The PGA grid was developed to summarize large numbers of phenotype-genotype association tests in a visually useful manner to facilitate interactive exploration of results. This approach could serve as a common format for large-scale association studies. Due to the large number of association tests performed, there will be many nominally significant results. One approach to multiple testing is to indicate P-values deemed statistically significant based on consideration of false discovery rates [9,10]. Most association tests, however, will yield results that do not achieve significance on their own, but that are valuable in the context of other studies of the same gene . Unfortunately, in most large-scale association studies negative or inconclusive results are usually suppressed during publication or at best presented in extremely abridged form.