Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer

Other authors

Institut Català de la Salut

[Barnes DR, Tyrer JP, Dennis J, Leslie G, Bolla MK, Lush M] Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. [Balmaña J] Grup de Genètica del Càncer Hereditari, Vall d’Hebron Institut d'Oncologia (VHIO), Barcelona, Spain. Servei d’Oncologia Mèdica, Vall d’Hebron Hospital Universitari, Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2026-03-25T09:37:09Z

2026-03-25T09:37:09Z

2025-11-20



Abstract

Genome-wide association study; Serous ovarian cancer


Estudi d'associació de tot el genoma; Càncer serós d'ovari


Estudio de asociación de todo el genoma; Cáncer seroso de ovario


Nineteen genomic regions have been associated with high-grade serous ovarian cancer (HGSOC). We meta-analyzed >22 million variants for 398,238 women from the Ovarian Cancer Association Consortium (OCAC), UK Biobank (UKBB) and Consortium of Investigators of Modifiers of BRCA1/BRCA2 (CIMBA) to identify novel HGSOC susceptibility loci. Eight novel variants were associated with HGSOC risk. An interesting discovery biologically was TP53 3’-UTR SNP rs78378222-T’s association with HGSOC (per-T-allele relative risk (RR) = 1.44, 95% CI:1.28–1.62, P = 1.76 × 10−9). Polygenic scores (PGS) were developed using OCAC and CIMBA data and trained on FinnGen data. The optimal PGS included 64,518 variants and was associated with an odds ratio of 1.46 (95% CI:1.37–1.54) per standard deviation when validated in the UKBB. This study represents the largest HGSOC GWAS to date – demonstrating that improvements in imputation reference panels and increased sample sizes help to identify HGSOC associated variants that previously went undetected, ultimately improving PGS which can improve personalized HGSOC risk prediction.

Document Type

Article


Published version

Language

English

Publisher

Nature Portfolio

Related items

npj Genomic Medicine;10

https://doi.org/10.1038/s41525-025-00529-w

Recommended citation

This citation was generated automatically.

Rights

Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

This item appears in the following Collection(s)