Predicted Trait | |
Reported Trait | Volume of grey matter in I-IV Cerebellum (L) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25893 |
Score Construction | |
PGS Name | GBE_INI25893 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 775 |
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 |
---|---|---|---|---|---|---|---|---|
PPM006900 | PSS006746| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.23586 [0.21782, 0.2539] Incremental R2 (full-covars): -0.0017 PGS R2 (no covariates): 0.00167 [-0.00031, 0.00365] |
age, sex, UKB array type, Genotype PCs | — |
PPM006901 | PSS006747| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.1308 [0.10101, 0.16059] Incremental R2 (full-covars): 0.00056 PGS R2 (no covariates): 0.00268 [-0.00221, 0.00758] |
age, sex, UKB array type, Genotype PCs | — |
PPM006902 | PSS006748| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.11705 [0.10955, 0.12456] Incremental R2 (full-covars): 0.02184 PGS R2 (no covariates): 0.02652 [0.02259, 0.03046] |
age, sex, UKB array type, Genotype PCs | — |
PPM006903 | PSS006749| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.20074 [0.18489, 0.2166] Incremental R2 (full-covars): 0.01929 PGS R2 (no covariates): 0.0172 [0.0115, 0.02291] |
age, sex, UKB array type, Genotype PCs | — |
PPM006904 | PSS006750| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.11106 [0.10659, 0.11553] Incremental R2 (full-covars): 0.02037 PGS R2 (no covariates): 0.02005 [0.01796, 0.02214] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006748 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS006749 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS006750 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS006746 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS006747 | — | — | 113 individuals | — | East Asian | — | UKB | — |