Diastrophic dysplasia: genes and variants

Explore variant evidence for Diastrophic dysplasia across 1 analyzed protein (SLC26A2). Linked ClinVar records include 16 pathogenic or likely pathogenic variants, 78 variants of uncertain significance and 17 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. Counts refer to the selected disease label.

Data updated 2026-10-11. Automated aggregation, not a clinical review date.

Download variant evidence (CSV)

Genes linked to Diastrophic dysplasia

Where Diastrophic dysplasia variants cluster

ClinVar pathogenic and likely pathogenic variants linked to Diastrophic dysplasia

VariantPositionProtein partClinical label
SLC26A2 C653G653STASPathogenic / likely pathogenic (★★)
SLC26A2 L483P483Pathogenic / likely pathogenic (★★)
SLC26A2 A715V715STASPathogenic / likely pathogenic (★★)
SLC26A2 H665P665STASPathogenic / likely pathogenic (★★)
SLC26A2 L315P315Pathogenic / likely pathogenic (★)
SLC26A2 A386G386TransmembranePathogenic / likely pathogenic (★)
SLC26A2 I426N426TransmembranePathogenic / likely pathogenic (★)
SLC26A2 I426T426TransmembranePathogenic / likely pathogenic (★)
SLC26A2 C653S653STASPathogenic / likely pathogenic (★)
SLC26A2 A715T715STASPathogenic / likely pathogenic (★)
SLC26A2 W505R505Pathogenic / likely pathogenic (★)
SLC26A2 R671H671STASPathogenic / likely pathogenic (★)
SLC26A2 G166R166Pathogenic / likely pathogenic
SLC26A2 D111Y111Pathogenic / likely pathogenic
SLC26A2 G484D484Pathogenic / likely pathogenic
SLC26A2 D250V250TransmembranePathogenic / likely pathogenic

Uncertain variants prioritized for review in Diastrophic dysplasia

VariantPositionProtein partClinical labelEvidence
SLC26A2 C653Y653STASConflicting reports (★)+6: 2 other pathogenic changes within 3 positions; C653S at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 0.90
SLC26A2 L483F483Uncertain (★)+6: 2 other pathogenic changes within 3 positions; L483P at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 0.87

Which prediction tools work for Diastrophic dysplasia

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 Diastrophic dysplasia

Frequently asked questions

Which genes have records linked to Diastrophic dysplasia?

This view contains 1 analyzed proteins: SLC26A2. 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 16 pathogenic or likely pathogenic variants, 78 variants of uncertain significance and 17 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. 2 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 140 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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