| Predicted Trait | |
| Reported Trait | Fluid intelligence score |
| Mapped Trait(s) | intelligence (EFO_0004337) |
| Score Construction | |
| PGS Name | cont-decay-fluid_intelligence |
| Development Method | |
| Name | LDpred2-auto |
| Parameters | vec_p_init = seq_log(1e-4, 0.9, length.out = 10), burn_in = 100, num_iter = 500, report_step = 5 |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 979,739 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000457 |
| Citation (link to publication) | Ding Y et al. bioRxiv (2022) Preprint |
| 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 |
|---|---|---|---|---|---|---|---|---|
| — | 94,746 individuals, 0.45 % Male samples |
European | UKB | — | Mean = 56.3 years Sd = 7.6 years |
— | white British | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM017438 | PSS010872| European Ancestry| 5,148 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017522 | PSS010788| European Ancestry| 983 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017606 | PSS010620| European Ancestry| 1,785 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017690 | PSS010536| Greater Middle Eastern Ancestry| 158 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017774 | PSS010200| European Ancestry| 799 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017858 | PSS010452| South Asian Ancestry| 652 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017942 | PSS010368| East Asian Ancestry| 345 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018026 | PSS010284| African Ancestry| 266 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018110 | PSS010704| African Ancestry| 322 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS010368 | — | — | 345 individuals, 27.0 % Male samples |
Mean = 52.1 years Sd = 7.6 years |
East Asian | Chinese | UKB | — |
| PSS010200 | — | — | 799 individuals, 43.0 % Male samples |
Mean = 57.7 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS010788 | — | — | 983 individuals, 35.0 % Male samples |
Mean = 54.1 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010536 | — | — | 158 individuals, 56.0 % Male samples |
Mean = 54.5 years Sd = 7.6 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010284 | — | — | 266 individuals, 34.0 % Male samples |
Mean = 50.4 years Sd = 7.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010704 | — | — | 322 individuals, 47.0 % Male samples |
Mean = 50.6 years Sd = 7.4 years |
African unspecified | Nigerian | UKB | — |
| PSS010452 | — | — | 652 individuals, 54.0 % Male samples |
Mean = 52.5 years Sd = 8.3 years |
South Asian | Indian | UKB | — |
| PSS010872 | — | — | 5,148 individuals, 46.0 % Male samples |
Mean = 56.4 years Sd = 7.6 years |
European | white British | UKB | — |
| PSS010620 | — | — | 1,785 individuals, 42.0 % Male samples |
Mean = 54.1 years Sd = 8.1 years |
European | Italian | UKB | — |