Predicted Trait | |
Reported Trait | Volume of white matter (normalised for head size) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25007 |
Score Construction | |
PGS Name | GBE_INI25007 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,005 |
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 |
---|---|---|---|---|---|---|---|---|
PPM005380 | PSS005216| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.21512 [0.19743, 0.23282] Incremental R2 (full-covars): -0.0154 PGS R2 (no covariates): 0.0028 [0.00023, 0.00536] |
age, sex, UKB array type, Genotype PCs | — |
PPM005381 | PSS005217| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.22502 [0.19018, 0.25986] Incremental R2 (full-covars): 0.01122 PGS R2 (no covariates): 0.01815 [0.00562, 0.03069] |
age, sex, UKB array type, Genotype PCs | — |
PPM005382 | PSS005218| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.16789 [0.15943, 0.17636] Incremental R2 (full-covars): 0.02175 PGS R2 (no covariates): 0.02403 [0.02027, 0.02779] |
age, sex, UKB array type, Genotype PCs | — |
PPM005383 | PSS005219| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.16364 [0.14866, 0.17861] Incremental R2 (full-covars): 0.00858 PGS R2 (no covariates): 0.02028 [0.0141, 0.02646] |
age, sex, UKB array type, Genotype PCs | — |
PPM005384 | PSS005220| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.12086 [0.11624, 0.12547] Incremental R2 (full-covars): 0.02406 PGS R2 (no covariates): 0.02556 [0.02321, 0.02791] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005216 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005217 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005218 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005219 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005220 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |