Juvenile polyposis syndrome: genes and variants

Explore variant evidence for Juvenile polyposis syndrome across 2 analyzed proteins (SMAD4, BMPR1A). Linked ClinVar records include 26 pathogenic or likely pathogenic variants, 1,191 variants of uncertain significance and 166 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 Juvenile polyposis syndrome

Where Juvenile polyposis syndrome variants cluster

ClinVar pathogenic and likely pathogenic variants linked to Juvenile polyposis syndrome

VariantPositionProtein partClinical label
SMAD4 R361C361MH2Pathogenic / likely pathogenic (★★)
SMAD4 I500V500MH2Pathogenic / likely pathogenic (★★)
BMPR1A M1I1Pathogenic / likely pathogenic (★★)
BMPR1A M1L1Pathogenic / likely pathogenic (★★)
BMPR1A M1V1Pathogenic / likely pathogenic (★★)
BMPR1A E411K411Protein kinasePathogenic / likely pathogenic (★★)
SMAD4 R361G361MH2Pathogenic / likely pathogenic (★★)
SMAD4 R361H361MH2Pathogenic / likely pathogenic (★★)
SMAD4 C363Y363MH2Pathogenic / likely pathogenic (★★)
SMAD4 C363G363MH2Pathogenic / likely pathogenic (★★)
SMAD4 I500T500MH2Pathogenic / likely pathogenic (★★)
BMPR1A C124S124ExtracellularPathogenic / likely pathogenic (★★)
BMPR1A C124Y124ExtracellularPathogenic / likely pathogenic (★★)
SMAD4 D351V351MH2Pathogenic / likely pathogenic (★★)
SMAD4 G352R352MH2Pathogenic / likely pathogenic (★★)
SMAD4 Y353C353MH2Pathogenic / likely pathogenic (★★)
SMAD4 C499R499MH2Pathogenic / likely pathogenic (★★)
BMPR1A R119C119ExtracellularPathogenic / likely pathogenic (★★)
BMPR1A G144R144ExtracellularPathogenic / likely pathogenic (★★)
SMAD4 R380K380MH2Pathogenic / likely pathogenic (★★)
SMAD4 W524C524MH2Pathogenic / likely pathogenic (★★)
SMAD4 R361S361MH2Pathogenic / likely pathogenic (★)
SMAD4 I500M500MH2Pathogenic / likely pathogenic (★)
SMAD4 L364W364MH2Pathogenic / likely pathogenic (★)
SMAD4 I383M383MH2Pathogenic / likely pathogenic (★)
SMAD4 L533P533MH2Pathogenic / likely pathogenic (★)

Which prediction tools work for Juvenile polyposis syndrome

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

Same protein, different disease

Diseases related to Juvenile polyposis syndrome

Frequently asked questions

Which genes have records linked to Juvenile polyposis syndrome?

This view contains 2 analyzed proteins: SMAD4, BMPR1A. 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 26 pathogenic or likely pathogenic variants, 1,191 variants of uncertain significance and 166 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. 0 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 1,454 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.

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