Polygenic Score (PGS) ID: PGS002799

Predicted Trait
Reported Trait Prostate cancer
Mapped Trait(s) prostate carcinoma (EFO_0001663)
Released in PGS Catalog: Oct. 19, 2022
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Score Details

Score Construction
PGS Name GRS138_EA
Development Method
Name Genome-wide significant SNPs
Parameters p<5E-08, r2<0.2
Variants
Original Genome Build NR
Number of Variants 138
Effect Weight Type log(OR)
PGS Source
PGS Catalog Publication (PGP) ID PGP000379
Citation (link to publication) Shi Z et al. Eur Urol Open Sci (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 70.1%
East Asian: 18.4%
African: 7.7%
Hispanic or Latin American: 3.8%
306,220 individuals (100%)
PGS Evaluation
East Asian: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST011049
Europe PMC: 33398198
 177,526 individuals European NR
GWAS Catalog: GCST011049
Europe PMC: 33398198
 21,354 individuals African American or Afro-Caribbean, African unspecified NR
GWAS Catalog: GCST011049
Europe PMC: 33398198
 27,420 individuals East Asian NR
GWAS Catalog: GCST011049
Europe PMC: 33398198
 7,953 individuals Hispanic or Latin American NR
GWAS Catalog: GCST002944
Europe PMC: 26034056
 3,226 individuals East Asian CMHS, GERA, ProHealth, RPGEH
GWAS Catalog: GCST008860
Europe PMC: 31562322
 15,770 individuals East Asian NR
GWAS Catalog: GCST001702
Europe PMC: 23023329
 2,425 individuals East Asian NR
GWAS Catalog: GCST003148
Europe PMC: 26443449
 7,394 individuals East Asian NR
GWAS Catalog: GCST002944
Europe PMC: 26034056
 3,629 individuals Hispanic or Latin American CMHS, GERA, ProHealth, RPGEH
GWAS Catalog: GCST002944
Europe PMC: 26034056
 2,251 individuals African American or Afro-Caribbean CMHS, GERA, ProHealth, RPGEH
GWAS Catalog: GCST002944
Europe PMC: 26034056
 37,272 individuals European CMHS, GERA, ProHealth, RPGEH

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
PPM015509 PSS009967|
East Asian Ancestry|
13,985 individuals
 PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
 Reported Trait: Prostate cancer OR: 1.34 [1.28, 1.42] — — age, 10 genetic PCs —

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
PSS009967 — 13,985 individuals,
100.0 % Male samples
 Median = 61.0 years East Asian — NR —