Power calculations are a fundamental component of the design of genetic studies. However, relatively extensive knowledge of genetic architecture is essential for power calculations to have maximum utility for study planning. We used the ABPA estimates of the posterior distribution of genotypic relative risks (Figure 3) to inform power calculations by estimating the numbers of independent loci that could be detected for different sample sizes (Supplemental Table 6 and Supplemental Figure 8). For example, for 60,000 schizophrenia cases and 60,000 controls, ABPA results project that hundreds of independent SNP loci would reach genome-wide significance (mean of 794 SNPs, 95% credible interval 362-1154 SNPs).
