Predicted Trait | |
Reported Trait | Volume of brain, grey+white matter |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25010 |
Score Construction | |
PGS Name | GBE_INI25010 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,871 |
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 |
---|---|---|---|---|---|---|---|---|
PPM005395 | PSS005231| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.40405 [0.38564, 0.42247] Incremental R2 (full-covars): -0.0292 PGS R2 (no covariates): 0.02189 [0.01486, 0.02893] |
age, sex, UKB array type, Genotype PCs | — |
PPM005396 | PSS005232| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.38326 [0.34708, 0.41945] Incremental R2 (full-covars): -0.00215 PGS R2 (no covariates): 0.00409 [-0.00195, 0.01013] |
age, sex, UKB array type, Genotype PCs | — |
PPM005397 | PSS005233| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.45229 [0.44314, 0.46144] Incremental R2 (full-covars): 0.02333 PGS R2 (no covariates): 0.02441 [0.02062, 0.02819] |
age, sex, UKB array type, Genotype PCs | — |
PPM005398 | PSS005234| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.45569 [0.43942, 0.47196] Incremental R2 (full-covars): 0.03057 PGS R2 (no covariates): 0.03762 [0.02935, 0.04588] |
age, sex, UKB array type, Genotype PCs | — |
PPM005399 | PSS005235| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.385 [0.37924, 0.39076] Incremental R2 (full-covars): 0.03029 PGS R2 (no covariates): 0.03704 [0.03424, 0.03984] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005231 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005232 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005233 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005234 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005235 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |