Publication Information (EuropePMC) | |
Title | Development and validation of a simple prostate cancer risk prediction model based on age, family history, and polygenic risk. |
PubMed ID | 37062910(Europe PMC) |
doi | 10.1002/pros.24537 |
Publication Date | April 16, 2023 |
Journal | Prostate |
Author(s) | Dite GS, Spaeth E, Murphy NM, Allman R. |
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 |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM019114 | PGS000662 (GRS.PCa.269) |
PSS011185| European Ancestry| 189,338 individuals |
PGP000508 | Dite GS et al. Prostate (2023) |Ext. |
Reported Trait: Prostate cancer | — | — | Hazard Ratio (HR per change in transformed PRS): 5.846 [4.264, 8.013] | age, family history | Effect sized based on ln(PRS) |
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 |
---|---|---|---|---|---|---|---|---|
PSS011185 | — | — | [ ,
100.0 % Male samples |
Mean = 62.1 years Sd = 5.5 years |
European | — | UKB | — |