Familial cardiomyopathy: genes and variants

Familial cardiomyopathy is linked to 3 analyzed proteins (MYH7, TPM1 and LMNA). 8 DNA variants are known to cause it; 1 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 Familial cardiomyopathy

Where Familial cardiomyopathy variants cluster

Known disease-causing variants in Familial cardiomyopathy

VariantPositionProtein partClinical label
TPM1 D159N159Coiled coilDisease-causing (★★)
MYH7 H358L358Myosin motorDisease-causing
MYH7 K367N367Myosin motorDisease-causing
MYH7 S384Y384Myosin motorDisease-causing
MYH7 F510L510Myosin motorDisease-causing
MYH7 M684R684Myosin motorDisease-causing
MYH7 L725P725Myosin motorDisease-causing
MYH7 A423T423Myosin motorDisease-causing

Which prediction tools work for Familial cardiomyopathy

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

Same protein, different disease

Diseases related to Familial cardiomyopathy

Frequently asked questions

Which genes are linked to Familial cardiomyopathy?

In CATVariant, Familial cardiomyopathy is linked to 3 analyzed proteins: MYH7 (Myosin-7), TPM1 (Tropomyosin alpha-1 chain) and LMNA (Prelamin-A/C).

How many genetic variants are linked to Familial cardiomyopathy?

10 variants: 8 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 1 are of uncertain significance or have conflicting reports.

Which uncertain variants in Familial cardiomyopathy 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 Familial cardiomyopathy?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.80, based on 8 disease-causing and 23 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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