Neonatal severe primary hyperparathyroidism: genes and variants

Neonatal severe primary hyperparathyroidism is linked to 1 analyzed protein (CASR). 11 DNA variants are known to cause it; 45 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 Neonatal severe primary hyperparathyroidism

Where Neonatal severe primary hyperparathyroidism variants cluster

Known disease-causing variants in Neonatal severe primary hyperparathyroidism

VariantPositionProtein partClinical label
CASR R220W220Ligand-binding 2 (LB2)Disease-causing (★★)
CASR N64D64Ligand-binding 1 (LB1)Disease-causing (★★)
CASR E127K127Ligand-binding 1 (LB1)Disease-causing (★★)
CASR G509R509ExtracellularDisease-causing (★★)
CASR G613E613TransmembraneDisease-causing (★★)
CASR R680H680TransmembraneDisease-causing (★★)
CASR V689M689TransmembraneDisease-causing (★★)
CASR F832S832ExtracellularDisease-causing (★★)
CASR R227L227Ligand-binding 2 (LB2)Disease-causing (★★)
CASR R69S69Ligand-binding 1 (LB1)Disease-causing (★)
CASR G670E670ExtracellularDisease-causing

Which prediction tools work for Neonatal severe primary hyperparathyroidism

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

Same protein, different disease

Diseases related to Neonatal severe primary hyperparathyroidism

Frequently asked questions

Which genes are linked to Neonatal severe primary hyperparathyroidism?

In CATVariant, Neonatal severe primary hyperparathyroidism is linked to 1 analyzed protein: CASR (Extracellular calcium-sensing receptor).

How many genetic variants are linked to Neonatal severe primary hyperparathyroidism?

66 variants: 11 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 45 are of uncertain significance or have conflicting reports.

Which uncertain variants in Neonatal severe primary hyperparathyroidism 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 Neonatal severe primary hyperparathyroidism?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.83, based on 9 disease-causing and 11 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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