Query gnomAD allele frequencies and gene constraint scores via GraphQL API.
npx skills add https://github.com/ammawla/encode-toolkit --skill gnomad-variants
Please help me install this Agent Skill. Skill: gnomad-variants Source: https://github.com/ammawla/encode-toolkit/tree/main/plugin/skills/gnomad-variants Command: npx skills add https://github.com/ammawla/encode-toolkit --skill gnomad-variants
This Skill enables querying gnomAD for detailed allele frequencies, population data, and gene constraint scores essential for interpreting ENCODE regulatory variants.
Query gnomAD for the allele frequency of a specific variant to determine its rarity in different populations and evaluate gene constraint scores to assess potential pathogenicity.
High-intent search queries and answers about installing and using this skill.
You can retrieve population allele frequencies for genomic variants by querying gnomAD via a GraphQL API. This provides detailed global and population-specific prevalence data to support variant interpretation workflows.
Gene constraint scores like LOEUF and pLI measure a gene's intolerance to loss-of-function mutations. You need them when prioritizing regulatory variants for functional validation to assess potential pathogenicity.
To check if a regulatory variant within an ENCODE peak is rare, query gnomAD for its allele frequency across different populations. This determines its prevalence and helps prioritize variants for downstream analysis.
Yes, you can use python-requests to access gnomAD variant annotation data. The Skill utilizes python-requests alongside GraphQL to perform precise data retrieval for allele frequencies and gene constraint metrics.
Yes, this approach supports integration into downstream variant prioritization processes. It outputs allele frequency and gene constraint data that facilitate variant annotation and gene prioritization in genomic research workflows.
The best way to evaluate gene intolerance to loss-of-function mutations is accessing gnomAD gene constraint scores. Retrieving metrics like LOEUF and pLI allows you to assess the potential pathogenicity of target genes.
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