CMIP, variants, traits, and what the research shows

CMIP - what this gene does

Variants in this gene appear in genetic research on respiratory conditions, cancer, and rare diseases. The available data does not provide sufficient detail to characterize the gene's molecular function here.

Key takeaways

• This gene has variants associated with respiratory conditions, cancer, and rare diseases in published genetic research.
• The three highest-magnitude variants each carry a score of 4.50, suggesting relatively strong statistical signals within this catalog.
• Two separate variants carry rare disease associations, which may indicate some replication of that signal.
• These associations are population-level statistical findings, not individual health predictions.

Notable variants

The three top-magnitude variants (magnitude being a composite measure of effect size and evidence strength used to rank variants in this catalog) are rs10514517, rs67721827, and rs7206411, each scoring 4.50. rs67721827 is linked to a respiratory trait, and rs7206411 is linked to cancer. Two lower-magnitude variants, rs2507849119 and rs2507849217, both at magnitude 3.00, carry rare disease associations.

Trait associations

The trait themes visible across this gene's variant catalog span respiratory conditions, cancer, and rare disease. The respiratory signal is carried by rs67721827 (magnitude 4.50), while the cancer signal is carried by rs7206411 (magnitude 4.50). The rare disease signal appears in at least two variants, rs2507849119 and rs2507849217, which may suggest some replication of that signal, though specific rare disease details are not available in this catalog entry.

Evidence quality

The strongest signals reach magnitude 4.50 across three variants: rs10514517, rs67721827, and rs7206411. Of the 198 total variants cataloged for this gene, 16 carry prior research summaries. This entry does not include sample sizes, study designs, or formal replication status, so the trait associations here should be treated as preliminary findings pending review of the primary literature.

What this is NOT

These variants are population-level statistical signals from GWAS (genome-wide association studies, which scan many people's genomes for variants statistically linked to a trait) - not deterministic predictors for any individual. This page does not prescribe, diagnose, or advise.