CCDC91, variants, traits, and what the research shows

CCDC91 - what this gene does

Variants catalogued in CCDC91 are statistically associated with neurological traits and pharmacogenomics - the study of how an individual's genetic makeup influences their response to medications.

Key takeaways

• CCDC91 carries variants linked to neurological traits and pharmacogenomics (drug-response genetics)
• Seven variants reach the highest evidence tier in this dataset, including rs1002863 tagged to a neurological trait and rs184429573 tagged to pharmacogenomics
• 158 variants are on file for this gene; 57 carry prior published research summaries
• All associations are population-level statistical signals - not deterministic predictors for any individual
• Detailed evidence for specific variants is available on their individual SNP pages

Notable variants

The seven highest-ranked variants - each carrying a magnitude score of 4.50 - are rs1002863, rs10843111, rs11049605, rs12316890, rs184429573, rs191397191, and rs2078017. Of these, rs1002863 is explicitly tagged to a neurological trait and rs184429573 to pharmacogenomics. A second evidence tier includes rs146304266, rs374805167, and rs201390676, each carrying a magnitude of 3.00.

Trait associations

The available variant data links this gene to two broad themes. Neurological trait associations appear across the dataset's top tier, with rs1002863 carrying the most explicit neurological label among the highest-ranked variants. Pharmacogenomics is represented at the same evidence tier by rs184429573. The majority of the remaining 158 catalogued variants lack specific trait labels in the current dataset, which limits more granular characterisation of the full range of associations.

Evidence quality

Of the 158 variants on file, 57 carry prior published research summaries; the seven top-ranked variants each reach a magnitude score of 4.50, the highest tier in this curation. Specific sample sizes, odds ratios, and replication status are not present in the currently available summaries. Most associations in datasets of this type arise from GWAS - genome-wide association studies that scan large populations for statistical correlations between genetic variants and traits - and represent probabilistic, population-level signals rather than confirmed causal mechanisms. The absence of trait labels for the majority of variants in this gene is a meaningful caveat: the full picture of what this gene's variants are associated with is not yet reflected in what is summarised here.

What this is NOT

These variants represent population-level statistical signals and carry no deterministic predictive power for any individual. Nothing on this page constitutes medical advice, a diagnosis, or a recommendation for any action.