Polygenic Score (PGS) ID: PGS004085

Predicted Trait
Reported Trait Prostate cancer
Mapped Trait(s) prostate carcinoma (EFO_0001663)
Released in PGS Catalog: Dec. 19, 2023
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Score Details

Score Construction
PGS Name prscs.auto.GCST006085.Prostate_cancer
Development Method
Name PRS-CS-auto
Parameters phi:auto
Variants
Original Genome Build GRCh38
Number of Variants 1,105,199
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000517
Citation (link to publication) Monti M R et al. medRxiv (2023) Preprint
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
140,254 individuals (100%)
Score Development/Training
European: 100%
9,671 individuals (100%)
PGS Evaluation
European: 66.7%
South Asian: 33.3%
6 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST006085
Europe PMC: 29892016
 140,254 individuals European NR
Score Development/Training
Study Identifiers Sample Numbers Sample Ancestry Cohort(s) Phenotype Definitions & Methods Age of Study Participants Participant Follow-up Time Additional Ancestry Description Additional Sample/Cohort Information
— 9,671 individuals,
100.0 % Male samples
 European UKB — — — — —

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) 		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
PPM019569 PSS011221|
European Ancestry|
68,516 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Prostate cancer OR: 1.80595
β: 0.59109		 AUROC: 0.66 — 0 beta = log(or)/sd_pgs
PPM019570 PSS011232|
European Ancestry|
171,474 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Prostate cancer OR: 2.05454
β: 0.72005		 AUROC: 0.69 — 0 beta = log(or)/sd_pgs
PPM019571 PSS011245|
South Asian Ancestry|
19,738 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Prostate cancer OR: 2.12708
β: 0.75475		 AUROC: 0.71 — 0 beta = log(or)/sd_pgs
PPM019572 PSS011261|
European Ancestry|
31,410 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Prostate cancer OR: 1.87036
β: 0.62613		 AUROC: 0.67 — 0 beta = log(or)/sd_pgs
PPM019573 PSS011289|
South Asian Ancestry|
4,976 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Prostate cancer OR: 2.10264
β: 0.74319		 AUROC: 0.7 — 0 beta = log(or)/sd_pgs
PPM019574 PSS011274|
European Ancestry|
41,305 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Prostate cancer OR: 1.9751
β: 0.68062		 AUROC: 0.68 — 0 beta = log(or)/sd_pgs

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
PSS011274 — —
[
  • 2,417 cases
  • , 38,888 controls
]
,
100.0 % Male samples
 — European — UKB —
PSS011245 — —
[
  • 95 cases
  • , 19,643 controls
]
,
100.0 % Male samples
 — South Asian — G&H —
PSS011221 — —
[
  • 2,227 cases
  • , 66,289 controls
]
,
100.0 % Male samples
 — European — EB —
PSS011289 — —
[
  • 110 cases
  • , 4,866 controls
]
,
100.0 % Male samples
 — South Asian — UKB —
PSS011261 — —
[
  • 2,242 cases
  • , 29,168 controls
]
,
100.0 % Male samples
 — European — HUNT —
PSS011232 C3_PROSTATE, ICD10: C61, ICD9: 185 —
[
  • 13,606 cases
  • , 157,868 controls
]
,
100.0 % Male samples
 — European — FinnGen —