SMG6, variants, traits, and what the research shows

SMG6 - what this gene does

SMG6 appears in catalogued genomic research primarily through cardiovascular and neurological trait associations; without detailed mechanistic data in the current dataset, the trait themes represent the clearest signal available to describe.

Key takeaways

• Four of the five highest-magnitude variants in this gene are linked to cardiovascular traits.
• One high-magnitude variant adds a separate neurological association to this gene's profile.
• 226 variants are catalogued in this gene, with 21 carrying prior published research summaries.
• Multiple independent cardiovascular variants pointing in the same direction strengthens that signal relative to a single isolated hit.
• All associations here are population-level statistical signals from genomic research - not predictions for any individual.

Notable variants

Five variants reach the highest magnitude tier (4.50) in this dataset. Four of them - rs11078865, rs11651451, rs7225623, and rs903162 - are tagged with cardiovascular trait associations, and published editorial pages exist for rs11078865 and rs11651451. The fifth top-magnitude variant, rs16952025, carries a neurological trait association. A second tier of variants - including rs1161290704, rs1182105893, rs138966738, and rs139316597, among others - sits at magnitude 3.00 but currently lacks detailed trait metadata in this dataset.

Trait associations

Cardiovascular traits dominate the known associations for this gene, with four magnitude-4.50 variants - rs11078865, rs11651451, rs7225623, and rs903162 - all pointing to the same broad domain. The convergence of multiple independent cardiovascular signals within a single gene is generally considered a stronger indicator than a lone variant hit. A distinct neurological signal appears at rs16952025, also at the highest magnitude tier. The lower-magnitude variants (3.00) catalogued here do not yet carry trait labels, limiting conclusions about their relevance to either theme.

Evidence quality

The five magnitude-4.50 variants represent the best-evidenced signals on file; published pages exist for two of them (rs11078865 and rs11651451). However, specific effect sizes - such as odds ratios (a measure of how much a variant shifts the likelihood of a trait) or beta coefficients - and cohort sample sizes are not present in the current dataset, so the practical magnitude of each association cannot be assessed from this entry alone. The 21 variants described as carrying prior research summaries represent fewer than ten percent of the full 226-variant catalogue, and the majority of lower-magnitude variants lack trait annotations entirely. Independent review of primary literature is necessary before drawing substantive conclusions.

What this is NOT

These variants are population-level statistical associations discovered in genomic studies (GWAS - studies that scan many people's genomes for variants statistically linked to a trait) - they are not deterministic predictors of any disease or outcome for any individual. Nothing in this entry constitutes a diagnosis, clinical recommendation, or medical advice.