SLC35A2-congenital disorder of glycosylation: genes and variants

SLC35A2-congenital disorder of glycosylation is linked to 1 analyzed protein (SLC35A2). 12 DNA variants are known to cause it; 84 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 SLC35A2-congenital disorder of glycosylation

Known disease-causing variants in SLC35A2-congenital disorder of glycosylation

VariantPositionProtein partClinical label
SLC35A2 M1V1Disease-causing (★★)
SLC35A2 G282R282TransmembraneDisease-causing (★★)
SLC35A2 M1K1Disease-causing (★)
SLC35A2 M1L1Disease-causing (★)
SLC35A2 L43P43TransmembraneDisease-causing (★)
SLC35A2 C82F82TransmembraneDisease-causing (★)
SLC35A2 Y267C267Disease-causing (★)
SLC35A2 T268I268Disease-causing (★)
SLC35A2 L330P330TransmembraneDisease-causing (★)
SLC35A2 L172P172TransmembraneDisease-causing (★)
SLC35A2 S308F308Disease-causing (★)
SLC35A2 K78R78TransmembraneDisease-causing

Which prediction tools work for SLC35A2-congenital disorder of glycosylation

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

Diseases related to SLC35A2-congenital disorder of glycosylation

Frequently asked questions

Which genes are linked to SLC35A2-congenital disorder of glycosylation?

In CATVariant, SLC35A2-congenital disorder of glycosylation is linked to 1 analyzed protein: SLC35A2 (UDP-galactose translocator).

How many genetic variants are linked to SLC35A2-congenital disorder of glycosylation?

134 variants: 12 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 84 are of uncertain significance or have conflicting reports.

Which uncertain variants in SLC35A2-congenital disorder of glycosylation 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 SLC35A2-congenital disorder of glycosylation?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.98, based on 11 disease-causing and 27 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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