CPNE4, variants, traits, and what the research shows

CPNE4 - what this gene does

Based on the variants catalogued here, CPNE4 is a gene whose associated variants span cancer, cardiovascular, mental health, and neurological trait categories - covering several major disease areas tracked in genome-wide association research.

Key takeaways

• Four distinct high-priority variants in this gene are linked to cancer risk
• A separate variant is associated with cardiovascular traits
• Mental health and neurological associations are also on record
• All top-tier variants carry the highest magnitude score in this dataset
• These are population-level statistical signals, not individual risk predictions

Notable variants

Thirteen variants sit at the highest magnitude tier (4.50) in this dataset. Among those with trait labels, four independently point to cancer: rs377143620, rs76138193, rs79390442, and rs9836270. A cardiovascular signal is carried by rs16837858, a mental health association by rs3893429, and a neurological signal by rs76266169. rs114999403 also sits at the top tier with a dedicated variant page available. Several additional magnitude-4.50 variants - rs1505809, rs1533747, rs1569280, rs3851997, and rs554318837 - are on file without trait detail at this time.

Trait associations

Cancer is the most represented trait category, with four magnitude-4.50 variants - rs377143620, rs76138193, rs79390442, and rs9836270 - all independently flagged, which lends that signal modest credibility through apparent replication. Cardiovascular traits appear through rs16837858. Mental health is linked via rs3893429, and a neurological association is carried by rs76266169.

Evidence quality

All 13 top-tier variants carry magnitude 4.50 - the highest level represented in this dataset - and 27 of the 142 total variants on file have prior research summaries. The four cancer-linked variants represent the most consistently repeated theme visible in the current data. However, specific effect sizes such as odds ratios or beta coefficients (numbers describing how strongly a variant shifts a trait), sample sizes, and cohort replication details are not available in the current summary metadata. These signals should be treated as preliminary GWAS (genome-wide association study - a type of research that scans thousands of people's genomes for variants statistically linked to a trait or disease) findings until richer study-level data is published.

What this is NOT

These variants are population-level statistical associations, not deterministic predictors of disease or trait expression in any individual. Nothing on this page constitutes medical advice, a diagnosis, or a recommendation to take any action.