Polygenic scores for alcohol phenotypes have had very modest effects in previous studies. Thus, in an attempt to conceptually validate findings coming out of the primary alcohol analyses, we also compared the predictive power of DHS- and GW-scores for height as a secondary outcome. We selected height as a model phenotype given that its molecular genetic etiology is further advanced (relative to alcohol problems) and polygenic scoring methods have already demonstrated substantial success (Wood et al., 2014). We used the same procedure to calculate the polygenic scores for height, with discovery GWAS summary statistics coming from the GIANT Consortium meta-analysis results of ~250,000 adults of European ancestry (Wood et al., 2014; available at http://portals.broadinstitute.org/collaboration/giant). Genotypes from the GIANT study were imputed to the HapMap2 CEU reference population, so the LiftOver tool (http://genome.sph.umich.edu/wiki/LiftOver) was used to harmonize SNP IDs and genomic locations with those of the 1000 Genomes-imputed FinnTwin12 dataset. There were 1,831,837 SNPs in common after filtering, pruned for LD to 193,884 SNPs (31,358 and 15,239 below p thresholds of .05 and .01, respectively). Of these, 76,913 (39.7%) SNPs were
