Trait: environmental exposure measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0008360
Description quantification of some aspect of exposure to an environmental factor such as pollutants
Trait category
Other measurement
Child trait(s) 3 child traits

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
Note: This table shows all PGS for "environmental exposure measurement" and any child terms of this trait in the EFO hierarchy by default.
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
PGS001044
(GBE_BIN_FC2006179)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Glucosamine intake vitamin supplement exposure measurement 324
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001044/ScoringFiles/PGS001044.txt.gz
PGS001045
(GBE_BIN_FC6006155)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Vitamin B9 intake vitamin supplement exposure measurement 5
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001045/ScoringFiles/PGS001045.txt.gz
PGS001046
(GBE_BIN_FC40001249)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Past tobacco smoking (Smoked at least once) tobacco smoke exposure measurement 6,169
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001046/ScoringFiles/PGS001046.txt.gz
PGS001047
(GBE_BIN_FC20001249)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Past tobacco smoking (Smoked occasionally) tobacco smoke exposure measurement 2,245
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001047/ScoringFiles/PGS001047.txt.gz
PGS001052
(GBE_INI1050)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Time spend outdoors in summer environmental exposure measurement 5,661
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001052/ScoringFiles/PGS001052.txt.gz
PGS001053
(GBE_INI1060)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Time spend outdoors in winter environmental exposure measurement 2,323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001053/ScoringFiles/PGS001053.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
PPM007978 PGS001044
(GBE_BIN_FC2006179)
PSS003864|
African Ancestry|
6,334 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Glucosamine AUROC: 0.65622 [0.63608, 0.67636] : 0.06346
Incremental AUROC (full-covars): 0.00075
PGS R2 (no covariates): 0.00077
PGS AUROC (no covariates): 0.51768 [0.49687, 0.53848]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007979 PGS001044
(GBE_BIN_FC2006179)
PSS003865|
East Asian Ancestry|
1,651 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Glucosamine AUROC: 0.68295 [0.65155, 0.71435] : 0.10514
Incremental AUROC (full-covars): -1e-05
PGS R2 (no covariates): 0.00024
PGS AUROC (no covariates): 0.50873 [0.47479, 0.54268]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007980 PGS001044
(GBE_BIN_FC2006179)
PSS003866|
European Ancestry|
24,820 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Glucosamine AUROC: 0.63822 [0.62937, 0.64707] : 0.05449
Incremental AUROC (full-covars): 0.00027
PGS R2 (no covariates): 0.00015
PGS AUROC (no covariates): 0.50748 [0.49816, 0.51681]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007981 PGS001044
(GBE_BIN_FC2006179)
PSS003867|
South Asian Ancestry|
7,537 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Glucosamine AUROC: 0.68783 [0.66995, 0.70572] : 0.08959
Incremental AUROC (full-covars): -3e-05
PGS R2 (no covariates): 0.00049
PGS AUROC (no covariates): 0.51694 [0.49696, 0.53692]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007982 PGS001044
(GBE_BIN_FC2006179)
PSS003868|
European Ancestry|
67,317 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Glucosamine AUROC: 0.62303 [0.61791, 0.62815] : 0.04569
Incremental AUROC (full-covars): 0.00058
PGS R2 (no covariates): 0.00054
PGS AUROC (no covariates): 0.51206 [0.50661, 0.51751]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007983 PGS001045
(GBE_BIN_FC6006155)
PSS003999|
African Ancestry|
3,802 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Vitamin B9 vs no supplement AUROC: 0.68475 [0.6556, 0.71389] : 0.07709
Incremental AUROC (full-covars): 0.00076
PGS R2 (no covariates): 0.00131
PGS AUROC (no covariates): 0.51314 [0.47991, 0.54637]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007984 PGS001045
(GBE_BIN_FC6006155)
PSS004000|
East Asian Ancestry|
1,075 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Vitamin B9 vs no supplement AUROC: 0.66251 [0.57516, 0.74987] : 0.04224
Incremental AUROC (full-covars): -0.0024
PGS R2 (no covariates): 0.0034
PGS AUROC (no covariates): 0.46196 [0.35805, 0.56587]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007985 PGS001045
(GBE_BIN_FC6006155)
PSS004001|
European Ancestry|
16,782 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Vitamin B9 vs no supplement AUROC: 0.63092 [0.61318, 0.64866] : 0.0323
Incremental AUROC (full-covars): 0.00015
PGS R2 (no covariates): 0.00013
PGS AUROC (no covariates): 0.50968 [0.49066, 0.5287]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007986 PGS001045
(GBE_BIN_FC6006155)
PSS004002|
South Asian Ancestry|
5,037 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Vitamin B9 vs no supplement AUROC: 0.68137 [0.6527, 0.71004] : 0.0652
Incremental AUROC (full-covars): 0.0012
PGS R2 (no covariates): 0.00092
PGS AUROC (no covariates): 0.50692 [0.47257, 0.54128]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007987 PGS001045
(GBE_BIN_FC6006155)
PSS004003|
European Ancestry|
48,662 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Vitamin B9 vs no supplement AUROC: 0.59438 [0.58013, 0.60863] : 0.01363
Incremental AUROC (full-covars): 0.00464
PGS R2 (no covariates): 0.00209
PGS AUROC (no covariates): 0.52811 [0.5127, 0.54352]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007988 PGS001046
(GBE_BIN_FC40001249)
PSS003919|
African Ancestry|
5,926 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked at least once) AUROC: 0.66013 [0.64587, 0.67439] : 0.09483
Incremental AUROC (full-covars): -0.00813
PGS R2 (no covariates): 0.00042
PGS AUROC (no covariates): 0.48937 [0.47391, 0.50483]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007989 PGS001046
(GBE_BIN_FC40001249)
PSS003920|
East Asian Ancestry|
1,577 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked at least once) AUROC: 0.67494 [0.64523, 0.70464] : 0.12932
Incremental AUROC (full-covars): 0.00219
PGS R2 (no covariates): 0.00369
PGS AUROC (no covariates): 0.53021 [0.49937, 0.56105]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007990 PGS001046
(GBE_BIN_FC40001249)
PSS003921|
European Ancestry|
22,450 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked at least once) AUROC: 0.59705 [0.58934, 0.60476] : 0.03706
Incremental AUROC (full-covars): 0.01391
PGS R2 (no covariates): 0.00997
PGS AUROC (no covariates): 0.55171 [0.54388, 0.55954]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007991 PGS001046
(GBE_BIN_FC40001249)
PSS003922|
South Asian Ancestry|
7,192 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked at least once) AUROC: 0.74129 [0.72884, 0.75373] : 0.20316
Incremental AUROC (full-covars): 0.00744
PGS R2 (no covariates): 0.00794
PGS AUROC (no covariates): 0.54619 [0.53131, 0.56108]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007992 PGS001046
(GBE_BIN_FC40001249)
PSS003923|
European Ancestry|
62,410 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked at least once) AUROC: 0.61588 [0.61146, 0.6203] : 0.05447
Incremental AUROC (full-covars): 0.01564
PGS R2 (no covariates): 0.01446
PGS AUROC (no covariates): 0.55938 [0.55485, 0.56391]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007993 PGS001047
(GBE_BIN_FC20001249)
PSS003805|
African Ancestry|
5,926 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked occasionally) AUROC: 0.58093 [0.55858, 0.60327] : 0.01829
Incremental AUROC (full-covars): -0.05921
PGS R2 (no covariates): 0.00064
PGS AUROC (no covariates): 0.49651 [0.47342, 0.51961]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007994 PGS001047
(GBE_BIN_FC20001249)
PSS003806|
East Asian Ancestry|
1,577 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked occasionally) AUROC: 0.68329 [0.63933, 0.72724] : 0.07701
Incremental AUROC (full-covars): 0.00274
PGS R2 (no covariates): 0.00038
PGS AUROC (no covariates): 0.50548 [0.45563, 0.55533]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007995 PGS001047
(GBE_BIN_FC20001249)
PSS003807|
European Ancestry|
22,450 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked occasionally) AUROC: 0.58823 [0.5791, 0.59736] : 0.0603
Incremental AUROC (full-covars): 0.00694
PGS R2 (no covariates): 0.00257
PGS AUROC (no covariates): 0.52958 [0.5197, 0.53945]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007996 PGS001047
(GBE_BIN_FC20001249)
PSS003808|
South Asian Ancestry|
7,192 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked occasionally) AUROC: 0.70233 [0.68241, 0.72224] : 0.09047
Incremental AUROC (full-covars): 0.00461
PGS R2 (no covariates): 0.00302
PGS AUROC (no covariates): 0.53831 [0.51304, 0.56357]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007997 PGS001047
(GBE_BIN_FC20001249)
PSS003809|
European Ancestry|
62,410 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Past tobacco smoking (Smoked occasionally) AUROC: 0.59787 [0.59205, 0.6037] : 0.06
Incremental AUROC (full-covars): 0.01786
PGS R2 (no covariates): 0.00491
PGS AUROC (no covariates): 0.54138 [0.53499, 0.54777]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008018 PGS001052
(GBE_INI1050)
PSS004786|
African Ancestry|
5,250 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Time spend outdoors in summer : 0.01643 [0.0103, 0.02256]
Incremental R2 (full-covars): -0.00169
PGS R2 (no covariates): 0.00077 [-0.00058, 0.00213]
age, sex, UKB array type, Genotype PCs
PPM008019 PGS001052
(GBE_INI1050)
PSS004787|
East Asian Ancestry|
1,276 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Time spend outdoors in summer : 0.02297 [0.00894, 0.037]
Incremental R2 (full-covars): -0.0142
PGS R2 (no covariates): 0.00141 [-0.00214, 0.00497]
age, sex, UKB array type, Genotype PCs
PPM008020 PGS001052
(GBE_INI1050)
PSS004788|
European Ancestry|
22,460 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Time spend outdoors in summer : 0.05435 [0.04887, 0.05982]
Incremental R2 (full-covars): 0.00811
PGS R2 (no covariates): 0.01058 [0.00805, 0.01311]
age, sex, UKB array type, Genotype PCs
PPM008021 PGS001052
(GBE_INI1050)
PSS004789|
South Asian Ancestry|
6,295 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Time spend outdoors in summer : 0.02272 [0.0162, 0.02924]
Incremental R2 (full-covars): -0.00041
PGS R2 (no covariates): 0.00225 [0.00015, 0.00435]
age, sex, UKB array type, Genotype PCs
PPM008022 PGS001052
(GBE_INI1050)
PSS004790|
European Ancestry|
61,863 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Time spend outdoors in summer : 0.05766 [0.05425, 0.06108]
Incremental R2 (full-covars): 0.01124
PGS R2 (no covariates): 0.01129 [0.0097, 0.01287]
age, sex, UKB array type, Genotype PCs
PPM008023 PGS001053
(GBE_INI1060)
PSS004791|
African Ancestry|
4,650 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Outdoor time, winter : 0.02027 [0.01349, 0.02705]
Incremental R2 (full-covars): -0.00026
PGS R2 (no covariates): 0.00041 [-0.00057, 0.0014]
age, sex, UKB array type, Genotype PCs
PPM008024 PGS001053
(GBE_INI1060)
PSS004792|
East Asian Ancestry|
1,039 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Outdoor time, winter : 0.03301 [0.01636, 0.04966]
Incremental R2 (full-covars): -0.00819
PGS R2 (no covariates): 0.00254 [-0.00222, 0.0073]
age, sex, UKB array type, Genotype PCs
PPM008025 PGS001053
(GBE_INI1060)
PSS004793|
European Ancestry|
19,562 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Outdoor time, winter : 0.05221 [0.04683, 0.05759]
Incremental R2 (full-covars): 0.00205
PGS R2 (no covariates): 0.00265 [0.00137, 0.00392]
age, sex, UKB array type, Genotype PCs
PPM008026 PGS001053
(GBE_INI1060)
PSS004794|
South Asian Ancestry|
5,444 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Outdoor time, winter : 0.02181 [0.01542, 0.02821]
Incremental R2 (full-covars): 0.00149
PGS R2 (no covariates): 0.00143 [-0.00024, 0.0031]
age, sex, UKB array type, Genotype PCs
PPM008027 PGS001053
(GBE_INI1060)
PSS004795|
European Ancestry|
54,472 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Outdoor time, winter : 0.04573 [0.04264, 0.04881]
Incremental R2 (full-covars): 0.00414
PGS R2 (no covariates): 0.0041 [0.00314, 0.00507]
age, sex, UKB array type, Genotype PCs
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
PSS003919
[
  • 2,092 cases
  • , 3,834 controls
]
African unspecified UKB
PSS003920
[
  • 495 cases
  • , 1,082 controls
]
East Asian UKB
PSS003921
[
  • 14,474 cases
  • , 7,976 controls
]
European non-white British ancestry UKB
PSS003922
[
  • 1,964 cases
  • , 5,228 controls
]
South Asian UKB
PSS003923
[
  • 35,715 cases
  • , 26,695 controls
]
European white British ancestry UKB Testing cohort (heldout set)
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
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)
PSS003805
[
  • 743 cases
  • , 5,183 controls
]
African unspecified UKB
PSS003806
[
  • 152 cases
  • , 1,425 controls
]
East Asian UKB
PSS003807
[
  • 4,013 cases
  • , 18,437 controls
]
European non-white British ancestry UKB
PSS003808
[
  • 570 cases
  • , 6,622 controls
]
South Asian UKB
PSS003809
[
  • 9,036 cases
  • , 53,374 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
PSS003833
[
  • 2,556 cases
  • , 4,840 controls
]
South Asian UKB
PSS003834
[
  • 23,767 cases
  • , 43,620 controls
]
European white British ancestry UKB Testing cohort (heldout set)
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)
PSS003864
[
  • 842 cases
  • , 5,492 controls
]
African unspecified UKB
PSS003865
[
  • 334 cases
  • , 1,317 controls
]
East Asian UKB
PSS003866
[
  • 4,457 cases
  • , 20,363 controls
]
European non-white British ancestry UKB
PSS003867
[
  • 926 cases
  • , 6,611 controls
]
South Asian UKB
PSS003868
[
  • 13,703 cases
  • , 53,614 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS003999
[
  • 327 cases
  • , 3,475 controls
]
African unspecified UKB
PSS004000
[
  • 34 cases
  • , 1,041 controls
]
East Asian UKB
PSS004001
[
  • 922 cases
  • , 15,860 controls
]
European non-white British ancestry UKB
PSS004002
[
  • 311 cases
  • , 4,726 controls
]
South Asian UKB
PSS004003
[
  • 1,485 cases
  • , 47,177 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004786 5,250 individuals African unspecified UKB
PSS004787 1,276 individuals East Asian UKB
PSS004788 22,460 individuals European non-white British ancestry UKB
PSS004789 6,295 individuals South Asian UKB
PSS004790 61,863 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS004791 4,650 individuals African unspecified UKB
PSS004792 1,039 individuals East Asian UKB
PSS004793 19,562 individuals European non-white British ancestry UKB
PSS004794 5,444 individuals South Asian UKB
PSS004795 54,472 individuals European white British ancestry UKB Testing cohort (heldout set)