| Predicted Trait | |
| Reported Trait | Unspecified dementia (time-to-event) | 
| Mapped Trait(s) | dementia (MONDO_0001627) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC713 | 
| Score Construction | |
| PGS Name | GBE_HC713 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 9 | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| PPM007555 | PSS004622| African Ancestry| 6,497 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: TTE unspecified dementia | — | AUROC: 0.82014 [0.73087, 0.90941] | R²: 0.13536 Incremental AUROC (full-covars): 0.02407 PGS R2 (no covariates): 0.01431 PGS AUROC (no covariates): 0.57071 [0.42666, 0.71476] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM007556 | PSS004624| European Ancestry| 24,905 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: TTE unspecified dementia | — | AUROC: 0.82275 [0.77979, 0.86571] | R²: 0.12092 Incremental AUROC (full-covars): 0.00342 PGS R2 (no covariates): 0.00838 PGS AUROC (no covariates): 0.57672 [0.50856, 0.64487] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM007557 | PSS004625| South Asian Ancestry| 7,831 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: TTE unspecified dementia | — | AUROC: 0.90804 [0.86257, 0.9535] | R²: 0.20027 Incremental AUROC (full-covars): 0.0061 PGS R2 (no covariates): 0.0151 PGS AUROC (no covariates): 0.56115 [0.41165, 0.71066] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM007558 | PSS004626| European Ancestry| 67,425 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: TTE unspecified dementia | — | AUROC: 0.83545 [0.80839, 0.8625] | R²: 0.11896 Incremental AUROC (full-covars): 0.02339 PGS R2 (no covariates): 0.02543 PGS AUROC (no covariates): 0.64149 [0.59989, 0.68308] | 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 | 
|---|---|---|---|---|---|---|---|---|
| PSS004622 | — | — | [ 
 | — | African unspecified | — | UKB | — | 
| PSS004624 | — | — | [ 
 | — | European | non-white British ancestry | UKB | — | 
| PSS004625 | — | — | [ 
 | — | South Asian | — | UKB | — | 
| PSS004626 | — | — | [ 
 | — | European | white British ancestry | UKB | Testing cohort (heldout set) |