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tooluniverse-gwas-trait-to-gene
维护者 FreedomIntelligence · 最近更新 2026年4月1日
This skill enables systematic discovery of genes linked to diseases/traits by analy.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-gwas-trait-to-gene
- 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
- Discover genes associated ,支持 diseases 、 traits ,使用 genome-wide association studies (GWAS)。
- GWAS Catalog (EBI/NHGRI):Curated catalog of published GWAS ,支持 >500,000 associations。
- Open Targets Genetics:Fine-mapped GWAS signals ,支持 locus-to-gene (L2G) predictions。
- This skill enables systematic discovery of genes linked to diseases/traits by analyzing GWAS data ,面向 two major resources:GWAS Catalog (EBI/NHGRI):Curated catalog of published GWAS ,支持 >500,000 associations Open Targets Genetics:Fine-mapped GWAS signals ,支持 locus-to-gene (L2G) predictions。
原始文档
SKILL.md 摘录
Use Cases
Clinical Research
- "What genes are associated with type 2 diabetes?"
- "Find genetic risk factors for coronary artery disease"
- "Which genes contribute to Alzheimer's disease susceptibility?"
Drug Target Discovery
- Identify genes with strong genetic evidence for disease causation
- Prioritize targets based on L2G scores and replication across studies
- Find genes with genome-wide significant associations (p < 5e-8)
Functional Genomics
- Map disease-associated variants to candidate genes
- Analyze genetic architecture of complex traits
- Understand polygenic disease mechanisms
Key Concepts
Genome-wide Significance
- Standard threshold: p < 5×10⁻⁸
- Accounts for multiple testing burden across ~1M common variants
- Higher confidence: p < 5×10⁻¹⁰ or replicated across studies
Gene Mapping Methods
- Positional: Nearest gene to lead SNP
- Fine-mapping: Statistical refinement to credible variants
- Locus-to-Gene (L2G): Integrative score combining multiple evidence types
Evidence Confidence Levels
- High: L2G score > 0.5 OR multiple studies with p < 5e-10
- Medium: 2+ studies with p < 5e-8
- Low: Single study or marginal significance
GWAS Catalog (11 tools)
gwas_get_associations_for_trait- Get all associations for a trait (sorted by p-value)gwas_search_snps- Search SNPs by gene mappinggwas_get_snp_by_id- Get SNP details (MAF, consequence, location)gwas_get_study_by_id- Get study metadatagwas_search_associations- Search associations with filtersgwas_search_studies- Search studies by trait/cohortgwas_get_associations_for_snp- Get all associations for a SNPgwas_get_variants_for_trait- Get variants for a traitgwas_get_studies_for_trait- Get studies for a traitgwas_get_snps_for_gene- Get SNPs mapped to a genegwas_get_associations_for_study- Get associations from a study
适用场景
- 适合在asked to find genes associated ,支持 disease 或 trait,discover genetic risk factors,translate GWAS signals to gene targets,或 answer questions like "What genes are associated ,支持 type 2 diabetes?"时使用。
不适用场景
- Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。
上游相关技能
- Variant-to-Disease Association: Look up specific SNPs (e.g., rs7903146 → T2D)
- Gene-to-Disease Links: Find diseases associated with known genes
- Drug Target Prioritization: Rank targets by genetic evidence
- Population Genetics Analysis: Compare allele frequencies across populations
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