| Predicted Trait | |
| Reported Trait | Intestinal malabsorption (time-to-event) |
| Mapped Trait(s) | Malabsorption (HP_0002024) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC1132 |
| Score Construction | |
| PGS Name | GBE_HC1132 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 443 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM007527 | PSS004149| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE intestinal malabsorption | — | AUROC: 0.77831 [0.68833, 0.86829] | R²: 0.08733 Incremental AUROC (full-covars): 0.1198 PGS R2 (no covariates): 0.02978 PGS AUROC (no covariates): 0.67977 [0.56558, 0.79395] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007528 | PSS004150| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE intestinal malabsorption | — | AUROC: 0.77961 [0.74665, 0.81258] | R²: 0.11095 Incremental AUROC (full-covars): 0.13283 PGS R2 (no covariates): 0.09823 PGS AUROC (no covariates): 0.76402 [0.72932, 0.79873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007529 | PSS004151| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE intestinal malabsorption | — | AUROC: 0.72065 [0.63105, 0.81026] | R²: 0.05999 Incremental AUROC (full-covars): 0.05026 PGS R2 (no covariates): 0.04035 PGS AUROC (no covariates): 0.66531 [0.56469, 0.76593] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007530 | PSS004152| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE intestinal malabsorption | — | AUROC: 0.75898 [0.73729, 0.78067] | R²: 0.08993 Incremental AUROC (full-covars): 0.18915 PGS R2 (no covariates): 0.08413 PGS AUROC (no covariates): 0.75085 [0.7286, 0.77309] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS004149 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004150 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004151 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004152 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |