gnomad-database

Query gnomAD GraphQL API for allele frequencies, constraint scores, and LoF annotations.

21|1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/OwnLabAI/ownlab --skill gnomad-database-ownlabai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gnomad-database
Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/gnomad-database
Command: npx skills add https://github.com/OwnLabAI/ownlab --skill gnomad-database-ownlabai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

gnomAD data is essential for interpreting genetic variants; this skill enables researchers and clinicians to quickly fetch population allele frequencies, constraint scores (pLI/LOEUF), and loss-of-function annotations from gnomAD to support clinical and research variant assessments.

Core Features & Use Cases

  • Gene- and variant-centered queries against gnomAD datasets (gnomad_r4, gnomad_r4_genomes, gnomad_r3, gnomad_r2_1) to retrieve allele frequencies, lof status, and population-specific AFs.
  • Constraint analysis support: pLI, LOEUF, observed/expected metrics to prioritize candidate genes.
  • Integrations: GraphQL-based access and ready-to-use Python examples for quick analysis.

Quick Start

Query gnomAD for a gene like BRCA1 to retrieve frequency and constraint data.

Frequently Asked Questions about gnomad-database

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

FAQPage Schema
How do I retrieve population allele frequencies from gnomAD for variant interpretation?

You can retrieve gnomAD population allele frequencies by performing gene- or variant-centered queries across datasets like gnomad_r4 or gnomad_r3, which return structured ancestry-specific frequency and loss-of-function annotation results.

What do constraint scores like pLI and LOEUF mean for prioritizing candidate genes?

Constraint scores like pLI and LOEUF measure a gene's intolerance to loss-of-function variation. Querying gnomAD provides observed/expected metrics to help prioritize candidate genes in clinical and research assessments.

Can I query older gnomAD datasets like gnomad_r2_1 alongside newer versions?

Yes, you can query older gnomAD datasets like gnomad_r2_1 alongside newer versions. The skill supports multiple datasets including gnomad_r4, gnomad_r4_genomes, gnomad_r3, and gnomad_r2_1 for comparative frequency lookups.

How do I handle absent data or missing ancestry-specific frequencies in gnomAD query results?

The skill provides specific guidance for handling absent data and missing ancestry-specific frequencies in gnomAD query results, ensuring structured outputs remain suitable for accurate clinical analysis.

Does the gnomAD GraphQL API support structured results for integration into Python analyses?

Yes, the gnomAD GraphQL API supports structured results suitable for integration into Python analyses. The skill provides ready-to-use Python examples for querying frequency comparisons and constraint interpretations.