| Predicted Trait | |
| Reported Trait | Volume of grey matter in Cuneal Cortex (R) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25845 |
| Score Construction | |
| PGS Name | GBE_INI25845 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 930 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM006735 | PSS006576| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.15176 [0.1357, 0.16782] Incremental R2 (full-covars): -0.01191 PGS R2 (no covariates): 0.00423 [0.00108, 0.00738] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006736 | PSS006577| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.16893 [0.13656, 0.2013] Incremental R2 (full-covars): -0.03962 PGS R2 (no covariates): 0.02829 [0.0128, 0.04378] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006737 | PSS006578| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.17399 [0.16544, 0.18255] Incremental R2 (full-covars): 0.00623 PGS R2 (no covariates): 0.00863 [0.00635, 0.01092] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006738 | PSS006579| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.16401 [0.14902, 0.179] Incremental R2 (full-covars): 0.01645 PGS R2 (no covariates): 0.00899 [0.00483, 0.01315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006739 | PSS006580| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.11709 [0.11253, 0.12165] Incremental R2 (full-covars): 0.0091 PGS R2 (no covariates): 0.00941 [0.00796, 0.01086] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006576 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006577 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006578 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006579 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006580 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |