Predicted Trait | |
Reported Trait | Prostate cancer |
Mapped Trait(s) | prostate carcinoma (EFO_0001663) |
Score Construction | |
PGS Name | prostate_cancer |
Development Method | |
Name | SDPR |
Parameters | NR |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 1,016,708 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000596 |
Citation (link to publication) | Hu J et al. JNCI Cancer Spectr (2024) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
Europe PMC: 29892016 |
[ ,
100.0 % Male samples |
European | NR |
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 |
---|---|---|---|---|---|---|---|---|
— | [ ,
100.0 % Male samples |
European | UKB | — | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM020879 | PSS011438| European Ancestry| 18,514 individuals |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Reported Trait: Prostate cancer | — | AUROC: 0.6894 | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011438 | — | — | [ ,
100.0 % Male samples |
— | European | — | UKB | — |