Predicted Trait | |
Reported Trait | Mean ISOVF in fornix on FA skeleton |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25445 |
Score Construction | |
PGS Name | GBE_INI25445 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 733 |
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% 21,080 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 |
---|---|---|---|---|---|---|---|---|
— | 21,080 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 |
---|---|---|---|---|---|---|---|---|
PPM005890 | PSS005726| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.42257 [0.40433, 0.44082] Incremental R2 (full-covars): 0.00607 PGS R2 (no covariates): 0.00713 [0.00306, 0.01121] |
age, sex, UKB array type, Genotype PCs | — |
PPM005891 | PSS005727| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.40925 [0.37344, 0.44507] Incremental R2 (full-covars): -0.01268 PGS R2 (no covariates): 0.00341 [-0.0021, 0.00893] |
age, sex, UKB array type, Genotype PCs | — |
PPM005892 | PSS005728| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.29493 [0.28542, 0.30444] Incremental R2 (full-covars): 0.01529 PGS R2 (no covariates): 0.01451 [0.01157, 0.01746] |
age, sex, UKB array type, Genotype PCs | — |
PPM005893 | PSS005729| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.38934 [0.37247, 0.40622] Incremental R2 (full-covars): 0.00152 PGS R2 (no covariates): 0.00097 [-0.00041, 0.00234] |
age, sex, UKB array type, Genotype PCs | — |
PPM005894 | PSS005730| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.3119 [0.3061, 0.3177] Incremental R2 (full-covars): 0.01206 PGS R2 (no covariates): 0.0106 [0.00907, 0.01214] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005726 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
PSS005727 | — | — | 106 individuals | — | East Asian | — | UKB | — |
PSS005728 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
PSS005729 | — | — | 299 individuals | — | South Asian | — | UKB | — |
PSS005730 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |