A Shenton

TL;DR: The Tyrer–Cuzick model is the most consistently accurate model for prediction of breast cancer, although the accuracy of the Claus model may be improved by adjustments for other risk factors.

TL;DR: The Manchester scoring system had the best trade-off between sensitivity and specificity at 10% prediction for the presence of mutations as shown by its highest C-statistic and was far superior to BRCAPRO.

TL;DR: Women with NF1 aged <50 years have a fivefold risk of breast cancer, are in the moderate risk category and should be considered for mammography from 40 years of age, according to a population-based study.

TL;DR: In high-risk families, selected in a genetics service setting, women who test positive for the familial BRCA1/BRCA2 mutation are likely to have cumulative breast cancer risks in keeping with the estimates obtained originally from large families.

TL;DR: Carrier prediction algorithms provide a rational basis for counselling individuals likely to carry BRCA1 or BRCa2 mutations and their widespread use would improve equity of access and the cost-effectiveness of genetic testing.