Trait: time spent outdoors measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0600081
Description Quantification of time an individual spends outside.
Trait category
Other measurement
Mapped terms 3 mapped terms
  • https://biobank.ndph.ox.ac.uk/crystal/field.cgi?id=1050
  • https://biobank.ndph.ox.ac.uk/crystal/field.cgi?id=1060
  • https://doi.org/10.1101/2021.09.02.21262942
Child trait(s) sun exposure measurement

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 "time spent outdoors 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
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS000980
(GBE_BIN_FC40002267)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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. PLoS Genet (2022)
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
PGS001052
(GBE_INI1050)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Time spend outdoors in summer time spent outdoors 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. PLoS Genet (2022)
Time spend outdoors in winter time spent outdoors 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. PLoS Genet (2022)
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
PGS001993
(portability-PLR_more_sunscreen)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Use of sun/uv protection sun exposure measurement 17,282
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001993/ScoringFiles/PGS001993.txt.gz
PGS002210
(portability-ldpred2_more_sunscreen)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Use of sun/uv protection sun exposure measurement 821,654
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002210/ScoringFiles/PGS002210.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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
Reported Trait: Use of sun/uv protection (Always) AUROC: 0.63507 [0.60805, 0.6621] PGS R2 (no covariates): 0.00075
: 0.03575
Incremental AUROC (full-covars): -0.00025
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
Reported Trait: Use of sun/uv protection (Never/rarely) AUROC: 0.61231 [0.59955, 0.62507] : 0.05067
Incremental AUROC (full-covars): -0.00303
PGS R2 (no covariates): 0.00035
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. PLoS Genet (2022)
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
PPM008018 PGS001052
(GBE_INI1050)
PSS004786|
African Ancestry|
5,250 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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
PPM008024 PGS001053
(GBE_INI1060)
PSS004792|
East Asian Ancestry|
1,039 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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
PPM008023 PGS001053
(GBE_INI1060)
PSS004791|
African Ancestry|
4,650 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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
PPM008025 PGS001053
(GBE_INI1060)
PSS004793|
European Ancestry|
19,562 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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
PPM010819 PGS001993
(portability-PLR_more_sunscreen)
PSS009476|
European Ancestry|
19,837 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.1345 [0.1208, 0.1482] sex, age, birth date, deprivation index, 16 PCs
PPM010820 PGS001993
(portability-PLR_more_sunscreen)
PSS009250|
European Ancestry|
4,075 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0842 [0.0536, 0.1147] sex, age, birth date, deprivation index, 16 PCs
PPM010822 PGS001993
(portability-PLR_more_sunscreen)
PSS008578|
Greater Middle Eastern Ancestry|
1,095 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0891 [0.0295, 0.1481] sex, age, birth date, deprivation index, 16 PCs
PPM010823 PGS001993
(portability-PLR_more_sunscreen)
PSS008356|
South Asian Ancestry|
5,836 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0425 [0.0168, 0.0681] sex, age, birth date, deprivation index, 16 PCs
PPM010824 PGS001993
(portability-PLR_more_sunscreen)
PSS008133|
East Asian Ancestry|
1,733 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.049 [0.0016, 0.0961] sex, age, birth date, deprivation index, 16 PCs
PPM010825 PGS001993
(portability-PLR_more_sunscreen)
PSS007920|
African Ancestry|
2,375 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0296 [-0.0108, 0.0699] sex, age, birth date, deprivation index, 16 PCs
PPM010826 PGS001993
(portability-PLR_more_sunscreen)
PSS009024|
African Ancestry|
3,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0233 [-0.0092, 0.0558] sex, age, birth date, deprivation index, 16 PCs
PPM010821 PGS001993
(portability-PLR_more_sunscreen)
PSS008804|
European Ancestry|
6,569 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0951 [0.0711, 0.1191] sex, age, birth date, deprivation index, 16 PCs
PPM012527 PGS002210
(portability-ldpred2_more_sunscreen)
PSS009476|
European Ancestry|
19,837 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.15 [0.1363, 0.1636] sex, age, birth date, deprivation index, 16 PCs
PPM012528 PGS002210
(portability-ldpred2_more_sunscreen)
PSS009250|
European Ancestry|
4,075 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0944 [0.0638, 0.1248] sex, age, birth date, deprivation index, 16 PCs
PPM012529 PGS002210
(portability-ldpred2_more_sunscreen)
PSS008804|
European Ancestry|
6,569 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.1201 [0.0962, 0.1439] sex, age, birth date, deprivation index, 16 PCs
PPM012530 PGS002210
(portability-ldpred2_more_sunscreen)
PSS008578|
Greater Middle Eastern Ancestry|
1,095 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.1117 [0.0522, 0.1703] sex, age, birth date, deprivation index, 16 PCs
PPM012531 PGS002210
(portability-ldpred2_more_sunscreen)
PSS008356|
South Asian Ancestry|
5,836 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.051 [0.0253, 0.0766] sex, age, birth date, deprivation index, 16 PCs
PPM012532 PGS002210
(portability-ldpred2_more_sunscreen)
PSS008133|
East Asian Ancestry|
1,733 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0415 [-0.0059, 0.0887] sex, age, birth date, deprivation index, 16 PCs
PPM012533 PGS002210
(portability-ldpred2_more_sunscreen)
PSS007920|
African Ancestry|
2,375 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.013 [-0.0274, 0.0534] sex, age, birth date, deprivation index, 16 PCs
PPM012534 PGS002210
(portability-ldpred2_more_sunscreen)
PSS009024|
African Ancestry|
3,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Use of sun/uv protection Partial Correlation (partial-r): 0.0304 [-0.0021, 0.0628] sex, age, birth date, deprivation index, 16 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
PSS008133 1,733 individuals East Asian China (East Asia) 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
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)
PSS008804 6,569 individuals European Italy (South Europe) UKB
PSS009024 3,660 individuals African unspecified Nigeria (West Africa) UKB
PSS007920 2,375 individuals African American or Afro-Caribbean Carribean UKB
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)
PSS008578 1,095 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009476 19,837 individuals European UK (+ Ireland) 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)
PSS009250 4,075 individuals European Poland (NE Europe) UKB
PSS008356 5,836 individuals South Asian India (South Asia) UKB
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)