CTNNA3, variants, traits, and what the research shows

CTNNA3 - what this gene does

Based on the variants catalogued here, CTNNA3 is linked to cardiovascular traits across all 20 of its highest-priority entries. Without SNP-level summaries yet available, a more precise description of its biological role is not supported by the current data.

Key takeaways

• CTNNA3 has 649 catalogued variants, with all 20 highest-priority entries associated with cardiovascular traits
• Every listed variant carries a magnitude score of 5.50 in the cardiovascular category
• 47 of the 649 variants have prior research summaries, though full SNP-level details are still being compiled
• These associations are population-level statistical signals, not predictions for any individual

Notable variants

All 20 highest-priority variants share a magnitude score of 5.50 and a cardiovascular trait classification. The leading entries include rs111425421, rs1292553472, rs1364739747, rs139105272, rs145043626, rs147116577, rs187752783, and rs190073606. The remaining high-priority entries - rs199852825, rs201810511, rs370269225, rs372808360, rs377404952, rs41313840, rs530727340, rs540006729, rs545174357, rs551887944, rs587777134, and rs587777135 - round out the current set, all carrying the same cardiovascular label.

Trait associations

Every variant in the listed dataset maps to the cardiovascular trait category. The uniform classification across all 20 highest-priority entries - spanning a broad range of rsids - suggests that this gene's research footprint is concentrated in cardiovascular biology. As SNP-level summaries are added, more granular breakdowns such as specific cardiovascular conditions or measurable biomarkers will become available.

Evidence quality

649 variants are on file for this gene, with 47 carrying prior research summaries; however, no detailed summaries are yet surfaced in this entry. The 20 listed variants all share a magnitude score of 5.50 - a composite of effect size and evidence strength - and a cardiovascular trait label. Without individual study details such as sample sizes, replication cohorts, or effect sizes (for example, odds ratios or beta coefficients), the depth and replication status of each signal cannot be assessed from the current data alone. These should be treated as preliminary signals pointing toward cardiovascular research involvement, pending fuller SNP-level documentation.

What this is NOT

These variants represent population-level statistical signals from studies that scanned many people's genomes (GWAS - genome-wide association studies) - they are not deterministic predictors for any individual's health outcomes. Nothing presented here constitutes medical advice, a diagnosis, or a recommendation to take any action.