Sick sinus syndrome 2, autosomal dominant: genes and variants

Sick sinus syndrome 2, autosomal dominant is linked to 3 analyzed proteins (HCN4, SCN5A and MYH6). 6 DNA variants are known to cause it; 196 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: sick sinus syndrome 1; Sick sinus syndrome 3, susceptibility to

Genes linked to Sick sinus syndrome 2, autosomal dominant

Known disease-causing variants in Sick sinus syndrome 2, autosomal dominant

VariantPositionProtein partClinical label
HCN4 Y481H481Segment H5Disease-causing (★★)
SCN5A R376H376IDisease-causing (★★)
SCN5A G1743R1743IVDisease-causing (★★)
HCN4 A414G414Segment S5Disease-causing
HCN4 G480R480Segment H5Disease-causing
HCN4 S672R672CytoplasmicDisease-causing

Same protein, different disease

Diseases related to Sick sinus syndrome 2, autosomal dominant

Frequently asked questions

Which genes are linked to Sick sinus syndrome 2, autosomal dominant?

In CATVariant, Sick sinus syndrome 2, autosomal dominant is linked to 3 analyzed proteins: HCN4 (Potassium/sodium hyperpolarization-activated cyclic nucleotide-gated channel 4), SCN5A (Sodium channel protein type 5 subunit alpha) and MYH6 (Myosin-6).

How many genetic variants are linked to Sick sinus syndrome 2, autosomal dominant?

214 variants: 6 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 196 are of uncertain significance or have conflicting reports.

Which uncertain variants in Sick sinus syndrome 2, autosomal dominant 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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