| Predicted Trait | |
| Reported Trait | Plays computer games |
| Mapped Trait(s) | lifestyle measurement (EFO_0010724) |
| Additional Trait Information | lifestyle and environment |
| Score Construction | |
| PGS Name | portability-ldpred2_play_computer |
| Development Method | |
| Name | LDpred2 (bigsnpr) |
| Parameters | LDpred2-auto using HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 938,047 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM012583 | PSS009483| European Ancestry| 19,980 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.1516 [0.138, 0.1651] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012585 | PSS008811| European Ancestry| 6,626 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.1404 [0.1167, 0.1639] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012586 | PSS008585| Greater Middle Eastern Ancestry| 1,143 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.0915 [0.0331, 0.1492] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012587 | PSS008363| South Asian Ancestry| 6,108 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.0871 [0.0621, 0.112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012588 | PSS008140| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.0686 [0.022, 0.1149] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012589 | PSS007927| African Ancestry| 2,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.0742 [0.0345, 0.1137] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012590 | PSS009031| African Ancestry| 3,818 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.0572 [0.0255, 0.0889] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012584 | PSS009257| European Ancestry| 4,117 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Plays computer games | — | — | Partial Correlation (partial-r): 0.159 [0.129, 0.1887] | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS009031 | — | — | 3,818 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008585 | — | — | 1,143 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009257 | — | — | 4,117 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008811 | — | — | 6,626 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008140 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008363 | — | — | 6,108 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009483 | — | — | 19,980 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007927 | — | — | 2,445 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |