We imputed the significantly heritable genes into the METSIM GWAS cohort of 5,500 unrelated individuals with individual-level genotypes (and unmeasured expression). We then tested the imputed expression for obesity-related traits: body mass index (BMI); triglycerides (TG); waist-hip-ratio (WHR); and fasting insulin levels (INS). Overall, the evaluated traits exhibited high phenotypic and genetic correlation as well as highly significant genome-wide h2g ranging from 23–36% (Supplementary Table 15) consistent with common variants having a major contribution to disease risk1. Association was assessed using standard regression as well as a mixed-model that accounted for relatedness and phenotypic correlation31 with similar results. The effective number of tests for each trait was estimated by permuting the phenotypes 10,000 times and, for each permutation, re-running the association analysis on all predicted genes. For each trait Pperm, the P-value in the lowest 0.05 of the distribution, was computed and the effective number of tests was 0.05/Pperm, reported in Supplementary Table 16. All phenotypes were shuffled together, so any phenotypic correlation was preserved. The effective number of tests corresponded to 88–95% of the total number of genes, indicating
