Unfiltered missense data families 1-12

Raw missense data for the paper Discovering Predisposing Genes for Hereditary Breast Cancer using Deep Learning.

Unfiltered missense variants from healthy tissue of breast cancer patients from 12 high-risk families. The dataset includes  40 subjects, 39 female and one male (35 breast cancer patients, a colon cancer patient, a pancreatic cancer patient and 3 un-affected female family members). Data aligned to refrence genome hg19 (coding and non-coding regions). For additional data please refer to text.