Ovarian neoplasm: genes and variants

Ovarian neoplasm is linked to 11 analyzed proteins (PIK3CA, TP53, BRCA1, BRCA2, PARP2, TOP1, TOP2A, ERBB2 and 3 more). 10 DNA variants are known to cause it; 9 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 Ovarian neoplasm

Weakly linked (only a few uncertain records): FGFR3, MSH2, PTEN and RB1.

Where Ovarian neoplasm variants cluster

Known disease-causing variants in Ovarian neoplasm

VariantPositionProtein partClinical label
PIK3CA E545A545PIK helicalDisease-causing (★★)
PIK3CA Q546R546PIK helicalDisease-causing (★★)
PIK3CA N345K345C2 PI3K-typeDisease-causing (★★)
TP53 C176R176DNA bindingDisease-causing
BRIP1 Q793H793Disease-causing
CTNNB1 S37C37Disease-causing
ERBB2 N824S824Protein kinaseDisease-causing
PIK3CA E542Q542PIK helicalDisease-causing
PIK3CA V344G344C2 PI3K-typeDisease-causing
ERBB2 N857S857Protein kinaseDisease-causing

Which prediction tools work for Ovarian neoplasm

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

Same protein, different disease

Diseases related to Ovarian neoplasm

Frequently asked questions

Which genes are linked to Ovarian neoplasm?

In CATVariant, Ovarian neoplasm is linked to 11 analyzed proteins: PIK3CA (Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha isoform), TP53 (Cellular tumor antigen p53), BRCA1 (Breast cancer type 1 susceptibility protein), BRCA2 (Breast cancer type 2 susceptibility protein), PARP2 (Poly [ADP-ribose] polymerase 2), TOP1 (DNA topoisomerase 1) and 5 more.

How many genetic variants are linked to Ovarian neoplasm?

25 variants: 10 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 9 are of uncertain significance or have conflicting reports.

Which uncertain variants in Ovarian neoplasm 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 Ovarian neoplasm?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.82, based on 8 disease-causing and 536 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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