Polygenic Score (PGS) ID: PGS000984

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
Released in PGS Catalog: Oct. 21, 2021
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PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

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

Development Samples

Score Development/Training
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

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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 : 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 : 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 : 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 : 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 : 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

Evaluated Samples

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)