Junctional epidermolysis bullosa: genes and variants

Junctional epidermolysis bullosa is linked to 5 analyzed proteins (LAMB3, LAMA3, ITGB4, LAMC2 and COL17A1). 9 DNA variants are known to cause it; 100 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

Weakly linked (only a few uncertain records): ITGA6.

Known disease-causing variants in Junctional epidermolysis bullosa

VariantPositionProtein partClinical label
LAMB3 C293S293Laminin EGF-like 1Disease-causing (★★)
LAMB3 C355R355Laminin EGF-like 2Disease-causing (★★)
ITGB4 R1225H1225Fibronectin type-III 2Disease-causing (★★)
ITGB4 R1281W1281Fibronectin type-III 2Disease-causing (★★)
LAMA3 K3214N3214Laminin G-like 5Disease-causing (★★)
LAMB3 M1I1Disease-causing (★★)
LAMB3 L108P108Laminin N-terminalDisease-causing (★)
LAMC2 G127W127Laminin EGF-like 2Disease-causing (★)
LAMA3 A3286S3286Laminin G-like 5Disease-causing (★)

Which prediction tools work for Junctional epidermolysis bullosa

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

Same protein, different disease

Diseases related to Junctional epidermolysis bullosa

Frequently asked questions

Which genes are linked to Junctional epidermolysis bullosa?

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

How many genetic variants are linked to Junctional epidermolysis bullosa?

160 variants: 9 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 100 are of uncertain significance or have conflicting reports.

Which uncertain variants in Junctional epidermolysis bullosa 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 Junctional epidermolysis bullosa?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.82, based on 9 disease-causing and 209 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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