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Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening
BACKGROUND: Incorporation of polygenic risk scores and mammographic density into models to predict breast cancer incidence can increase discriminatory accuracy (area under the receiver operating characteristic curve [AUC]) from 0.6 for models based only on epidemiologic factors to 0.7. It is timely...
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| Publicado no: | J Natl Cancer Inst |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6136930/ https://ncbi.nlm.nih.gov/pubmed/29490057 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jnci/djy013 |
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