Mathematical Model Calculates Breast Cancer Risk in Women

Mathematical Model Calculates Breast Cancer Risk in Women
Researchers developed a mathematical model to calculate breast cancer risk in women, based on family history and genetics. According to investigators, this model not only allows the identification of women at higher risk, but also facilitates "individualized, informed decision-making on prevention therapies and screening." The findings of the study, "BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors," were published in Genetics in Medicine. Breast cancer is the most prevalent type of cancer in women from the Western world. However, a large number of cases occur in a minority of women who are at higher risk. Therefore, finding new ways to identify these women to kick-start screening and prevention therapies is crucial. Now, a team of researchers from the University of Cambridge, led by Antonis Antoniou, created a mathematical model called "Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm" (BOADICEA) that combines more than 300 genetic risk factors with other factors, including family history, weight, age at menopause, and alcohol consumption, to calculate breast cancer probability. "This is the first time that anyone has combined so many elements into one breast cancer prediction tool. It could be a game changer for breast cancer because now we can identify large numbers of women with different levels of risk — not just women who are at high risk," Antoniou said in a
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