Predicted Trait | |
Reported Trait | Volumetric scaling from T1 head image to standard space |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25000 |
Score Construction | |
PGS Name | GBE_INI25000 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,304 |
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 |
---|---|---|---|---|---|---|---|---|
PPM005350 | PSS005181| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.34947 [0.33077, 0.36816] Incremental R2 (full-covars): -0.01679 PGS R2 (no covariates): 0.01727 [0.01099, 0.02355] |
age, sex, UKB array type, Genotype PCs | — |
PPM005351 | PSS005182| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.3321 [0.29562, 0.36857] Incremental R2 (full-covars): 0.01092 PGS R2 (no covariates): 0.01319 [0.00245, 0.02392] |
age, sex, UKB array type, Genotype PCs | — |
PPM005352 | PSS005183| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.44904 [0.43987, 0.45821] Incremental R2 (full-covars): 0.02391 PGS R2 (no covariates): 0.02614 [0.02223, 0.03005] |
age, sex, UKB array type, Genotype PCs | — |
PPM005353 | PSS005184| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.39771 [0.3809, 0.41453] Incremental R2 (full-covars): 0.01306 PGS R2 (no covariates): 0.01522 [0.00984, 0.0206] |
age, sex, UKB array type, Genotype PCs | — |
PPM005354 | PSS005185| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.41669 [0.41101, 0.42238] Incremental R2 (full-covars): 0.02811 PGS R2 (no covariates): 0.02866 [0.02617, 0.03114] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005181 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005182 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005183 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005184 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005185 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |