I have been making a suggestion for how Genome-wide Association Tests could be checked upfront to determine the likelihood that their alleged genetic correlations are not simply random false positives. As I've pointed out previously, when you look at hundreds of thousands of loci or SNP's with potentially millions of study participants, it is very likely that some (if not all) of your "significant" p values were only random, false positives. I want to formalize my suggestion (and, for the fun of it, name it after myself).
Here is my proposal: