Polygenic Score (PGS) ID: PGS004581

Predicted Trait
Reported Trait Prostate cancer
Mapped Trait(s) prostate carcinoma (EFO_0001663)
Released in PGS Catalog: Feb. 20, 2024
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Score Details

Score Construction
PGS Name PRCA_PRSCS
Development Method
Name PRS-CS
Parameters PRS-CS-auto, 1000G European sample (N = 503) as the external LD reference panel
Variants
Original Genome Build GRCh38
Number of Variants 1,102,292
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000562
Citation (link to publication) Youssef O et al. Lab Invest (2024)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
140,254 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST006085
Europe PMC: 29892016
140,254 individuals European NR

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
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM020696 PSS011367|
European Ancestry|
151,620 individuals
PGP000562 |
Youssef O et al. Lab Invest (2024)
Reported Trait: Prostate cancer OR: 2.13 [2.08, 2.17]

Evaluated Samples

PGS Sample Set ID
(PSS)
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
PSS011367
[
  • 140,030 cases
  • , 11,590 controls
]
,
100.0 % Male samples
European
(Finnish)
FinnGen