KIAA1217, variants, traits, and what the research shows

KIAA1217 - what this gene does

KIAA1217 is a human gene whose catalogued variants span two broad research themes: neurological and liver-related traits. Detailed mechanistic data are not available from the current variant summaries, so the specific biological role of this gene cannot be characterized beyond these associations.

Key takeaways

• Variants in this gene have been linked to two research areas: neurological health and liver health.
• Seven top-ranked variants share the highest evidence-magnitude score in the dataset.
• 161 variants are catalogued in total, with 25 carrying prior research summaries.
• Most top-tier variants are not yet fully annotated with specific trait detail.
• These are population-level statistical associations, not individual health predictors.

Notable variants

The highest-magnitude variants on file all sit at a score of 4.50. Among them, rs115292858 carries a neurological trait tag and rs57885410 is tagged with a liver association. rs112198986 also reaches this top tier with a published variant page. The remaining top-tier entries - rs35339789, rs7074936, rs75495909, and rs965547506 - are catalogued in the dataset without associated trait labels.

Trait associations

The two explicitly tagged trait themes in this gene are neurological and liver. rs115292858 is the top-tier variant carrying a neurological label, and rs57885410 carries the liver label. A second tier of magnitude 3.00 variants is on file but arrives without trait annotation, so the full breadth of this gene's associations cannot be described from current data.

Evidence quality

The dataset holds 161 variants for KIAA1217, of which 25 carry prior research summaries. The seven highest-magnitude variants (score 4.50) represent the most prominent signals, led by rs115292858 (neurological) and rs57885410 (liver). Detailed effect sizes, sample sizes, and replication status are not available in the current summaries, so it is not possible to assess whether these are single-cohort GWAS (genome-wide association study - a study design that scans many people's genomes for variants statistically linked to a trait) signals or replicated findings across independent cohorts. The most important caveat is that trait tags alone do not convey the strength or direction of any association.

What this is NOT

These variants are population-level statistical signals from genetic association research, not deterministic predictors of any individual's health outcomes. This content does not constitute medical advice, diagnosis, or recommendations of any kind.