Turning gene and variant data into actionable insights for drug discovery, target prioritization, and clinical genomics just got faster and easier with DISGENET v25.3.
DISGENET version 25.2 includes:
- Clinically-Validated Data You Can Rely On — GenCC & ClinGen Variants have been added as new sources to the already extensive dataset.
- Interactive Disease-Disease Exploration — don’t just see how many overlapping genes two diseases share, but analyze them in depth thanks to our new interactive Disease-Disease Association (DDA) tables.
- Web-Based Disease Enrichment Analysis — turn your gene or variant lists into acrtionable disease insights, no coding required.
- Improved Advanced Search — Simply type in the disease or gene name and forget searching for fiddly technical identifiers.
Clinically-Validated Data You Can Rely On
Two New Curated Data Sources
DISGENET already brings together an enormous collection of gene–disease and variant–disease associations—from expert curated resources, biobanks, clinical trials, and the latest scientific literature in a single platform.
This release adds two new clinically-validated sources, raising the bar for high-confidence discovery and translational insight:
- GenCC adds consensus-backed, expert-validated gene–disease associations, so your team can prioritize associations with the strongest clinical evidence.
- ClinGen Variants provides FDA-recognized pathogenicity classifications, giving you trusted variant-level insights enabling confident decisions in precision medicine, target validation, and patient stratification.
These curated sources let your team make faster, more confident decisions and prioritize high-value targets—all within the same platform you already trust.
Explore Shared Genes & Variants
Interactive DDA Tables
Previously, Disease-Disease Associations (DDAs) gave you a simple overview. Now, you can uncover actionable biology and prioritize targets with precision.
See exactly which genes or variants overlap between two diseases, with context on their disease relevance, pleiotropy, and biological constraint. This lets you move from simple association to hypothesis faster.
How You Can Use It
Accelerating Drug Repurposing
Highlight critical gene and variant overlaps to uncover repurposing opportunities and accelerate target prioritization, helping your team bring new therapies to market faster.
Revealing Cross-Disease Targets
Pinpoint cross-disease targets to focus R&D resources on the most promising opportunities and support data-driven investment decisions.
Driving Biomarker Discovery
Identify candidate biomarkers to support patient stratification and accelerate translational validation, converting sequencing data into clinical decisions.
With this update, Disease-Disease Associations evolve from just a static view into a discovery engine.
Explore Disease Links in a Few Clicks
Web Disease Enrichment Analysis
Perform overrepresentation analysis on your gene or variant lists — without writing a single line of code.
Copy and paste your list and instantly gain insights, connecting experimental hits or patient-derived variants to the rich disease knowledge in DISGENET.
It’s common to generate gene or variant lists from GWAS, CRISPR screens, RNA-seq, or patient sequencing.
Disease Enrichment Analysis helps you:
- Identify disease associations immediately for your input sets
- Explore clinical relevance without scripting
- Accelerate hypothesis generation and translational insights
How You Can Use It
Prioritizing Targets and Opportunities
Rapidly map hit genes to disease contexts and prioritize high-value targets. Accelerate indication discovery and uncover repurposing opportunities—streamlining your R&D workflow in a fast, intuitive web interface.
Interpreting Patient Variants
Map patient-derived genes or variants to associated diseases in seconds, supporting diagnostic and translational workflows. Turn sequencing data into insights for biomarker discovery, cohort analysis, and patient stratification.
Transform your custom gene or variant lists into disease insights—just a few clicks away.
Search the Way You Think
New Advanced Search
Finding genes, variants, or diseases shouldn’t require memorizing technical identifiers. With DISGENET’s Advanced Search, it doesn’t.
Now, plain-language queries for genes, diseases, or chromosome coordinates are automatically mapped to standardized identifiers, eliminating the need for CUIs, MeSH IDs, OMIM codes, or exact variant IDs.
By simplifying data access, Advanced Search accelerates analysis, reduces errors, and helps teams make faster, more informed decisions.
Workflow Improvements That Make Your Life Easier
We’ve made a couple of small—but meaningful—improvements that make DISGENET even easier to use and share.
File Downloads: All Your Data, Ready to Go
Downloading search results now keeps your filters and selected columns. More importantly, the parameters of the search and filters are provided in a metadata file. Files are compressed and ready to use, so sharing or reproducing results takes no extra effort.
Clinical Trials: One Click to Details
The N Clinical Trial field is now clickable, taking you directly to detailed trial information. No more searching external sites—instant access saves you time.
See DISGENET In Action?
Book a personalized demo to see how DISGENET v25.3 can accelerate your team’s drug discovery, target prioritization and biomarker insights.