Predicted Trait | |
Reported Trait | Mean FA in fornix on FA skeleton |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25061 |
Score Construction | |
PGS Name | GBE_INI25061 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 836 |
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% 21,081 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 |
---|---|---|---|---|---|---|---|---|
— | 21,081 individuals | European | UKB | — | — | — | white British ancestry | Training + validation cohort (train_val) |
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 |
---|---|---|---|---|---|---|---|---|
PPM005515 | PSS005351| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.37524 [0.35663, 0.39384] Incremental R2 (full-covars): 0.01503 PGS R2 (no covariates): 0.01375 [0.00813, 0.01937] |
age, sex, UKB array type, Genotype PCs | — |
PPM005516 | PSS005352| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.33543 [0.29896, 0.37191] Incremental R2 (full-covars): -0.04533 PGS R2 (no covariates): 0.02452 [0.01004, 0.039] |
age, sex, UKB array type, Genotype PCs | — |
PPM005517 | PSS005353| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.26876 [0.25935, 0.27818] Incremental R2 (full-covars): 0.00737 PGS R2 (no covariates): 0.00777 [0.0056, 0.00995] |
age, sex, UKB array type, Genotype PCs | — |
PPM005518 | PSS005354| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.32937 [0.31233, 0.34641] Incremental R2 (full-covars): 0.00156 PGS R2 (no covariates): 0.00237 [0.00022, 0.00453] |
age, sex, UKB array type, Genotype PCs | — |
PPM005519 | PSS005355| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.26795 [0.26223, 0.27367] Incremental R2 (full-covars): 0.0082 PGS R2 (no covariates): 0.00732 [0.00604, 0.0086] |
age, sex, UKB array type, Genotype PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS005351 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
PSS005352 | — | — | 106 individuals | — | East Asian | — | UKB | — |
PSS005353 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
PSS005354 | — | — | 299 individuals | — | South Asian | — | UKB | — |
PSS005355 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |