Predicted Trait | |
Reported Trait | Cholecystitis |
Mapped Trait(s) | Cholecystitis (HP_0001082) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC225 |
Score Construction | |
PGS Name | GBE_HC225 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 391 |
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 |
---|---|---|---|---|---|---|---|---|
PPM007536 | PSS004364| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cholecystitis | — | AUROC: 0.68703 [0.64283, 0.73122] | R²: 0.05062 Incremental AUROC (full-covars): 0.01542 PGS R2 (no covariates): 0.00638 PGS AUROC (no covariates): 0.57182 [0.52186, 0.62177] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007537 | PSS004365| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cholecystitis | — | AUROC: 0.68844 [0.61497, 0.76192] | R²: 0.06303 Incremental AUROC (full-covars): 0.01478 PGS R2 (no covariates): 0.00267 PGS AUROC (no covariates): 0.53743 [0.45172, 0.62313] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007538 | PSS004366| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cholecystitis | — | AUROC: 0.64946 [0.63161, 0.6673] | R²: 0.03849 Incremental AUROC (full-covars): 0.03425 PGS R2 (no covariates): 0.01921 PGS AUROC (no covariates): 0.60901 [0.59053, 0.6275] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007539 | PSS004367| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cholecystitis | — | AUROC: 0.65729 [0.62309, 0.69148] | R²: 0.04114 Incremental AUROC (full-covars): 0.01289 PGS R2 (no covariates): 0.00646 PGS AUROC (no covariates): 0.56972 [0.5349, 0.60453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007540 | PSS004368| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cholecystitis | — | AUROC: 0.64339 [0.63352, 0.65325] | R²: 0.03651 Incremental AUROC (full-covars): 0.03273 PGS R2 (no covariates): 0.01602 PGS AUROC (no covariates): 0.59436 [0.5838, 0.60493] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004364 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004365 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004366 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004367 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004368 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |