CCDC171, variants, traits, and what the research shows

CCDC171 - what this gene does

Variants catalogued in CCDC171 are primarily associated with respiratory traits in genome-wide association research (GWAS - a study that scans many people's genomes for variants statistically associated with a trait). Based on the available variant data, the strongest documented signals point toward respiratory health.

Key takeaways

• Four variants in this gene reach the highest magnitude score on file, with one - rs1328296 - explicitly linked to a respiratory trait
• 183 variants are catalogued across the gene; 29 carry prior published research summaries
• The primary documented trait theme is respiratory health
• Most signals come from GWAS studies, which reflect population-level statistics, not individual-level predictions
• Effect sizes and replication details are not available for most catalogued variants in the current dataset

Notable variants

rs10114770, rs1328296, rs4741548, and rs79944934 are the four highest-magnitude variants on file, each carrying a magnitude score of 4.50. Among these, rs1328296 is the variant with an explicit link to respiratory traits. A second tier - including rs138368957, rs139178402, rs139737353, rs141895202, and rs142125441 - each score a magnitude of 3.00, though their specific trait associations are not documented in the available data.

Trait associations

Respiratory health is the primary trait theme documented for this gene. rs1328296 is directly tagged with a respiratory trait, making it the best-supported association in the current catalogue. Trait labels for the remaining high-magnitude variants - rs10114770, rs4741548, and rs79944934 - are not present in the available data, and no additional trait themes can be reported without risk of fabrication.

Evidence quality

The catalogue covers 183 variants in this gene, of which 29 have prior published research summaries. The four top-magnitude variants (4.50) represent the strongest available signals, but detailed statistics such as odds ratios, beta coefficients, and cohort sample sizes are absent from the current dataset. Trait metadata is sparse: only rs1328296 carries an explicit trait label among the top-magnitude entries, and the published record for rs10114770 does not include accessible summary content at this time. As GWAS associations, these signals represent statistical patterns observed in large populations; independent replication and functional studies would be required to assess biological significance.

What this is NOT

These variants are population-level statistical signals and 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.