For characterization studies the goal is often estimation rather than significance testing. When testing in the characterization setting, there are typically relatively small numbers of candidate SNPs and environmental factors, and standard methods are often used to correct for multiple testing. One option is to perform permutation methods that can account for correlation between different genetic factors and/or different environmental factors [Buzkova, et al. 2011].
