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Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening.

07:00 EST 27th February 2018 | BioPortfolio

Summary of "Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening."

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 to assess what impact these improvements will have on individual counseling and on public health prevention and screening strategies, and to determine what further improvements are needed.

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This article was published in the following journal.

Name: Journal of the National Cancer Institute
ISSN: 1460-2105
Pages:

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