Rubinstein-Taybi syndrome: genes and variants

Rubinstein-Taybi syndrome is linked to 2 analyzed proteins (CREBBP and EP300). 15 DNA variants are known to cause it; 450 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 Rubinstein-Taybi syndrome

Where Rubinstein-Taybi syndrome variants cluster

Known disease-causing variants in Rubinstein-Taybi syndrome

VariantPositionProtein partClinical label
CREBBP S1687F1687CBP/p300-type HATDisease-causing (★★)
CREBBP T1447I1447CBP/p300-type HATDisease-causing (★★)
CREBBP G1465E1465CBP/p300-type HATDisease-causing (★★)
CREBBP R1867Q1867Interaction with TRERF1Disease-causing (★★)
CREBBP R1868Q1868Interaction with TRERF1Disease-causing (★★)
CREBBP M1872T1872Interaction with TRERF1Disease-causing (★★)
CREBBP R1233K1233Disease-causing (★★)
CREBBP C1240Y1240Disease-causing (★★)
CREBBP E1278K1278Disease-causing (★★)
CREBBP S1687P1687CBP/p300-type HATDisease-causing (★)
CREBBP H1470P1470CBP/p300-type HATDisease-causing (★)
CREBBP P1494S1494CBP/p300-type HATDisease-causing (★)
CREBBP K1520R1520CBP/p300-type HATDisease-causing (★)
CREBBP L1142P1142BromoDisease-causing (★)
CREBBP Y1539N1539CBP/p300-type HATDisease-causing (★)

Which prediction tools work for Rubinstein-Taybi syndrome

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

Same protein, different disease

Diseases related to Rubinstein-Taybi syndrome

Frequently asked questions

Which genes are linked to Rubinstein-Taybi syndrome?

In CATVariant, Rubinstein-Taybi syndrome is linked to 2 analyzed proteins: CREBBP (CREB-binding protein) and EP300 (Histone acetyltransferase p300).

How many genetic variants are linked to Rubinstein-Taybi syndrome?

656 variants: 15 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 450 are of uncertain significance or have conflicting reports.

Which uncertain variants in Rubinstein-Taybi 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 Rubinstein-Taybi syndrome?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.94, based on 9 disease-causing and 22 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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