Predicted Trait | |
Reported Trait | Mean FA in cingulum hippocampus on FA skeleton (R) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25092 |
Score Construction | |
PGS Name | GBE_INI25092 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 879 |
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 |
---|---|---|---|---|---|---|---|---|
PPM005620 | PSS005456| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.10917 [0.09486, 0.12347] Incremental R2 (full-covars): 0.00472 PGS R2 (no covariates): 0.00773 [0.00349, 0.01197] |
age, sex, UKB array type, Genotype PCs | — |
PPM005621 | PSS005457| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.12424 [0.09499, 0.15349] Incremental R2 (full-covars): -0.00525 PGS R2 (no covariates): 0.00698 [-0.00088, 0.01485] |
age, sex, UKB array type, Genotype PCs | — |
PPM005622 | PSS005458| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.06602 [0.06006, 0.07198] Incremental R2 (full-covars): 0.00199 PGS R2 (no covariates): 0.0038 [0.00228, 0.00533] |
age, sex, UKB array type, Genotype PCs | — |
PPM005623 | PSS005459| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.04232 [0.0336, 0.05105] Incremental R2 (full-covars): 0.00673 PGS R2 (no covariates): 0.01284 [0.00789, 0.01779] |
age, sex, UKB array type, Genotype PCs | — |
PPM005624 | PSS005460| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.03947 [0.03659, 0.04235] Incremental R2 (full-covars): 0.00485 PGS R2 (no covariates): 0.00545 [0.00434, 0.00655] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005456 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
PSS005457 | — | — | 106 individuals | — | East Asian | — | UKB | — |
PSS005458 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
PSS005459 | — | — | 299 individuals | — | South Asian | — | UKB | — |
PSS005460 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |