PGS Publication: PGP000371

Publication Information (EuropePMC)
Title Application of European-specific polygenic risk scores for predicting prostate cancer risk in different ancestry populations.
PubMed ID 35996327(Europe PMC)
doi 10.1002/pros.24431
Publication Date Aug. 22, 2022
Journal Prostate
Author(s) Ruan X, Huang D, Huang J, Xu D, Na R.
Released in PGS Catalog: Sept. 29, 2022

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:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

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Polygenic Score ID & Name
PGS Publication ID (PGP)
Reported Trait
Mapped Trait(s) (Ontology)
Number of Variants
Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS002791
(PRS126_Pca)
PGP000371 |
Ruan X et al. Prostate (2022)
Prostate cancerprostate carcinoma126
G
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002791/ScoringFiles/PGS002791.txt.gz
PGS002792
(PRS67_Pca)
PGP000371 |
Ruan X et al. Prostate (2022)
Prostate cancerprostate carcinoma67
G
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002792/ScoringFiles/PGS002792.txt.gz
PGS002793
(PRS84_Pca)
PGP000371 |
Ruan X et al. Prostate (2022)
Prostate cancerprostate carcinoma82
G
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002793/ScoringFiles/PGS002793.txt.gz
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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)
Evaluated Score
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
PPM015448PGS002791
(PRS126_Pca)
PSS009957|
European Ancestry|
104,586 individuals
PGP000371 |
Ruan X et al. Prostate (2022)
Reported Trait: Prostate cancer riskOdds Ratio (OR, top vs average percentile): 3.79 [3.46, 4.16]disease diagnostic age or age at recruitment, subgroups and 10 principal components
PPM015449PGS002792
(PRS67_Pca)
PSS009955|
African Ancestry|
3,008 individuals
PGP000371 |
Ruan X et al. Prostate (2022)
Reported Trait: Prostate cancer riskOdds Ratio (OR, top vs average percentile): 1.77 [1.22, 2.58]disease diagnostic age or age at recruitment, subgroups and 10 principal components
PPM015450PGS002793
(PRS84_Pca)
PSS009956|
East Asian Ancestry|
1,190 individuals
PGP000371 |
Ruan X et al. Prostate (2022)
Reported Trait: Prostate cancer riskOdds Ratio (OR, top vs average percentile): 2.87 [1.29, 6.4]disease diagnostic age or age at recruitment, subgroups and 10 principal components
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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
PSS0099553,008 individualsAfrican American or Afro-Caribbean
(African American)
AAPC
PSS0099561,190 individualsEast Asian
(Chinese)
NRChinaPCa
PSS009957104,586 individualsEuropeanUKB
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