Predicted Trait | |
Reported Trait | Number of self reported cancers |
Mapped Trait(s) | number of cancers, self-reported (EFO_0009800) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI134 |
Score Construction | |
PGS Name | GBE_INI134 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 526 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000244 |
Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 269,672 individuals (100%) |
PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets |
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 |
---|---|---|---|---|---|---|---|---|
— | 269,672 individuals | European | UKB | — | — | — | white British ancestry | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM007788 | PSS004826| African Ancestry| 6,483 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of self-reported cancers | — | — | R²: 0.01182 [0.00659, 0.01704] Incremental R2 (full-covars): -0.00015 PGS R2 (no covariates): 0.00029 [-0.00054, 0.00112] |
age, sex, UKB array type, Genotype PCs | — |
PPM007789 | PSS004827| East Asian Ancestry| 1,702 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of self-reported cancers | — | — | R²: 0.02753 [0.01224, 0.04282] Incremental R2 (full-covars): -0.00083 PGS R2 (no covariates): 0.00016 [-0.00104, 0.00136] |
age, sex, UKB array type, Genotype PCs | — |
PPM007790 | PSS004828| European Ancestry| 24,894 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of self-reported cancers | — | — | R²: 0.02065 [0.01715, 0.02414] Incremental R2 (full-covars): 0.00068 PGS R2 (no covariates): 0.00081 [0.00011, 0.00152] |
age, sex, UKB array type, Genotype PCs | — |
PPM007791 | PSS004829| South Asian Ancestry| 7,812 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of self-reported cancers | — | — | R²: 0.00918 [0.00497, 0.01338] Incremental R2 (full-covars): -0.00087 PGS R2 (no covariates): 0.00012 [-0.00037, 0.00062] |
age, sex, UKB array type, Genotype PCs | — |
PPM007792 | PSS004830| European Ancestry| 67,419 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of self-reported cancers | — | — | R²: 0.01676 [0.01484, 0.01868] Incremental R2 (full-covars): 0.00083 PGS R2 (no covariates): 0.00079 [0.00036, 0.00121] |
age, sex, UKB array type, Genotype PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS004828 | — | — | 24,894 individuals | — | European | non-white British ancestry | UKB | — |
PSS004829 | — | — | 7,812 individuals | — | South Asian | — | UKB | — |
PSS004830 | — | — | 67,419 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004826 | — | — | 6,483 individuals | — | African unspecified | — | UKB | — |
PSS004827 | — | — | 1,702 individuals | — | East Asian | — | UKB | — |