scientific-opentargets-genetics

To fetch target-disease association scores, query the Open Targets Platform GraphQL API using a valid Ensembl ID. The skill retrieves structured association scores and detailed disease information to support target prioritization in research pipelines.

Locus-to-gene (L2G) mapping identifies the most likely causal gene at a GWAS locus. You need L2G mapping when interpreting GWAS variants, prioritizing loci, and connecting genetic associations to specific target genes.

Yes, you can retrieve drug evidence with mechanisms of action and clinical context for prioritized targets. The skill queries the Open Targets GraphQL API to enrich target data with pharmacological evidence.

No, this skill has zero dependencies and requires no specific environment setup. It directly implements Open Targets Platform GraphQL API calls and processes responses into structured data for immediate downstream analysis.

The best way to integrate Open Targets genetics data is to use this skill to query the GraphQL API, which processes target-disease associations, drug evidence, and L2G mappings into structured data formats ready for your downstream pipelines.

Limitations include reliance on the Open Targets Platform API availability and query complexity constraints inherent to GraphQL. Ensure your Ensembl IDs and variant data are accurately formatted to avoid retrieval errors.