Nephrogenic syndrome of inappropriate antidiuresis: genes and variants

Nephrogenic syndrome of inappropriate antidiuresis is linked to 1 analyzed protein (AVPR2). 7 DNA variants are known to cause it; 23 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 Nephrogenic syndrome of inappropriate antidiuresis

Where Nephrogenic syndrome of inappropriate antidiuresis variants cluster

Known disease-causing variants in Nephrogenic syndrome of inappropriate antidiuresis

VariantPositionProtein partClinical label
AVPR2 R137C137CytoplasmicDisease-causing (★★)
AVPR2 R137H137CytoplasmicDisease-causing (★★)
AVPR2 Y128S128TransmembraneDisease-causing (★★)
AVPR2 V88M88TransmembraneDisease-causing (★★)
AVPR2 R104C104ExtracellularDisease-causing (★★)
AVPR2 L62P62CytoplasmicDisease-causing (★)
AVPR2 R137L137CytoplasmicDisease-causing

Same protein, different disease

Diseases related to Nephrogenic syndrome of inappropriate antidiuresis

Frequently asked questions

Which genes are linked to Nephrogenic syndrome of inappropriate antidiuresis?

In CATVariant, Nephrogenic syndrome of inappropriate antidiuresis is linked to 1 analyzed protein: AVPR2 (Vasopressin V2 receptor).

How many genetic variants are linked to Nephrogenic syndrome of inappropriate antidiuresis?

43 variants: 7 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 23 are of uncertain significance or have conflicting reports.

Which uncertain variants in Nephrogenic syndrome of inappropriate antidiuresis 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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