BIGA provides different tools for quantifying cross-trait genetic architectures, such as genome-wide genetic correlation methods, polygenic overlap estimation between two traits, local genetic correlation analysis, Mendelian randomization and colocalization.

We have also aggregated and preprocessed GWAS summary statistics from different resources (e.g., the UK Biobank, GWAS Atlas, FinnGen, Biobank Japan, BIG-KP, and UKB Oxford Brain Imaging Traits) and provided curated datasets. Our framework can easily be extended to incorporate additional methods and GWAS summary statistics.

Feel free to post suggestions, bug reports or ask questions for BIGA GWAS on our Google Forum

Reference: Analyzing bivariate cross-trait genetic architecture in GWAS summary statistics with the BIGA cloud computing platform LINK

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