MIR9-2HG, variants, traits, and what the research shows

MIR9-2HG - what this gene does

This gene's catalogued variants, drawn from GWAS (genome-wide association study - a study that scans many people's genomes for variants statistically associated with a trait) research, cluster most visibly around mental health, vision, and metabolic trait categories.

Key takeaways

• Multiple variants in this gene are associated with mental health traits in large-scale genetic research.
• Several variants point to associations with vision-related traits.
• Metabolic, cardiovascular, and coagulation traits also appear across this gene's variant set.
• Mental health is the most represented trait category, with at least eight variants showing this association.
• All associations are population-level statistical signals, not individual predictions.

Notable variants

Among 101 variants on file, those with the highest recorded magnitudes (4.50) include mental health-associated rs10068637 and rs114369210, along with vision-associated rs17421627 and rs2194025. A metabolic association at the same magnitude level is carried by rs115114609. At lower magnitudes (2.20), cardiovascular signals appear in rs10042588 and rs112862634, and a coagulation signal in rs10514301.

Trait associations

Mental health is the dominant trait category, represented by at least eight variants including rs10068637, rs114369210, rs1644039, rs2067919, rs35267052, rs56324019, rs6882046, and rs10061788. This multi-variant convergence on a single trait category is noteworthy relative to isolated single-variant associations. Vision traits appear across four high-magnitude variants: rs150488004, rs17421627, rs2194025, and rs73173548. Metabolic associations are present in both rs115114609 and rs10070734. Cardiovascular signals appear in rs10042588 and rs112862634, and a coagulation signal in rs10514301.

Evidence quality

The variant set is drawn from GWAS research, with 18 of 101 catalogued variants carrying published summaries. The highest-magnitude entries score 4.50, with a second cluster at 2.20, but detailed effect sizes (odds ratios, beta coefficients) and sample sizes are not available in the current data, limiting direct comparison across variants. No ClinVar classifications are noted in the provided information. The multi-variant convergence on mental health traits is the most noteworthy pattern in this dataset, but without replication data and effect sizes, the clinical relevance of individual associations cannot be assessed.

What this is NOT

These variants are population-level statistical signals identified in GWAS research, not deterministic predictors for any individual person's health. Nothing here constitutes medical advice, a diagnosis, or a recommendation for any action.