Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness: genes and variants

Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness is linked to 1 analyzed protein (MITF). 3 DNA variants are known to cause it; 7 more are uncertain, and 0 of those already look disease-causing on computable evidence.

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

Genes linked to Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness

Known disease-causing variants in Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness

VariantPositionProtein partClinical label
MITF E425K425DNA-binding regulationDisease-causing (★★)
MITF K313N313bHLHDisease-causing
MITF R324G324bHLHDisease-causing

Same protein, different disease

Diseases related to Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness

Frequently asked questions

Which genes are linked to Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness?

In CATVariant, Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness is linked to 1 analyzed protein: MITF (Microphthalmia-associated transcription factor).

How many genetic variants are linked to Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness?

11 variants: 3 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 7 are of uncertain significance or have conflicting reports.

Which uncertain variants in Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness look disease-causing?

None of the uncertain variants currently reaches the likely-pathogenic range on computable evidence alone.

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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