PGS Publication: PGP000417

Publication Information (EuropePMC)
Title A combined clinical and genetic model for predicting risk of ovarian cancer.
PubMed ID 36503897(Europe PMC)
doi 10.1097/cej.0000000000000771
Publication Date Oct. 27, 2022
Journal Eur J Cancer Prev
Author(s) Dite GS, Spaeth E, Murphy NM, Allman R.
Released in PGS Catalog: Jan. 19, 2023

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
East Asian
South Asian
Additional Asian Ancestries
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

External PGS Evaluated By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGP000277 |
Dareng EO et al. Eur J Hum Genet (2022)
Epithelial ovarian cancer ovarian carcinoma 36

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM017029 PGS003394
European Ancestry|
189,171 individuals
PGP000417 |
Dite GS et al. Eur J Cancer Prev (2022)
Reported Trait: 10-year ovarian cancer risks C-index: 0.623 [0.603, 0.642]

Evaluated Samples

PGS Sample Set ID
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS010098 189,171 individuals,
0.0 % Male samples
European UKB