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tooluniverse-gwas-study-explorer
维护者 FreedomIntelligence · 最近更新 2026年4月1日
tooluniverse-gwas-study-explorer：GWAS Study Deep Dive & Meta-Analysis skill enables comprehensive comparison of genome-wide association studies (GWAS) ，用于 same trait，meta-analysis of genetic loci across studies，、 systematic assessment of replication 、 study quality。 It integrates data ，面向 NHGRI-EBI GWAS Catalog 、 Open Targets Genetics to provide complete picture of genetic architecture of complex traits。
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-gwas-study-explorer
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- 比较 GWAS studies，perform meta-analyses，、 assess replication across cohorts。
- GWAS Study Deep Dive & Meta-Analysis skill enables comprehensive comparison of genome-wide association studies (GWAS) ，用于 same trait，meta-analysis of genetic loci across studies，、 systematic assessment of replication 、 study quality. It integrates data ，面向 NHGRI-EBI GWAS Catalog 、 Open Targets Genetics to provide complete picture of genetic architecture of complex traits。
原始文档
SKILL.md 摘录
Key Capabilities
- Study Comparison: Compare all GWAS studies for a trait, assessing sample sizes, ancestries, and platforms
- Meta-Analysis: Aggregate effect sizes across studies and calculate heterogeneity statistics
- Replication Assessment: Identify replicated vs novel findings across discovery and replication cohorts
- Quality Evaluation: Assess statistical power, ancestry diversity, and data availability
1. Comprehensive Trait Analysis
Scenario: "I want to understand all available GWAS data for type 2 diabetes"
Workflow:
- Search for all T2D studies in GWAS Catalog
- Filter by sample size and ancestry
- Extract top associations from each study
- Identify consistently replicated loci
- Assess ancestry-specific effects
Outcome: Complete landscape of T2D genetics with replicated findings and population-specific signals
2. Locus-Specific Meta-Analysis
Scenario: "Is the TCF7L2 association with T2D consistent across all studies?"
Workflow:
- Retrieve all TCF7L2 (rs7903146) associations for T2D
- Calculate combined effect size and p-value
- Assess heterogeneity (I² statistic)
- Generate forest plot data
- Interpret heterogeneity level
Outcome: Quantitative assessment of effect size consistency with heterogeneity interpretation
适用场景
- 适合在comparing GWAS studies ，用于 trait，performing meta-analysis of genetic loci，assessing replication across cohorts，或 exploring genetic architecture of complex diseases时使用。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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