Predicted Trait | |
Reported Trait | Prostate cancer |
Mapped Trait(s) | prostate carcinoma (EFO_0001663) |
Score Construction | |
PGS Name | PRS_PrCa_EuropeanWeighted |
Development Method | |
Name | Known prostate cancer risk alleles |
Parameters | p < 5e-2, MAF ≥ 0.001, r^2 ≥ 0.3 |
Variants | |
Original Genome Build | NR |
Number of Variants | 178 |
Effect Weight Type | log(OR) |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000156 |
Citation (link to publication) | Du Z et al. Int J Cancer (2019) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 93.5% African: 4.8% East Asian: 1.7% 436,934 individuals (100%) |
PGS Evaluation | Hispanic or Latin American: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST006085 Europe PMC: 29892016 |
140,254 individuals | European | 48 cohorts
|
Europe PMC: 29892050 |
[ ,
100.0 % Male samples |
European | 7 cohorts
|
GWAS Catalog: GCST004982 Europe PMC: 29117387 |
8,298 individuals | African unspecified, African American or Afro-Caribbean | 30 cohorts
|
GWAS Catalog: GCST004982 Europe PMC: 29117387 |
932 individuals | Sub-Saharan African | 30 cohorts
|
GWAS Catalog: GCST004982 Europe PMC: 29117387 |
11,782 individuals | African American or Afro-Caribbean | 30 cohorts
|
GWAS Catalog: GCST003148 Europe PMC: 26443449 |
7,394 individuals | East Asian | BBJ, O-MRC |
Europe PMC: 30397198 |
[ ,
100.0 % Male samples |
European | ELLIPSE, PRACTICAL, iCOGS |
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 |
---|---|---|---|---|---|---|---|---|
PPM001907 | PSS000953| Hispanic or Latin American Ancestry| 4,324 individuals |
PGP000156 | Du Z et al. Int J Cancer (2019) |
Reported Trait: Prostate cancer | — | — | Odds ratio (OR, top 10% vs. middle 50%): 3.1 [2.55, 3.76] | Age, study, PCs(1-10) | Only 176 variants of the original 181 variants were utilised as 5 variants did not meet a MAF ≥ 0.001 and imputation r^2 ≥ 0.3 in Latino men. |
PPM001908 | PSS000953| Hispanic or Latin American Ancestry| 4,324 individuals |
PGP000156 | Du Z et al. Int J Cancer (2019) |
Reported Trait: Prostate cancer | — | — | Odds ratio (OR, top 1% vs. middle 50%): 4.02 [2.46, 6.55] | Age, study, PCs(1-10) | Only 176 variants of the original 181 variants were utilised as 5 variants did not meet a MAF ≥ 0.001 and imputation r^2 ≥ 0.3 in Latino men. |
PPM001909 | PSS000953| Hispanic or Latin American Ancestry| 4,324 individuals |
PGP000156 | Du Z et al. Int J Cancer (2019) |
Reported Trait: Prostate cancer | — | — | Odds ratio (OR, bottom 10% vs. middle 50%): 0.38 [0.28, 0.51] | Age, study, PCs(1-10) | Only 176 variants of the original 181 variants were utilised as 5 variants did not meet a MAF ≥ 0.001 and imputation r^2 ≥ 0.3 in Latino men. |
PPM001910 | PSS000953| Hispanic or Latin American Ancestry| 4,324 individuals |
PGP000156 | Du Z et al. Int J Cancer (2019) |
Reported Trait: Prostate cancer | — | — | Odds ratio (OR, bottom 1% vs. middle 50%): 0.25 [0.09, 0.67] | Age, study, PCs(1-10) | Only 176 variants of the original 181 variants were utilised as 5 variants did not meet a MAF ≥ 0.001 and imputation r^2 ≥ 0.3 in Latino men. |
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 |
---|---|---|---|---|---|---|---|---|
PSS000953 | In set 1 (1034 cases), prostate cancer cases were identified by linking with the cancer registries in Hawaii and California. In set 2 (1192 cases) cases were indiviuals with prostate cancer determined by cancer diagnosis, enrollment in prostate cancer studies at University of Texas M.D. Ancerson Cancer Centre or by biposy confirmation. | — | [ ,
100.0 % Male samples |
— | Hispanic or Latin American | — | LAAPC, MDA, MEC, SABOR | — |