Spinal muscular atrophy: genes and variants

Spinal muscular atrophy is linked to 1 analyzed protein (SMN1). 9 DNA variants are known to cause it; 8 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: spinal muscular atrophy, type 1; spinal muscular atrophy, type II; spinal muscular atrophy, type III; spinal muscular atrophy, type IV

Genes linked to Spinal muscular atrophy

Where Spinal muscular atrophy variants cluster

Known disease-causing variants in Spinal muscular atrophy

VariantPositionProtein partClinical label
SMN1 G279D279Required for interaction with SYNCRIPDisease-causing (★★)
SMN1 G279V279Required for interaction with SYNCRIPDisease-causing (★★)
SMN1 G279C279Required for interaction with SYNCRIPDisease-causing (★★)
SMN1 G279R279Required for interaction with SYNCRIPDisease-causing (★★)
SMN1 Y272C272Involved in homooligomerizationDisease-causing (★★)
SMN1 G95R95TudorDisease-causing (★★)
SMN1 A2G2Disease-causing (★★)
SMN1 I116T116TudorDisease-causing (★★)
SMN1 D30N30Interacts with GEMIN2Disease-causing

Same protein, different disease

Diseases related to Spinal muscular atrophy

Frequently asked questions

Which genes are linked to Spinal muscular atrophy?

In CATVariant, Spinal muscular atrophy is linked to 1 analyzed protein: SMN1 (Survival motor neuron protein).

How many genetic variants are linked to Spinal muscular atrophy?

43 variants: 9 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 8 are of uncertain significance or have conflicting reports.

Which uncertain variants in Spinal muscular atrophy 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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