← ClaudeAtlas

gwas-cataloglisted

Guide for integrating NHGRI-EBI GWAS Catalog associations with ENCODE regulatory data. Use when users need to find GWAS variants in ENCODE peaks, connect regulatory elements to disease associations, or prioritize functional variants using ENCODE annotations. Trigger on: GWAS, genome-wide association, SNP association, trait association, GWAS Catalog, disease association, risk variant, lead SNP, LD proxy.
ammawla/encode-toolkit · ★ 35 · AI & Automation · score 79
Install: claude install-skill ammawla/encode-toolkit
# Integrating NHGRI-EBI GWAS Catalog with ENCODE Regulatory Data ## When to Use - User wants to intersect ENCODE regulatory elements with GWAS-associated variants - User asks about "GWAS", "genome-wide association", "disease variants", or "trait-associated SNPs" - User needs to find which GWAS hits overlap enhancers, promoters, or TF binding sites - User wants to prioritize GWAS loci by functional annotation from ENCODE data - Example queries: "find GWAS variants in my H3K27ac peaks", "which diabetes GWAS hits overlap pancreas enhancers?", "annotate GWAS loci with ENCODE regulatory marks" Connect genome-wide association study findings with ENCODE functional annotations to identify which regulatory elements harbor disease-associated variants and prioritize causal mechanisms for non-coding GWAS hits. ## Scientific Rationale **The question**: "Which of the disease-associated variants from GWAS fall within active regulatory elements, and what can ENCODE tell us about their functional impact?" The GWAS Catalog (maintained by NHGRI-EBI) contains over 500,000 variant-trait associations from 6,000+ publications. The central challenge of post-GWAS analysis is that >90% of these associations point to non-coding regions of the genome. ENCODE provides the essential functional annotation layer: if a GWAS variant falls within an active enhancer in disease-relevant tissue, that enhancer becomes a candidate causal mechanism. This was first demonstrated systematically by Maurano et al.