ZNF483
Chr 9zinc finger protein 483
Also known as: ZKSCAN16, ZSCAN48
The protein functions as a DNA-binding transcription factor that regulates gene transcription by RNA polymerase II in the nucleus. Mutations in ZNF483 are predicted to cause disease through a gain-of-function mechanism, though specific associated neurological conditions have not yet been definitively characterized. The gene shows extremely high intolerance to loss-of-function variants (pLI 0.97, LOEUF 0.32), indicating that haploinsufficiency is likely pathogenic and suggesting an autosomal dominant inheritance pattern.
Population Genetics & Constraint
gnomAD v4 — loss-of-function & missense intolerance
Highly LoF-intolerant (top ~10% of genes)
Moderately missense-constrained (top ~2.5%)
This gene has evidence for multiple mechanisms of pathogenicity (loss-of-function, dominant-negative and gain-of-function). The Badonyi & Marsh model scores dominant-negative highest among its predictions, but genomic evidence (constraint, ClinVar variant spectrum, and literature) most strongly supports loss-of-function (haploinsufficiency). Different variants in this gene may act through different mechanisms — interpret in context of the specific variant.
Note: In-silico variant effect predictors (SIFT, PolyPhen, REVEL, CADD) may underestimate pathogenicity of missense variants in genes with GOF or DN mechanisms. Consider functional evidence and clinical context.
Predictions from Badonyi M, Marsh JA. PLoS ONE. 2024;19(8):e0307312. Mechanism ranking also informed by gnomAD constraint, ClinVar, and ClinGen data.
ClinVar Variant Classifications
0 submitted variants in ClinVar
Protein Context — Lollipop Plot
ZNF483 · protein map & ClinVar variants
Showing all ClinVar variants across the protein. Search a specific variant to highlight its position.
External Resources
Links to major genomics databases and tools
Clinical Trials
Active and recruiting trials from ClinicalTrials.gov
No active trials found for this gene.
Search ClinicalTrials.gov →External Resources
Links to major genomics databases and tools