Predicted Trait | |
Reported Trait | Psoriasis |
Mapped Trait(s) | psoriasis (EFO_0000676) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC38 |
Score Construction | |
PGS Name | GBE_HC38 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 204 |
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 |
---|---|---|---|---|---|---|---|---|
PPM009053 | PSS004471| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.73107 [0.60624, 0.85591] | R²: 0.06593 Incremental AUROC (full-covars): 0.0282 PGS R2 (no covariates): 0.01927 PGS AUROC (no covariates): 0.62557 [0.48848, 0.76266] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009054 | PSS004472| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.88867 [0.80531, 0.97202] | R²: 0.24575 Incremental AUROC (full-covars): 0.01187 PGS R2 (no covariates): 0.00399 PGS AUROC (no covariates): 0.57774 [0.40533, 0.75016] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009055 | PSS004473| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.68424 [0.65757, 0.71091] | R²: 0.05057 Incremental AUROC (full-covars): 0.0981 PGS R2 (no covariates): 0.04137 PGS AUROC (no covariates): 0.66409 [0.63596, 0.69222] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009056 | PSS004474| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.6849 [0.63397, 0.73584] | R²: 0.0448 Incremental AUROC (full-covars): 0.052 PGS R2 (no covariates): 0.02087 PGS AUROC (no covariates): 0.64825 [0.59861, 0.6979] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009057 | PSS004475| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.69754 [0.68165, 0.71343] | R²: 0.05574 Incremental AUROC (full-covars): 0.14505 PGS R2 (no covariates): 0.05226 PGS AUROC (no covariates): 0.69158 [0.6754, 0.70775] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004471 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004472 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004473 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004474 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004475 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |