Predicted Trait | |
Reported Trait | Volume of grey matter in Precuneous Cortex (L) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25842 |
Score Construction | |
PGS Name | GBE_INI25842 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 2,184 |
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 |
---|---|---|---|---|---|---|---|---|
PPM006730 | PSS006571| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.17418 [0.15742, 0.19093] Incremental R2 (full-covars): -0.00715 PGS R2 (no covariates): 0.00011 [-0.0004, 0.00061] |
age, sex, UKB array type, Genotype PCs | — |
PPM006731 | PSS006572| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.23189 [0.19683, 0.26694] Incremental R2 (full-covars): 0.00823 PGS R2 (no covariates): 0.02268 [0.00873, 0.03663] |
age, sex, UKB array type, Genotype PCs | — |
PPM006732 | PSS006573| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.26361 [0.25422, 0.273] Incremental R2 (full-covars): 0.01519 PGS R2 (no covariates): 0.01267 [0.00991, 0.01543] |
age, sex, UKB array type, Genotype PCs | — |
PPM006733 | PSS006574| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.20897 [0.19296, 0.22499] Incremental R2 (full-covars): 0.02617 PGS R2 (no covariates): 0.02229 [0.01583, 0.02875] |
age, sex, UKB array type, Genotype PCs | — |
PPM006734 | PSS006575| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.17381 [0.16861, 0.17901] Incremental R2 (full-covars): 0.01295 PGS R2 (no covariates): 0.01375 [0.012, 0.01549] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006571 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS006572 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS006573 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS006574 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS006575 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |