Predicted Trait | |
Reported Trait | Fluid intelligence score |
Mapped Trait(s) | intelligence (EFO_0004337) |
Score Construction | |
PGS Name | X20016.score |
Development Method | |
Name | LDpred2 |
Parameters | LDpred2-infinitesimal model using HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,059,939 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000561 |
Citation (link to publication) | Jung H et al. Commun Biol (2024) |
Ancestry Distribution | |
Score Development/Training | European: 100% 174,489 individuals (100%) |
PGS Evaluation | European: 100% 1 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 |
---|---|---|---|---|---|---|---|---|
— | 174,489 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 |
---|---|---|---|---|---|---|---|---|
PPM020542 | PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Fluid intelligence score | — | — | PGS R2 (no covariates): 0.22342 | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |