Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia: genes and variants

Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia is linked to 1 analyzed protein (ACVRL1). 6 DNA variants are known to cause it; 0 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 Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia

Known disease-causing variants in Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia

VariantPositionProtein partClinical label
ACVRL1 V198E198GSDisease-causing
ACVRL1 Q201R201GSDisease-causing
ACVRL1 D263G263Protein kinaseDisease-causing
ACVRL1 W399L399Protein kinaseDisease-causing
ACVRL1 D427V427Protein kinaseDisease-causing
ACVRL1 R218P218Protein kinaseDisease-causing

Same protein, different disease

Diseases related to Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia

Frequently asked questions

Which genes are linked to Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia?

In CATVariant, Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia is linked to 1 analyzed protein: ACVRL1 (Activin receptor type-1-like).

How many genetic variants are linked to Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia?

6 variants: 6 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 0 are of uncertain significance or have conflicting reports.

Which uncertain variants in Pulmonary arterial hypertension related to hereditary hemorrhagic telangiectasia 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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