RMST, variants, traits, and what the research shows

RMST - what this gene does

Variants in the RMST gene have been catalogued across genome-wide association studies (GWAS - a study design that scans thousands or millions of people's DNA for variants statistically linked to a particular trait) covering metabolic conditions, neurological traits, cancer, and rare disease. Based on the variant data on file, metabolic and neurological categories each contain multiple independent associations, making them the most frequently represented themes for this gene.

Key takeaways

• RMST has variants linked to metabolic conditions, neurological traits, cancer risk, rare disease, and pharmacogenomics (the study of how genetic differences influence medication response)
• The two strongest signals in the dataset are rs11109072 (metabolic) and rs369608544 (cancer), both at the highest magnitude tier on file
• Five separate neurological-trait variants cluster within this gene, a pattern that carries more weight than a single isolated finding
• Six metabolic-trait variants are recorded, making metabolic associations the most numerically represented category for this gene
• All findings are population-level statistical associations, not individual-level predictions

Notable variants

The two highest-magnitude signals are rs11109072, linked to a metabolic trait, and rs369608544, linked to a cancer-category trait, each scoring 4.50 on the evidence-weighted magnitude scale. At the next tier (magnitude 2.80), rs75718479 contributes a second cancer-category association, and rs7963257 is flagged for a rare disease trait. A cluster of five neurological-trait variants, rs10128888, rs10507085, rs10860215, rs11109043, and rs12304188, all sit at magnitude 2.20. The pharmacogenomics-flagged variant rs111796534 also falls in this tier.

Trait associations

Metabolic traits appear most frequently across this gene's variant list, with associations catalogued for rs11109072, rs10777859, rs10860209, rs11109038, rs113036477, and rs12372115, totaling six entries. Cancer-category associations are on file for rs369608544 and rs75718479, appearing at two different magnitude tiers, which in GWAS research generally lends more credibility to a signal than a single finding alone. Neurological trait associations span five variants: rs10128888, rs10507085, rs10860215, rs11109043, and rs12304188. A rare disease signal is recorded for rs7963257, and pharmacogenomics relevance is noted for rs111796534.

Evidence quality

The RMST variant dataset contains 52 entries in total, with 17 carrying prior published research summaries. The two peak-magnitude variants, rs11109072 and rs369608544 at 4.50, represent the strongest catalogued signals, but specific effect sizes such as odds ratios or beta coefficients and individual cohort sizes are not available in the current summary data. All associations on file derive from GWAS methodology, which establishes statistical correlations in large populations but does not by itself demonstrate causation. The breadth of trait categories covering metabolic, neurological, cancer, rare disease, and pharmacogenomics may reflect genuine pleiotropy (a single locus influencing multiple biological pathways), linkage disequilibrium (nearby variants being co-inherited with the true causal variant), or differences in study populations and methods across research groups. Individual SNP entries should be evaluated against the specific study designs and sample sizes described therein.

What this is NOT

These variants are population-level statistical signals, not deterministic predictors of any trait or condition for any individual. Nothing in this entry constitutes medical advice, a diagnosis, or a recommendation for any course of action.