| Predicted Trait | |
| Reported Trait | Bladder cancer |
| Mapped Trait(s) | urinary bladder carcinoma (MONDO_0004986) |
| Score Construction | |
| PGS Name | GRS18_BC |
| Development Method | |
| Name | Genome-wide significant SNPs |
| Parameters | NR |
| Variants | |
| Original Genome Build | NR |
| Number of Variants | 18 |
| Effect Weight Type | ln(OR) |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000404 |
| Citation (link to publication) | Teleka S et al. Sci Rep (2022) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 36,139 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
Europe PMC: 29732392 |
0 individuals | European | NR |
GWAS Catalog: GCST000231 Europe PMC: 18794855 |
36,139 individuals | European | NR |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM016166 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Urothelial carcinoma | HR: 1.27 [1.15, 1.4] | — | — | Smoking, BMI, education, and physical activity | — |
| PPM016167 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Non-aggressive urothelial carcinoma | HR: 1.34 [1.18, 1.52] | — | — | Smoking, BMI, education, and physical activity | — |
| PPM016168 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Aggressive urothelial carcinoma | HR: 1.19 [1.0, 1.42] | — | — | Smoking, BMI, education, and physical activity | — |
| PPM016169 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Urothelial carcinoma x systolic blood pressure interaction | HR: 1.55 [1.14, 2.1] | — | — | Smoking, BMI, physical activity and level of education | — |
| PPM016170 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Non-aggressive urothelial carcinoma x systolic blood pressure interaction | HR: 1.59 [1.07, 2.35] | — | — | Smoking, BMI, physical activity and level of education | — |
| PPM016171 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Aggressive urothelial carcinoma x systolic blood pressure interaction | HR: 1.72 [1.03, 2.87] | — | — | Smoking, BMI, physical activity and level of education | — |
| PPM016172 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Urothelial carcinoma x diastolic blood pressure interaction | HR: 1.45 [1.09, 1.92] | — | — | Smoking, BMI, physical activity and level of education | — |
| PPM016173 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Non-aggressive urothelial carcinoma x diastolic blood pressure interaction | HR: 1.54 [1.07, 2.22] | — | — | Smoking, BMI, physical activity and level of education | — |
| PPM016174 | PSS010054| European Ancestry| 10,576 individuals |
PGP000404 | Teleka S et al. Sci Rep (2022) |
Reported Trait: Aggressive urothelial carcinoma x diastolic blood pressure interaction | HR: 1.38 [0.82, 2.31] | — | — | Smoking, BMI, physical activity and level of education | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS010054 | — | — | [ ,
100.0 % Male samples |
Mean = 59.0 years | European | — | MDC | — |