PGS Publication: PGP000380

Publication Information (EuropePMC)
Title Association of Prostate-Specific Antigen Levels with Prostate Cancer Risk in a Multiethnic Population: Stability over Time and Comparison with Polygenic Risk Score.
PubMed ID 36126957(Europe PMC)
doi 10.1158/1055-9965.epi-22-0443
Publication Date Sept. 20, 2022
Journal Cancer Epidemiol Biomarkers Prev
Author(s) Chou A, Darst BF, Wilkens LR, Le Marchand L, Lilja H, Conti DV, Haiman CA.
Released in PGS Catalog: Oct. 19, 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

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)
PGS000662
(GRS.PCa.269)
PGP000122 |
Conti DV et al. Nat Genet (2021)
Prostate cancer prostate carcinoma 269
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000662/ScoringFiles/PGS000662.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
PPM015510 PGS000662
(GRS.PCa.269)
PSS009970|
Multi-ancestry (including European)|
4,448 individuals
PGP000380 |
Chou A et al. Cancer Epidemiol Biomarkers Prev (2022)
|Ext.
Reported Trait: Prostate cancer risk in 10 years OR: 2.12 [1.55, 2.93]
PPM015511 PGS000662
(GRS.PCa.269)
PSS009970|
Multi-ancestry (including European)|
4,448 individuals
PGP000380 |
Chou A et al. Cancer Epidemiol Biomarkers Prev (2022)
|Ext.
Reported Trait: Total prostate cancer risk in 10 years AUROC: 0.932 [0.918, 0.947]
PPM015512 PGS000662
(GRS.PCa.269)
PSS009970|
Multi-ancestry (including European)|
4,448 individuals
PGP000380 |
Chou A et al. Cancer Epidemiol Biomarkers Prev (2022)
|Ext.
Reported Trait: Gleason <=7 prostate cancer risk in 10 years AUROC: 0.943 [0.928, 0.959]
PPM015513 PGS000662
(GRS.PCa.269)
PSS009970|
Multi-ancestry (including European)|
4,448 individuals
PGP000380 |
Chou A et al. Cancer Epidemiol Biomarkers Prev (2022)
|Ext.
Reported Trait: Gleason >=8 prostate cancer risk in 10 years AUROC: 0.942 [0.919, 0.964]
PPM015514 PGS000662
(GRS.PCa.269)
PSS009970|
Multi-ancestry (including European)|
4,448 individuals
PGP000380 |
Chou A et al. Cancer Epidemiol Biomarkers Prev (2022)
|Ext.
Reported Trait: Localized prostate cancer risk in 10 years AUROC: 0.936 [0.918, 0.953]
PPM015515 PGS000662
(GRS.PCa.269)
PSS009970|
Multi-ancestry (including European)|
4,448 individuals
PGP000380 |
Chou A et al. Cancer Epidemiol Biomarkers Prev (2022)
|Ext.
Reported Trait: Non-localized prostate cancer risk in 10 years AUROC: 0.948 [0.922, 0.974]
PPM015516 PGS000662
(GRS.PCa.269)
PSS009970|
Multi-ancestry (including European)|
4,448 individuals
PGP000380 |
Chou A et al. Cancer Epidemiol Biomarkers Prev (2022)
|Ext.
Reported Trait: Lethal prostate cancer risk in 10 years AUROC: 0.961 [0.941, 0.982]

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
PSS009970
[
  • 432 cases
  • , 422 controls
]
,
100.0 % Male samples
European MEC
PSS009970
[
  • 476 cases
  • , 456 controls
]
,
100.0 % Male samples
African American or Afro-Caribbean
(African American)
MEC
PSS009970
[
  • 138 cases
  • , 139 controls
]
,
100.0 % Male samples
Native American
(Native Hawaiian)
MEC
PSS009970
[
  • 757 cases
  • , 748 controls
]
,
100.0 % Male samples
East Asian
(Japanese)
MEC
PSS009970
[
  • 442 cases
  • , 438 controls
]
,
100.0 % Male samples
Hispanic or Latin American
(Latino)
MEC