| 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-PLR_play_computer |
| Development Method | |
| Name | Penalized regression (bigstatsr) |
| Parameters | HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 50,215 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM010867 | 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): 0.1371 [0.1235, 0.1507] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010870 | 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): 0.0933 [0.035, 0.151] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010871 | 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): 0.0869 [0.0619, 0.1117] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010872 | 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): 0.0169 [-0.0298, 0.0635] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010873 | 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): 0.0494 [0.0096, 0.089] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010874 | 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): 0.0465 [0.0147, 0.0782] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010868 | 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): 0.1306 [0.1003, 0.1605] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010869 | 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): 0.1279 [0.1041, 0.1515] | 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 | — |
| PSS008363 | — | — | 6,108 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008140 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009483 | — | — | 19,980 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008811 | — | — | 6,626 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS007927 | — | — | 2,445 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |