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Fig. 4 | Genetics Selection Evolution

Fig. 4

From: Application of a Bayesian dominance model improves power in quantitative trait genome-wide association analysis

Fig. 4

Simulated gene effects and BayesC and BayesD results for a single simulated trait. The top left panel shows the simulated additive and dominance effects of the 10 causative mutations with a non-negligible effect for a randomly chosen trait for which dominance was important. The top right panel shows the genetic variances of these simulated causative mutations. The two panels in the middle show the within-window genomic variances obtained by BayesC (left) and BayesD (right). The window posterior probability of association (WPPA) obtained from both methods are shown at the bottom. The positions of the 10 causative mutations are indicated by a circle

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