PGS Publication: PGP000322

Publication Information (EuropePMC)
Title Prostate cancer polygenic risk score and prediction of lethal prostate cancer.
PubMed ID 35396534(Europe PMC)
doi 10.1038/s41698-022-00266-8
Publication Date April 8, 2022
Journal NPJ Precis Oncol
Author(s) Klein RJ, Vertosick E, Sjoberg D, Ulmert D, Rönn AC, Häggström C, Thysell E, Hallmans G, Dahlin A, Stattin P, Melander O, Vickers A, Lilja H.
Released in PGS Catalog: May 18, 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:
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Multi-ancestry (including European)
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African
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Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

External PGS Evaluated 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)
PGS000030
(PrCa)
 PGP000019 |
Schumacher FR et al. Nat Genet (2018)
 Prostate cancer prostate carcinoma 147
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000030/ScoringFiles/PGS000030.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
PPM013015 PGS000030
(PrCa)
 PSS009648|
European Ancestry|
991 individuals
 PGP000322 |
Klein RJ et al. NPJ Precis Oncol (2022)
|Ext.		 Reported Trait: Prostate cancer metastasis or death HR: 1.25 [1.1, 1.41] — — — —
PPM013016 PGS000030
(PrCa)
 PSS009649|
European Ancestry|
1,000 individuals
 PGP000322 |
Klein RJ et al. NPJ Precis Oncol (2022)
|Ext.		 Reported Trait: Prostate cancer metastasis or death HR: 1.65 — — — —
PPM013017 PGS000030
(PrCa)
 PSS009648|
European Ancestry|
991 individuals
 PGP000322 |
Klein RJ et al. NPJ Precis Oncol (2022)
|Ext.		 Reported Trait: Incident prostate cancer HR: 1.25 [1.11, 1.41] — — — —
PPM013018 PGS000030
(PrCa)
 PSS009649|
European Ancestry|
1,000 individuals
 PGP000322 |
Klein RJ et al. NPJ Precis Oncol (2022)
|Ext.		 Reported Trait: Incident prostate cancer HR: 1.69 — — — —
PPM013019 PGS000030
(PrCa)
 PSS009650|
European Ancestry|
1,991 individuals
 PGP000322 |
Klein RJ et al. NPJ Precis Oncol (2022)
|Ext.		 Reported Trait: Prostate cancer metastasis or death — AUROC: 0.63 — — —

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
PSS009648 — —
[
  • 240 cases
  • , 751 controls
]
,
100.0 % Male samples
 — European — MDC —
PSS009649 — —
[
  • 235 cases
  • , 765 controls
]
,
100.0 % Male samples
 — European — VIP —
PSS009650 — —
[
  • 475 cases
  • , 1,516 controls
]
,
100.0 % Male samples
 — European — NR —