Predicted Trait | |
Reported Trait | Volume of grey matter (normalised for head size) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25005 |
Score Construction | |
PGS Name | GBE_INI25005 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,139 |
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% 22,323 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 |
---|---|---|---|---|---|---|---|---|
— | 22,323 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 |
---|---|---|---|---|---|---|---|---|
PPM005370 | PSS005206| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.27618 [0.25769, 0.29467] Incremental R2 (full-covars): -0.00164 PGS R2 (no covariates): 0.00231 [-0.00002, 0.00464] |
age, sex, UKB array type, Genotype PCs | — |
PPM005371 | PSS005207| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.49432 [0.46062, 0.52801] Incremental R2 (full-covars): 0.01842 PGS R2 (no covariates): 0.00192 [-0.00222, 0.00606] |
age, sex, UKB array type, Genotype PCs | — |
PPM005372 | PSS005208| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.45816 [0.44905, 0.46727] Incremental R2 (full-covars): 0.00745 PGS R2 (no covariates): 0.00623 [0.00428, 0.00818] |
age, sex, UKB array type, Genotype PCs | — |
PPM005373 | PSS005209| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.40881 [0.39207, 0.42554] Incremental R2 (full-covars): 0.0086 PGS R2 (no covariates): 0.01079 [0.00624, 0.01533] |
age, sex, UKB array type, Genotype PCs | — |
PPM005374 | PSS005210| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.44852 [0.44295, 0.4541] Incremental R2 (full-covars): 0.00935 PGS R2 (no covariates): 0.00989 [0.0084, 0.01137] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005206 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005207 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005208 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005209 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005210 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |