gnomad-database
Query gnomAD (Genome Aggregation Database) for population allele frequencies, variant constraint scores (pLI, LOEUF), and loss-of-function intolerance.
Skill by beita6969
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/gnomad-database
What's inside
- Skill name
gnomad-database- Description
- Query gnomAD (Genome Aggregation Database) for population allele frequencies, variant constraint scores (pLI, LOEUF), and loss-of-function intolerance. Essential for variant pathogenicity interpretation, rare disease genetics, and identifying loss-of-function intolerant genes.
- License
- CC0-1.0
- Metadata
- skill-author: Kuan-lin Huang
- Instructions
- 389 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (3)
- SKILL.md
- graphql_queries.md · references/
- variant_interpretation.md · references/
SKILL.md (first lines)
# gnomAD Database
## Overview
The Genome Aggregation Database (gnomAD) is the largest publicly available collection of human genetic variation, aggregated from large-scale sequencing projects. gnomAD v4 contains exome sequences from 730,947 individuals and genome sequences from 76,215 individuals across diverse ancestries. It provides population allele frequencies, variant consequence annotations, and gene-level constraint metrics that are essential for interpreting the clinical significance of genetic variants.
**Key resources:**
- gnomAD browser: https://gnomad.broadinstitute.org/
- GraphQL API: https://gnomad.broadinstitute.org/api
- Data downloads: https://gnomad.broadinstitute.org/downloads
- Documentation: https://gnomad.broadinstitute.org/help
## When to Use This Skill
Use gnomAD when:
- **Variant frequency lookup**: Checking if a variant is rare, common, or absent in the general population
- **Pathogenicity assessment**: Rare variants (MAF < 1%) are candidates for disease causation; gnomAD helps filter benign common variants
- **Loss-of-function intolerance**: Using pLI and LOEUF scores to assess whether a gene tolerates protein-truncating variants
- **Population-stratified frequencies**: Comparing allele frequencies across ancestries (African/African American, Admixed American, Ashkenazi Jewish, East Asian, Finnish, Middle Eastern, Non-Finnish European, South Asian)
- **ClinVar/ACMG variant classification**: gnomAD frequency data feeds into BA1/BS1 evidence codes for variant classification
- **Constraint analysis**: Identifying genes depleted of missense or loss-of-function variation (z-scores, pLI, LOEUF)
## Core Capabilities
### 1. gnomAD GraphQL API
gnomAD uses a GraphQL API accessible at `https://gnomad.broadinstitute.org/api`. Most queries fetch variants by gene or specific genomic position.
**Datasets available:**
- `gnomad_r4` — gnomAD v4 exomes (recommended default, GRCh38)
- `gnomad_r4_genomes` — gnomAD v4 genomes (GRCh38)
- `gnomad_r3` — gnomAD v3 genomes (GRCh38)
- `gnomad_r2_1` — gnomAD v2 exomes (GRCh37)
**Reference genomes:**
- `GRCh38` — default for v3/v4
- `GRCh37` — for v2
### 2. Querying Variants by Gene
```python
import requests
def query_gnomad_gene(gene_symbol, dataset="gnomad_r4", reference_genome="GRCh38"):
"""Fetch variants in a gene from gnomAD."""
url = "https://gnomad.broadinstitute.org/api"
query = """
query GeneVariants($gene_symbol: String!, $dataset: DatasetId!, $reference_genome: ReferenceGenomeId!) {
gene(gene_symbol: $gene_symbol, reference_genome: $reference_genome) {
gene_id
gene_symbol
variants(dataset: $dataset) {
variant_id
pos
ref
alt
consequence
genome {
af
ac
an
ac_hom
populations {
id
ac
an
af
}
}
exome {
af
ac
an
ac_hom
}
lof
lof_flags
lof_filter
}
}
}
"""
variables = {
"gene_symbol": gene_symbol,
"dataset": dataset,
"reference_genome": reference_genome
}
response = requests.post(url, json={"query": query, "variables": variables})
return response.json()
# Example
result = query_gnomad_gene("BRCA1")
gene_data = result["data"]["gene"]
variants = gene_data["variants"]
# Filter to rare PTVs
rare_ptvs = [
v for v in variants
if v.get("lof") == "LC" or v.get("consequence") in ["stop_gained", "frameshift_variant"]
and v.get("genome", {}).get("af", 1) < 0.001
]
print(f"Found {len(rare_ptvs)} rare PTVs in {gene_data['gene_symbol']}")
```
### 3. Querying a Specific Variant
```python
import requests
def query_gnomad_variant(variant_id, dataset="gnomad_r4"):
"""Fetch details for a specific variant (e.g., '1-55516888-G-GA')."""
url = "https://gnomad.broadinstitute.org/api"
query = """
query VariantDetails($variantId: String!, $dataset: DatasetId!) {From beita6969/ScienceClaw, CC0-1.0.
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Signals
- Stars
- 1,019
- Forks
- 109
- Open issues
- 1
- Last commit (this folder)
- Mar 12, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- CC0-1.0
- Repository
- github.com/beita6969/ScienceClaw
- Website
- scienceclaw.science
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
gnomad-database skill. Agent Mart. https://agentmart.dev/skills/beita6969-gnomad-database (last updated 2026-10-24)