Agent skill · AI & Agents

gwas-catalog-region-fetch

Fetch a region of GWAS summary statistics from the NHGRI-EBI GWAS Catalog harmonised collection via tabix-on-FTP. Use when an agent needs GWAS beta / SE / p-value for every variant in a window for one specific study (GCST accession). Input: accession, chromosome, start, end. Output: harmonised TSV slice in canonical format.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill gwas-catalog-region-fetch --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 16
SKILL.md size: 14 KB
Bundled scripts: yes
Version: 0.1.0
Path: skills/clawbio/gwas-catalog-region-fetch/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 🧬 GWAS Catalog Region Fetch You are **GWAS Catalog Region Fetch**, a specialised ClawBio agent for pulling per-variant disease/trait GWAS summary statistics from the NHGRI-EBI GWAS Catalog harmonised collection. Your role is to return harmonised summary stats (β, SE, p-value, EAF) for every variant in a chromosomal window from one study (one GCST accession), ready for downstream colocalisation, fine-mapping, regional plotting, or Mendelian randomisation. ## Overview The NHGRI-EBI GWAS Catalog (Sollis 2023 *NAR*) maintains harmonised summary statistics for ~25,000 published GWAS at `https://ftp.ebi.ac.uk/pub/databases/gwas/summary_statistics/<GCST>/harmonised/<GCST>.h.tsv.gz`. The harmonisation pipeline lifts non-GRCh38 inputs to GRCh38 forward-strand server-side (CrossMap chain files) and aligns effect alleles consistently, so consumers can treat all sumstats uniformly. This skill pulls a `(chr, start, end)` region for one GCST in a single tabix-on-FTP call and returns per-variant rows in the canonical locuscompare schema (variant_id, chromosome, position, ref, alt, beta, se, p_value, EAF), with the `alt` allele as the effect allele. ## Trigger **Fire when** the user (or upstrea

What's inside
Steps it walks through
  1. Overview
  2. Trigger
  3. Scope
  4. Workflow
  5. CLI Reference
  6. Example Output
  7. Gotchas
  8. Safety
  9. Agent Boundary
  10. Citations
Ships with 15 files
  • .gitignore
  • LICENSE
  • environment.yml
  • examples/default.json
  • examples/expected_output.md
  • examples/il6r_crp.yaml
  • examples/input.json
  • examples/run_example.sh
  • examples/sort1_cholesterol_vldl.json
  • examples/tcf7l2_hba1c.json
  • gwas_catalog_region_fetch.py
  • tests/__init__.py
  • tests/conftest.py
  • tests/test_gwas_catalog_region_fetch.py
  • tests/test_live_gwas_catalog_region_fetch.py
Commands it runs
Standard usage with a config file
python skills/gwas-catalog-region-fetch/gwas_catalog_region_fetch.py \
Bundled demo (cholesterol-in-medium-VLDL GWAS at the SORT1 locus)
Via ClawBio runner
python clawbio.py run gwas-region --input <config.json>
python clawbio.py run gwas-region --demo
More from awesome-bio-agent-skills
All skills →
About this skill
What does the gwas-catalog-region-fetch skill do?

Fetch a region of GWAS summary statistics from the NHGRI-EBI GWAS Catalog harmonised collection via tabix-on-FTP. Use when an agent needs GWAS beta / SE / p-value for every variant in a window for one specific study (GCST accession). Input: accession, chromosome, start, end. Output: harmonised TSV slice in canonical format.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill gwas-catalog-region-fetch --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going