RBMS3, variants, traits, and what the research shows

RBMS3 - what this gene does

RBMS3 is a human gene whose variants have been linked in genomic research to at least six trait categories: vision, kidney function, nutrition, cancer, neurological conditions, and liver-related outcomes. The available data does not include enough detail to characterize the gene's molecular function, but the range of associations across 131 catalogued variants is documented below.

Key takeaways

• RBMS3 variants appear in research across six distinct areas: vision, kidney, nutrition, cancer, neurological conditions, and liver health.
• Fourteen variants reached the highest magnitude tier in this dataset, spanning all major trait categories.
• These are population-level statistical signals from genomic studies, not personal health predictions for any individual.
• The gene has 131 total catalogued variants, with 17 carrying prior research summaries.
• Effect sizes and replication status are not available for most variants in the current dataset.

Notable variants

The fourteen highest-magnitude variants all score 4.50, the top tier in this dataset. rs11917483 is associated with vision. rs141291445 is linked to kidney-related traits. rs150200887 is associated with nutrition-related measures. rs187420482 has been linked to cancer. rs2221154 shows an association with neurological traits. rs58260726 is tied to liver-related outcomes. Several additional top-magnitude variants - rs142836448, rs4016429, rs4133027, rs555760304, rs6549869, rs73828672, rs7630386, and rs79531236 - also reach this tier but lack trait annotations in the current dataset.

Trait associations

This gene's variants touch at least six distinct trait domains. Vision is represented by rs11917483. Kidney function is implicated by rs141291445. Nutritional phenotypes are associated with rs150200887. Cancer-related signals come from rs187420482. Neurological traits are linked to rs2221154. Liver-related outcomes are associated with rs58260726. The span of these associations across multiple organ systems and disease categories is notable, though the specific biological pathways connecting them are not derivable from the variant data available here.

Evidence quality

The fourteen top-tier variants (magnitude 4.50) represent the strongest signals in this dataset, with an additional lower-magnitude group (magnitude 3.00) contributing to the 131 total. Individual effect sizes (odds ratios or beta coefficients) and sample sizes are not included in the available data, making direct comparison of clinical significance across variants impossible at this time. These associations are expected to reflect GWAS (genome-wide association study - a method that scans many people's genomes for variants statistically linked to a trait) findings, which capture population-level correlations rather than causal mechanisms. Replication across independent cohorts is not confirmed from the provided data, and trait annotations are absent for eight of the fourteen top-magnitude variants, limiting interpretation. The published SNP page for rs11917483 is noted in the dataset but its detailed editorial content is not yet available.

What this is NOT

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