Junctional epidermolysis bullosa - pyloric atresia: genes and variants

Explore variant evidence for Junctional epidermolysis bullosa - pyloric atresia across 2 analyzed proteins (ITGB4, ITGA6). Linked ClinVar records include 13 pathogenic or likely pathogenic variants, 238 variants of uncertain significance and 48 with conflicting classifications.

Coverage includes proteins already analyzed in CATVariant, not every gene involved in this condition. Database links are associations, not an assessment of clinical gene–disease validity. Computable evidence prioritizes variants for expert review and does not reclassify them. Source labels are pooled across this disease family.

Data updated 2026-10-10. Automated aggregation, not a clinical review date.

Download variant evidence (CSV)

Genes linked to Junctional epidermolysis bullosa - pyloric atresia

Where Junctional epidermolysis bullosa - pyloric atresia variants cluster

ClinVar pathogenic and likely pathogenic variants linked to Junctional epidermolysis bullosa - pyloric atresia

VariantPositionProtein partClinical label
ITGB4 C61Y61PSIPathogenic / likely pathogenic (★★)
ITGB4 R252C252VWFAPathogenic / likely pathogenic (★★)
ITGB4 Y333D333ExtracellularPathogenic / likely pathogenic (★★)
ITGB4 R283C283VWFAPathogenic / likely pathogenic (★★)
ITGB4 R1225H1225Fibronectin type-III 2Pathogenic / likely pathogenic (★★)
ITGB4 R1281W1281Fibronectin type-III 2Pathogenic / likely pathogenic (★★)
ITGB4 C671S671ExtracellularPathogenic / likely pathogenic (★)
ITGB4 L822S822CytoplasmicPathogenic / likely pathogenic (★)
ITGB4 G234V234VWFAPathogenic / likely pathogenic (★)
ITGB4 C457Y457I-EGF 1Pathogenic / likely pathogenic (★)
ITGB4 R1014W1014Calx-betaPathogenic / likely pathogenic (★)
ITGB4 C38R38PSIPathogenic / likely pathogenic
ITGB4 L156P156VWFAPathogenic / likely pathogenic

Uncertain variants prioritized for review in Junctional epidermolysis bullosa - pyloric atresia

VariantPositionProtein partClinical labelEvidence
ITGB4 R252S252VWFAUncertain (★)+6: R252C at the same position is pathogenic; REVEL 0.948

Which prediction tools work for Junctional epidermolysis bullosa - pyloric atresia

Observed separation of ClinVar pathogenic / likely pathogenic from benign / likely benign variants (AUROC × 100). This benchmark is not a clinical recommendation.

Diseases related to Junctional epidermolysis bullosa - pyloric atresia

Frequently asked questions

Which genes have records linked to Junctional epidermolysis bullosa - pyloric atresia?

This view contains 2 analyzed proteins: ITGB4, ITGA6. Links come from clinical records and association databases. They do not imply that every listed gene is a validated cause, and missing genes may not yet be analyzed.

What do the clinical classifications mean?

Linked records include 13 pathogenic or likely pathogenic variants, 238 variants of uncertain significance and 48 with conflicting classifications. Labels summarize source records; multi-condition records may not make a separate assertion for this disease. Check the original record and review status.

Does the evidence score change a VUS classification?

No. 1 VUS or conflicting variants reach the likely-pathogenic points range on the computable criteria available here. This is a research prioritization signal, not a clinical classification. Patient, family and other required evidence may be missing.

Can I download the variant evidence?

Download the CSV for all 351 variants in the selected disease scope, including clinical labels, review status, evidence criteria, predictor scores, functional measurements and population frequency where available.

About this data

Variant–disease links come from ClinVar, Open Targets and UniProt, pooled from eligible public CATVariant analyses 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.

Download every variant as CSV · Browse all diseases · Methods · About the Center