Risk of Breast, Prostate, and Ovarian Cancers

9. The topography of mutational processes in breast cancer genomes

10. Inheritance of deleterious mutations at both BRCA1 and BRCA2 in an international sample of 32,295 women

11. Frequent somatic transfer of mitochondrial DNA into the nuclear genome of human cancer cells

12. Candidate genetic modifiers for breast and ovarian cancer risk inBRCA1andBRCA2 mutation carriers

13. Refined histopathological predictors of BRCA1 and BRCA2 mutation status: A large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

14. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

15. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

16. Mutational processes molding the genomes of 21 breast cancers

17. Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers

18. Exploring the link between MORF4L1 and risk of breast cancer

19. Genetic variation at 9p22.2 and ovarian cancer risk for BRCA1 and BRCA2 mutation carriers

20. Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: Implications for risk prediction

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