Table 5 details the phenotypic correlations across the different measures of current AC and lifetime symptoms of problem drinking. Polychoric correlations were computed on only 1 twin from each pair, chosen randomly. Note that while FT16 phenotypic correlations ranged from 0.25 to 0.75, VATSPSUD phenotypic correlations were somewhat higher ranging from 0.53 to 0.84. Table 6 shows the MZ and DZ twin correlations for each of the measures. We fit a series of models paralleling those fit in the FT16 data, as described above. The results of those models are shown in Table 7. Constraining all parameters to be equal in men and women (Model II), dropping the full C matrix (representing all shared environmental influences; Model III) provided better fits to the data, as indicated by decreases in the AIC and a nonsignificant chi-squared change. A systematic series of fitting submodels to test the significance of the individual genetic factors/pathways resulted in the best-fitting model (Model VII, shown in Fig. 4). Parallel to the results from the Finn- Twin16 data, this model contained multiple latent genetic factors across the
