| Publication Information (EuropePMC) | |
| Title | CanRisk-Prostate: A Comprehensive, Externally Validated Risk Model for the Prediction of Future Prostate Cancer. |
| PubMed ID | 36493335(Europe PMC) |
| doi | 10.1200/jco.22.01453 |
| Publication Date | Dec. 9, 2022 |
| Journal | J Clin Oncol |
| Author(s) | Nyberg T, Brook MN, Ficorella L, Lee A, Dennis J, Yang X, Wilcox N, Dadaev T, Govindasami K, Lush M,... Leslie G, Lophatananon A, Muir K, Bancroft E, Easton DF, Tischkowitz M, Kote-Jarai Z, Eeles R, Antoniou AC.Show more |
Polygenic Score ID & Name
|
PGS Publication ID (PGP)
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Reported Trait
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Mapped Trait(s) (Ontology)
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Number of Variants
|
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link)
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|---|---|---|---|---|---|---|
| PGS003415 (PGS268_PCa) | PGP000428 | Nyberg T et al. J Clin Oncol (2022) | Prostate cancer | prostate carcinoma | 268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003415/ScoringFiles/PGS003415.txt.gz |
PGS Performance Metric ID (PPM) |
Evaluated Score
|
PGS Sample Set ID (PSS) |
Performance Source
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Trait
|
PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
|
Covariates Included in the Model
|
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM017067 | PGS003415 (PGS268_PCa) | PSS010112| European Ancestry| 170,850 individuals | PGP000428 | Nyberg T et al. J Clin Oncol (2022) | Reported Trait: 5 years incident prostate cancer risk | — | C-index: 0.79 [0.783, 0.797] | — | — | — |
| PPM017068 | PGS003415 (PGS268_PCa) | PSS010112| European Ancestry| 170,850 individuals | PGP000428 | Nyberg T et al. J Clin Oncol (2022) | Reported Trait: 10 years incident prostate cancer risk | — | C-index: 0.772 [0.768, 0.777] | — | — | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods
|
Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
|
Cohort(s)
|
Additional Sample/Cohort Information
|
|---|---|---|---|---|---|---|---|---|
| PSS010112 | — | — | 170,850 individuals, 100.0 % Male samples | — | European | — | UKB | — |