SBayesR and SBayesRC are Bayesian methods for polygenic risk score (PRS) computation, SNP heritability estimation, and genetic architecture analysis using GWAS summary statistics and an LD reference p
Use with AI
Install the MCP server or CLI to instantly fetch SBayesR / SBayesRC documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/sbayesr
Use when performing Bayesian fine-mapping of GWAS loci with DAP-G (Distributed Adaptive Posterior Sampling with Genomic annotations). DAP-G computes posterior inclusion probabilities (PIPs) and credib
1 shared topic • 3 shared operations
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
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