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(Variants and weights)

Polygenic Score (PGS) ID: PGS000030

Predicted Trait

Reported Trait: Prostate cancer
Mapped Trait(s) (Experimental Factor Ontology (EFO) IDs): prostate carcinoma

Score Details

Name: PrCa

Original Genome Build: NR
Number of Variants: 147

PGS Development Method: Genome-wide significant SNPs
PGS Development Details/Relevant Parameters:

Citation: Schumacher FR et al. Nat Genet (2018) | PGS Catalog Publication ID: PGP000019

Contributing Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry
GWAS Catalog: GCST006085
PubMed: 29892016
140,254 individuals European

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 (PPM) ID PGS Catalog Sample Set (PSS) ID Performance Source Trait PGS Effect Sizes
(per SD change)
PGS Classification Metrics Other Metrics Covariates Included in PGS Model PGS Performance: Other Relevant Information
PPM000061 PSS000041 Schumacher FR et al. (2018) Reported Trait: Prostate cancer OR: 1.86 [1.83 - 1.89] Top 7 Genetic PCs, country Samples were also part of the variant association

Evaluated Samples

PGS Catalog Sample Set (PSS) ID Detailed Phenotype Description (e.g. ICD/SNOMED codes used to identify cases) Sample Numbers Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000041 For each cohort core data on disease status, age at diagnosis (age at observation or questionnaire for controls), family history of PrCa, and clinical factors for cases (for example, PSA at diagnosis and Gleason score) was extracted 74,849 individuals
[ 46,939 cases, 27,910 controls]
European APCB, CPS, CONOR, COSM, CPCS, ESTHER, ERSPC, EPIC, FHCRC, Gene-PARE, PROFILE, HZ, HPFS, IPO-Porto, IMPACT, Leuven, LAAPC, MDACCS, MCCS, MOFFITT_PC, MCC-Spain, MEC, PROCAP, PRAGGA, PHS, Poland, SWOG-PCPT, PCMUS, PROGReSS_PrCa, ProtecT, ProMPT, PLCO, RAPPER, QLD, SFPCS, SWOG-SELECT, SNP_Prostate_Ghent, SPAG, STHM2, SEARCH, TAMPERE, UKGPCS, TOR These samples (OncoArray) were also used in the GWAS meta-analysis