In GWAS studies there's a nice visualization for dealing with this called Manhattan Plots. https://en.wikipedia.org/wiki/Manhattan_plot

Basically if you test a lot of hypotheses plot all the p-values and look to see if there is something that is a true outlier or whether it is expected given so many tests.