estimated with the discrete local maxima method, which uses the correlation structure of test statistics across subsets. Based on the derived p-value, standard deviation of the SNP effect was adjusted to reflect the multiple-testing correction. Even when correcting for all subset tests (2K-1), simulations suggest there is a substantial gain in power using this test relative to traditional meta-analysis (Bhattacharjee et al., 2012. Standardized genomic inflation factor (λ1000) for the meta-analysis result was close to one. LDSC intercept was substantially less than λGC (0.79 vs 1.55), suggesting that the increase in mean χ2 statistics in the cross-disorder meta-analysis is mainly due to polygenicity and not due to stratification or other confounding biases.
