SCARB1, variants, traits, and what the research shows

SCARB1 - what this gene does

Variants in SCARB1 are associated with metabolic traits, liver-related conditions, and rare diseases, based on the research signals catalogued here.

Key takeaways

• Two variants carry the strongest signals on file, both linked to metabolic traits.
• Liver-related and rare-disease associations appear among the top-ranked variants.
• Multiple independent variants point to metabolic traits, which may strengthen that signal.
• 120 variants are on file in total; the associations described here reflect the highest-magnitude subset.
• These are population-level statistical associations, not personal health predictions.

Notable variants

The two highest-magnitude variants are rs201068540 and rs77554031, both scoring magnitude 5.50 and both linked to metabolic traits. The next tier includes rs10846744 (magnitude 4.50, liver traits) and rs73229512 (magnitude 4.50, rare disease). Among the broader set, rs1341182786, rs2135596186, and rs149399988 add further metabolic and rare-disease coverage at magnitude 3.00.

Trait associations

Metabolic traits appear most frequently across this gene's variant catalogue, with signals from rs201068540, rs77554031, rs1341182786, and rs2135596186 - recurrence across multiple independent variants is notable. A liver-related signal is registered for rs10846744. Rare-disease associations appear in rs73229512 and rs149399988. An additional 13 catalogued variants do not yet carry published trait labels in this catalogue.

Evidence quality

The strongest signals - rs201068540 and rs77554031 at magnitude 5.50 - represent the highest-ranked associations currently on file for this gene. Detailed study metadata (sample sizes, cohort composition, replication status) are not yet available for individual variants in this catalogue, so the depth of evidence behind each signal cannot be further characterised here. Across 120 variants on file, 20 carry prior research context; until full SNP-level summaries are published, all associations should be treated as preliminary.

What this is NOT

These variants are population-level statistical signals from genome-wide association studies (GWAS - studies that scan many people's genomes for variants statistically linked to a trait), not deterministic predictors of any individual's health outcomes. Nothing here constitutes medical advice, a diagnosis, or a recommendation of any kind.