Predicted Trait | |
Reported Trait | Fluid intelligence score |
Mapped Trait(s) | intelligence (EFO_0004337) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI20016 |
Score Construction | |
PGS Name | GBE_INI20016 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 10,055 |
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% 109,369 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 |
---|---|---|---|---|---|---|---|---|
— | 109,369 individuals | European | UKB | — | — | — | white British ancestry | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM008669 | PSS004891| African Ancestry| 3,281 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | R²: 0.01453 [0.00875, 0.0203] Incremental R2 (full-covars): -0.01682 PGS R2 (no covariates): 0.00026 [-0.00053, 0.00105] |
age, sex, UKB array type, Genotype PCs | — |
PPM008670 | PSS004892| East Asian Ancestry| 716 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | R²: 0.06194 [0.03982, 0.08407] Incremental R2 (full-covars): -0.023 PGS R2 (no covariates): 0.00235 [-0.00223, 0.00694] |
age, sex, UKB array type, Genotype PCs | — |
PPM008671 | PSS004893| European Ancestry| 10,867 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | R²: 0.12663 [0.11891, 0.13435] Incremental R2 (full-covars): 0.02765 PGS R2 (no covariates): 0.03358 [0.02918, 0.03797] |
age, sex, UKB array type, Genotype PCs | — |
PPM008672 | PSS004894| South Asian Ancestry| 3,933 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | R²: 0.04498 [0.03601, 0.05394] Incremental R2 (full-covars): 0.01256 PGS R2 (no covariates): 0.01775 [0.01195, 0.02354] |
age, sex, UKB array type, Genotype PCs | — |
PPM008673 | PSS004895| European Ancestry| 27,171 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | R²: 0.06613 [0.0625, 0.06975] Incremental R2 (full-covars): 0.0502 PGS R2 (no covariates): 0.05073 [0.0475, 0.05395] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004892 | — | — | 716 individuals | — | East Asian | — | UKB | — |
PSS004893 | — | — | 10,867 individuals | — | European | non-white British ancestry | UKB | — |
PSS004894 | — | — | 3,933 individuals | — | South Asian | — | UKB | — |
PSS004895 | — | — | 27,171 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004891 | — | — | 3,281 individuals | — | African unspecified | — | UKB | — |