| Predicted Trait | |
| Reported Trait | Vascular dementia (time-to-event) |
| Mapped Trait(s) | vascular dementia (EFO_0004718) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC711 |
| Score Construction | |
| PGS Name | GBE_HC711 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 7 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM008585 | PSS004618| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.89609 [0.78011, 1.0] | R²: 0.23133 Incremental AUROC (full-covars): -0.00271 PGS R2 (no covariates): 0.00098 PGS AUROC (no covariates): 0.45314 [0.26337, 0.6429] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008586 | PSS004619| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.86436 [0.80883, 0.91989] | R²: 0.14328 Incremental AUROC (full-covars): 0.00289 PGS R2 (no covariates): 0.00776 PGS AUROC (no covariates): 0.59245 [0.49395, 0.69095] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008587 | PSS004620| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.83842 [0.72824, 0.9486] | R²: 0.14604 Incremental AUROC (full-covars): 0.00843 PGS R2 (no covariates): 0.0135 PGS AUROC (no covariates): 0.61894 [0.47358, 0.76431] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008588 | PSS004621| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.82562 [0.78593, 0.86531] | R²: 0.10475 Incremental AUROC (full-covars): 0.00707 PGS R2 (no covariates): 0.01123 PGS AUROC (no covariates): 0.61306 [0.55366, 0.67245] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS004620 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004621 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004618 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004619 | — | — | [
|
— | European | non-white British ancestry | UKB | — |