Predicted Trait | |
Reported Trait | Mean ICVF in cingulum hippocampus on FA skeleton (L) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25381 |
Score Construction | |
PGS Name | GBE_INI25381 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,153 |
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 |
---|---|---|---|---|---|---|---|---|
PPM005835 | PSS005671| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.14552 [0.12968, 0.16137] Incremental R2 (full-covars): -0.00473 PGS R2 (no covariates): 0.00732 [0.00319, 0.01145] |
age, sex, UKB array type, Genotype PCs | — |
PPM005836 | PSS005672| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.15182 [0.1205, 0.18314] Incremental R2 (full-covars): 0.09456 PGS R2 (no covariates): 0.09863 [0.07181, 0.12546] |
age, sex, UKB array type, Genotype PCs | — |
PPM005837 | PSS005673| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.12422 [0.11656, 0.13189] Incremental R2 (full-covars): 0.05046 PGS R2 (no covariates): 0.04937 [0.04413, 0.05462] |
age, sex, UKB array type, Genotype PCs | — |
PPM005838 | PSS005674| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.0267 [0.01965, 0.03374] Incremental R2 (full-covars): 0.00227 PGS R2 (no covariates): 0.00775 [0.00388, 0.01161] |
age, sex, UKB array type, Genotype PCs | — |
PPM005839 | PSS005675| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.07813 [0.07424, 0.08202] Incremental R2 (full-covars): 0.03509 PGS R2 (no covariates): 0.03619 [0.03343, 0.03896] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005671 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
PSS005672 | — | — | 106 individuals | — | East Asian | — | UKB | — |
PSS005673 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
PSS005674 | — | — | 299 individuals | — | South Asian | — | UKB | — |
PSS005675 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |