Predicted Trait | |
Reported Trait | Volume of grey matter in Hippocampus (L) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25886 |
Score Construction | |
PGS Name | GBE_INI25886 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,427 |
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% 22,320 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 |
---|---|---|---|---|---|---|---|---|
— | 22,320 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 |
---|---|---|---|---|---|---|---|---|
PPM006870 | PSS006716| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.13025 [0.11499, 0.14551] Incremental R2 (full-covars): -0.03183 PGS R2 (no covariates): 0.00618 [0.00238, 0.00997] |
age, sex, UKB array type, Genotype PCs | — |
PPM006871 | PSS006717| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.29602 [0.25972, 0.33232] Incremental R2 (full-covars): 0.00283 PGS R2 (no covariates): 0.02592 [0.01106, 0.04078] |
age, sex, UKB array type, Genotype PCs | — |
PPM006872 | PSS006718| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.24885 [0.23954, 0.25815] Incremental R2 (full-covars): 0.02762 PGS R2 (no covariates): 0.03121 [0.02696, 0.03546] |
age, sex, UKB array type, Genotype PCs | — |
PPM006873 | PSS006719| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.36017 [0.34317, 0.37717] Incremental R2 (full-covars): 0.01481 PGS R2 (no covariates): 0.02413 [0.01742, 0.03084] |
age, sex, UKB array type, Genotype PCs | — |
PPM006874 | PSS006720| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.22036 [0.21483, 0.22588] Incremental R2 (full-covars): 0.03488 PGS R2 (no covariates): 0.04006 [0.03716, 0.04296] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006716 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS006717 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS006718 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS006719 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS006720 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |