powerful for detecting such low signals. Approximately 10 million human SNPs have so far been identified [2]. Currently, association studies depend on choosing a subset of these which includes those influencing the probability of disease, or that are in linkage disequilibrium with those that do so. A primary purpose of the SNPs3D resource [3] is to provide a means of selecting candidate genes likely to influence disease susceptibility, and to further select the most relevant non-synonymous SNPs within those genes.
