Autosomal dominant distal renal tubular acidosis: genes and variants

Autosomal dominant distal renal tubular acidosis is linked to 1 analyzed protein (SLC4A1). 11 DNA variants are known to cause it; 49 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 Autosomal dominant distal renal tubular acidosis

Where Autosomal dominant distal renal tubular acidosis variants cluster

Known disease-causing variants in Autosomal dominant distal renal tubular acidosis

VariantPositionProtein partClinical label
SLC4A1 R808H808CytoplasmicDisease-causing (★★)
SLC4A1 G701D701TransmembraneDisease-causing (★★)
SLC4A1 R589H589TransmembraneDisease-causing (★★)
SLC4A1 R589C589TransmembraneDisease-causing (★★)
SLC4A1 G609R609TransmembraneDisease-causing (★★)
SLC4A1 R760Q760(Microbial infection) 5ABC regionDisease-causing (★★)
SLC4A1 V488M488TransmembraneDisease-causing (★★)
SLC4A1 A858D858Discontinuously helicalDisease-causing (★★)
SLC4A1 M909T909CytoplasmicDisease-causing (★★)
SLC4A1 G606R606TransmembraneDisease-causing (★)
SLC4A1 S613F613TransmembraneDisease-causing

Which prediction tools work for Autosomal dominant distal renal tubular acidosis

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

Same protein, different disease

Diseases related to Autosomal dominant distal renal tubular acidosis

Frequently asked questions

Which genes are linked to Autosomal dominant distal renal tubular acidosis?

In CATVariant, Autosomal dominant distal renal tubular acidosis is linked to 1 analyzed protein: SLC4A1 (Band 3 anion transport protein).

How many genetic variants are linked to Autosomal dominant distal renal tubular acidosis?

70 variants: 11 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 49 are of uncertain significance or have conflicting reports.

Which uncertain variants in Autosomal dominant distal renal tubular acidosis 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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