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Table 6 Number of SNPs and model performance referring to the group 10 of the Table 5 before and after the application of the GA.

From: SNPs selection using support vector regression and genetic algorithms in GWAS

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# SNPs

Linear**

RBF**

PUK**

Before GA

220

0.36(0.18)

0.69(0.09)

0.73(0.09)

After GA

21*

0.66(0.13)

0.73(0.09)

0.75(0.09)

  1. *The selected markers are SNPs 1, 10, 15, 20, 30, 60, 158, 177, 269, 274, 391, 446, 516, 673, 686, 693, 717, 725, 739, 825 and 930.
  2. ** Mean and standard deviation of the Pearson correlation in 10-fold cross validation.
  3. The bold line indicates the best model from the second selection for PUK.
  4. The parameters used by the GA were: population size = 100, number of generations = 500, crossover probability = 0.60, mutation probability = 0.033, seed =1.