Predicted Trait | |
Reported Trait | Non melanoma skin cancer |
Mapped Trait(s) | non-melanoma skin carcinoma (EFO_0009260) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/cancer1060 |
Score Construction | |
PGS Name | GBE_cancer1060 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,610 |
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: 50% African: 16.7% East Asian: 16.7% South Asian: 16.7% 6 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 |
---|---|---|---|---|---|---|---|---|
PPM007958 | PSS007651| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Non-melanoma skin cancer | — | AUROC: 0.80478 [0.72556, 0.884] | R²: 0.07029 Incremental AUROC (full-covars): -0.00066 PGS R2 (no covariates): 0.00133 PGS AUROC (no covariates): 0.54127 [0.39017, 0.69237] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007959 | PSS007652| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Non-melanoma skin cancer | — | AUROC: 0.86455 [0.80574, 0.92335] | R²: 0.12918 Incremental AUROC (full-covars): -0.00442 PGS R2 (no covariates): 0.00152 PGS AUROC (no covariates): 0.4523 [0.1694, 0.73519] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007960 | PSS007653| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Non-melanoma skin cancer | — | AUROC: 0.73342 [0.72065, 0.74619] | R²: 0.10751 Incremental AUROC (full-covars): 0.0378 PGS R2 (no covariates): 0.05185 PGS AUROC (no covariates): 0.66327 [0.64889, 0.67765] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007961 | PSS007654| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Non-melanoma skin cancer | — | AUROC: 0.76366 [0.66832, 0.85901] | R²: 0.06447 Incremental AUROC (full-covars): -0.00934 PGS R2 (no covariates): 0.00078 PGS AUROC (no covariates): 0.47181 [0.35611, 0.58752] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007962 | PSS007655| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Non-melanoma skin cancer | — | AUROC: 0.70656 [0.69863, 0.7145] | R²: 0.08615 Incremental AUROC (full-covars): 0.04717 PGS R2 (no covariates): 0.03949 PGS AUROC (no covariates): 0.64209 [0.6334, 0.65078] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM018463 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Ease sunburn | β: 0.08836 | — | R²: 0.01475 | — | — |
PPM018465 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Fitzpatrick scale | β: -0.0689 | — | R²: 0.03786 | — | — |
PPM018459 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Eye colour | β: -0.11302 | — | R²: 0.0106 | — | — |
PPM018460 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Skin colour | β: -0.05462 | — | R²: 0.01757 | — | — |
PPM018461 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Freckles | β: 0.09955 | — | R²: 0.02643 | — | — |
PPM018462 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Ease suntan | β: -0.06804 | — | R²: 0.01892 | — | — |
PPM018464 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Phototype score | β: -1.51455 | — | R²: 0.04441 | — | — |
PPM018466 | PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Blond hair | β: 1.14835 | — | pseudo R²: 0.01006 | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS007651 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS007652 | — | — | [
|
— | East Asian | — | UKB | — |
PSS007653 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS007654 | — | — | [
|
— | South Asian | — | UKB | — |
PSS007655 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS010980 | — | — | 4,797 individuals | — | European | — | NR | GCAT |