Predicted Trait | |
Reported Trait | Prostate cancer |
Mapped Trait(s) | prostate carcinoma (EFO_0001663) |
Score Construction | |
PGS Name | PHS46+African |
Development Method | |
Name | 46 variants from Seibert et al (PGS000067). Effect weights from Huynh-Le et al (DOI: 10.1101/19012237) |
Parameters | Multivariable logistic regression adjusting for PHS46 and 4PCs used to determine additional SNPs. p<1e-6 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 49 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000139 |
Citation (link to publication) | Karunamuni RA et al. Int J Cancer (2020) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
Europe PMC: 29321194 |
[ ,
100.0 % Male samples |
European | 19 cohorts
|
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 |
African unspecified | 18 cohorts
|
Clinically significant cancer were any of: Gleason score ≥ 7, stage T3-T4, PSA concentration ≥ 10 ng/mL, pelvic lymph nodal metastasis or distant metastasis. | — | — | — | PRACTICAL consortium |
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 |
---|---|---|---|---|---|---|---|---|
PPM001674 | PSS000874| African Ancestry| 6,271 individuals |
PGP000139 | Karunamuni RA et al. Int J Cancer (2020) |
Reported Trait: Age at diagnosis of any prostate cancer | — | — | Hazard Ratio (HR top 20% vs. bottom 20%): 4.42 [4.16, 4.67] | — | Overlap between score development and testing samples for 3 new SNPs - 10-fold cross-validation |
PPM001676 | PSS000874| African Ancestry| 6,271 individuals |
PGP000139 | Karunamuni RA et al. Int J Cancer (2020) |
Reported Trait: Age at diagnosis of any prostate cancer | — | — | Hazard Ratio (HR top 2% vs. middle 40%): 3.67 [3.48, 3.87] | — | Overlap between score development and testing samples for 3 new SNPs - 10-fold cross-validation |
PPM001678 | PSS000874| African Ancestry| 6,271 individuals |
PGP000139 | Karunamuni RA et al. Int J Cancer (2020) |
Reported Trait: Age at diagnosis of any prostate cancer | — | — | Hazard Ratio (HR bottom 20% vs. middle 40%): 0.51 [0.49, 0.52] | — | Overlap between score development and testing samples for 3 new SNPs - 10-fold cross-validation |
PPM001680 | PSS000874| African Ancestry| 6,271 individuals |
PGP000139 | Karunamuni RA et al. Int J Cancer (2020) |
Reported Trait: Age at diagnosis of clinically significant prostate cancer | — | — | Hazard Ratio (top 20% vs. bottom 20%): 4.71 [4.38, 5.05] | — | Overlap between score development and testing samples for 3 new SNPs - 10-fold cross-validation |
PPM001682 | PSS000874| African Ancestry| 6,271 individuals |
PGP000139 | Karunamuni RA et al. Int J Cancer (2020) |
Reported Trait: Age at diagnosis of clinically significant prostate cancer | — | — | Hazard Ratio (top 2% vs. middle 40%): 3.89 [3.64, 4.13] | — | Overlap between score development and testing samples for 3 new SNPs - 10-fold cross-validation |
PPM001684 | PSS000874| African Ancestry| 6,271 individuals |
PGP000139 | Karunamuni RA et al. Int J Cancer (2020) |
Reported Trait: Age at diagnosis of clinically significant prostate cancer | — | — | Hazard Ratio (bottom 20% vs. middle 40%): 0.5 [0.48, 0.52] | — | Overlap between score development and testing samples for 3 new SNPs - 10-fold cross-validation |
PPM015483 | PSS009959| African Ancestry| 2,631 individuals |
PGP000373 | Kim MS et al. Genome Biol (2022) |Ext. |
Reported Trait: Prostate cancer | OR: 1.58 [1.2, 2.11] | AUROC: 0.547 [0.525, 0.569] | — | — | — |
PPM015488 | PSS009959| African Ancestry| 2,631 individuals |
PGP000373 | Kim MS et al. Genome Biol (2022) |Ext. |
Reported Trait: Aggressive prostate cancer (tumor stage T4) | OR: 0.96 [0.78, 1.17] | AUROC: 0.568 [0.494, 0.631] | — | — | — |
PPM015489 | PSS009959| African Ancestry| 2,631 individuals |
PGP000373 | Kim MS et al. Genome Biol (2022) |Ext. |
Reported Trait: Aggressive prostate cancer (Gleason score >=8) | OR: 1.18 [1.07, 1.13] | AUROC: 0.515 [0.479, 0.55] | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS000874 | Clinically significant cancer were any of: Gleason score ≥ 7, stage T3-T4, PSA concentration ≥ 10 ng/mL, pelvic lymph nodal metastasis or distant metastasis. | — | [ ,
100.0 % Male samples |
— | African unspecified | — | 18 cohorts
|
PRACTICAL consortium |
PSS009959 | — | — | [
|
— | African unspecified | — | MADCaP | — |