| Predicted Trait | |
| Reported Trait | Volume of grey matter in I-IV Cerebellum (R) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25894 |
| Score Construction | |
| PGS Name | GBE_INI25894 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 612 |
| 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
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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Phenotype Definitions & Methods
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Age of Study Participants
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Participant Follow-up Time
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Additional Ancestry Description
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Additional Sample/Cohort Information
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|---|---|---|---|---|---|---|---|---|
| — | 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
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Other Metrics
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Covariates Included in the Model
|
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|
| PPM006905 | PSS006751| African Ancestry| 200 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.21138 [0.19376, 0.229] Incremental R2 (full-covars): -0.00228 PGS R2 (no covariates): 0.00284 [0.00026, 0.00543] | age, sex, UKB array type, Genotype PCs | — |
| PPM006906 | PSS006752| East Asian Ancestry| 113 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.11419 [0.08582, 0.14256] Incremental R2 (full-covars): 0.01005 PGS R2 (no covariates): 0.01382 [0.00284, 0.02481] | age, sex, UKB array type, Genotype PCs | — |
| PPM006907 | PSS006753| European Ancestry| 1,739 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.11593 [0.10845, 0.1234] Incremental R2 (full-covars): 0.01335 PGS R2 (no covariates): 0.01625 [0.01314, 0.01937] | age, sex, UKB array type, Genotype PCs | — |
| PPM006908 | PSS006754| South Asian Ancestry| 329 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.22953 [0.21318, 0.24587] Incremental R2 (full-covars): 0.01945 PGS R2 (no covariates): 0.02287 [0.01633, 0.02941] | age, sex, UKB array type, Genotype PCs | — |
| PPM006909 | PSS006755| European Ancestry| 5,443 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.11247 [0.10798, 0.11697] Incremental R2 (full-covars): 0.01623 PGS R2 (no covariates): 0.01642 [0.01451, 0.01832] | 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
|
|---|---|---|---|---|---|---|---|---|
| PSS006751 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006752 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006753 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006754 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006755 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |