bio-causal-genomics-fine-mapping SKILL.md skillA
bio-causal-genomics-fine-mapping from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fridrichmethod/awesome-skills/bio-causal-genomics-fine-mapping@git:20260517.81511a7Pins git:20260517.81511a7 in mdr.lock. Pin the fingerprint instead.
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- SKILL.md skill
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- fridrichmethod/awesome-skills
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skills/bio-causal-genomics-fine-mapping/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260517.81511a7, committed May 17, 2026
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- a license file GitHub does not identify
Identify likely causal variants within GWAS loci using SuSiE for sum of single effects regression and FINEMAP for shotgun stochastic search. Computes posterior inclusion probabilities and credible sets to prioritize variants for functional follow-up. Use when narrowing GWAS association signals to candidate causal variants or building credible sets for functional validation.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Version Compatibility
Reference examples tested with: ggplot2 3.5+
Before using code patterns, verify installed versions match. If versions differ:
- R: `packageVersion('<pkg>')` then `?function_name` to verify parameters
- CLI: `<tool> --version` then `<tool> --help` to confirm flags
If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.
# Fine-Mapping
**"Narrow my GWAS locus to the likely causal variant"** → Compute posterior inclusion probabilities (PIPs) for each variant and construct credible sets containing the causal variant at a specified confidence level, accounting for LD and multiple causal signals.
- R: `susieR::susie_rss()` for SuSiE fine-mapping from summary statistics
- CLI: `finemap --sss` for shotgun stochastic search
## Overview
Fine-mapping narrows GWAS association signals to identify likely causal variants. Key outputs:
- **PIP** (Posterior Inclusion Probability) - Probability each variant is causal (0-1)
- **Credible set** - Minimal set of variants containing the causal variant at a given confidence level (e.g., 95%)
…Read the whole file at its exact version.
How to install
mdr add fridrichmethod/awesome-skills/bio-causal-genomics-fine-mapping@sha256:775f8710fec47f1dThe line at the top of this page pins the label git:20260517.81511a7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_hoiu5uiwbc3eskyc)
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Versions
The registry has recorded 1 version of this file, committed on May 17, 2026.
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Source
fridrichmethod/awesome-skills · 15 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hoiu5uiwbc3eskyc GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/bio-causal-genomics-fine-mapping GET https://markdownregistry.com/api/v1/blob/775f8710fec47f1d74789cd20360ba9d7597f058057c92e5488ee1e52ac682c0
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Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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