Waardenburg syndrome: genes and variants

Waardenburg syndrome is linked to 3 analyzed proteins (SOX10, MITF and EDNRB). 36 DNA variants are known to cause it; 272 more are uncertain, and 2 of those already look disease-causing on computable evidence.

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

Also known as: Waardenburg syndrome type 1; Waardenburg syndrome type 2; Waardenburg syndrome type 2A; Waardenburg syndrome type 2E; Waardenburg syndrome type 4A; Waardenburg syndrome type 4C

Genes linked to Waardenburg syndrome

Where Waardenburg syndrome variants cluster

Known disease-causing variants in Waardenburg syndrome

VariantPositionProtein partClinical label
SOX10 S135N135HMG boxDisease-causing (★★)
SOX10 W142R142HMG boxDisease-causing (★★)
SOX10 R161C161HMG boxDisease-causing (★★)
SOX10 P175S175Disease-causing (★★)
MITF E309K309Disease-causing (★★)
MITF E425K425DNA-binding regulationDisease-causing (★★)
SOX10 S135R135HMG boxDisease-causing (★)
SOX10 M112R112HMG boxDisease-causing (★)
SOX10 S135G135HMG boxDisease-causing (★)
SOX10 W142C142HMG boxDisease-causing (★)
SOX10 L129P129HMG boxDisease-causing (★)
SOX10 K150E150HMG boxDisease-causing (★)
SOX10 A157T157HMG boxDisease-causing (★)
SOX10 R159Q159HMG boxDisease-causing (★)
EDNRB S184P184TransmembraneDisease-causing (★)
SOX10 N109S109HMG boxDisease-causing (★)
SOX10 L134F134HMG boxDisease-causing (★)
SOX10 L160P160HMG boxDisease-causing (★)
EDNRB A144V144TransmembraneDisease-causing (★)
MITF H316Q316bHLHDisease-causing (★)
MITF G351R351bHLHDisease-causing (★)
SOX10 W114S114HMG boxDisease-causing (★)
MITF N317K317bHLHDisease-causing (★)
SOX10 L122V122HMG boxDisease-causing (★)
SOX10 R151P151HMG boxDisease-causing (★)
MITF L244P244TransactivationDisease-causing (★)
SOX10 P169R169HMG boxDisease-causing (★)
SOX10 M112I112HMG boxDisease-causing
SOX10 L141P141HMG boxDisease-causing
SOX10 R106G106HMG boxDisease-causing
EDNRB A183G183TransmembraneDisease-causing
MITF Y265C265TransactivationDisease-causing
MITF K313N313bHLHDisease-causing
MITF R324G324bHLHDisease-causing
MITF S357P357bHLHDisease-causing
SOX10 Y171S171HMG boxDisease-causing

Uncertain variants in Waardenburg syndrome that look disease-causing

VariantPositionProtein partClinical labelEvidence
SOX10 R161H161HMG boxConflicting reports (★)+7: 3 other pathogenic changes within 3 positions; R161C at the same position is pathogenic; seen in 6.6e-06 of gnomAD DNA copies; REVEL 0.982
SOX10 M112V112HMG boxConflicting reports (★)+6: 4 other pathogenic changes within 3 positions; M112I at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 1.00

Which prediction tools work for Waardenburg syndrome

How often each tool ranks a disease-causing variant above a harmless one (AUROC × 100).

Diseases related to Waardenburg syndrome

Frequently asked questions

Which genes are linked to Waardenburg syndrome?

In CATVariant, Waardenburg syndrome is linked to 3 analyzed proteins: SOX10 (Transcription factor SOX-10), MITF (Microphthalmia-associated transcription factor) and EDNRB (Endothelin receptor type B).

How many genetic variants are linked to Waardenburg syndrome?

379 variants: 36 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 272 are of uncertain significance or have conflicting reports.

Which uncertain variants in Waardenburg syndrome look disease-causing?

2 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example SOX10 R161H and SOX10 M112V. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for Waardenburg syndrome?

Among tools not trained on clinical labels, CADD separates this disease's known disease-causing variants from harmless ones best (AUROC 0.98, based on 9 disease-causing and 23 harmless variants).

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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