The invention discloses an epistasis locus mining method based on a genetic tabu and
Bayesian network, and the method comprises the following steps: 1, converting
genotype data into Boolean data in binary representation; 2, using the logic and the operation to quickly calculate the
mutual information between arbitrary SNP locus pairs and
phenotype, extracting a top-N node pair, and constructing aninitial network map comprising the SNP loci; 3, generating new individuals based on an initial network individual through randomly adding edges, deleting edges and reversing the edges until the number of network individuals reaches the size of the
population; 4, evolving a
Bayesian network structure through three operations of the
genetic algorithm and a scoring mechanism of the
Bayesian network,finding an optimal solution of the
network structure, and quickly and accurately obtaining the epistasis locus affecting the phenotypic traits. The method can help biological researchers to obtain epistatic
gene loci affecting specific phenotypic traits, thereby assisting in
gene function mining, and providing reference for genetic basis analysis of complex quantitative traits of different species.