REEP3, variants, traits, and what the research shows

REEP3 - what this gene does

Variants in REEP3 have been identified across genome-wide association studies (GWAS - large-scale scans that look across many people's genomes for variants statistically associated with a trait) spanning neurological, metabolic, kidney, liver, and hormonal trait categories.

Key takeaways

• REEP3 carries variants associated with both neurological and metabolic traits
• Additional signals have been detected in kidney, liver, and hormonal biology
• The highest-priority variants in this gene include both neurological and metabolic associations
• 86 variants are catalogued across this gene, with 21 carrying prior research coverage
• All signals are population-level statistical associations, not individual health predictors

Notable variants

The three top-ranked variants - rs10822186, rs11812934, and rs12247907 - represent the strongest signals on file; rs11812934 is linked to a neurological trait and rs12247907 to a metabolic trait, while the trait detail for rs10822186 is not specified in the current record. Further signals include a kidney-related association at rs57917667, a liver association at rs10465964, and a hormonal association at rs10740134.

Trait associations

Neurological traits are flagged by rs11812934. Metabolic traits appear at rs12247907. A kidney-related signal is recorded at rs57917667. Liver biology is implicated at rs10465964. A hormonal trait association surfaces at rs10740134. The breadth of these categories - spanning the nervous system, metabolism, kidney, liver, and hormonal regulation - reflects a multi-system association landscape across this gene's 86 catalogued variants.

Evidence quality

The current record covers 86 variants in total, of which 21 carry prior research summaries; specific effect sizes (such as odds ratios or beta coefficients) and study sample sizes are not available in the current dataset for the variants described here. The top-ranked signals (rs10822186, rs11812934, rs12247907) represent the best-evidenced findings on file. Without published replication data, cohort details, or effect sizes available in this record, all associations should be considered preliminary and interpreted with caution.

What this is NOT

These variants are population-level statistical associations from GWAS research - they are not deterministic predictors of any outcome for any individual. Nothing on this page constitutes medical advice, a diagnosis, or a recommendation to take any action.