We assessed the PREDICT v 2.2 for prognosis of breast cancer patients with pathogenic germlineBRCA1andBRCA2variants, using follow-up data from 5453BRCA1/2carriers from the Consortium of Investigators of Modifiers ofBRCA1/2(CIMBA) and the Breast Cancer Association Consortium (BCAC). PREDICT for estrogen receptor (ER)-negative breast cancer had modest discrimination forBRCA1carrier patients overall (Gönen & Heller unbiased concordance 0.65 in CIMBA, 0.64 in BCAC), but it distinguished clearly the high-mortality group from lower risk categories. In an analysis of low to high risk categories by PREDICT score percentiles, the observed mortality was consistently lower than the expected mortality, but the confidence intervals always included the calibration slope. Altogether, our results encourage the use of the PREDICT ER-negative model in management of breast cancer patients with germlineBRCA1variants. For the PREDICT ER-positive model, the discrimination was slightly lower inBRCA2variant carriers (concordance 0.60 in CIMBA, 0.65 in BCAC). Especially, inclusion of the tumor grade distorted the prognostic estimates. The breast cancer mortality ofBRCA2carriers was underestimated at the low end of the PREDICT score distribution, whereas at the high end, the mortality was overestimated. These data suggest thatBRCA2status should also be taken into consideration with tumor characteristics, when estimating the prognosis of ER-positive breast cancer patients.