CNNM2, variants, traits, and what the research shows

CNNM2 - what this gene does

Variants catalogued in CNNM2 are linked to traits spanning kidney function, neurological conditions, and rare diseases. Without per-SNP research summaries available in the current dataset, the three trait themes - kidney, neurological, and rare disease - represent the most grounded characterization the data supports.

Key takeaways

• CNNM2 variants cluster around three trait areas: kidney function, neurological conditions, and rare diseases
• 268 variants are on file; 20 top-ranked entries all carry a uniform magnitude score of 5.50
• Kidney-related variants make up the largest share of the highest-ranked signals in this gene
• Neurological and rare disease associations broaden this gene's potential biological reach
• No per-variant effect sizes or sample sizes are yet available; treat all signals as preliminary

Notable variants

The highest-ranked kidney-linked entries include rs1021927212, rs1564803221, rs1564873187, rs367789750, and rs387906975, each carrying a magnitude of 5.50. On the neurological side, rs1845510486, rs1845544924, rs2065263811, and rs746369588 are among the top-ranked signals. Rare disease flags appear at rs199849767, rs1845550578, rs546554240, and rs2493377590.

Trait associations

Kidney-related associations account for nine of the 20 listed variants - including rs2493376631, rs2493376669, rs370749106, and rs371028392 - making this the largest single trait domain among the top-ranked entries. Neurological associations span seven variants, among them rs1845545201, rs1845545378, and rs1845553116. Rare disease associations appear across four variants, including rs199849767 and rs2493377590. All three domains share the same magnitude score, so no single trait category can be ranked as more robustly evidenced than another on magnitude alone.

Evidence quality

268 variants are on file for this gene; the 20 presented here all carry a uniform magnitude of 5.50, indicating a consistent tier of statistical annotation. No per-SNP research summaries are available in the current dataset, which means effect sizes (such as odds ratios or beta coefficients), cohort sample sizes, and replication status across independent studies cannot be reported at this time. The trait categorizations - kidney, neurological, rare disease - derive from variant-level tagging rather than detailed study annotations. All associations should be treated as preliminary signals; the absence of replication data and per-SNP detail means formal confidence in any specific trait link cannot be assessed from what is presented here.

What this is NOT

These variants represent population-level statistical associations from genomic research - a type of study (GWAS, meaning genome-wide association study) that scans large groups of people for variants that correlate with a trait - and are not deterministic predictors of any health outcome for any individual. We do not prescribe, diagnose, or advise based on any information presented here.