Trait: sun exposure measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0010729
Description Quantification of some aspect of exposure to incident light from the sun.
Trait category
Other measurement
Synonym sunlight exposure measurement
Mapped term PMID:25590795

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000980
(GBE_BIN_FC40002267)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Use of sun / ultraviolet protection (always) sun exposure measurement 2,594
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000980/ScoringFiles/PGS000980.txt.gz
PGS000982
(GBE_BIN_FC10002267)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Use of sun / ultraviolet protection (never / rarely) sun exposure measurement 1,141
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000982/ScoringFiles/PGS000982.txt.gz
PGS001535
(GBE_BIN_FC20002267)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Use of sun/uv protection (Sometimes) sun exposure measurement 309
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001535/ScoringFiles/PGS001535.txt.gz

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)
Evaluated Score 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
PPM007688 PGS000980
(GBE_BIN_FC40002267)
PSS003929|
African Ancestry|
6,273 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Always) AUROC: 0.64912 [0.62037, 0.67788] : 0.04065
Incremental AUROC (full-covars): -0.00306
PGS R2 (no covariates): 0.00204
PGS AUROC (no covariates): 0.53089 [0.5, 0.56177]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007689 PGS000980
(GBE_BIN_FC40002267)
PSS003930|
East Asian Ancestry|
1,652 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Always) AUROC: 0.65218 [0.6125, 0.69186] : 0.0619
Incremental AUROC (full-covars): 0.00077
PGS R2 (no covariates): 0.00031
PGS AUROC (no covariates): 0.51403 [0.47131, 0.55674]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007690 PGS000980
(GBE_BIN_FC40002267)
PSS003931|
European Ancestry|
24,868 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Always) AUROC: 0.64596 [0.63785, 0.65407] : 0.06856
Incremental AUROC (full-covars): 0.0058
PGS R2 (no covariates): 0.01625
PGS AUROC (no covariates): 0.57105 [0.56245, 0.57964]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007691 PGS000980
(GBE_BIN_FC40002267)
PSS003932|
South Asian Ancestry|
7,396 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Always) AUROC: 0.63507 [0.60805, 0.6621] : 0.03575
Incremental AUROC (full-covars): -0.00025
PGS R2 (no covariates): 0.00075
PGS AUROC (no covariates): 0.51757 [0.4904, 0.54473]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007692 PGS000980
(GBE_BIN_FC40002267)
PSS003933|
European Ancestry|
67,387 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Always) AUROC: 0.63198 [0.62709, 0.63688] : 0.05677
Incremental AUROC (full-covars): 0.01257
PGS R2 (no covariates): 0.01131
PGS AUROC (no covariates): 0.55692 [0.55172, 0.56212]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007693 PGS000982
(GBE_BIN_FC10002267)
PSS003716|
African Ancestry|
6,273 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Never/rarely) AUROC: 0.64715 [0.63358, 0.66073] : 0.08512
Incremental AUROC (full-covars): -0.00513
PGS R2 (no covariates): 0.00843
PGS AUROC (no covariates): 0.53885 [0.52453, 0.55317]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007694 PGS000982
(GBE_BIN_FC10002267)
PSS003717|
East Asian Ancestry|
1,652 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Never/rarely) AUROC: 0.65071 [0.62093, 0.68049] : 0.08666
Incremental AUROC (full-covars): 0.00648
PGS R2 (no covariates): 0.00172
PGS AUROC (no covariates): 0.52165 [0.49059, 0.5527]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007695 PGS000982
(GBE_BIN_FC10002267)
PSS003718|
European Ancestry|
24,868 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Never/rarely) AUROC: 0.69857 [0.68892, 0.70822] : 0.09864
Incremental AUROC (full-covars): 0.00464
PGS R2 (no covariates): 0.01659
PGS AUROC (no covariates): 0.5824 [0.57161, 0.5932]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007696 PGS000982
(GBE_BIN_FC10002267)
PSS003719|
South Asian Ancestry|
7,396 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Never/rarely) AUROC: 0.61231 [0.59955, 0.62507] PGS R2 (no covariates): 0.00035
: 0.05067
Incremental AUROC (full-covars): -0.00303
PGS AUROC (no covariates): 0.51061 [0.49745, 0.52377]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007697 PGS000982
(GBE_BIN_FC10002267)
PSS003720|
European Ancestry|
67,387 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Never/rarely) AUROC: 0.6934 [0.68657, 0.70024] : 0.08321
Incremental AUROC (full-covars): 0.01615
PGS R2 (no covariates): 0.00982
PGS AUROC (no covariates): 0.56628 [0.55865, 0.5739]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005190 PGS001535
(GBE_BIN_FC20002267)
PSS003830|
African Ancestry|
6,273 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Sometimes) AUROC: 0.5906 [0.57555, 0.60565] : 0.03109
Incremental AUROC (full-covars): -0.00144
PGS R2 (no covariates): 0.00136
PGS AUROC (no covariates): 0.48531 [0.46984, 0.50078]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005191 PGS001535
(GBE_BIN_FC20002267)
PSS003831|
East Asian Ancestry|
1,652 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Sometimes) AUROC: 0.55282 [0.52505, 0.58059] : 0.01545
Incremental AUROC (full-covars): 0.00303
PGS R2 (no covariates): 0.00113
PGS AUROC (no covariates): 0.51387 [0.48597, 0.54177]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005192 PGS001535
(GBE_BIN_FC20002267)
PSS003832|
European Ancestry|
24,868 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Sometimes) AUROC: 0.59511 [0.58776, 0.60245] : 0.03349
Incremental AUROC (full-covars): 0.0029
PGS R2 (no covariates): 0.00751
PGS AUROC (no covariates): 0.54353 [0.53602, 0.55103]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005193 PGS001535
(GBE_BIN_FC20002267)
PSS003833|
South Asian Ancestry|
7,396 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Sometimes) AUROC: 0.55494 [0.54118, 0.5687] : 0.01063
Incremental AUROC (full-covars): -0.00239
PGS R2 (no covariates): 0.00017
PGS AUROC (no covariates): 0.49173 [0.47787, 0.50558]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005194 PGS001535
(GBE_BIN_FC20002267)
PSS003834|
European Ancestry|
67,387 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Use of sun/uv protection (Sometimes) AUROC: 0.59313 [0.58866, 0.5976] : 0.03328
Incremental AUROC (full-covars): 0.00692
PGS R2 (no covariates): 0.00443
PGS AUROC (no covariates): 0.53162 [0.52709, 0.53614]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method

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
PSS003932
[
  • 460 cases
  • , 6,936 controls
]
South Asian UKB
PSS003933
[
  • 15,222 cases
  • , 52,165 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS003833
[
  • 2,556 cases
  • , 4,840 controls
]
South Asian UKB
PSS003716
[
  • 3,409 cases
  • , 2,864 controls
]
African unspecified UKB
PSS003717
[
  • 469 cases
  • , 1,183 controls
]
East Asian UKB
PSS003718
[
  • 2,951 cases
  • , 21,917 controls
]
European non-white British ancestry UKB
PSS003719
[
  • 3,696 cases
  • , 3,700 controls
]
South Asian UKB
PSS003720
[
  • 5,808 cases
  • , 61,579 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS003834
[
  • 23,767 cases
  • , 43,620 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS003830
[
  • 1,944 cases
  • , 4,329 controls
]
African unspecified UKB
PSS003831
[
  • 762 cases
  • , 890 controls
]
East Asian UKB
PSS003832
[
  • 8,425 cases
  • , 16,443 controls
]
European non-white British ancestry UKB
PSS003929
[
  • 366 cases
  • , 5,907 controls
]
African unspecified UKB
PSS003930
[
  • 187 cases
  • , 1,465 controls
]
East Asian UKB
PSS003931
[
  • 5,387 cases
  • , 19,481 controls
]
European non-white British ancestry UKB