Polygenic Score (PGS) ID: PGS001257

Predicted Trait
Reported Trait Childhood sunburn
Mapped Trait(s) sunburn (EFO_0003958)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1737
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_INI1737
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 519
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%
203,279 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
— 203,279 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
PPM008790 PSS004876|
African Ancestry|
5,650 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Childhood sunburn — — R²: 9e-05 [-0.00037, 0.00054]
Incremental R2 (full-covars): -0.00203
PGS R2 (no covariates): 0.0 [-0.00007, 0.00008]		 age, sex, UKB array type, Genotype PCs —
PPM008791 PSS004877|
East Asian Ancestry|
1,297 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Childhood sunburn — — R²: 0.01343 [0.0026, 0.02427]
Incremental R2 (full-covars): 0.00126
PGS R2 (no covariates): 0.00125 [-0.0021, 0.0046]		 age, sex, UKB array type, Genotype PCs —
PPM008792 PSS004878|
European Ancestry|
19,358 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Childhood sunburn — — R²: 0.03588 [0.03135, 0.04042]
Incremental R2 (full-covars): 0.01262
PGS R2 (no covariates): 0.01397 [0.01107, 0.01686]		 age, sex, UKB array type, Genotype PCs —
PPM008793 PSS004879|
South Asian Ancestry|
6,219 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Childhood sunburn — — R²: 0.00339 [0.00082, 0.00595]
Incremental R2 (full-covars): -0.00105
PGS R2 (no covariates): 0.00105 [-0.00038, 0.00249]		 age, sex, UKB array type, Genotype PCs —
PPM008794 PSS004880|
European Ancestry|
50,754 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Childhood sunburn — — R²: 0.00954 [0.00808, 0.011]
Incremental R2 (full-covars): 0.00533
PGS R2 (no covariates): 0.00558 [0.00446, 0.0067]		 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
PSS004876 — — 5,650 individuals — African unspecified — UKB —
PSS004877 — — 1,297 individuals — East Asian — UKB —
PSS004878 — — 19,358 individuals — European non-white British ancestry UKB —
PSS004879 — — 6,219 individuals — South Asian — UKB —
PSS004880 — — 50,754 individuals — European white British ancestry UKB Testing cohort (heldout set)