Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants

Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction

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Association analysis identifies 65 new breast cancer risk loci

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Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

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Multigene Panel Testing Detects Equal Rates of Pathogenic BRCA1/2 Mutations and has a Higher Diagnostic Yield Compared to Limited BRCA1/2 Analysis Alone in Patients at Risk for Hereditary Breast Cancer

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Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry

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The Contributions of Breast Density and Common Genetic Variation to Breast Cancer Risk

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Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

(2015) Kyriaki Michailidou et al.   NATURE GENETICS

The Contributions of Breast Density and Common Genetic Variation to Breast Cancer Risk

(2015) Celine M. Vachon et al.   JNCI-Journal of the National Cancer Institute

Assessing Individual Breast Cancer Risk within the U.K. National Health Service Breast Screening Program: A New Paradigm for Cancer Prevention

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Genome-wide association study identifies five new breast cancer susceptibility loci

(2010) Clare Turnbull et al.   NATURE GENETICS