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. 2009 Sep 1;32(3):447–455. doi: 10.1590/S1415-47572009005000058

Table 3.

Risk estimates and breast cancer history according to risk category in the 902 women who underwent genetic risk assessment.

Estimated lifetime risk for breast cancer < 0.2 (n = 633) Estimated lifetime risk for breast cancer ≥ 0.2 (n = 55) Phenotype of breast cancer predisposition syndrome (n = 214) p
Number of BC cases in family* 0.98 ± 0.67 1.45 ± 0.83 1.69 ± 1.14 < 0.001
Number of BC-affected generations* 0.92 ± 0.54 1.24 ± 0.55 1.29 ± 0.64 < 0.001
Average age (yr) at BC diagnosis in the family 46.6 ± 10.6 47.0 ± 11.4 46.6 ± 11.2 0.968
ELTR for BC
Using the Gail model** 10.2 ± 4.1 19.2 ± 5.1 12.3 ± 6.6 < 0.001
Using the Claus model* 10.2 ± 2.8 16.7 ± 7.8 13.9 ± 7.4 < 0.001
Using the Tyrer-Cuzick model** 9.8 ± 3.7 19.6 ± 6.2 12.4 ± 5.6 < 0.001
Prior probability of mutation in a BRCA gene
Mutation prevalence tables*** 6.3 ± 3.8 6.7 ± 3.9 13.2 ± 13.0 < 0.001
Modified Couch model*** 9.7 ± 4.3 10.3 ± 5.0 14.8 ± 10.6 < 0.001

The values are the mean ± SD. BC = breast cancer, BCPS = breast cancer predisposition syndrome, ELTR = estimated lifetime risk.

*The mean value of the group with a slightly increased risk was significantly lower than that of the other two groups.

**The mean values in all three groups differed significantly from each other.

***The mean value of the group that had criteria for breast cancer predisposition syndrome was significantly greater than that of the other two groups.

Note: The number of valid cases used in each of the ELTR and prior probability analyses was 878, 592 and 874 for the Gail, Claus and Tyrer-Cuzick models, respectively. For the mutation prevalence tables and the modified Couch model, 890 and 874 valid cases were used, respectively.