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Incorporating Functional Annotations for Fine-Mapping Causal Variants in a Bayesian Framework Using Summary Statistics

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Academic year: 2020

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Figure

Figure 1 Hierarchical models incorporating functional annotations. Thevector of annotations on the causality state;the prior distribution ofthe parameter specifying the prior distribution ofnotype vector;box indicates the added modeling block related to an
Figure 2 Hierarchical models oftics and correlations among variants for each locus, which can be derived K loci incorporating functional annota-tions
Table 1 Different methods compared in this study
Figure 3 Proportion of causal variants identi5panels correspond to 100 initial loci (column corresponds to 40 informative annotations with moderate effects
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