Results In all analyses, we used sex- and age-adjusted height as an outcome. We have compared the predictive potential of different methods by contrasting the proportion of the explained height variance explained and AUC. The latter measures the accuracy of the model to discriminate between alternative outcomes (in height context, eg, 'very tall' or not). The data from the population-based Rotterdam Study 8 (5748 individuals with complete height, sex, age and genomic data) were used to estimate the predictive potential of the genomic method. In the Rotterdam Study, 34 of the 54 SNPs were significantly associated with height at Po0.05. Only for two SNPs the direction of (non- significant) height association inconsistent with that reported by the original studies (Supplementary Table 1). Before estimating the potential of the genomic profile to predict human height, we also tested whether the 54 loci deviated from the within- or between-loci additivity assumption. After correction for multiple testing, we did not find statistically significant evidence for between-loci interactions (all nominal P40.001). Only one SNP (rs4794665 located in the NOG-RISK region) showed significant deviation from a within-locus additive model after correction for multiple testing (corrected P 0.0006, see Supplementary Table 1)