Predicted Trait | |
Reported Trait | Sarcoidosis |
Mapped Trait(s) | sarcoidosis (MONDO_0019338) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC170 |
Score Construction | |
PGS Name | GBE_HC170 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 12 |
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: 25% South Asian: 25% 4 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 |
---|---|---|---|---|---|---|---|---|
PPM007440 | PSS004322| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.70759 [0.63998, 0.7752] | PGS R2 (no covariates): 0.02057 R²: 0.05219 Incremental AUROC (full-covars): 0.03111 PGS AUROC (no covariates): 0.64298 [0.57429, 0.71167] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007441 | PSS004323| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.67662 [0.6145, 0.73874] | R²: 0.03062 Incremental AUROC (full-covars): 0.02209 PGS R2 (no covariates): 0.00799 PGS AUROC (no covariates): 0.60582 [0.54774, 0.66391] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007442 | PSS004324| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.66108 [0.58927, 0.7329] | R²: 0.03112 Incremental AUROC (full-covars): 0.00713 PGS R2 (no covariates): 0.00089 PGS AUROC (no covariates): 0.52621 [0.44905, 0.60338] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007443 | PSS004325| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.6486 [0.60932, 0.68789] | R²: 0.01916 Incremental AUROC (full-covars): 0.09187 PGS R2 (no covariates): 0.01741 PGS AUROC (no covariates): 0.64282 [0.60353, 0.68211] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004324 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004325 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004322 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004323 | — | — | [
|
— | European | non-white British ancestry | UKB | — |