Kabuki syndrome: genes and variants
Kabuki syndrome is linked to 2 analyzed proteins (KMT2D and KDM6A). 48 DNA variants are known to cause it; 1,958 more are uncertain, and 0 of those already look disease-causing on computable evidence.
Last updated 2026-09-30. Research information, not medical advice.
Also known as: Kabuki syndrome 1; Kabuki syndrome 2
Genes linked to Kabuki syndrome
KMT2D: Histone-lysine N-methyltransferase 2D
It deposits enhancer-associated H3K4 methylation and coordinates developmental gene expression through chromatin regulatory complexes. Heterozygous loss-of-function variants are a major cause of Kabuki syndrome, and somatic mutations are common in several lymphomas and solid tumors.
34 disease-causing and 1,602 uncertain variants in KMT2D are linked to Kabuki syndrome.
KDM6A: Lysine-specific demethylase 6A
It removes repressive H3K27 methylation and also contributes to chromatin regulation through demethylase-independent interactions. Germline loss-of-function variants cause Kabuki syndrome type 2, while somatic alterations occur in multiple cancers.
14 disease-causing and 355 uncertain variants in KDM6A are linked to Kabuki syndrome.
Weakly linked (only a few uncertain records): KMT2A.
Where Kabuki syndrome variants cluster
- KMT2D C2HC pre-PHD-type 2 (positions 5029–5069): 5 of 34 disease-causing changes, 19.9× more than its size predicts.
- KDM6A JmjC (positions 1095–1258): 8 of 14 disease-causing changes, 4.9× more than its size predicts.
- KMT2D PHD-type 5 (positions 1427–1477): 4 of 34 disease-causing changes, 12.8× more than its size predicts.
- KMT2D SET (positions 5397–5513): 5 of 34 disease-causing changes, 7.0× more than its size predicts.
- KMT2D PHD-type 4 (positions 1377–1430): 3 of 34 disease-causing changes, 9.1× more than its size predicts.
Known disease-causing variants in Kabuki syndrome
| Variant | Position | Protein part | Clinical label |
|---|---|---|---|
| KDM6A Q1212R | 1212 | JmjC | Disease-causing (★★) |
| KDM6A R1255W | 1255 | JmjC | Disease-causing (★★) |
| KDM6A R1307W | 1307 | Disease-causing (★★) | |
| KDM6A Q1133R | 1133 | JmjC | Disease-causing (★★) |
| KMT2D H1453R | 1453 | PHD-type 5 | Disease-causing (★★) |
| KMT2D C1471W | 1471 | PHD-type 5 | Disease-causing (★★) |
| KMT2D K4541R | 4541 | Disease-causing (★★) | |
| KMT2D R5340L | 5340 | WDR5 interaction motif (WIN) | Disease-causing (★★) |
| KMT2D E5425K | 5425 | SET | Disease-causing (★★) |
| KMT2D W5065L | 5065 | C2HC pre-PHD-type 2 | Disease-causing (★) |
| KDM6A G1085R | 1085 | Interaction with SUPT6H | Disease-causing (★) |
| KDM6A C1153Y | 1153 | JmjC | Disease-causing (★) |
| KDM6A P1195L | 1195 | JmjC | Disease-causing (★) |
| KDM6A L1200F | 1200 | JmjC | Disease-causing (★) |
| KMT2D S1476C | 1476 | PHD-type 5 | Disease-causing (★) |
| KMT2D R3539G | 3539 | Disease-causing (★) | |
| KMT2D C5062S | 5062 | C2HC pre-PHD-type 2 | Disease-causing (★) |
| KMT2D R5179G | 5179 | FYR N-terminal | Disease-causing (★) |
| KMT2D R5179P | 5179 | FYR N-terminal | Disease-causing (★) |
| KMT2D A5413V | 5413 | SET | Disease-causing (★) |
| KMT2D A5413P | 5413 | SET | Disease-causing (★) |
| KDM6A E47G | 47 | Interaction with SUPT6H | Disease-causing (★) |
| KDM6A A303D | 303 | TPR 6 | Disease-causing (★) |
| KMT2D R280K | 280 | RING-type 2 | Disease-causing (★) |
| KMT2D C1380R | 1380 | PHD-type 4 | Disease-causing (★) |
| KMT2D C1430W | 1430 | PHD-type 5 | Disease-causing (★) |
| KMT2D E3004Q | 3004 | Disease-causing (★) | |
| KMT2D L3564F | 3564 | Coiled coil | Disease-causing (★) |
| KDM6A G137C | 137 | TPR 2 | Disease-causing (★) |
| KDM6A V1228I | 1228 | JmjC | Disease-causing (★) |
| KMT2D R1423S | 1423 | PHD-type 4 | Disease-causing (★) |
| KMT2D R2001Q | 2001 | Disease-causing (★) | |
| KMT2D R3539W | 3539 | Disease-causing (★) | |
| KMT2D D5028H | 5028 | Disease-causing (★) | |
| KMT2D R5030L | 5030 | C2HC pre-PHD-type 2 | Disease-causing (★) |
| KMT2D C5035Y | 5035 | C2HC pre-PHD-type 2 | Disease-causing (★) |
| KMT2D C5133R | 5133 | PHD-type 7 | Disease-causing (★) |
| KMT2D C5230Y | 5230 | FYR N-terminal | Disease-causing (★) |
| KMT2D F5241L | 5241 | FYR C-terminal | Disease-causing (★) |
| KMT2D C5338Y | 5338 | WDR5 interaction motif (WIN) | Disease-causing (★) |
| KMT2D R5432L | 5432 | SET | Disease-causing (★) |
| KDM6A V1176I | 1176 | JmjC | Disease-causing (★) |
| KMT2D Q170H | 170 | PHD-type 1 | Disease-causing (★) |
| KMT2D W5065S | 5065 | C2HC pre-PHD-type 2 | Disease-causing |
| KDM6A S1025G | 1025 | Interaction with SUPT6H | Disease-causing |
| KMT2D D2037H | 2037 | Disease-causing | |
| KMT2D C5104F | 5104 | PHD-type 7 | Disease-causing |
| KMT2D R5439P | 5439 | SET | Disease-causing |
Which prediction tools work for Kabuki syndrome
How often each tool ranks a disease-causing variant above a harmless one (AUROC × 100).
- MutPred2: 92 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- PolyPhen-2: 89 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- AlphaMissense: 88 out of 100
- CATVariant: 86 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)
- EVE: 83 out of 100
- SIFT: 77 out of 100
Same protein, different disease
- Choanal atresia-athelia-hypothyroidism-delayed puberty-short stature syndrome is also caused by KMT2D variants; they fall partly in the same places as the Kabuki syndrome variants (6 disease-causing).
Diseases related to Kabuki syndrome
- Tremor, hereditary essential, 4, also linked to KDM6A
- Choanal atresia-athelia-hypothyroidism-delayed puberty-short stature syndrome, also linked to KMT2D
- Medulloblastoma, also linked to KMT2D
Frequently asked questions
Which genes are linked to Kabuki syndrome?
In CATVariant, Kabuki syndrome is linked to 2 analyzed proteins: KMT2D (Histone-lysine N-methyltransferase 2D) and KDM6A (Lysine-specific demethylase 6A).
How many genetic variants are linked to Kabuki syndrome?
3,071 variants: 48 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 1,958 are of uncertain significance or have conflicting reports.
Which uncertain variants in Kabuki syndrome look disease-causing?
None of the uncertain variants currently reaches the likely-pathogenic range on computable evidence alone.
Which variant effect predictor works best for Kabuki syndrome?
Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.89, based on 18 disease-causing and 169 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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