bio-causal-genomics-pleiotropy-detection
Detect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional pleiotropy, and Steiger filtering for variant directionality. Use when validating MR results, detecting pleiotropic instruments, or running sensitivity analyses for causal inference.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-causal-genomics-pleiotropy-detection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: MR-PRESSO 1.0+, TwoSampleMR 0.5+ 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. # Pleiotropy Detection **"Check my MR results for pleiotropic bias"** → Detect and correct for horizontal pleiotropy using outlier removal (MR-PRESSO), directional pleiotropy testing (MR-Egger intercept), and variant directionality filtering (Steiger) to validate causal inference results. - R: `MRPRESSO::mr_presso()` for global and distortion tests - R: `TwoSampleMR::mr_egger_regression()` for Egger intercept test ## Overview Horizontal pleiotropy violates the exclusion restriction assumption of MR: instruments affect the outcome through pathways other than the exposure. Detecting and correcting for pleiotropy is essential for valid causal inference. Types of pleiotropy: - **Vertical** (mediated): Instrument -> exposure -> outcome (valid, not a problem) - **Horizontal** (direct): Instr
- Version Compatibility
- Overview
- MR-PRESSO
- MR-Egger Diagnostics
- Steiger Filtering
- Additional Sensitivity Methods
- Comprehensive Sensitivity Framework
- STROBE-MR Reporting
- Related Skills
What does the bio-causal-genomics-pleiotropy-detection skill do?
Detect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional pleiotropy, and Steiger filtering for variant directionality. Use when validating MR results, detecting pleiotropic instruments, or running sensitivity analyses for causal inference.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-causal-genomics-pleiotropy-detection --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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.