The invention provides an exome potential pathogenic mutation detection method based on a family line. The detection method comprises the following steps: 1) reading a result file of an exome sequencing data processing flow, and conducting function filtering; 2) reading the file obtained in the last step, extracting mutations in all samples, calculating a union set, and then combining all samples, so that a matrix is constituted; 3) extracting mutation information in the matrix obtained in the last step, enumerating and assessing pathogenicity of single mutation and pathogenicity of combined dual-site mutation, so that a potential pathogenic mutation list is obtained; and 4) in accordance with the list obtained in the last step, calculating the appearance situations of sites in various samples and target genes. According to the method disclosed by the invention, data integration and basic filtration are completed by taking an output result of the common exome sequencing processing flow as an input condition; by virtue of a special mutation screening algorithm, a candidate set of the potential pathogenic mutations is provided; and the method focuses on solving a problem on potential pathogenic mutation mining of sequencing data with high heterogeneity, high mutation rate and high noise.