Fig. 1

Predictions of familial breast cancer status in two independent cohorts. a In a cross-validated design, we predicted familial breast cancer status for 124 women from Utah. This cohort included women who did or did not have a family history (FH) of breast cancer, who did or did not carry a BRCA1 or BRCA2 mutation (BRCAX if not), and who had or had not developed breast cancer. The “Genomic model score” values represent probabilistic predictions made by the support vector machines algorithm. Higher values indicate a higher probability that a given individual had developed familial breast cancer. These scores were much higher for individuals who had a family history of breast cancer and developed a breast tumor, irrespective of BRCA1/BRCA2 mutation status. b In a training/testing design, we predicted whether individuals in the independent Ontario cohort had developed familial breast cancer. The support vector machines algorithm was trained on the full Utah data set. Again, the scores were considerably higher for women with a family history of breast cancer who had developed a breast tumor