Polygenic Score (PGS) ID: PGS002797

Predicted Trait
Reported Trait Prostate cancer
Mapped Trait(s) prostate carcinoma (EFO_0001663)
Released in PGS Catalog: Oct. 19, 2022
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Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name GRS67_His
Development Method
Name Genome-wide significant SNPs
Parameters p<5E-08, r2<0.2
Variants
Original Genome Build NR
Number of Variants 67
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: 74.4%
East Asian: 10.6%
African: 8.2%
Hispanic or Latin American: 6.8%
288,584 individuals (100%)
PGS Evaluation
Hispanic or Latin American: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
GWAS Catalog: GCST002944
Europe PMC: 26034056
3,226 individualsEast AsianCMHS, GERA, ProHealth, RPGEH
GWAS Catalog: GCST002944
Europe PMC: 26034056
2,251 individualsAfrican American or Afro-CaribbeanCMHS, GERA, ProHealth, RPGEH
GWAS Catalog: GCST002944
Europe PMC: 26034056
3,629 individualsHispanic or Latin AmericanCMHS, GERA, ProHealth, RPGEH
GWAS Catalog: GCST002944
Europe PMC: 26034056
37,272 individualsEuropeanCMHS, GERA, ProHealth, RPGEH
GWAS Catalog: GCST008231
Europe PMC: 31226226
7,953 individualsHispanic or Latin AmericanNR
GWAS Catalog: GCST011049
Europe PMC: 33398198
177,526 individualsEuropeanNR
GWAS Catalog: GCST011049
Europe PMC: 33398198
21,354 individualsAfrican American or Afro-Caribbean, African unspecifiedNR
GWAS Catalog: GCST011049
Europe PMC: 33398198
27,420 individualsEast AsianNR
GWAS Catalog: GCST011049
Europe PMC: 33398198
7,953 individualsHispanic or Latin AmericanNR
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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.

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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
PPM015507PSS009969|
Hispanic or Latin American Ancestry|
81,109 individuals
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Reported Trait: Prostate cancerOR: 1.5 [1.46, 1.53]——age, 10 genetic PCs—
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Evaluated Samples

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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
PSS009969—81,109 individuals,
100.0 % Male samples
Median = 61.0 yearsHispanic or Latin American—NR—
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