Pilomatrixoma: genes and variants

Pilomatrixoma is linked to 2 analyzed proteins (CTNNB1 and MUTYH). 9 DNA variants are known to cause it; 4 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 Pilomatrixoma

Known disease-causing variants in Pilomatrixoma

VariantPositionProtein partClinical label
CTNNB1 T41A41Disease-causing (★★)
MUTYH R179C179Disease-causing (★★)
CTNNB1 D32G32Disease-causing
CTNNB1 D32Y32Disease-causing
CTNNB1 S33F33Disease-causing
CTNNB1 S33Y33Disease-causing
CTNNB1 S37C37Disease-causing
CTNNB1 S37F37Disease-causing
CTNNB1 G34E34Disease-causing

Which prediction tools work for Pilomatrixoma

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

Same protein, different disease

Diseases related to Pilomatrixoma

Frequently asked questions

Which genes are linked to Pilomatrixoma?

In CATVariant, Pilomatrixoma is linked to 2 analyzed proteins: CTNNB1 (Catenin beta-1) and MUTYH (Adenine DNA glycosylase).

How many genetic variants are linked to Pilomatrixoma?

20 variants: 9 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 4 are of uncertain significance or have conflicting reports.

Which uncertain variants in Pilomatrixoma 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 Pilomatrixoma?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 1.00, based on 9 disease-causing and 68 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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