Melnick-Fraser syndrome: genes and variants

Melnick-Fraser syndrome is linked to 2 analyzed proteins (EYA1 and SIX1). 5 DNA variants are known to cause it; 85 more are uncertain, and 1 of those already look disease-causing on computable evidence.

Last updated 2026-09-30. Research information, not medical advice.

Genes linked to Melnick-Fraser syndrome

Known disease-causing variants in Melnick-Fraser syndrome

VariantPositionProtein partClinical label
EYA1 R440Q440Disease-causing (★★)
EYA1 S487P487Disease-causing (★)
EYA1 L580R580Disease-causing (★)
EYA1 L483P483Disease-causing (★)
SIX1 Q167R167HomeoboxDisease-causing (★)

Uncertain variants in Melnick-Fraser syndrome that look disease-causing

VariantPositionProtein partClinical labelEvidence
EYA1 R440W440Uncertain (★★)+6: in a 3D region that tolerates change poorly (1R); R440Q at the same position is pathogenic; REVEL 0.783

Same protein, different disease

Diseases related to Melnick-Fraser syndrome

Frequently asked questions

Which genes are linked to Melnick-Fraser syndrome?

In CATVariant, Melnick-Fraser syndrome is linked to 2 analyzed proteins: EYA1 (Protein phosphatase EYA1) and SIX1 (Homeobox protein SIX1).

How many genetic variants are linked to Melnick-Fraser syndrome?

103 variants: 5 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 85 are of uncertain significance or have conflicting reports.

Which uncertain variants in Melnick-Fraser syndrome look disease-causing?

1 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example EYA1 R440W. These are leads for expert review, not diagnoses.

About this data

Variant–disease links come from ClinVar, Open Targets and UniProt, pooled from the latest public CATVariant analysis of each human protein. Evidence scores use the ACMG/AMP Bayesian points scale with computable criteria only (position among known disease variants, rarity in gnomAD, calibrated predictors, deep mutational scanning); there is no family or patient data, so they prioritise variants for expert review and never classify them.

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