False discovery rate (FDR) was calculated to correct for multiple comparisons. We found 74 significant tests, and 1 (1.115) false positives is expected under the traditional p-value cut-off criterion (0.05). If the p-value cutoff point is set to 0.01, it yields 60 significant tests, where we would expect 0.220 positive results by chance.
