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      Key steps for effective breast cancer prevention

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      Nature Reviews Cancer
      Springer Science and Business Media LLC

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          Tamoxifen for Prevention of Breast Cancer: Report of the National Surgical Adjuvant Breast and Bowel Project P-1 Study

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            A breast cancer prediction model incorporating familial and personal risk factors.

            Many factors determine a woman's risk of breast cancer. Some of them are genetic and relate to family history, others are based on personal factors such as reproductive history and medical history. While many papers have concentrated on subsets of these risk factors, no papers have incorporated personal risk factors with a detailed genetic analysis. There is a need to combine these factors to provide a better overall determinant of risk. The discovery of the BRCA1 and BRCA2 genes has explained some of the genetic determinants of breast cancer risk, but these genes alone do not explain all of the familial aggregation of breast cancer. We have developed a model incorporating the BRCA genes, a low penetrance gene and personal risk factors. For an individual woman her family history is used in conjuction with Bayes theorem to iteratively produce the likelihood of her carrying any genes predisposing to breast cancer, which in turn affects her likelihood of developing breast cancer. This risk was further refined based on the woman's personal history. The model has been incorporated into a computer program that gives a personalised risk estimate. Copyright 2004 John Wiley & Sons, Ltd.
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              Projecting Individualized Probabilities of Developing Breast Cancer for White Females Who Are Being Examined Annually

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                Author and article information

                Journal
                Nature Reviews Cancer
                Nat Rev Cancer
                Springer Science and Business Media LLC
                1474-175X
                1474-1768
                June 11 2020
                Article
                10.1038/s41568-020-0266-x
                32528185
                ea3eae26-435d-4363-9c4c-f003b263328a
                © 2020

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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