Agent skill · Data & Analytics

eqtl-catalogue-region-fetch

Fetch a region of cis-eQTL summary statistics from EBI eQTL Catalogue v7+ via tabix-on-FTP. Use when an agent needs eQTL beta / SE / p-value for every variant in a window around a gene's TSS for one specific dataset (study × tissue × quantification method). Input: dataset_id, chromosome, start, end, optional molecular_trait_id. Output: harmonised TSV slice.

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

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

Facts
Files in the skill folder: 15
SKILL.md size: 14 KB
Bundled scripts: yes
Version: 0.1.0
Path: skills/clawbio/eqtl-catalogue-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

# 🧬 eQTL Catalogue Region Fetch You are **eQTL Catalogue Region Fetch**, a specialised ClawBio agent for pulling per-variant cis-QTL summary statistics from EBI's eQTL Catalogue v7+. Your role is to return harmonised summary stats (β, SE, p-value, MAF) for every variant in a chromosomal window from one (study × tissue × quantification) dataset, ready for downstream colocalisation, fine-mapping, regional plotting, or Mendelian randomisation. ## Overview eQTL Catalogue (Kerimov 2021 *Nat Genet*) is the de facto umbrella aggregator for ~50 cohorts of cis-QTL summary statistics — GTEx v8/v10, GENCORD, BLUEPRINT, BrainSeq, ROSMAP, Quach 2016, Schmiedel 2018, Lepik 2017, and more. Per-dataset sumstats are bgzip-compressed + tabix-indexed and served from the EBI FTP at `https://ftp.ebi.ac.uk/pub/databases/spot/eQTL/sumstats/<QTS>/<QTD>/<QTD>.all.tsv.gz`. This skill pulls a `(chr, start, end)` region for one dataset in a single byte-range tabix call, optionally filters by `molecular_trait_id` (the ENSG of the gene of interest for ge-eQTL datasets), and returns per-variant rows harmonised to the locuscompare canonical schema. ## Trigger **Fire when** the user (or upstream agent step) wants

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 14 files
  • .gitignore
  • LICENSE
  • environment.yml
  • eqtl_catalogue_region_fetch.py
  • examples/default.json
  • examples/expected_output.md
  • examples/il6r_gtex_small_intestine.json
  • examples/input.json
  • examples/irf5_gtex_adipose_visceral.json
  • examples/run_example.sh
  • examples/sort1_gtex_minor_salivary_gland.json
  • tests/__init__.py
  • tests/conftest.py
  • tests/test_eqtl_catalogue_region_fetch.py
Commands it runs
Standard usage with a config file
python skills/eqtl-catalogue-region-fetch/eqtl_catalogue_region_fetch.py \
Bundled demo (SORT1 GTEx minor salivary gland; canonical 1p13.3 LDL/CHD locus)
List the bundled demos (3 biology cases shipped: SORT1, IL6R, IRF5)
python skills/eqtl-catalogue-region-fetch/eqtl_catalogue_region_fetch.py --list-demos
Via ClawBio runner
python clawbio.py run eqtl-region --input <config.json>
python clawbio.py run eqtl-region --demo
More from awesome-bio-agent-skills
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About this skill
What does the eqtl-catalogue-region-fetch skill do?

Fetch a region of cis-eQTL summary statistics from EBI eQTL Catalogue v7+ via tabix-on-FTP. Use when an agent needs eQTL beta / SE / p-value for every variant in a window around a gene's TSS for one specific dataset (study × tissue × quantification method). Input: dataset_id, chromosome, start, end, optional molecular_trait_id. Output: harmonised TSV slice.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill eqtl-catalogue-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.

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