Pappa I, et al. A genome-wide approach to children's aggressive behavior: The EAGLE consortium. Am J Med Genet B Neuropsychiatr Genet. 2016;171:562-572. GWAS analyses in unrelated participants were conducted within each cohort, excluding family members from each cohort prior to GWA analyses. Aggressive behavior was measured on a continuous scale (with higher scores indicating more aggressive behavior). In all cohorts, the non-standardized aggressive behavior scores showed a right-skewed distribution, with the majority of children scoring low on aggression. Association analyses were performed using quasi-Poisson regression, which can accommodate overdispersion [Faraway, 2005], using the R Stats Package [R Development Core Team, 2013]. The quasi-Poisson regression model was preferred over a simple rank-transformation to obtain directly interpretable effect estimates from each cohort. Specifically, in every cohort the untransformed counts of aggressive behavior scores were regressed on age, sex and principal components of the genetic data to account for population stratification and allele dosage. SNP allele dosages were obtained from imputed data (for more details see Supplementary Table S1) and used for GWAS analyses. Non-autosomal SNPs were excluded from GWAS analyses. All analyses were performed in R (Project for Statistical Computing [R Development Core Team, 2013], R script available upon request). This ReadMe was generated by NHLBI.