Predicted Trait | |
Reported Trait | Intelligence quotient |
Mapped Trait(s) | intelligence (EFO_0004337) |
Additional Trait Information | UKB Verbal Numeric Reasoning (VNR) task |
Score Construction | |
PGS Name | IQ |
Development Method | |
Name | SBLUP |
Parameters | MAF<0.01, INFO<0.3, causal variant p<1 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 6,683,248 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000465 |
Citation (link to publication) | Hatoum AS et al. Biol Psychiatry (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 216,381 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST90179114 Europe PMC: 36150907 |
216,381 individuals | European | UKB |
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 |
---|---|---|---|---|---|---|---|---|
PPM018418 | PSS010959| European Ancestry| 916 individuals |
PGP000465 | Hatoum AS et al. Biol Psychiatry (2022) |
Reported Trait: Intelligence quotient | β: 0.149 | — | R²: 0.121 | PCs1-10, genotyping batch, cEF PGS | cEF and IQ were genetically correlated (0.61) so were used as covariates in the PGS prediction model. |
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 |
---|---|---|---|---|---|---|---|---|
PSS010959 | — | — | 916 individuals | — | European | — | COL_Twin | — |