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) | 4 child traits |
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 |
PGS001044 (GBE_BIN_FC2006179) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
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. PLoS Genet (2022) |
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. PLoS Genet (2022) |
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. PLoS Genet (2022) |
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. 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 |
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] | R²: 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] | R²: 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] | R²: 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 R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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. PLoS Genet (2022) |
Reported Trait: Glucosamine | — | AUROC: 0.65622 [0.63608, 0.67636] | R²: 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. PLoS Genet (2022) |
Reported Trait: Glucosamine | — | AUROC: 0.68295 [0.65155, 0.71435] | R²: 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. PLoS Genet (2022) |
Reported Trait: Glucosamine | — | AUROC: 0.63822 [0.62937, 0.64707] | R²: 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. PLoS Genet (2022) |
Reported Trait: Glucosamine | — | AUROC: 0.68783 [0.66995, 0.70572] | R²: 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. PLoS Genet (2022) |
Reported Trait: Glucosamine | — | AUROC: 0.62303 [0.61791, 0.62815] | R²: 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. PLoS Genet (2022) |
Reported Trait: Vitamin B9 vs no supplement | — | AUROC: 0.68475 [0.6556, 0.71389] | R²: 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. PLoS Genet (2022) |
Reported Trait: Vitamin B9 vs no supplement | — | AUROC: 0.66251 [0.57516, 0.74987] | R²: 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. PLoS Genet (2022) |
Reported Trait: Vitamin B9 vs no supplement | — | AUROC: 0.63092 [0.61318, 0.64866] | R²: 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. PLoS Genet (2022) |
Reported Trait: Vitamin B9 vs no supplement | — | AUROC: 0.68137 [0.6527, 0.71004] | R²: 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. PLoS Genet (2022) |
Reported Trait: Vitamin B9 vs no supplement | — | AUROC: 0.59438 [0.58013, 0.60863] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked at least once) | — | AUROC: 0.66013 [0.64587, 0.67439] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked at least once) | — | AUROC: 0.67494 [0.64523, 0.70464] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked at least once) | — | AUROC: 0.59705 [0.58934, 0.60476] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked at least once) | — | AUROC: 0.74129 [0.72884, 0.75373] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked at least once) | — | AUROC: 0.61588 [0.61146, 0.6203] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked occasionally) | — | AUROC: 0.58093 [0.55858, 0.60327] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked occasionally) | — | AUROC: 0.68329 [0.63933, 0.72724] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked occasionally) | — | AUROC: 0.58823 [0.5791, 0.59736] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked occasionally) | — | AUROC: 0.70233 [0.68241, 0.72224] | R²: 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. PLoS Genet (2022) |
Reported Trait: Past tobacco smoking (Smoked occasionally) | — | AUROC: 0.59787 [0.59205, 0.6037] | R²: 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. PLoS Genet (2022) |
Reported Trait: Time spend outdoors in summer | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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 | — |
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 | — |
PSS003919 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003920 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003921 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003922 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003923 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS003929 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003930 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003931 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003932 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003933 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS003805 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003806 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003807 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003808 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003809 | — | — | [
|
— | 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 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003831 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003832 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003833 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003834 | — | — | [
|
— | 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 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003717 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003718 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003719 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003720 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS003864 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003865 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003866 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003867 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003868 | — | — | [
|
— | 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 | — |
PSS003999 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004000 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004001 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004002 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004003 | — | — | [
|
— | 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) |