Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Validation of the BOADICEA model for epithelial tubo-ovarian cancer risk prediction in UK Biobank.

British journal of cancer - 1 Nov 2024

Yang Xin, Wu Yujia, Ficorella Lorenzo, Wilcox Naomi, Dennis Joe, Tyrer Jonathan, Carver Tim, Pashayan Nora, Tischkowitz Marc, Pharoah Paul D P, Easton Douglas F, Antoniou Antonis C

Abstract excerpt

BACKGROUND: The clinical validity of the multifactorial BOADICEA model for epithelial tubo-ovarian cancer (EOC) risk prediction has not been assessed in a large sample size or over a longer term. METHODS: We evaluated the model discrimination and calibration in the UK Biobank cohort comprising 199,429 women (733 incident EOCs) of European ancestry without previous cancer history. We predicted 10-year EOC risk...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biological Specimen Banks
Share to BRCA2 Protein

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Carcinoma, Ovarian Epithelial

Share to Fallopian Tube Neoplasms

Share to Fanconi Anemia Complementation Group N Protein

Share to Fanconi Anemia Complementation Group Proteins

Share to RNA Helicases

Share to UK Biobank

Source

Open in PubMed Open full text

Identifiers

PMID: 39294438
DOI: 10.1038/s41416-024-02851-z
PMCID: PMC11519606

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Validation of the BOADICEA model for epithelial tubo-ovarian cancer risk prediction in UK Biobank.PMID 39294438Read ↗

Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study.Semantic proximity Read ↗

A Comprehensive Epithelial Tubo-Ovarian Cancer Risk Prediction Model Incorporating Genetic and Epidemiological Risk FactorsSemantic proximity Read ↗

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence.Semantic proximity Read ↗

Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors.Semantic proximity Read ↗

Validation of the BOADICEA model in a prospective cohort of BRCA1/2 pathogenic variant carriers.Semantic proximity Read ↗

BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.Semantic proximity Read ↗

Validation of the BOADICEA model for predicting the likelihood of carrying pathogenic variants in eight breast and ovarian cancer susceptibility genesSemantic proximity Read ↗

Validation of the BOADICEA Model in a Prospective Cohort of<i>BRCA1/2</i>Pathogenic Variant CarriersSemantic proximity Read ↗

Validation of the BOADICEA model for predicting the likelihood of carrying pathogenic variants in eight breast and ovarian cancer susceptibility genes.Semantic proximity Read ↗

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on <i>RAD51C, RAD51D, BARD1</i>, updates to tumour pathology and cancer incidencesSemantic proximity Read ↗

Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestrySemantic proximity Read ↗

Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.