| Predicted Trait | |
| Reported Trait | Fluid intelligence score | 
| Mapped Trait(s) | intelligence (EFO_0004337) | 
| Additional Trait Information | physical measures | 
| Score Construction | |
| PGS Name | portability-PLR_fluid_intelligence | 
| Development Method | |
| Name | Penalized regression (bigstatsr) | 
| Parameters | HapMap3 variants | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 26,145 | 
| Effect Weight Type | beta | 
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000263 | 
| Citation (link to publication) | Privé F et al. Am J Hum Genet (2022) | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| — | 391,124 individuals | European | UKB | — | — | — | UK (+ Ireland) | — | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| PPM010231 | PSS009406| European Ancestry| 5,092 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.1628 [0.1359, 0.1895] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM010232 | PSS009180| European Ancestry| 984 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.0669 [0.0038, 0.1295] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM010233 | PSS008734| European Ancestry| 1,846 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.1731 [0.1282, 0.2172] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM010235 | PSS008286| South Asian Ancestry| 653 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.1605 [0.0836, 0.2354] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM010236 | PSS008063| East Asian Ancestry| 345 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.0626 [-0.0465, 0.1703] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM010237 | PSS007850| African Ancestry| 266 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.1082 [-0.0171, 0.2302] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM010238 | PSS008954| African Ancestry| 323 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.0768 [-0.0362, 0.1879] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM010234 | PSS008508| Greater Middle Eastern Ancestry| 158 individuals | PGP000263 | Privé F et al. Am J Hum Genet (2022) | Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.1171 [-0.051, 0.2788] | sex, age, birth date, deprivation index, 16 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 | 
|---|---|---|---|---|---|---|---|---|
| PSS008508 | — | — | 158 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — | 
| PSS007850 | — | — | 266 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — | 
| PSS008286 | — | — | 653 individuals | — | South Asian | India (South Asia) | UKB | — | 
| PSS008734 | — | — | 1,846 individuals | — | European | Italy (South Europe) | UKB | — | 
| PSS008954 | — | — | 323 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — | 
| PSS009180 | — | — | 984 individuals | — | European | Poland (NE Europe) | UKB | — | 
| PSS009406 | — | — | 5,092 individuals | — | European | UK (+ Ireland) | UKB | — | 
| PSS008063 | — | — | 345 individuals | — | East Asian | China (East Asia) | UKB | — |