Algorithm 1. EpiMOGA pseudocode Input: Num: the number of the initial population, positive integers greater than 1 X: m × n matrix consisted of 0 and 1, representing the states of m samples at n SNP sites. Y: 1 × m vector consisted of 0 and 1, representing the state of m samples. Maxtimes:Maximum number of iterations Output: Best: the set of optimal SNP combinations

01: begin 02: For i = 1:Num 03:  Initial population_i 04:  Evaluate population:fitvalue⬅Twoobjection(population_i,X,Y) 05:   while (generation <Maxtimes) 06:   Selection 07:   Crossover 08:   Mutation 09:   Evaluate population 09:   Output candidate chromosome 10:  end 11: end 11: Merge candidate set 12: Evaluate candidate set 13: Output Best⬅best SNP combinations 14: end