combine p-value for multiple tests

To combine 6 phenotypic measures for each SNP, one way is the Fisher’s method. When null hypotheses are true for all association tests, they are independent by definition, and their p-value can be combined as 

 for K number of traits. To correct for multiple tests, phenotypic data will be permuted 1000 times, and lowest p-value from each test will be used to generate a distribution to determine proper genome-wide significance. 

It seems reasonable to extrapolate this to combine q-values for multiple tests.