buttons. Moreover, we added some glyphs to signify the credible set and leading variant. Triangles represent the variants in the credible set and the diamond represents the potential causal variant with leading GWAS signal. When the leading variant is not in the credible set, it will be marked with an inverted triangle. Users can click each variant in the plot to check the summary statistics and causality information, and even reset any variant as an LD proxy. By dragging the slider bar, users can adjust the fine-mapping tools, credible set threshold, and LD r2 to filter out variants in the LocusZoom-like plot. The bottom table displays summary statistics information and product rank values on potential causal variants as the change of credible set threshold. To further distinguish a true causal variant from an extremely high LD, users can select potential causal variants in credible set and compare functional prediction scores (e.g. CADD or FATHMM-MKL) or the number of overlapped epigenomic features (e.g. chromatin accessibility or transcription factor binding) in popup bar plots. Importantly, users can download complete summary statistics for the causal block for further analysis by clicking the ‘Download Data’ button. Also, the fine-mapping results of all causal blocks
