A collaborative platform for clinicians and researchers with inflammatory eye disease phenotyping and genomic datasets
The new overview and joining note explain why inflammatory eye disease genetics needs long-term, harmonised international collaboration.
Building a global framework for genomic discovery
Large sample sizes are essential for discovery and replication.
Consistent phenotyping and data standards enable meaningful meta-analysis.
Including diverse ancestries improves generalizability and equity.
Transparent governance and data sharing build sustainable collaboration.
In complex immune-mediated diseases, the biggest gains usually come after years of cohort growth, harmonisation, and repeated meta-analysis.
Long-running collaboration progressed from early GWAS hits to 200+ loci, functional genomics, and severity genetics.
Large-scale collaboration took years to reach 600k+ samples, enabling robust locus discovery and translational pathway work.
Uveitis is rare, clinically heterogeneous, and underpowered in isolated cohorts, so the consortium must mature before translation is realistic.
Become part of a global effort to transform inflammatory eye disease research
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