Muscular dystrophy, limb-girdle, autosomal recessive 23: genes and variants

Muscular dystrophy, limb-girdle, autosomal recessive 23 is linked to 3 analyzed proteins (LAMA2, HMGCR and L1CAM). 6 DNA variants are known to cause it; 88 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: muscular dystrophy, limb-girdle, autosomal recessive 28

Genes linked to Muscular dystrophy, limb-girdle, autosomal recessive 23

Known disease-causing variants in Muscular dystrophy, limb-girdle, autosomal recessive 23

VariantPositionProtein partClinical label
LAMA2 M1T1Disease-causing (★★)
LAMA2 R1508K1508Laminin EGF-like 16Disease-causing (★★)
LAMA2 G284R284Laminin N-terminalDisease-causing (★)
LAMA2 C969Y969Laminin EGF-like 10Disease-causing (★)
L1CAM D72A72Ig-like C2-type 1Disease-causing (★)
HMGCR Y792C792CytoplasmicDisease-causing

Same protein, different disease

Diseases related to Muscular dystrophy, limb-girdle, autosomal recessive 23

Frequently asked questions

Which genes are linked to Muscular dystrophy, limb-girdle, autosomal recessive 23?

In CATVariant, Muscular dystrophy, limb-girdle, autosomal recessive 23 is linked to 3 analyzed proteins: LAMA2 (Laminin subunit alpha-2), HMGCR (3-hydroxy-3-methylglutaryl-coenzyme A reductase) and L1CAM (Neural cell adhesion molecule L1).

How many genetic variants are linked to Muscular dystrophy, limb-girdle, autosomal recessive 23?

113 variants: 6 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 88 are of uncertain significance or have conflicting reports.

Which uncertain variants in Muscular dystrophy, limb-girdle, autosomal recessive 23 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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