Polygenic Score (PGS) ID: PGS001000

Predicted Trait
Reported Trait Nap during day
Mapped Trait(s) nap during day, self-reported (EFO_0009818)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/QT_FC1001190
Released in PGS Catalog: Oct. 21, 2021
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Score Details

Score Construction
PGS Name GBE_QT_FC1001190
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 10,264
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%
269,610 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
269,610 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
PPM007763 PSS007531|
African Ancestry|
6,354 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nap during day : 0.02805 [0.02013, 0.03596]
Incremental R2 (full-covars): -0.0026
PGS R2 (no covariates): 0.0015 [-0.00038, 0.00338]
age, sex, UKB array type, Genotype PCs
PPM007764 PSS007532|
East Asian Ancestry|
1,639 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nap during day : 0.04314 [0.02431, 0.06197]
Incremental R2 (full-covars): 0.00779
PGS R2 (no covariates): 0.00945 [0.00032, 0.01858]
age, sex, UKB array type, Genotype PCs
PPM007765 PSS007533|
European Ancestry|
24,845 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nap during day : 0.05039 [0.0451, 0.05569]
Incremental R2 (full-covars): 0.01434
PGS R2 (no covariates): 0.01525 [0.01223, 0.01827]
age, sex, UKB array type, Genotype PCs
PPM007766 PSS007534|
South Asian Ancestry|
7,429 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nap during day : 0.03321 [0.02541, 0.04101]
Incremental R2 (full-covars): 0.0042
PGS R2 (no covariates): 0.00671 [0.0031, 0.01031]
age, sex, UKB array type, Genotype PCs
PPM007767 PSS007535|
European Ancestry|
67,398 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nap during day : 0.06089 [0.05739, 0.06439]
Incremental R2 (full-covars): 0.01718
PGS R2 (no covariates): 0.01737 [0.01541, 0.01932]
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
PSS007531 6,354 individuals African unspecified UKB
PSS007532 1,639 individuals East Asian UKB
PSS007533 24,845 individuals European non-white British ancestry UKB
PSS007534 7,429 individuals South Asian UKB
PSS007535 67,398 individuals European white British ancestry UKB Testing cohort (heldout set)