Arrhythmogenic right ventricular cardiomyopathy: genes and variants

Arrhythmogenic right ventricular cardiomyopathy is linked to 6 analyzed proteins (PKP2, RYR2, DSP, DSC2, DES and MYH7). 5 DNA variants are known to cause it; 163 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 Arrhythmogenic right ventricular cardiomyopathy

Weakly linked (only a few uncertain records): CDH2, JUP, RYR1, SCN5A, ACTN2, CACNB2, FLNC, MYH6 and 4 more.

Known disease-causing variants in Arrhythmogenic right ventricular cardiomyopathy

VariantPositionProtein partClinical label
PKP2 M1T1Required for interaction with influenza A virus Disease-causing (★★)
PKP2 R388W388ARM 2Disease-causing (★★)
RYR2 K4674E4674Disease-causing (★)
MYH7 M877T877Coiled coilDisease-causing
DSP M1601I1601Coiled coilDisease-causing

Same protein, different disease

Diseases related to Arrhythmogenic right ventricular cardiomyopathy

Frequently asked questions

Which genes are linked to Arrhythmogenic right ventricular cardiomyopathy?

In CATVariant, Arrhythmogenic right ventricular cardiomyopathy is linked to 6 analyzed proteins: PKP2 (Plakophilin-2), RYR2 (Ryanodine receptor 2), DSP (Desmoplakin), DSC2 (Desmocollin-2), DES (Desmin) and MYH7 (Myosin-7).

How many genetic variants are linked to Arrhythmogenic right ventricular cardiomyopathy?

183 variants: 5 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 163 are of uncertain significance or have conflicting reports.

Which uncertain variants in Arrhythmogenic right ventricular cardiomyopathy 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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