DELEC1, variants, traits, and what the research shows

DELEC1 - what this gene does

Variants in DELEC1 have been identified across genome-wide association studies (GWAS - large studies that scan many people's genomes for variants statistically associated with a trait) spanning liver function, metabolic processes, sleep, and immune response, with additional signals in cancer and respiratory traits.

Key takeaways

• DELEC1 carries variants linked to liver, metabolic, sleep, and immune traits, plus cancer and respiratory signals across 91 total catalogued variants.
• Three separate metabolic-associated variants make metabolic health the most consistently replicated trait theme in this gene.
• The highest-confidence variants carry a magnitude score of 4.50 - the strongest tier in this dataset.
• Four distinct cancer-tagged variants appear at the same evidence tier, though cancer encompasses many different disease subtypes.
• All associations here are population-level statistical signals from GWAS - not individual health predictions.

Notable variants

The highest-magnitude variants - each scoring 4.50 - include rs117537112, linked to liver traits; rs1888221, linked to metabolic traits; rs35796756, linked to sleep; and rs78581768, linked to immune function. Also at magnitude 4.50, rs10114657, rs10120850, rs34538780, and rs4979467 carry published pages; no trait label is available for these in the current dataset. Among secondary signals, rs1414153, rs2989505, rs4979489, and rs7853844 each score 2.80 and are each tagged to cancer.

Trait associations

The trait landscape spans several biological systems. Liver-related traits are flagged by rs117537112. Metabolic traits appear across three independently labeled variants - rs1888221, rs141683313, and rs1014518150 - making metabolic health the most-replicated theme in this dataset. Sleep is represented by rs35796756, and immune function by rs78581768. Four cancer-labeled variants (rs1414153, rs2989505, rs4979489, rs7853844) appear at magnitude 2.80; because cancer covers many distinct disease subtypes, these likely reflect separate associations rather than a single unified signal. A respiratory signal is tagged to rs10817688, and a rare-disease association is flagged for rs10125663.

Evidence quality

The dataset includes 91 variants in total, of which 24 carry prior research summaries. The strongest signals cluster at magnitude 4.50 (eight variants), with secondary signals at magnitudes 2.80 and 2.20. The metabolic theme is the best-replicated in the gene, appearing across three independently tagged variants. No effect sizes (odds ratios or beta coefficients) or sample sizes are available in the current dataset, which limits precise interpretation. All signals derive from GWAS methodology, which establishes statistical association rather than biological causation; independent replication and functional follow-up studies would be needed to confirm these links.

What this is NOT

These variants represent population-level statistical associations from large-scale genomic studies - they are not deterministic predictors of any individual's health outcomes. This content does not constitute medical advice, diagnosis, or a recommendation for any test or treatment.