CAUSALdb integrates many GWAS summary statistics and identifies credible sets of causal variants by uniformly processed fine-mapping. The database incorporates over 13,000 public full GWAS summary-level data, which will constantly accumulate according to our timely curation. It estimates causal probabilities of all genetic variants in the GWAS significant loci using state-of-the-art fine-mapping tools. These comprehensive causalities and statistics can be explored in an interactive causal block viewer. Users can also compare causal relations on variant, gene, and trait levels across studies of distinct sample sizes or populations. By integrating massive base-wise and allele-specific functional annotations, causal variants could be further interpreted. The objective of this database is to ensure its convenience and precision for researchers to select and prioritize causal variants for further study.

Note: CAUSALdb 2.0 is out! Please check the documentation for details (please clear the cache of your browser to ensure the website works properly).