Answers TO THE Questions

The link between family history and breast cancer tumor was well known even before actress Angelina Jolie exposed she had a gene mutation that greatly increased her threat of the disease.

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The hereditary mutations that cause many of the known hereditary tumors syndromes have been recognized, and genetic evaluation can validate whether a condition is, indeed, the result of an inherited syndrome. Genetic evaluation is also done to determine whether family members without obvious health problems have inherited the same mutation as a family member who is known to bring a cancer-associated mutation.

Sieh's study, performed with Stanford teacher Alice Whittemore reviewed past studies that founded links between 86 different gene variants and breast tumors risk. Those studies also covered hereditary information about tens of thousands predisposition testing of women. Sieh and Whittemore then created a statistical computer model using that data to assess a woman's risk for breasts cancers: however many cancer-related genes a female has, multiplied by the consequences of the variations.

It is incorrect to ask people to undergo genetic evaluation without getting professional counselling to describe the limits of the test and informing them of the test's results - even the ambiguous results. Limiting population-wide tests to only variations we presently understand is finally an limited way to address the gaps in Dr. King's proposal.

Our COMMUNITY FORUMS offer online message boards for breast malignancy survivors to share their experiences and advice with other breasts cancer tumor survivors. Our Women at Higher Threat of Breast Cancer discussion board within the COMMUNITY FORUMS offers women at higher risk a location to share their own experiences and difficulties.

Women regularly overestimate their chances of developing breast tumors. The truth is, the average 40-year-old girl who has never smoked has only a 0.2 percent chance of dying from breasts cancer by enough time she turns 50. Relating to a Dartmouth College or university researcher who studies risk understanding, we can't effectively evaluate our personal risk if we've nothing against which to measure the statistics. And for some of us, those information loom frighteningly large, obscuring other, perhaps more dangerous risk factors.