Autosomal recessive congenital ichthyosis: genes and variants

Autosomal recessive congenital ichthyosis is linked to 1 analyzed protein (TGM1). 64 DNA variants are known to cause it; 93 more are uncertain, and 0 of those already look disease-causing on computable evidence.

Last updated 2026-09-30. Research information, not medical advice.

Also known as: Autosomal recessive congenital ichthyosis 1; Autosomal recessive congenital ichthyosis 7

Genes linked to Autosomal recessive congenital ichthyosis

Weakly linked (only a few uncertain records): BACH2, FLG and MEFV.

Known disease-causing variants in Autosomal recessive congenital ichthyosis

VariantPositionProtein partClinical label
TGM1 R143H143Disease-causing (★★★★)
TGM1 R142C142Disease-causing (★★)
TGM1 G144R144Disease-causing (★★)
TGM1 G144E144Disease-causing (★★)
TGM1 R315P315Disease-causing (★★)
TGM1 R315C315Disease-causing (★★)
TGM1 R389P389Disease-causing (★★)
TGM1 R389H389Disease-causing (★★)
TGM1 R142H142Disease-causing (★★)
TGM1 R143C143Disease-causing (★★)
TGM1 R286W286Disease-causing (★★)
TGM1 G291S291Disease-causing (★★)
TGM1 G291D291Disease-causing (★★)
TGM1 R315L315Disease-causing (★★)
TGM1 R315H315Disease-causing (★★)
TGM1 R389C389Disease-causing (★★)
TGM1 R396H396Disease-causing (★★)
TGM1 R396L396Disease-causing (★★)
TGM1 R396C396Disease-causing (★★)
TGM1 G473R473Disease-causing (★★)
TGM1 G473S473Disease-causing (★★)
TGM1 G273R273Disease-causing (★★)
TGM1 R286Q286Disease-causing (★★)
TGM1 R307W307Disease-causing (★★)
TGM1 R307G307Disease-causing (★★)
TGM1 R126C126Disease-causing (★★)
TGM1 Y134H134Disease-causing (★★)
TGM1 R264W264Disease-causing (★★)
TGM1 G278R278Disease-causing (★★)
TGM1 I304F304Disease-causing (★★)
TGM1 P474S474Disease-causing (★★)
TGM1 D490G490Disease-causing (★★)
TGM1 Y544C544Disease-causing (★★)
TGM1 R126H126Disease-causing (★★)
TGM1 Y134C134Disease-causing (★★)
TGM1 R264Q264Disease-causing (★★)
TGM1 R323W323Disease-causing (★★)
TGM1 V383M383Disease-causing (★★)
TGM1 R687H687Disease-causing (★★)
TGM1 I140M140Disease-causing (★★)
TGM1 G218S218Disease-causing (★★)
TGM1 P352A352Disease-causing (★★)
TGM1 S358R358Disease-causing (★★)
TGM1 V379L379Disease-causing (★★)
TGM1 W455R455Disease-causing (★★)
TGM1 I480F480Disease-causing (★★)
TGM1 T529I529Disease-causing (★★)
TGM1 R687C687Disease-causing (★★)
TGM1 S772R772Disease-causing (★★)
TGM1 S272P272Disease-causing (★★)
TGM1 T491M491Disease-causing (★★)
TGM1 R142P142Disease-causing (★)
TGM1 R142Q142Disease-causing (★)
TGM1 W288R288Disease-causing (★)
TGM1 H436R436Disease-causing (★)
TGM1 F435L435Disease-causing (★)
TGM1 G524D524Disease-causing (★)
TGM1 R225P225Disease-causing (★)
TGM1 Y276N276Disease-causing
TGM1 G392D392Disease-causing

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Which prediction tools work for Autosomal recessive congenital ichthyosis

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

Diseases related to Autosomal recessive congenital ichthyosis

Frequently asked questions

Which genes are linked to Autosomal recessive congenital ichthyosis?

In CATVariant, Autosomal recessive congenital ichthyosis is linked to 1 analyzed protein: TGM1 (Protein-glutamine gamma-glutamyltransferase K).

How many genetic variants are linked to Autosomal recessive congenital ichthyosis?

207 variants: 64 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 93 are of uncertain significance or have conflicting reports.

Which uncertain variants in Autosomal recessive congenital ichthyosis 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 Autosomal recessive congenital ichthyosis?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.94, based on 16 disease-causing and 278 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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