EYA1, variants, traits, and what the research shows

EYA1 - what this gene does

Variants in EYA1 are linked to trait themes spanning rare disease conditions, kidney function, hearing, and vision.

Key takeaways

• Multiple high-priority variants in this gene are associated with kidney-related conditions.
• Rare disease associations make up the largest single group among the top-ranked variants listed.
• Hearing and vision associations also appear among the highest-magnitude variants in this gene.
• All 20 top-listed variants carry a magnitude of 5.50, the highest rating among the listed entries.
• No individual effect sizes are yet available for these specific variants in this database.

Notable variants

Two variants carry hearing associations: rs121909195 and rs1554550637, both at magnitude 5.50. Vision is represented by rs121909197 at the same magnitude. In the kidney category, rs1131691667, rs121909202, and rs1240529273 all register at magnitude 5.50. Among the rare disease entries, rs121909198 and rs1481254965 share that same high magnitude rating. Each of these represents a high-priority signal in the current dataset, though detailed research summaries are not yet available for any of them.

Trait associations

This gene shows up across four trait categories in the current dataset. Kidney conditions are the most numerically represented, with eight variants pointing to kidney-related traits: rs1131691667, rs121909199, rs121909200, rs121909201, rs121909202, rs1240529273, rs139194909, and rs139717960. Nine variants fall under rare disease categories: rs1057520766, rs121909198, rs141779040, rs146687496, rs1481254965, rs148647933, rs1554542073, rs1554548840, and rs1554596461. Hearing associations appear for rs121909195 and rs1554550637. Vision is represented by rs121909197.

Evidence quality

All 20 prioritized variants carry a magnitude of 5.50. No published research summaries are yet linked to these specific variants in this database, meaning individual effect sizes, odds ratios (a measure comparing the likelihood of a trait between people with and without a given variant), sample sizes, and replication details are not available here. Without that information it is not possible to characterize whether these signals come from large multi-cohort GWAS studies (genome-wide association studies, which scan many people's genomes for variants statistically linked to a trait) or smaller single-cohort findings. The consistent high magnitude across all listed variants indicates they are considered high-priority entries, but the absence of summary metadata means each should be treated as a pointer for further investigation rather than a confirmed, well-replicated result.

What this is NOT

These variants are population-level statistical signals, not deterministic predictors for any individual. This page does not prescribe, diagnose, or advise any course of action.