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

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 cancer prostate carcinoma 126
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 cancer prostate carcinoma 67
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 cancer prostate carcinoma 82
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002793/ScoringFiles/PGS002793.txt.gz

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) 		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
PPM015448 PGS002791
(PRS126_Pca)
 PSS009957|
European Ancestry|
104,586 individuals
 PGP000371 |
Ruan X et al. Prostate (2022)
 Reported Trait: Prostate cancer risk — — Odds Ratio (OR, top vs average percentile): 3.79 [3.46, 4.16] disease diagnostic age or age at recruitment, subgroups and 10 principal components —
PPM015449 PGS002792
(PRS67_Pca)
 PSS009955|
African Ancestry|
3,008 individuals
 PGP000371 |
Ruan X et al. Prostate (2022)
 Reported Trait: Prostate cancer risk — — Odds Ratio (OR, top vs average percentile): 1.77 [1.22, 2.58] disease diagnostic age or age at recruitment, subgroups and 10 principal components —
PPM015450 PGS002793
(PRS84_Pca)
 PSS009956|
East Asian Ancestry|
1,190 individuals
 PGP000371 |
Ruan X et al. Prostate (2022)
 Reported Trait: Prostate cancer risk — — Odds Ratio (OR, top vs average percentile): 2.87 [1.29, 6.4] disease diagnostic age or age at recruitment, subgroups and 10 principal components —

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
PSS009955 — — 3,008 individuals — African American or Afro-Caribbean
(African American)		 — AAPC —
PSS009956 — — 1,190 individuals — East Asian
(Chinese)		 — NR ChinaPCa
PSS009957 — — 104,586 individuals — European — UKB —