Predicted Trait | |
Reported Trait | Gallstones |
Mapped Trait(s) | gallstones (EFO_0004210) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC188 |
Score Construction | |
PGS Name | GBE_HC188 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 876 |
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 |
---|---|---|---|---|---|---|---|---|
PPM008785 | PSS004334| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.68692 [0.64329, 0.73056] | R²: 0.04974 Incremental AUROC (full-covars): 0.02029 PGS R2 (no covariates): 0.00785 PGS AUROC (no covariates): 0.56814 [0.51821, 0.61807] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008786 | PSS004335| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.67793 [0.60585, 0.75001] | R²: 0.06195 Incremental AUROC (full-covars): 0.00834 PGS R2 (no covariates): 0.00064 PGS AUROC (no covariates): 0.52583 [0.44852, 0.60314] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008787 | PSS004336| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.66809 [0.65163, 0.68454] | R²: 0.05165 Incremental AUROC (full-covars): 0.04397 PGS R2 (no covariates): 0.0275 PGS AUROC (no covariates): 0.62496 [0.60759, 0.64234] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008788 | PSS004337| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.68743 [0.65645, 0.71841] | R²: 0.0581 Incremental AUROC (full-covars): 0.01295 PGS R2 (no covariates): 0.00775 PGS AUROC (no covariates): 0.56733 [0.53369, 0.60096] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008789 | PSS004338| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.67227 [0.66315, 0.68138] | R²: 0.05484 Incremental AUROC (full-covars): 0.04156 PGS R2 (no covariates): 0.02494 PGS AUROC (no covariates): 0.6171 [0.6073, 0.6269] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004334 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004335 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004336 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004337 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004338 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |