Table 1.
Results of the case-control analysis.
Table 2.
Genetic variants of the dopaminerg system.
Table 3.
Genetic variants of the dopaminerg system.
Figure 1.
HaploView analysis of pairwise linkage disequilibrium in DRD2 and DRD4.
Three marker SNPs are shown in both panel A for DRD2 and panel B for DRD4. The colors represent the relative D’/LOD scores. Linkage disequilibria are displayed as pairwise D’ values multiplied by 100. Shading represents the magnitude and significance of pairwise LD on a grey-scale (black–high LD; white–low LD).
Figure 2.
Posterior probabilities for variables in association with heroin use.
In this graphic visualization each variable is represented by a grey oval, while the target variable is the black oval. Variables are nodes in Bayesian networks. The arrows between nodes represent the direct associations between variables; the thickness of the arrows reflects the posterior probability of the edge being present in the model. The DRD4 −615 A/G has no direct influence on the target variable, the effect is mediated through the DRD4 −521 C/T.
Table 4.
The combined effect of the DRD4 −615 A/G and −521 C/T SNPs.
Figure 3.
Dendrogram of sub-relevant sets of SNPs.
This relevance tree shows the hierarchy of relevant variable subsets. Starting from left to right, paths starting from the (1.0) node show us the relevance of the subset of variables along the path. The respective posterior probability is shown in the lower part of the end node. The posterior probability of DRD4 −521 and DRD −615 both being relevant variables is 0.51. The posterior probability decreases when increasing the number of variables (nodes) in the model. The TaqIA polymorphism only enters the model when TaqIB is not present, signifying its redundancy.