Predicted Trait | |
Reported Trait | Skin cancer |
Mapped Trait(s) | skin carcinoma (EFO_0009259) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/cancer1003 |
Score Construction | |
PGS Name | GBE_cancer1003 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,298 |
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% 269,704 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 |
---|---|---|---|---|---|---|---|---|
— | [
|
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 |
---|---|---|---|---|---|---|---|---|
PPM007963 | PSS007621| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Skin cancer | — | AUROC: 0.78777 [0.7126, 0.86293] | R²: 0.06151 Incremental AUROC (full-covars): 0.00386 PGS R2 (no covariates): 0.00103 PGS AUROC (no covariates): 0.5229 [0.37426, 0.67153] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007964 | PSS007622| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Skin cancer | — | AUROC: 0.83061 [0.75233, 0.9089] | R²: 0.10839 Incremental AUROC (full-covars): 0.0017 PGS R2 (no covariates): 0.00376 PGS AUROC (no covariates): 0.56985 [0.36492, 0.77477] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007965 | PSS007623| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Skin cancer | — | AUROC: 0.71667 [0.70431, 0.72902] | R²: 0.09613 Incremental AUROC (full-covars): 0.03439 PGS R2 (no covariates): 0.04566 PGS AUROC (no covariates): 0.65086 [0.63722, 0.6645] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007966 | PSS007624| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Skin cancer | — | AUROC: 0.76232 [0.67332, 0.85131] | R²: 0.07091 Incremental AUROC (full-covars): -0.01012 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.49291 [0.37897, 0.60686] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007967 | PSS007625| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Skin cancer | — | AUROC: 0.6935 [0.68584, 0.70116] | R²: 0.07834 Incremental AUROC (full-covars): 0.04393 PGS R2 (no covariates): 0.03573 PGS AUROC (no covariates): 0.63289 [0.62459, 0.64118] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
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 |
---|---|---|---|---|---|---|---|---|
PSS007621 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS007622 | — | — | [
|
— | East Asian | — | UKB | — |
PSS007623 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS007624 | — | — | [
|
— | South Asian | — | UKB | — |
PSS007625 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |