We performed an inverse-variance weighted, fixed-effects meta-analysis with all GWAS samples using METAL (21) (nine samples using CC phenotypes and eight using FS phenotypes). For each SNP, a pooled effect size, standard error, and p-value were computed. SNPs with low MAF (<0.05) were excluded, resulting in a final meta-analytic data set of around 6.5M SNPs. Cochran’s Q statistics and corresponding I2 statistics were used as heterogeneity metrics. Cochran’s Q statistic was computed by summing the squared deviations of each study’s estimate by weighting each study’s contribution in the same manner as in the meta-analyses. I2 measured the amount of heterogeneity that is not due to chance.
