Predicted Trait | |
Reported Trait | Frequency of playing computer games |
Mapped Trait(s) | lifestyle measurement (EFO_0010724) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI2237 |
Score Construction | |
PGS Name | GBE_INI2237 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 5,774 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000244 |
Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 269,588 individuals (100%) |
PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets |
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 |
---|---|---|---|---|---|---|---|---|
— | 269,588 individuals | European | UKB | — | — | — | white British ancestry | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM007701 | PSS004984| South Asian Ancestry| 7,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of playing computer games | — | — | R²: 0.0123 [0.00745, 0.01715] Incremental R2 (full-covars): -0.00229 PGS R2 (no covariates): 0.00109 [-0.00037, 0.00254] |
age, sex, UKB array type, Genotype PCs | — |
PPM007698 | PSS004981| African Ancestry| 6,346 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of playing computer games | — | — | R²: 0.03251 [0.02403, 0.04099] Incremental R2 (full-covars): -9e-05 PGS R2 (no covariates): 0.00153 [-0.00037, 0.00342] |
age, sex, UKB array type, Genotype PCs | — |
PPM007699 | PSS004982| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of playing computer games | — | — | R²: 0.02361 [0.00939, 0.03782] Incremental R2 (full-covars): 0.0032 PGS R2 (no covariates): 0.00374 [-0.00203, 0.00952] |
age, sex, UKB array type, Genotype PCs | — |
PPM007700 | PSS004983| European Ancestry| 24,878 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of playing computer games | — | — | R²: 0.01946 [0.01606, 0.02285] Incremental R2 (full-covars): 0.00925 PGS R2 (no covariates): 0.00972 [0.00729, 0.01214] |
age, sex, UKB array type, Genotype PCs | — |
PPM007702 | PSS004985| European Ancestry| 67,390 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of playing computer games | — | — | R²: 0.01672 [0.0148, 0.01863] Incremental R2 (full-covars): 0.01068 PGS R2 (no covariates): 0.01089 [0.00933, 0.01245] |
age, sex, UKB array type, Genotype 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 |
---|---|---|---|---|---|---|---|---|
PSS004981 | — | — | 6,346 individuals | — | African unspecified | — | UKB | — |
PSS004982 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
PSS004983 | — | — | 24,878 individuals | — | European | non-white British ancestry | UKB | — |
PSS004984 | — | — | 7,543 individuals | — | South Asian | — | UKB | — |
PSS004985 | — | — | 67,390 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |