Polygenic Score (PGS) ID: PGS003418

Predicted Trait
Reported Trait Prostate cancer
Mapped Trait(s) prostate cancer (MONDO_0008315)
Released in PGS Catalog: Feb. 8, 2023
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Score Details

Score Construction
PGS Name PRState_Eur
Development Method
Name Genome-wide significant SNPs
Parameters p<5e-08, r2=0.1
Original Genome Build GRCh37
Number of Variants 7
Effect Weight Type log(OR)
PGS Source
PGS Catalog Publication (PGP) ID PGP000430
Citation (link to publication) Pagadala MS et al. BMC Cancer (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
5,393 individuals (100%)
PGS Evaluation
African: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
5,393 individuals,
100.0 % Male samples
European ELLIPSE

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)
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
PPM017071 PSS010114|
African Ancestry|
4,533 individuals
PGP000430 |
Pagadala MS et al. BMC Cancer (2022)
Reported Trait: Prostate cancer AUROC: 0.52 [0.5, 0.53] genetics, age and family history

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
PSS010114 4,533 individuals,
100.0 % Male samples
African unspecified ELLIPSE