CAUSALdb allows users to explore variant causality across studies through querying variants, traits, genes, or chromosome loci of their choice. The general query result displays all matched GWASs and related study summaries, including trait name, sample size, population, number of cases/controls, number of variants with summary statistics, publication information, source link, mapped MeSH terms, as well as our QC notes (Supplementary Figure S6). In terms of specific functions, by searching for either rsID or variant chromosome position, users can visualize the PP of the causality versus the original GWAS P-value in a scatter plot (Figure 2A). The dot size in the plot represents the study sample size and the dot color represents the mapped MeSH term. Obviously, variants on the upper right corner are more likely to be causal. Users can inspect the summary table on the right of the scatter plot and switch the fine-mapping tools via a drop-down box. The link on the hover tip can directly guide users to the causal block viewer of a particular study. As fine-mapping would have narrowed down the significant variants to
