variant-annotation

Analyze genetic variant overlaps with ENCODE regulatory elements and clinical data.

26|5|Updated Mar 8, 2026

Search Tags:#genomics #functional #regulatory #annotation #variant #ENCODE

Ready to run

npx skills add https://github.com/ammawla/encode-toolkit --skill variant-annotation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: variant-annotation
Source: https://github.com/ammawla/encode-toolkit/tree/main/plugin/skills/variant-annotation
Command: npx skills add https://github.com/ammawla/encode-toolkit --skill variant-annotation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bedtools, pyensembl, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users interpret the functional significance of genetic variants by integrating ENCODE regulatory annotations, clinical evidence, and population data to facilitate causal variant identification.

Core Features & Use Cases

Regulatory Overlap Analysis: Determine whether variants fall within ENCODE's candidate cis-regulatory elements across relevant tissues.
Integrative Annotation: Combine VEP consequence predictions, ClinVar clinical significance, and gnomAD frequencies to assess variant impact.
Example: A researcher evaluates GWAS lead SNPs for type 2 diabetes, annotates overlaps with pancreatic islet enhancers, and checks clinical pathogenicity, enabling informed hypotheses about causal mechanisms.

Quick Start

Provide the list of variants or genomic regions to annotate with ENCODE features, and request a detailed impact report on their regulatory significance.

Frequently Asked Questions about variant-annotation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I interpret genetic variants using ENCODE regulatory annotations?▼

Genetic variant interpretation with ENCODE data involves analyzing variant overlaps with candidate cis-regulatory elements across relevant tissues to identify likely causal variants in disease contexts.

Can I prioritize GWAS lead SNPs by checking their overlap with tissue-specific enhancers?▼

Yes, you can prioritize GWAS lead SNPs by annotating their overlap with tissue-specific candidate cis-regulatory elements, such as pancreatic islet enhancers, to inform causal mechanism hypotheses.

What do I need to provide to start annotating genomic regions with ENCODE features?▼

To start annotating genomic regions with ENCODE features, you simply provide a list of variants or genomic regions and request a detailed impact report on their regulatory significance.

Does this variant annotation approach integrate clinical and population frequency data?▼

Yes, integrative annotation combines VEP consequence predictions, ClinVar clinical significance, and gnomAD frequencies to comprehensively assess variant impact and pathogenicity.

Can I use bedtools and pyensembl for functional variant annotation in genomics workflows?▼

Yes, using bedtools and pyensembl supports functional variant annotation in genomics workflows by enabling regulatory overlap analysis and gene linkages for clinical and research applications.