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 measures of AC and alcohol problems. Genetic correlations for this sample are shown in Table 8 and range from 0.76 (drinking frequency and quantity) to 0.96 (drinking quantity and max drinks).
