Breast and/or ovarian cancer: genes and variants

Breast and/or ovarian cancer is linked to 12 analyzed proteins (TP53, CHEK2, RAD51D, PMS2, BARD1, MLH1, STK11, RAD51C and 4 more). 5 DNA variants are known to cause it; 174 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 Breast and/or ovarian cancer

Weakly linked (only a few uncertain records): PALB2, ATM and PTEN.

Known disease-causing variants in Breast and/or ovarian cancer

VariantPositionProtein partClinical label
CHEK2 R145W145FHADisease-causing (★★)
RAD51D S207L207Disease-causing (★★)
TP53 R158H158DNA bindingDisease-causing (★★)
TP53 R213Q213DNA bindingDisease-causing (★★)
TP53 R267W267DNA bindingDisease-causing (★★)

Same protein, different disease

Diseases related to Breast and/or ovarian cancer

Frequently asked questions

Which genes are linked to Breast and/or ovarian cancer?

In CATVariant, Breast and/or ovarian cancer is linked to 12 analyzed proteins: TP53 (Cellular tumor antigen p53), CHEK2 (Serine/threonine-protein kinase Chk2), RAD51D (DNA repair protein RAD51 homolog 4), PMS2 (Mismatch repair endonuclease PMS2), BARD1 (BRCA1-associated RING domain protein 1), MLH1 (DNA mismatch repair protein Mlh1) and 6 more.

How many genetic variants are linked to Breast and/or ovarian cancer?

187 variants: 5 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 174 are of uncertain significance or have conflicting reports.

Which uncertain variants in Breast and/or ovarian cancer 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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