bio-causal-genomics-mendelian-randomization SKILL.md skillA

bio-causal-genomics-mendelian-randomization from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fridrichmethod/awesome-skills/bio-causal-genomics-mendelian-randomization@git:20260517.81511a7

Pins git:20260517.81511a7 in mdr.lock. Pin the fingerprint instead.

Audit grade
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Kind
SKILL.md skill
Repository
fridrichmethod/awesome-skills
Path
skills/bio-causal-genomics-mendelian-randomization/SKILL.md
Versions recorded
1
Latest version
git:20260517.81511a7, committed May 17, 2026
Size
8,724 bytes
Repository stars
15
License
a license file GitHub does not identify

Estimate causal effects between exposures and outcomes using genetic variants as instrumental variables with TwoSampleMR. Implements IVW, MR-Egger, weighted median, and MR-PRESSO methods for robust causal inference from GWAS summary statistics. Use when testing whether an exposure causally affects an outcome using genetic instruments.

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: TwoSampleMR 0.5+, MendelianRandomization 0.9+

Before using code patterns, verify installed versions match. If versions differ:
- R: `packageVersion("<pkg>")` then `?function_name` to verify parameters

If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.

# Mendelian Randomization

**"Test whether my exposure causally affects this outcome using GWAS data"** → Use genetic variants as instrumental variables to estimate causal effects from GWAS summary statistics, applying IVW, MR-Egger, and weighted median methods for robust inference.
- R: `TwoSampleMR::mr()` for multi-method causal estimation
- R: `MendelianRandomization::mr_ivw()` for individual methods

## Core Concepts

Mendelian randomization (MR) uses genetic variants as instrumental variables (IVs) to estimate
causal effects of exposures on outcomes. Valid instruments must satisfy three assumptions:

1. **Relevance** - The variant is associated with the exposure (F-statistic > 10)
2. **Independence** - The variant is not associated with confounders
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fridrichmethod/awesome-skills/bio-causal-genomics-mendelian-randomization@sha256:4252e2bd81fb8267

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yuesxaghxs6zq7i5.svg)](https://markdownregistry.com/a/art_yuesxaghxs6zq7i5)

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Versions

The registry has recorded 1 version of this file, committed on May 17, 2026.

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git:20260517.81511a7 latest2026-05-17 81511a7 8,724 BA view

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  • pass: Size between 200 bytes and 200 KB (8724 bytes)
  • pass: No zero-width or bidi control characters
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Source

GitHub

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_yuesxaghxs6zq7i5
GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/bio-causal-genomics-mendelian-randomization
GET https://markdownregistry.com/api/v1/blob/4252e2bd81fb8267a5137156fed1d95b9b6189ad2020a40238b04bed614f8c53

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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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