SLC16A9, variants, traits, and what the research shows

SLC16A9 - what this gene does

The variants catalogued for SLC16A9 are most prominently linked to cancer-related traits. Of the 58 variants on file, cancer is the primary trait theme represented in the current dataset.

Key takeaways

• Two variants in this gene reach the highest recorded magnitude (4.50) in this dataset, with one explicitly linked to cancer.
• Cancer is the primary confirmed trait theme across this gene's catalogued variants.
• 16 of the 58 variants have published research summaries providing additional context.
• Most catalogued variants carry a magnitude of 3.00, representing a moderate signal level in this dataset.
• As with all genome-wide association findings, these are population-level statistical signals and do not predict individual health outcomes.

Notable variants

The two highest-magnitude variants are rs1171633 and rs80059635, each scoring 4.50 in this dataset. Of these, rs80059635 is explicitly linked to cancer; a published page exists for rs1171633, but no trait detail is available in the current summary. A further 18 variants share a magnitude of 3.00, among them rs1006940777, rs368640774, rs371841243, rs747303668, and rs753658419; trait annotations for this group are not yet available in the current dataset.

Trait associations

Cancer is the only confirmed trait in the current dataset for this gene. The signal is anchored by rs80059635, which carries a magnitude of 4.50 and an explicit cancer label. rs1171633 also reaches magnitude 4.50, but no trait detail is available in the current summary. The remaining magnitude 3.00 variants, including rs199889507, rs201592301, rs2492137682, rs2492150369, and rs2492152436, lack trait annotations in this dataset, leaving their associations uncharacterized for now.

Evidence quality

The strongest signal in the current dataset is rs80059635 at magnitude 4.50, linked to cancer. Of the 58 total variants on file, 16 have prior research summaries, but the current dataset does not include detailed statistics such as odds ratios, beta coefficients, or sample sizes for any variant. Without cohort details or replication data, it is not possible to assess whether the cancer association has been independently confirmed across studies. The cancer link should be treated as a preliminary signal rather than a well-replicated clinical finding.

What this is NOT

The variants listed here are population-level statistical associations from genome-wide association studies (GWAS - studies that scan large numbers of people's genomes for variants statistically linked to a trait), not deterministic predictors for any individual. This content does not constitute medical advice, a diagnosis, or a recommendation for any action.