Multiple hypothesis testing is a common problem in genome research, particularly in microarray experiments and genomewide association studies. Failure to account for the effects of multiple comparisons would result in an abundance of false positive results. The Bonferroni correction and Holms step-down procedure are overly conservative, whereas the permutation test is time-consuming and is restricted to simple problems.