Fig. 1

We identified 874 women in the TCGA dataset with breast cancer and 3381 women as controls, women who had another form of cancer but not breast cancer. We characterized the germ line genetics of each of these women with 22 numbers, each one representing the average copy number of a chromosome, or the “length”. Based on this genetic characterization, we found a machine learning algorithm that can classify women with breast cancer compared to other women in the TCGA dataset with an area under the curve of (AUC) of 0.72. This figure depicts the receiver operator characteristic curve