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
SOX10: Transcription factor SOX-10
23 disease-causing and 19 uncertain variants in SOX10 are linked to Waardenburg syndrome.
MITF: Microphthalmia-associated transcription factor
10 disease-causing and 242 uncertain variants in MITF are linked to Waardenburg syndrome.
EDNRB: Endothelin receptor type B
3 disease-causing and 11 uncertain variants in EDNRB are linked to Waardenburg syndrome.
Where Waardenburg syndrome variants cluster
- SOX10 HMG box (positions 104–172): 22 of 23 disease-causing changes, 6.5× more than its size predicts.
- MITF bHLH (positions 311–364): 6 of 10 disease-causing changes, 5.8× more than its size predicts.
Known disease-causing variants in Waardenburg syndrome
| Variant | Position | Protein part | Clinical label |
|---|---|---|---|
| SOX10 S135N | 135 | HMG box | Disease-causing (★★) |
| SOX10 W142R | 142 | HMG box | Disease-causing (★★) |
| SOX10 R161C | 161 | HMG box | Disease-causing (★★) |
| SOX10 P175S | 175 | Disease-causing (★★) | |
| MITF E309K | 309 | Disease-causing (★★) | |
| MITF E425K | 425 | DNA-binding regulation | Disease-causing (★★) |
| SOX10 S135R | 135 | HMG box | Disease-causing (★) |
| SOX10 M112R | 112 | HMG box | Disease-causing (★) |
| SOX10 S135G | 135 | HMG box | Disease-causing (★) |
| SOX10 W142C | 142 | HMG box | Disease-causing (★) |
| SOX10 L129P | 129 | HMG box | Disease-causing (★) |
| SOX10 K150E | 150 | HMG box | Disease-causing (★) |
| SOX10 A157T | 157 | HMG box | Disease-causing (★) |
| SOX10 R159Q | 159 | HMG box | Disease-causing (★) |
| EDNRB S184P | 184 | Transmembrane | Disease-causing (★) |
| SOX10 N109S | 109 | HMG box | Disease-causing (★) |
| SOX10 L134F | 134 | HMG box | Disease-causing (★) |
| SOX10 L160P | 160 | HMG box | Disease-causing (★) |
| EDNRB A144V | 144 | Transmembrane | Disease-causing (★) |
| MITF H316Q | 316 | bHLH | Disease-causing (★) |
| MITF G351R | 351 | bHLH | Disease-causing (★) |
| SOX10 W114S | 114 | HMG box | Disease-causing (★) |
| MITF N317K | 317 | bHLH | Disease-causing (★) |
| SOX10 L122V | 122 | HMG box | Disease-causing (★) |
| SOX10 R151P | 151 | HMG box | Disease-causing (★) |
| MITF L244P | 244 | Transactivation | Disease-causing (★) |
| SOX10 P169R | 169 | HMG box | Disease-causing (★) |
| SOX10 M112I | 112 | HMG box | Disease-causing |
| SOX10 L141P | 141 | HMG box | Disease-causing |
| SOX10 R106G | 106 | HMG box | Disease-causing |
| EDNRB A183G | 183 | Transmembrane | Disease-causing |
| MITF Y265C | 265 | Transactivation | Disease-causing |
| MITF K313N | 313 | bHLH | Disease-causing |
| MITF R324G | 324 | bHLH | Disease-causing |
| MITF S357P | 357 | bHLH | Disease-causing |
| SOX10 Y171S | 171 | HMG box | Disease-causing |
Uncertain variants in Waardenburg syndrome that look disease-causing
| Variant | Position | Protein part | Clinical label | Evidence |
|---|---|---|---|---|
| SOX10 R161H | 161 | HMG box | Conflicting 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 M112V | 112 | HMG box | Conflicting 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).
- CADD: 98 out of 100
- SIFT: 97 out of 100
- PolyPhen-2: 96 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- REVEL: 96 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- CATVariant: 94 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- MetaLR: 84 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- phyloP: 67 out of 100
Diseases related to Waardenburg syndrome
- Rare genetic deafness, also linked to SOX10
- Pulmonary arterial hypertension, also linked to EDNRB
- Hirschsprung disease, also linked to EDNRB
- Melanoma, cutaneous malignant, susceptibility to, 8, also linked to MITF
- PCWH syndrome, also linked to SOX10
- Melanoma, also linked to MITF
- Tietz syndrome, also linked to MITF
- Coloboma, osteopetrosis, microphthalmia, macrocephaly, albinism, and deafness, also linked to MITF
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.
Download every variant as CSV · Browse all diseases · Methods · About the Center