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Skill284 repo starsupdated 4d ago

clinvar-database

This Claude Code skill queries NCBI's ClinVar database to retrieve clinical significance classifications, pathogenicity interpretations, and disease associations for genetic variants. Use it to check whether specific variants have been clinically characterized, retrieve all pathogenic variants in a gene, identify conflicting laboratory interpretations, or build variant filtering pipelines that prioritize clinically actionable findings. Requires internet access and an NCBI Entrez email address.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills /tmp/clinvar-database && cp -r /tmp/clinvar-database/skills/genomics-bioinformatics/databases/clinvar-database ~/.claude/skills/clinvar-database
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# ClinVar Clinical Variants Database

## Overview

ClinVar is NCBI's public archive of interpretations of variants submitted by clinical laboratories, researchers, and expert panels. It contains 2M+ variants with clinical significance classifications (Pathogenic, Likely Pathogenic, VUS, Likely Benign, Benign) for over 6,000 conditions. Access is free and requires no authentication via NCBI E-utilities.

## When to Use

- Checking whether a specific variant (rsID, HGVS, or genomic position) has a clinical significance classification
- Retrieving all pathogenic/likely-pathogenic variants in a gene of interest
- Identifying conflicting interpretations between submitting laboratories
- Pulling condition/phenotype associations for a variant (MIM, MeSH, HPO terms)
- Building variant filtering pipelines that prioritize clinically actionable variants
- For somatic cancer variants, also check `cosmic-database`; for GWAS associations use `gwas-database`

## Prerequisites

- **Python packages**: `requests`, `xml.etree.ElementTree` (stdlib)
- **Data requirements**: gene symbols, rsIDs, HGVS strings, or ClinVar Variation IDs
- **Environment**: internet connection; NCBI Entrez email required (set `email` parameter)
- **Rate limits**: 3 requests/second unauthenticated; 10/second with API key (free at https://www.ncbi.nlm.nih.gov/account/)

```bash
pip install requests
# No additional packages required; xml.etree is part of Python stdlib
```

## Quick Start

```python
import requests

EMAIL = "your@email.com"  # required by NCBI policy

def clinvar_search(query, retmax=10):
    """Search ClinVar and return a list of ClinVar Variation IDs."""
    r = requests.get(
        "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi",
        params={"db": "clinvar", "term": query, "retmax": retmax,
                "retmode": "json", "email": EMAIL}
    )
    r.raise_for_status()
    return r.json()["esearchresult"]["idlist"]

# Find pathogenic BRCA1 variants
ids = clinvar_search("BRCA1[gene] AND pathogenic[clinsig]", retmax=5)
print(f"Found variation IDs: {ids}")
```

## Core API

### Query 1: Search Variants by Gene and Clinical Significance

Use ESearch to find ClinVar Variation IDs matching a structured query.

```python
import requests

EMAIL = "your@email.com"
BASE = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils"

def esearch(query, retmax=200):
    r = requests.get(f"{BASE}/esearch.fcgi",
                     params={"db": "clinvar", "term": query,
                             "retmax": retmax, "retmode": "json", "email": EMAIL})
    r.raise_for_status()
    result = r.json()["esearchresult"]
    return result["idlist"], int(result["count"])

# Gene-specific pathogenic variants
ids, total = esearch("BRCA2[gene] AND (pathogenic[clinsig] OR likely pathogenic[clinsig])")
print(f"Pathogenic/LP BRCA2 variants: {total} total, retrieved {len(ids)}")
print(f"First 5 IDs: {ids[:5]}")
```

```python
# By rsID
ids, _ = esearch("rs80357906[rs]")
print(f"Variant IDs for rs80357906: {ids}")

# By condition name
ids, total = esearch("breast cancer[dis] AND pathogenic[clinsig]")
print(f"Pathogenic variants for breast cancer: {total}")
```

### Query 2: Fetch Variant Summary Records

Retrieve structured summary data (JSON) for a list of Variation IDs.

```python
import requests, json

EMAIL = "your@email.com"
BASE = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils"

def esummary(ids):
    """Fetch ESummary records for a list of ClinVar variation IDs."""
    r = requests.post(f"{BASE}/esummary.fcgi",
                      data={"db": "clinvar", "id": ",".join(ids),
                            "retmode": "json", "email": EMAIL})
    r.raise_for_status()
    return r.json()["result"]

ids, _ = esearch_func = lambda q: requests.get(
    f"{BASE}/esearch.fcgi",
    params={"db": "clinvar", "term": q, "retmax": 5, "retmode": "json", "email": EMAIL}
).json()["esearchresult"]["idlist"]

# Manual example with known IDs
sample_ids = ["12375", "17684", "54270"]
result = esummary(sample_ids)

for vid in result.get("uids", []):
    rec = result[vid]
    # ClinVar 2024 schema: clinical_significance was replaced by germline_classification
    # (also: clinical_impact_classification, oncogenicity_classification — same shape, often empty)
    gc = rec.get("germline_classification", {})
    print(f"\nVariation {vid}: {rec.get('title')}")
    print(f"  ClinSig  : {gc.get('description')}")
    print(f"  Review   : {gc.get('review_status')}")
    print(f"  Gene     : {rec.get('genes', [{}])[0].get('symbol')}")
```

### Query 3: Fetch Full XML Records

Retrieve the complete variant record in XML for detailed submitter and condition data.

```python
import requests
import xml.etree.ElementTree as ET

EMAIL = "your@email.com"
BASE = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils"

def efetch_xml(variation_ids):
    # ClinVar 2024 XML overhaul: "clinvarset" rettype returns an empty stub.
    # Use rettype="vcv" + is_variationid="true" to get the new <VariationArchive> records.
    r = requests.post(f"{BASE}/efetch.fcgi",
                      data={"db": "clinvar", "id": ",".join(variation_ids),
                            "rettype": "vcv", "is_variationid": "true",
                            "retmode": "xml", "email": EMAIL})
    r.raise_for_status()
    return ET.fromstring(r.text)

root = efetch_xml(["17677"])  # BRCA1 c.5266dupC (rs80357906)

# Aggregate (germline) classification — one per VariationArchive
for va in root.iter("VariationArchive"):
    name = va.get("VariationName")
    gc = va.find("./ClassifiedRecord/Classifications/GermlineClassification")
    desc = gc.find("Description") if gc is not None else None
    rstat = gc.find("ReviewStatus") if gc is not None else None
    print(f"{name}: {desc.text if desc is not None else 'n/a'} "
          f"({rstat.text if rstat is not None else 'n/a'})")

    # Per-submitter assertions
    for ca in va.iter("ClinicalAssertion"):
        acc = ca.find("ClinVarAccession")
        cls = c
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