Hepatocellular carcinoma: genes and variants

Hepatocellular carcinoma is linked to 19 analyzed proteins (CTNNB1, MET, TP53, TERT, APC, PIK3CA, ARID1A, ARID2 and 11 more). 6 DNA variants are known to cause it; 54 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 Hepatocellular carcinoma

Weakly linked (only a few uncertain records): AQP7, CASP8, F13B, GNAI1 and HLA-DPA1.

Known disease-causing variants in Hepatocellular carcinoma

VariantPositionProtein partClinical label
TP53 R273G273DNA bindingDisease-causing (★★)
CTNNB1 T41A41Disease-causing (★★)
MET H1094R1094Protein kinaseDisease-causing (★★)
CTNNB1 S45F45Disease-causing
CTNNB1 S45P45Disease-causing
TERT E668D668Reverse transcriptaseDisease-causing

Same protein, different disease

Diseases related to Hepatocellular carcinoma

Frequently asked questions

Which genes are linked to Hepatocellular carcinoma?

In CATVariant, Hepatocellular carcinoma is linked to 19 analyzed proteins: CTNNB1 (Catenin beta-1), MET (Hepatocyte growth factor receptor), TP53 (Cellular tumor antigen p53), TERT (Telomerase reverse transcriptase), APC (Adenomatous polyposis coli protein), PIK3CA (Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha isoform) and 13 more.

How many genetic variants are linked to Hepatocellular carcinoma?

73 variants: 6 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 54 are of uncertain significance or have conflicting reports.

Which uncertain variants in Hepatocellular carcinoma 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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