Predicted Trait | |
Reported Trait | Volume of grey matter in Parietal Operculum Cortex (R) |
Mapped Trait(s) | grey matter volume measurement (EFO_0005420) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25867 |
Score Construction | |
PGS Name | GBE_INI25867 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 699 |
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 | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM008442 | PSS006651| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.16219 [0.14579, 0.17859] Incremental R2 (full-covars): 0.00336 PGS R2 (no covariates): 0.00042 [-0.00058, 0.00142] |
age, sex, UKB array type, Genotype PCs | — |
PPM008443 | PSS006652| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.22649 [0.1916, 0.26137] Incremental R2 (full-covars): 0.00699 PGS R2 (no covariates): 0.00387 [-0.002, 0.00975] |
age, sex, UKB array type, Genotype PCs | — |
PPM008444 | PSS006653| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.21266 [0.20364, 0.22168] Incremental R2 (full-covars): 0.00324 PGS R2 (no covariates): 0.00394 [0.00238, 0.00549] |
age, sex, UKB array type, Genotype PCs | — |
PPM008445 | PSS006654| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.18614 [0.1706, 0.20169] Incremental R2 (full-covars): 0.00981 PGS R2 (no covariates): 0.00576 [0.00242, 0.0091] |
age, sex, UKB array type, Genotype PCs | — |
PPM008446 | PSS006655| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.15331 [0.1483, 0.15831] Incremental R2 (full-covars): 0.00692 PGS R2 (no covariates): 0.00739 [0.0061, 0.00868] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006652 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS006653 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS006654 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS006655 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS006651 | — | — | 200 individuals | — | African unspecified | — | UKB | — |