What problem does it solve?
Determining whether a gene is genuinely associated with a disease requires checking many databases that disagree with each other, and manually reconciling DisGeNET, OpenTargets, Monarch, OMIM, GenCC, and Orphanet results is slow and error-prone.
Core Features & Use Cases
- Multi-database triangulation: Query DisGeNET, OpenTargets, Monarch Initiative, OMIM, GenCC, and Orphanet in one workflow and merge results into a unified association table.
- Concordance scoring: Count how many independent sources support each association (e.g., 5/6 sources agree) to grade evidence strength and distinguish Mendelian from complex associations.
- ID resolution and fallbacks: Resolve gene symbols to Ensembl/HGNC/MIM identifiers and disease names to MONDO/UMLS/EFO identifiers, with documented fallbacks when DisGeNET or OMIM API keys are missing.
- Use Case: Given the gene BRCA1, produce an evidence-graded report listing associated diseases such as breast and ovarian cancer, with per-database scores, GenCC validity classifications, and variant-level ClinVar evidence.
Quick Start
Ask the agent to analyze which diseases are associated with the gene BRCA1 across all available databases and produce a concordance-scored report.