| Predicted Trait | |
| Reported Trait | Fluid intelligence score |
| Mapped Trait(s) | intelligence (EFO_0004337) |
| Additional Trait Information | physical measures |
| Score Construction | |
| PGS Name | portability-ldpred2_fluid_intelligence |
| Development Method | |
| Name | LDpred2 (bigsnpr) |
| Parameters | LDpred2-auto using HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 903,259 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM011938 | PSS008954| African Ancestry| 323 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.0494 [-0.0636, 0.1612] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011931 | 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): 0.1998 [0.1733, 0.2261] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011932 | PSS009180| European Ancestry| 984 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.1048 [0.0419, 0.1668] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011933 | 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): 0.1987 [0.1542, 0.2423] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011934 | 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): 0.0685 [-0.0997, 0.233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011935 | 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): 0.1703 [0.0936, 0.245] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011936 | 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): 0.1364 [0.0281, 0.2416] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011937 | PSS007850| African Ancestry| 266 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Fluid intelligence score | — | — | Partial Correlation (partial-r): 0.1361 [0.0112, 0.2568] | 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 | — |