SLC25A37, variants, traits, and what the research shows

SLC25A37 - what this gene does

SLC25A37 has variants that genome-wide association studies (GWAS - studies that scan many people's genomes for variants statistically linked to a trait) connect to nutrition and hormonal biology. The trait themes visible across its 83 catalogued variants center primarily on nutrition.

Key takeaways

• The highest-magnitude variant on file carries a magnitude-4.5 signal linked to nutrition.
• One variant in this gene has a confirmed hormonal trait association.
• 83 variants are catalogued for this gene; 16 have prior research summaries.
• Effect sizes reported here are population-level averages and do not predict individual outcomes.
• Most signals lack published sample sizes or replication data, so conclusions should be treated as preliminary.

Notable variants

The strongest signal in the current dataset comes from rs952825245, which carries a magnitude of 4.5 and is linked to nutrition. A group of 18 additional variants - including rs1162450042, rs1301115918, rs1801609564, rs201447306, and rs371477159 among others - each carry a magnitude of 3.0, though trait annotations for most are not available in the current dataset. rs10098103 (magnitude 2.2) is the only named variant linked to hormonal traits and has an existing research page, though its detailed summary was not available for this entry.

Trait associations

Two trait themes emerge from the variant data for this gene. Nutrition is the primary theme, anchored by rs952825245 at magnitude 4.5 - the strongest single-variant signal in the dataset. Hormonal traits appear via rs10098103 (magnitude 2.2), which has an existing research page. The 18 magnitude-3.0 variants currently lack trait annotations, leaving the full breadth of this gene's associations underdefined by the available data.

Evidence quality

The most prominent finding is rs952825245 at magnitude 4.5 tied to nutrition; however, no sample size, odds ratio, or cohort details are present in the current dataset, which limits interpretation. The 18 magnitude-3.0 variants lack trait annotations entirely, making their relevance impossible to assess at this time. rs10098103 has a published research page for hormonal trait associations, but its detailed summary content was not available for this entry. Overall, the evidence base is preliminary: 16 of 83 variants have prior research summaries, but specific effect sizes and replication status are not documented in the data provided.

What this is NOT

These variants are population-level statistical signals from GWAS research, not deterministic predictors of any outcome for any individual. This entry does not prescribe, diagnose, or advise any course of action.