Junctional epidermolysis bullosa, non-Herlitz type: genes and variants

Junctional epidermolysis bullosa, non-Herlitz type is linked to 5 analyzed proteins (LAMB3, COL17A1, LAMA3, LAMC2 and ITGB4). 2 DNA variants are known to cause it; 86 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 Junctional epidermolysis bullosa, non-Herlitz type

Known disease-causing variants in Junctional epidermolysis bullosa, non-Herlitz type

VariantPositionProtein partClinical label
LAMB3 E210K210Laminin N-terminalDisease-causing (★★)
LAMB3 K207Q207Laminin N-terminalDisease-causing

Same protein, different disease

Diseases related to Junctional epidermolysis bullosa, non-Herlitz type

Frequently asked questions

Which genes are linked to Junctional epidermolysis bullosa, non-Herlitz type?

In CATVariant, Junctional epidermolysis bullosa, non-Herlitz type is linked to 5 analyzed proteins: LAMB3 (Laminin subunit beta-3), COL17A1 (Collagen alpha-1(XVII) chain), LAMA3 (Laminin subunit alpha-3), LAMC2 (Laminin subunit gamma-2) and ITGB4 (Integrin beta-4).

How many genetic variants are linked to Junctional epidermolysis bullosa, non-Herlitz type?

140 variants: 2 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 86 are of uncertain significance or have conflicting reports.

Which uncertain variants in Junctional epidermolysis bullosa, non-Herlitz type 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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