COBLL1, variants, traits, and what the research shows

COBLL1 - what this gene does

COBLL1 is a human gene whose catalogued variants point most consistently to cardiovascular traits. The evidence summarized here is drawn from 147 variants on file, with the strongest signals concentrated in a small number of high-magnitude entries.

Key takeaways

• The top-ranked variants in this gene are linked to cardiovascular traits
• Three variants each carry a magnitude score of 4.50, the highest in this dataset
• Most of the 147 variants on file currently lack published trait annotations
• All associations described here are population-level statistical signals, not individual predictions
• Effect sizes and replication details are not available for most variants in this dataset

Notable variants

The three variants with the highest magnitude scores in this dataset are rs111770209, rs6432803, and rs6712203, each scoring 4.50. Of these, rs111770209 and rs6712203 are both annotated to cardiovascular traits, making them the best-supported signals currently on file. rs6432803 carries the same magnitude score but lacks a trait annotation in the available data. A further 17 variants score at magnitude 3.00, including rs112597395, rs113702130, rs141706142, rs146060190, and rs146685683, among others, but none of these currently carry trait detail in the dataset.

Trait associations

The only trait category currently annotated across the variants on file for this gene is cardiovascular health. Two independent variants, rs111770209 and rs6712203, both point to cardiovascular outcomes. When multiple independent variants in the same gene converge on the same trait, it provides modest additional support compared to a single-variant finding, though without full replication and effect-size data this convergence should still be treated as preliminary.

Evidence quality

rs111770209 and rs6712203 carry the highest magnitude scores in this dataset (4.50 each), and both carry cardiovascular annotations, representing the best-evidenced signals currently on file. rs6432803 matches the same magnitude score but lacks a trait label. Specific effect sizes, such as odds ratios or beta coefficients, along with cohort sizes and replication status, are not included in the available data for any of these variants. GWAS (genome-wide association study, a method that scans large numbers of people's genomes for variants statistically linked to a trait) findings typically require large, replicated cohorts before conclusions are settled; the current dataset does not confirm whether that threshold has been met for any of these variants. The scope of this gene's associations in published literature is almost certainly broader than what is captured here, given that 147 variants are on file but only a small fraction carry trait annotations.

What this is NOT

The variants listed here are population-level statistical associations, not deterministic predictors of any health outcome for any individual. This page does not constitute medical advice, a diagnosis, or a recommendation to take any action.