… Colocalization relies on a Bayesian framework that can integrate summary statistics, for …
code for performing a genetic colocalization analysis of two traits using summary statistic …

… analysis in the Bayesian framework becomes a natural choice for SNP-level colocalization
analysis; … Informed by our real data analysis of 4,091 GWAS traits and the eQTL data from the …

… traits simultaneously (eg 100 traits can be jointly analysed in around 1 s). We perform a
genome-wide multi-trait colocalization analysis … association signals using summary statistics on …

… When applied to the full GWAS Catalog and GTEx eQTL, we find that colocalized trait-gene
pairs are enriched in tissues relevant to disease etiology and for matches to approved drug …

… We repeatedly simulated GWAS summary data for a single trait with one or two causal … data
for two traits, such that each trait had one or two causal variants and each pair of traits shared …

… summary statistics data curation and process We collected GWAS summary statistics for
complex traits … So far, we have curated a total of 3189 GWAS summary statistics datasets mainly …

… Bayesian colocalisation analysis that hitherto have not received detailed attention. The ability
of Bayesian … single trait association, p 1 , p 2 , are well supported by data across a range of …

… summary statistics from genome-wide association studies for all the traits, which is important
for multi-trait analysis … applies to multiple traits with only summary statistics based on one or …

… We recognize that the colocalization results for two traits in the same locus might be …
interactively visualize and analyze genetic association data and perform colocalization between two …

… correlation test results within a formal Bayesian framework. Specifically, we take the TWAS
… To analyze the simulated data, we perform eQTL and GWAS finemapping analysis using …