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2.
Figure 3

Figure 3. From: Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance.

Overall survival rates according to the risk groups (LR = low risk; MR = medium risk; HR = high risk).

Orsolya Lautner-Csorba, et al. BMC Med Genomics. 2012;5:42-42.
3.
Figure 5

Figure 5. From: Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance.

Subgraphs of the strongly relevant variables in event-free and overall survival. Left: The “averaged structure” of the subgraphs of the strongly relevant variables in event-free survival according to the BN-BMLA method. Right: The “averaged structure” of the subgraphs of the strongly relevant variables in overall survival according to the BN-BMLA method. The width of the edges is proportional to their a posteriori probability. Edges are shown only if their a posteriori probability exceed 0.5. The probability of the edges is computed by averaging over the Bayesian networks visited by the MCMC process. See Methods. Target variables are indicated with red color, phenotypic variables with purple color, and SNPs with orange color.

Orsolya Lautner-Csorba, et al. BMC Med Genomics. 2012;5:42-42.
4.
Figure 6

Figure 6. From: Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance.

Interactions in event-free and overall survival according to the BN-BMLA method. The figure shows the magnitude of interactions (red curved lines) between the variables in the event-free survival (A panel), and in the overall survival (B panel) according to the BN-BMLA method. See Methods for the computation of interaction. The width of the curved lines is proportional to the strength of the effect. The a posteriori probability of the strong relevance of the variables is proportional to the length of the dark red columns next to the variable in the inner gray colored ring. The corresponding genes and chromosomes of the SNPs are shown on the outer ring.

Orsolya Lautner-Csorba, et al. BMC Med Genomics. 2012;5:42-42.
5.
Figure 4

Figure 4. From: Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance.

Redundancies and interactions according to the BN-BMLA method. The figure shows the magnitude of redundancies (blue curved lines) and interactions (red curved lines) between the variables in the whole dataset (i.e. ALL susceptibility, A panel), in the T-cell lineage sample group (B panel) and in the hyperdiploid sample group (C panel) according to the BN-BMLA method. See Methods for the computation of interaction and redundancy. The width of the curved lines is proportional to the strength of the effect. The a posteriori probability of the strong relevance of the variables is proportional to the length of the dark red columns next to the variable in the inner gray colored ring. The corresponding genes and chromosomes of the SNPs are shown on the outer ring.

Orsolya Lautner-Csorba, et al. BMC Med Genomics. 2012;5:42-42.
6.
Figure 1

Figure 1. From: Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance.

Illustration of different dependency relations between certain SNPs in ARID5B and IKZF1 genes, gender and ALL susceptibility. Top panel: The “averaged structure” of the Bayesian networks including ALL susceptibility (red node), gender (purple node) and the SNPs of ARID5B (blue nodes) and IKZF1 (orange nodes). The width of the edges is proportional to their a posteriori probability. The probability of the edges is computed by averaging over the Bayesian networks visited by the MCMC process. See Methods. Bottom panel: The posterior probability of strong relevance (blue columns), edge (direct strong relevance, red columns), pure interaction (green columns), association (purple columns), transitive association (yellow columns) and confounded association (brown columns) of the variables to ALL susceptibility according to the BN-BMLA method.

Orsolya Lautner-Csorba, et al. BMC Med Genomics. 2012;5:42-42.

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