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. 2020 Sep 17;11:4703. doi: 10.1038/s41467-020-18515-4

Fig. 1. Summary of disease informativeness of allelic-effect deep learning annotations.

Fig. 1

We report the number of allelic-effect annotations with significant heritability enrichment, marginal conditional τ⋆, and joint conditional τ⋆, across a different deep learning models (DeepSEA/Basenji), b different aggregation strategies (Avg/Max) and c different chromatin marks (DNase/H3K27ac/H3K4me1/H3K4me3). Numerical results are reported in Supplementary Table 5 (numerical summary of results), Supplementary Table 6 (enrichment and marginal τ⋆ for all tissues, all traits analysis), Supplementary Table 15 (enrichment and marginal τ⋆ of blood cell types, blood traits analysis), Supplementary Table 21 (enrichment and marginal τ⋆ of brain tissues, brain traits analysis) and Supplementary Table 27 (joint τ⋆ of brain tissues, brain traits analysis). No Supplementary Table is needed for joint τ⋆ of all tissues, all traits (1 marginally significant annotation) or blood cell types, blood traits (0 marginally significant annotations).