mendelian-randomisation
CommunityAnalyze genetic association using Mendelian Randomization
Data & Analytics#causal inference#genetic epidemiology#GWAS#genetic association#mendelian randomization
AuthorMubasherMohammed
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies and automates Mendelian Randomization analysis for causal inference, saving users the need to manually handle complex calculations and statistical diagnostics.
Core Features & Use Cases
- Estimation Methods: Supports multiple Mendelian Randomization estimators (IVW, MR-Egger, weighted median/mode, full sensitivity analysis).
- Causal Inference: Determines potential causal relationships between genetic markers and diseases/traits.
- Use Case: A user wants to explore if a particular gene variant is associated with an increased risk of a certain disease. They would input their genetic and disease outcome data, and this skill would output the causal effect estimate along with sensitivity analysis.
Quick Start
Run Mendelian Randomization analysis for genetic association by inputting the genetic instrument file 'instruments.json' and specify the output directory 'output'.
Dependency Matrix
Required Modules
numpyscipymatplotlib
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mendelian-randomisation Download link: https://github.com/MubasherMohammed/opencode-BioInfo/archive/main.zip#mendelian-randomisation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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