DAP-G

eCAVIAR — GWAS and eQTL colocalization tool that computes the Colocalization Posterior Probability (CLPP) for each variant to identify shared causal variants across two traits. Extends CAVIAR to joint

1 shared topic • 3 shared operations

gwasglue — R package that connects IEU Open GWAS summary data to downstream statistical genetics analysis tools. Bridges GWAS summary statistics to Mendelian randomization (TwoSampleMR), colocalisatio

1 shared topic • 3 shared operations

Use when performing GWAS fine-mapping with PAINTOR (Probabilistic Annotation INTegratOR). Computes posterior inclusion probabilities (PIPs) for causal variants by integrating summary statistics (Z-sco

1 shared topic • 3 shared operations

Use when working with PolyFun — functionally-informed polygenic fine-mapping from GWAS summary statistics. Computes per-SNP heritability priors using S-LDSC with functional annotations, then runs SuSi

1 shared topic • 3 shared operations

Use when working with SparsePro for GWAS fine-mapping and causal variant identification. Sparse variational inference framework that computes posterior inclusion probabilities (PIPs) and credible sets

1 shared topic • 3 shared operations