数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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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.

OpenClawNanoClaw分析处理复现实验tooluniverse-gwas-trait-to-gene🏥 medical & clinicalmedical toolsdiscover

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

2 min

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 mapping
  • gwas_get_snp_by_id - Get SNP details (MAF, consequence, location)
  • gwas_get_study_by_id - Get study metadata
  • gwas_search_associations - Search associations with filters
  • gwas_search_studies - Search studies by trait/cohort
  • gwas_get_associations_for_snp - Get all associations for a SNP
  • gwas_get_variants_for_trait - Get variants for a trait
  • gwas_get_studies_for_trait - Get studies for a trait
  • gwas_get_snps_for_gene - Get SNPs mapped to a gene
  • gwas_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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