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.本数据集为论文《基于深度学习挖掘遗传性乳腺癌易感基因》（Discovering Predisposing Genes for Hereditary Breast Cancer using Deep Learning）所附带的错义突变原始数据。该数据集包含来自12个高风险家族的乳腺癌患者健康组织中的未经过滤错义变异。本数据集共纳入40名受试者，其中39名女性、1名男性；受试者涵盖35名乳腺癌患者、1名结肠癌患者、1名胰腺癌患者，以及3名未患病的女性家族成员。所有数据均比对至参考基因组hg19（涵盖编码区与非编码区）。如需获取更多数据，请参阅论文正文。