Myofibrillar myopathy: genes and variants

Myofibrillar myopathy is linked to 4 analyzed proteins (FLNC, BAG3, LDB3 and DES). 13 DNA variants are known to cause it; 2,693 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: myofibrillar myopathy 1; myofibrillar myopathy 4; myofibrillar myopathy 5; myofibrillar myopathy 6

Genes linked to Myofibrillar myopathy

Known disease-causing variants in Myofibrillar myopathy

VariantPositionProtein partClinical label
BAG3 P209S209Disease-causing (★★)
BAG3 P209L209Disease-causing (★★)
LDB3 A145T145Disease-causing (★★)
BAG3 E455K455BAGDisease-causing (★★)
BAG3 P470S470BAGDisease-causing (★★)
FLNC M222V222Calponin-homology (CH) 2Disease-causing (★★)
FLNC A1186V1186Filamin 10Disease-causing (★★)
FLNC V2297M2297Filamin 20Disease-causing (★★)
BAG3 P209Q209Disease-causing (★)
FLNC G1424V1424Filamin 12Disease-causing (★)
FLNC G1546D1546Filamin 14Disease-causing (★)
FLNC A1895P1895Filamin 17Disease-causing (★)
FLNC V2328M2328Filamin 21Disease-causing (★)

Which prediction tools work for Myofibrillar myopathy

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

Same protein, different disease

Diseases related to Myofibrillar myopathy

Frequently asked questions

Which genes are linked to Myofibrillar myopathy?

In CATVariant, Myofibrillar myopathy is linked to 4 analyzed proteins: FLNC (Filamin-C), BAG3 (BAG family molecular chaperone regulator 3), LDB3 (LIM domain-binding protein 3) and DES (Desmin).

How many genetic variants are linked to Myofibrillar myopathy?

2,958 variants: 13 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 2,693 are of uncertain significance or have conflicting reports.

Which uncertain variants in Myofibrillar myopathy 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 Myofibrillar myopathy?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.83, based on 10 disease-causing and 12 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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