Fetal akinesia deformation sequence: genes and variants

Fetal akinesia deformation sequence is linked to 4 analyzed proteins (MUSK, SCN4A, SCN8A and RYR1). 7 DNA variants are known to cause it; 235 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: fetal akinesia deformation sequence 1

Genes linked to Fetal akinesia deformation sequence

Weakly linked (only a few uncertain records): RYR3.

Known disease-causing variants in Fetal akinesia deformation sequence

VariantPositionProtein partClinical label
MUSK D38E38Ig-like 1Disease-causing (★★)
MUSK I575T575Protein kinaseDisease-causing (★★)
SCN4A L673P673IIDisease-causing (★★)
SCN8A I240T240IDisease-causing (★★)
MUSK M1T1Disease-causing (★★)
MUSK D38Y38Ig-like 1Disease-causing (★)
MUSK V722A722Protein kinaseDisease-causing (★)

Same protein, different disease

Diseases related to Fetal akinesia deformation sequence

Frequently asked questions

Which genes are linked to Fetal akinesia deformation sequence?

In CATVariant, Fetal akinesia deformation sequence is linked to 4 analyzed proteins: MUSK (Muscle, skeletal receptor tyrosine-protein kinase), SCN4A (Sodium channel protein type 4 subunit alpha), SCN8A (Sodium channel protein type 8 subunit alpha) and RYR1 (Ryanodine receptor 1).

How many genetic variants are linked to Fetal akinesia deformation sequence?

271 variants: 7 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 235 are of uncertain significance or have conflicting reports.

Which uncertain variants in Fetal akinesia deformation sequence 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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