Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0005671 |
Description | the quantification of some smoking or smoking-related behaviour, usually self-reported via a questionnaire | Trait category |
Other measurement
|
Child trait(s) | 3 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) |
---|---|---|---|---|---|---|
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 |
PGS001127 (GBE_BIN_FC10020116) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Never Smoker | smoking status measurement | 12,310 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001127/ScoringFiles/PGS001127.txt.gz |
PGS001128 (GBE_BIN_FC20020116) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Previous smoker | smoking status measurement | 4,348 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001128/ScoringFiles/PGS001128.txt.gz |
PGS001129 (GBE_BIN_FC30022506) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Smoking status (ever vs never smokers) | smoking status measurement | 974 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001129/ScoringFiles/PGS001129.txt.gz |
PGS001130 (GBE_INI2887) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Number of cigarettes previously smoked per day | cigarettes per day measurement | 725 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001130/ScoringFiles/PGS001130.txt.gz |
PGS001139 (GBE_BIN_FC10002644) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Light smokers, at least 100 smokes in lifetime | smoking behaviour measurement | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001139/ScoringFiles/PGS001139.txt.gz |
PGS001388 (GBE_QT_FC10003476) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Difficulty not smoking for 1 day | smoking behaviour measurement | 1 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001388/ScoringFiles/PGS001388.txt.gz |
PGS001515 (GBE_INI3456) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Number of cigarettes currently smoked daily (current cigarette smokers) | cigarettes per day measurement | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001515/ScoringFiles/PGS001515.txt.gz |
PGS001532 (GBE_QT_FC10003466) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Time from waking to first cigarette | smoking behaviour measurement | 86 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001532/ScoringFiles/PGS001532.txt.gz |
PGS001911 (portability-PLR_ever_smoked) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ever smoked | smoking status measurement | 41,266 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001911/ScoringFiles/PGS001911.txt.gz |
PGS002126 (portability-ldpred2_ever_smoked) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ever smoked | smoking status measurement | 931,635 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002126/ScoringFiles/PGS002126.txt.gz |
PGS002348 (cov_SMOKING_STATUS.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002348/ScoringFiles/PGS002348.txt.gz |
PGS002375 (cov_SMOKING_STATUS.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 920,934 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002375/ScoringFiles/PGS002375.txt.gz |
PGS002420 (cov_SMOKING_STATUS.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 3,874 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002420/ScoringFiles/PGS002420.txt.gz |
PGS002469 (cov_SMOKING_STATUS.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 17,774 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002469/ScoringFiles/PGS002469.txt.gz |
PGS002518 (cov_SMOKING_STATUS.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 106,902 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002518/ScoringFiles/PGS002518.txt.gz |
PGS002567 (cov_SMOKING_STATUS.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 517 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002567/ScoringFiles/PGS002567.txt.gz |
PGS002616 (cov_SMOKING_STATUS.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 201 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002616/ScoringFiles/PGS002616.txt.gz |
PGS002665 (cov_SMOKING_STATUS.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 340,836 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002665/ScoringFiles/PGS002665.txt.gz |
PGS002714 (cov_SMOKING_STATUS.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Smoking status | smoking status measurement | 981,081 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002714/ScoringFiles/PGS002714.txt.gz |
PGS003044 (ExPRSweb_Smoking_20116-1_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 520,707 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003044/ScoringFiles/PGS003044.txt.gz | |
PGS003045 (ExPRSweb_Smoking_20116-1_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 14,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003045/ScoringFiles/PGS003045.txt.gz | |
PGS003046 (ExPRSweb_Smoking_20116-1_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 27,004 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003046/ScoringFiles/PGS003046.txt.gz | |
PGS003047 (ExPRSweb_Smoking_20116-1_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 7,075,957 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003047/ScoringFiles/PGS003047.txt.gz | |
PGS003048 (ExPRSweb_Smoking_20116-1_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003048/ScoringFiles/PGS003048.txt.gz | |
PGS003049 (ExPRSweb_Smoking_20116-2_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 515,021 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003049/ScoringFiles/PGS003049.txt.gz | |
PGS003050 (ExPRSweb_Smoking_20116-2_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 1,485 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003050/ScoringFiles/PGS003050.txt.gz | |
PGS003051 (ExPRSweb_Smoking_20116-2_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 2,146 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003051/ScoringFiles/PGS003051.txt.gz | |
PGS003052 (ExPRSweb_Smoking_20116-2_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 6,575,783 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003052/ScoringFiles/PGS003052.txt.gz | |
PGS003053 (ExPRSweb_Smoking_20116-2_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003053/ScoringFiles/PGS003053.txt.gz | |
PGS003054 (ExPRSweb_Smoking_20160_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 595,975 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003054/ScoringFiles/PGS003054.txt.gz | |
PGS003055 (ExPRSweb_Smoking_20160_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 8,787 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003055/ScoringFiles/PGS003055.txt.gz | |
PGS003056 (ExPRSweb_Smoking_20160_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 14,184 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003056/ScoringFiles/PGS003056.txt.gz | |
PGS003057 (ExPRSweb_Smoking_20160_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 7,433,494 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003057/ScoringFiles/PGS003057.txt.gz | |
PGS003058 (ExPRSweb_Smoking_20160_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003058/ScoringFiles/PGS003058.txt.gz | |
PGS003059 (ExPRSweb_Smoking_SmokingInitiation_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 641,463 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003059/ScoringFiles/PGS003059.txt.gz | |
PGS003060 (ExPRSweb_Smoking_SmokingInitiation_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 8,148 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003060/ScoringFiles/PGS003060.txt.gz | |
PGS003061 (ExPRSweb_Smoking_SmokingInitiation_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 15,848 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003061/ScoringFiles/PGS003061.txt.gz | |
PGS003062 (ExPRSweb_Smoking_SmokingInitiation_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 355 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003062/ScoringFiles/PGS003062.txt.gz | |
PGS003063 (ExPRSweb_Smoking_SmokingInitiation_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 1,109,786 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003063/ScoringFiles/PGS003063.txt.gz | |
PGS003064 (ExPRSweb_Smoking_SmokingInitiation_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 642,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003064/ScoringFiles/PGS003064.txt.gz | |
PGS003065 (ExPRSweb_Smoking_SmokingInitiation_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 17,138 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003065/ScoringFiles/PGS003065.txt.gz | |
PGS003066 (ExPRSweb_Smoking_SmokingInitiation_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 39,469 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003066/ScoringFiles/PGS003066.txt.gz | |
PGS003067 (ExPRSweb_Smoking_SmokingInitiation_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 244 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003067/ScoringFiles/PGS003067.txt.gz | |
PGS003068 (ExPRSweb_Smoking_SmokingInitiation_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Smoking status | smoking status measurement | 1,110,662 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003068/ScoringFiles/PGS003068.txt.gz | |
PGS003365 (GSCAN_CigDay_2022_PRS_WEIGHTS_AFR) |
PGP000410 | Saunders GRB et al. Nature (2022) |
Cigarettes smoked per day | cigarettes per day measurement | 1,196,168 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003365/ScoringFiles/PGS003365.txt.gz |
PGS003366 (GSCAN_CigDay_2022_PRS_WEIGHTS_AMR) |
PGP000410 | Saunders GRB et al. Nature (2022) |
Cigarettes smoked per day | cigarettes per day measurement | 1,112,206 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003366/ScoringFiles/PGS003366.txt.gz |
PGS003367 (GSCAN_CigDay_2022_PRS_WEIGHTS_EAS) |
PGP000410 | Saunders GRB et al. Nature (2022) |
Cigarettes smoked per day | cigarettes per day measurement | 858,414 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003367/ScoringFiles/PGS003367.txt.gz |
PGS003368 (GSCAN_CigDay_2022_PRS_WEIGHTS_EUR) |
PGP000410 | Saunders GRB et al. Nature (2022) |
Cigarettes smoked per day | cigarettes per day measurement | 1,055,811 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003368/ScoringFiles/PGS003368.txt.gz |
PGS003748 (GRS46_CPD) |
PGP000471 | Tran JH et al. Transl Vis Sci Technol (2023) |
Cigarettes smoked per day | cigarettes per day measurement | 46 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003748/ScoringFiles/PGS003748.txt.gz |
PGS004164 (PRS16_LC) |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Lung cancer in never smokers | lung carcinoma, smoking status measurement |
16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004164/ScoringFiles/PGS004164.txt.gz |
PGS004751 (current_smoker_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Current smoker | smoking status measurement | 1,076,735 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004751/ScoringFiles/PGS004751.txt.gz |
PGS004752 (current_smoker_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Current smoker | smoking status measurement | 4,496,606 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004752/ScoringFiles/PGS004752.txt.gz |
PGS004753 (current_smoker_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Current smoker | smoking status measurement | 5,469,505 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004753/ScoringFiles/PGS004753.txt.gz |
PGS004754 (current_smoker_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Current smoker | smoking status measurement | 4,496,606 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004754/ScoringFiles/PGS004754.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 |
---|---|---|---|---|---|---|---|---|---|
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 |
PPM008363 | PGS001127 (GBE_BIN_FC10020116) |
PSS003750| African Ancestry| 6,390 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Never Smoker | — | AUROC: 0.65929 [0.64485, 0.67373] | R²: 0.08669 Incremental AUROC (full-covars): -0.00756 PGS R2 (no covariates): 0.00049 PGS AUROC (no covariates): 0.51037 [0.49458, 0.52616] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008364 | PGS001127 (GBE_BIN_FC10020116) |
PSS003751| East Asian Ancestry| 1,661 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Never Smoker | — | AUROC: 0.71794 [0.68736, 0.74851] | R²: 0.15281 Incremental AUROC (full-covars): 0.00859 PGS R2 (no covariates): 0.00367 PGS AUROC (no covariates): 0.53548 [0.50244, 0.56852] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008365 | PGS001127 (GBE_BIN_FC10020116) |
PSS003752| European Ancestry| 24,816 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Never Smoker | — | AUROC: 0.60529 [0.5983, 0.61228] | R²: 0.04529 Incremental AUROC (full-covars): 0.0311 PGS R2 (no covariates): 0.02383 PGS AUROC (no covariates): 0.57608 [0.56899, 0.58317] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008366 | PGS001127 (GBE_BIN_FC10020116) |
PSS003753| South Asian Ancestry| 7,615 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Never Smoker | — | AUROC: 0.7532 [0.74067, 0.76574] | R²: 0.20415 Incremental AUROC (full-covars): 0.01888 PGS R2 (no covariates): 0.01842 PGS AUROC (no covariates): 0.5755 [0.55967, 0.59134] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008367 | PGS001127 (GBE_BIN_FC10020116) |
PSS003754| European Ancestry| 67,212 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Never Smoker | — | AUROC: 0.62158 [0.61735, 0.62581] | R²: 0.06047 Incremental AUROC (full-covars): 0.03481 PGS R2 (no covariates): 0.03106 PGS AUROC (no covariates): 0.58693 [0.58262, 0.59123] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008368 | PGS001128 (GBE_BIN_FC20020116) |
PSS003844| African Ancestry| 6,390 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Previous Smoker | — | AUROC: 0.62818 [0.61021, 0.64615] | R²: 0.04625 Incremental AUROC (full-covars): -0.00333 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.49819 [0.47898, 0.5174] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008369 | PGS001128 (GBE_BIN_FC20020116) |
PSS003845| East Asian Ancestry| 1,661 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Previous Smoker | — | AUROC: 0.70433 [0.66805, 0.74061] | PGS R2 (no covariates): 0.00293 R²: 0.11247 Incremental AUROC (full-covars): -0.00189 PGS AUROC (no covariates): 0.5352 [0.49491, 0.57548] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008370 | PGS001128 (GBE_BIN_FC20020116) |
PSS003846| European Ancestry| 24,816 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Previous Smoker | — | AUROC: 0.59213 [0.58495, 0.59931] | R²: 0.03309 Incremental AUROC (full-covars): 0.00528 PGS R2 (no covariates): 0.0046 PGS AUROC (no covariates): 0.53522 [0.5279, 0.54253] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008371 | PGS001128 (GBE_BIN_FC20020116) |
PSS003847| South Asian Ancestry| 7,615 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Previous Smoker | — | AUROC: 0.73887 [0.72262, 0.75511] | R²: 0.14448 Incremental AUROC (full-covars): 0.00362 PGS R2 (no covariates): 0.00301 PGS AUROC (no covariates): 0.53352 [0.51394, 0.55311] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008372 | PGS001128 (GBE_BIN_FC20020116) |
PSS003848| European Ancestry| 67,212 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Previous Smoker | — | AUROC: 0.61185 [0.60741, 0.61629] | R²: 0.04715 Incremental AUROC (full-covars): 0.01019 PGS R2 (no covariates): 0.0091 PGS AUROC (no covariates): 0.5477 [0.54318, 0.55223] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008373 | PGS001129 (GBE_BIN_FC30022506) |
PSS003904| African Ancestry| 511 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Tobacco smoking ever vs no | — | AUROC: 0.6456 [0.59467, 0.69652] | R²: 0.08383 Incremental AUROC (full-covars): -0.01967 PGS R2 (no covariates): 0.01985 PGS AUROC (no covariates): 0.42965 [0.37629, 0.483] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008374 | PGS001129 (GBE_BIN_FC30022506) |
PSS003905| East Asian Ancestry| 243 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Tobacco smoking ever vs no | — | AUROC: 0.72543 [0.64779, 0.80307] | R²: 0.18478 Incremental AUROC (full-covars): 0.00769 PGS R2 (no covariates): 0.02947 PGS AUROC (no covariates): 0.59444 [0.50179, 0.6871] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008375 | PGS001129 (GBE_BIN_FC30022506) |
PSS003906| European Ancestry| 5,929 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Tobacco smoking ever vs no | — | AUROC: 0.59066 [0.5762, 0.60512] | R²: 0.03312 Incremental AUROC (full-covars): 0.00637 PGS R2 (no covariates): 0.00344 PGS AUROC (no covariates): 0.52696 [0.51226, 0.54167] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008376 | PGS001129 (GBE_BIN_FC30022506) |
PSS003907| South Asian Ancestry| 699 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Tobacco smoking ever vs no | — | AUROC: 0.69293 [0.64829, 0.73757] | R²: 0.12848 Incremental AUROC (full-covars): 0.00403 PGS R2 (no covariates): 0.00894 PGS AUROC (no covariates): 0.55217 [0.50411, 0.60023] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008377 | PGS001129 (GBE_BIN_FC30022506) |
PSS003908| European Ancestry| 17,150 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Tobacco smoking ever vs no | — | AUROC: 0.59861 [0.58997, 0.60724] | R²: 0.03796 Incremental AUROC (full-covars): 0.00411 PGS R2 (no covariates): 0.00371 PGS AUROC (no covariates): 0.52942 [0.52057, 0.53826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008378 | PGS001130 (GBE_INI2887) |
PSS006871| African Ancestry| 553 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes previously smoked daily | — | — | R²: 0.05257 [0.04201, 0.06313] Incremental R2 (full-covars): -0.00029 PGS R2 (no covariates): 0.00089 [-0.00056, 0.00234] |
age, sex, UKB array type, Genotype PCs | — |
PPM008379 | PGS001130 (GBE_INI2887) |
PSS006872| East Asian Ancestry| 122 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes previously smoked daily | — | — | R²: 0.20745 [0.17324, 0.24166] Incremental R2 (full-covars): -0.00582 PGS R2 (no covariates): 0.00074 [-0.00184, 0.00332] |
age, sex, UKB array type, Genotype PCs | — |
PPM008380 | PGS001130 (GBE_INI2887) |
PSS006873| European Ancestry| 6,735 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes previously smoked daily | — | — | R²: 0.10992 [0.10259, 0.11725] Incremental R2 (full-covars): 0.00885 PGS R2 (no covariates): 0.00973 [0.0073, 0.01215] |
age, sex, UKB array type, Genotype PCs | — |
PPM008381 | PGS001130 (GBE_INI2887) |
PSS006874| South Asian Ancestry| 585 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes previously smoked daily | — | — | R²: 0.0678 [0.05705, 0.07855] Incremental R2 (full-covars): -0.00447 PGS R2 (no covariates): 0.00066 [-0.00048, 0.0018] |
age, sex, UKB array type, Genotype PCs | — |
PPM008382 | PGS001130 (GBE_INI2887) |
PSS006875| European Ancestry| 15,927 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes previously smoked daily | — | — | R²: 0.0979 [0.09364, 0.10216] Incremental R2 (full-covars): 0.0054 PGS R2 (no covariates): 0.00613 [0.00496, 0.00731] |
age, sex, UKB array type, Genotype PCs | — |
PPM008422 | PGS001139 (GBE_BIN_FC10002644) |
PSS003726| African Ancestry| 1,411 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Light smokers, at least 100 smokes in lifetime | — | AUROC: 0.60475 [0.57362, 0.63587] | R²: 0.04431 Incremental AUROC (full-covars): -0.00017 PGS R2 (no covariates): 0.00387 PGS AUROC (no covariates): 0.52025 [0.48862, 0.55188] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008423 | PGS001139 (GBE_BIN_FC10002644) |
PSS003727| East Asian Ancestry| 340 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Light smokers, at least 100 smokes in lifetime | — | AUROC: 0.72018 [0.66282, 0.77753] | R²: 0.18473 Incremental AUROC (full-covars): 0.00217 PGS R2 (no covariates): 0.0059 PGS AUROC (no covariates): 0.50127 [0.43399, 0.56856] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008424 | PGS001139 (GBE_BIN_FC10002644) |
PSS003728| European Ancestry| 7,260 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Light smokers, at least 100 smokes in lifetime | — | AUROC: 0.5677 [0.55413, 0.58127] | R²: 0.01989 Incremental AUROC (full-covars): 0.00081 PGS R2 (no covariates): 0.00134 PGS AUROC (no covariates): 0.51767 [0.50394, 0.5314] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008425 | PGS001139 (GBE_BIN_FC10002644) |
PSS003729| South Asian Ancestry| 1,269 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Light smokers, at least 100 smokes in lifetime | — | AUROC: 0.63663 [0.60494, 0.66832] | R²: 0.07807 Incremental AUROC (full-covars): 0.00531 PGS R2 (no covariates): 0.00278 PGS AUROC (no covariates): 0.5327 [0.49921, 0.56619] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008426 | PGS001139 (GBE_BIN_FC10002644) |
PSS003730| European Ancestry| 18,557 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Light smokers, at least 100 smokes in lifetime | — | AUROC: 0.57908 [0.57055, 0.58761] | R²: 0.02444 Incremental AUROC (full-covars): 0.00325 PGS R2 (no covariates): 0.00154 PGS AUROC (no covariates): 0.52034 [0.51172, 0.52897] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007240 | PGS001388 (GBE_QT_FC10003476) |
PSS007516| African Ancestry| 442 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Difficulty not smoking for 1 day | — | — | R²: 0.02875 [0.02075, 0.03676] Incremental R2 (full-covars): -0.00116 PGS R2 (no covariates): 0.00583 [0.00214, 0.00952] |
age, sex, UKB array type, Genotype PCs | — |
PPM007241 | PGS001388 (GBE_QT_FC10003476) |
PSS007517| East Asian Ancestry| 83 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Difficulty not smoking for 1 day | — | — | R²: 0.10272 [0.07547, 0.12998] Incremental R2 (full-covars): 0.00128 PGS R2 (no covariates): 0.00197 [-0.00223, 0.00617] |
age, sex, UKB array type, Genotype PCs | — |
PPM007242 | PGS001388 (GBE_QT_FC10003476) |
PSS007518| European Ancestry| 2,332 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Difficulty not smoking for 1 day | — | — | R²: 0.03812 [0.03345, 0.04278] Incremental R2 (full-covars): 0.00242 PGS R2 (no covariates): 0.00399 [0.00242, 0.00555] |
age, sex, UKB array type, Genotype PCs | — |
PPM007243 | PGS001388 (GBE_QT_FC10003476) |
PSS007519| South Asian Ancestry| 411 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Difficulty not smoking for 1 day | — | — | R²: 0.0459 [0.03685, 0.05495] Incremental R2 (full-covars): 0.00319 PGS R2 (no covariates): 0.00748 [0.00368, 0.01128] |
age, sex, UKB array type, Genotype PCs | — |
PPM007244 | PGS001388 (GBE_QT_FC10003476) |
PSS007520| European Ancestry| 4,595 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Difficulty not smoking for 1 day | — | — | R²: 0.02069 [0.01856, 0.02281] Incremental R2 (full-covars): 0.00258 PGS R2 (no covariates): 0.00561 [0.00449, 0.00674] |
age, sex, UKB array type, Genotype PCs | — |
PPM007085 | PGS001515 (GBE_INI3456) |
PSS007246| African Ancestry| 438 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes currently smoked daily (current cigarette smokers) | — | — | R²: 0.01822 [0.01178, 0.02466] Incremental R2 (full-covars): -0.00395 PGS R2 (no covariates): 0.00404 [0.00097, 0.00712] |
age, sex, UKB array type, Genotype PCs | — |
PPM007086 | PGS001515 (GBE_INI3456) |
PSS007247| East Asian Ancestry| 86 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes currently smoked daily (current cigarette smokers) | — | — | R²: 0.1229 [0.09376, 0.15204] Incremental R2 (full-covars): 0.00955 PGS R2 (no covariates): 0.02937 [0.01361, 0.04513] |
age, sex, UKB array type, Genotype PCs | — |
PPM007087 | PGS001515 (GBE_INI3456) |
PSS007248| European Ancestry| 2,329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes currently smoked daily (current cigarette smokers) | — | — | R²: 0.09619 [0.08923, 0.10315] Incremental R2 (full-covars): 0.00371 PGS R2 (no covariates): 0.00361 [0.00212, 0.0051] |
age, sex, UKB array type, Genotype PCs | — |
PPM007088 | PGS001515 (GBE_INI3456) |
PSS007249| South Asian Ancestry| 411 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes currently smoked daily (current cigarette smokers) | — | — | R²: 0.04868 [0.03939, 0.05797] Incremental R2 (full-covars): 0.01303 PGS R2 (no covariates): 0.01795 [0.01212, 0.02377] |
age, sex, UKB array type, Genotype PCs | — |
PPM007089 | PGS001515 (GBE_INI3456) |
PSS007250| European Ancestry| 4,562 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: # of cigarettes currently smoked daily (current cigarette smokers) | — | — | R²: 0.07868 [0.07478, 0.08258] Incremental R2 (full-covars): 0.00371 PGS R2 (no covariates): 0.00532 [0.00423, 0.00642] |
age, sex, UKB array type, Genotype PCs | — |
PPM007235 | PGS001532 (GBE_QT_FC10003466) |
PSS007511| African Ancestry| 436 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time from waking to first cigarette | — | — | R²: 0.02268 [0.01552, 0.02983] Incremental R2 (full-covars): -0.00073 PGS R2 (no covariates): 3e-05 [-0.00022, 0.00028] |
age, sex, UKB array type, Genotype PCs | — |
PPM007236 | PGS001532 (GBE_QT_FC10003466) |
PSS007512| East Asian Ancestry| 81 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time from waking to first cigarette | — | — | R²: 0.08524 [0.05993, 0.11055] Incremental R2 (full-covars): -0.00086 PGS R2 (no covariates): 8e-05 [-0.00076, 0.00091] |
age, sex, UKB array type, Genotype PCs | — |
PPM007237 | PGS001532 (GBE_QT_FC10003466) |
PSS007513| European Ancestry| 2,322 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time from waking to first cigarette | — | — | R²: 0.06234 [0.05652, 0.06815] Incremental R2 (full-covars): 0.00303 PGS R2 (no covariates): 0.004 [0.00244, 0.00557] |
age, sex, UKB array type, Genotype PCs | — |
PPM007238 | PGS001532 (GBE_QT_FC10003466) |
PSS007514| South Asian Ancestry| 400 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time from waking to first cigarette | — | — | R²: 0.05309 [0.04343, 0.06275] Incremental R2 (full-covars): 0.00544 PGS R2 (no covariates): 0.0094 [0.00514, 0.01365] |
age, sex, UKB array type, Genotype PCs | — |
PPM007239 | PGS001532 (GBE_QT_FC10003466) |
PSS007515| European Ancestry| 4,577 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time from waking to first cigarette | — | — | R²: 0.03007 [0.02753, 0.03261] Incremental R2 (full-covars): 0.0036 PGS R2 (no covariates): 0.00595 [0.00479, 0.00711] |
age, sex, UKB array type, Genotype PCs | — |
PPM010171 | PGS001911 (portability-PLR_ever_smoked) |
PSS009403| European Ancestry| 19,926 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.1289 [0.1152, 0.1426] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010172 | PGS001911 (portability-PLR_ever_smoked) |
PSS009177| European Ancestry| 4,104 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.1244 [0.0941, 0.1545] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010173 | PGS001911 (portability-PLR_ever_smoked) |
PSS008731| European Ancestry| 6,620 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.1351 [0.1114, 0.1587] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010175 | PGS001911 (portability-PLR_ever_smoked) |
PSS008283| South Asian Ancestry| 6,176 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.089 [0.0642, 0.1138] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010176 | PGS001911 (portability-PLR_ever_smoked) |
PSS008060| East Asian Ancestry| 1,787 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0908 [0.0443, 0.1368] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010177 | PGS001911 (portability-PLR_ever_smoked) |
PSS007847| African Ancestry| 2,443 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0425 [0.0027, 0.0822] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010178 | PGS001911 (portability-PLR_ever_smoked) |
PSS008951| African Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0157 [-0.016, 0.0473] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010174 | PGS001911 (portability-PLR_ever_smoked) |
PSS008505| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0944 [0.0363, 0.1518] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011863 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS009403| European Ancestry| 19,926 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.1431 [0.1295, 0.1567] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011870 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS008951| African Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0413 [0.0096, 0.0728] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011864 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS009177| European Ancestry| 4,104 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.1539 [0.1238, 0.1837] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011865 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS008731| European Ancestry| 6,620 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.1402 [0.1165, 0.1638] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011866 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS008505| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0972 [0.0392, 0.1546] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011867 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS008283| South Asian Ancestry| 6,176 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0991 [0.0743, 0.1237] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011868 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS008060| East Asian Ancestry| 1,787 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.1148 [0.0685, 0.1606] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011869 | PGS002126 (portability-ldpred2_ever_smoked) |
PSS007847| African Ancestry| 2,443 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ever smoked | — | — | Partial Correlation (partial-r): 0.0851 [0.0454, 0.1245] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM013113 | PGS002348 (cov_SMOKING_STATUS.BOLT-LMM) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0052 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013162 | PGS002348 (cov_SMOKING_STATUS.BOLT-LMM) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0032 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013211 | PGS002348 (cov_SMOKING_STATUS.BOLT-LMM) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0332 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013260 | PGS002348 (cov_SMOKING_STATUS.BOLT-LMM) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0126 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013287 | PGS002375 (cov_SMOKING_STATUS.BOLT-LMM-BBJ) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013310 | PGS002375 (cov_SMOKING_STATUS.BOLT-LMM-BBJ) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0014 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013333 | PGS002375 (cov_SMOKING_STATUS.BOLT-LMM-BBJ) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013356 | PGS002375 (cov_SMOKING_STATUS.BOLT-LMM-BBJ) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013401 | PGS002420 (cov_SMOKING_STATUS.P+T.0.0001) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013450 | PGS002420 (cov_SMOKING_STATUS.P+T.0.0001) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013499 | PGS002420 (cov_SMOKING_STATUS.P+T.0.0001) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0074 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013548 | PGS002420 (cov_SMOKING_STATUS.P+T.0.0001) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0028 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013597 | PGS002469 (cov_SMOKING_STATUS.P+T.0.001) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013646 | PGS002469 (cov_SMOKING_STATUS.P+T.0.001) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013695 | PGS002469 (cov_SMOKING_STATUS.P+T.0.001) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0039 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013744 | PGS002469 (cov_SMOKING_STATUS.P+T.0.001) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013793 | PGS002518 (cov_SMOKING_STATUS.P+T.0.01) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013842 | PGS002518 (cov_SMOKING_STATUS.P+T.0.01) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0006 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013891 | PGS002518 (cov_SMOKING_STATUS.P+T.0.01) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0042 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013940 | PGS002518 (cov_SMOKING_STATUS.P+T.0.01) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013989 | PGS002567 (cov_SMOKING_STATUS.P+T.1e-06) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014038 | PGS002567 (cov_SMOKING_STATUS.P+T.1e-06) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.009 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014087 | PGS002567 (cov_SMOKING_STATUS.P+T.1e-06) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014136 | PGS002567 (cov_SMOKING_STATUS.P+T.1e-06) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0029 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014185 | PGS002616 (cov_SMOKING_STATUS.P+T.5e-08) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014234 | PGS002616 (cov_SMOKING_STATUS.P+T.5e-08) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0101 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014283 | PGS002616 (cov_SMOKING_STATUS.P+T.5e-08) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0031 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014332 | PGS002616 (cov_SMOKING_STATUS.P+T.5e-08) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0027 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014381 | PGS002665 (cov_SMOKING_STATUS.PolyFun-pred) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0052 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See cov_SMOKING_STATUS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014430 | PGS002665 (cov_SMOKING_STATUS.PolyFun-pred) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0024 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See cov_SMOKING_STATUS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014479 | PGS002665 (cov_SMOKING_STATUS.PolyFun-pred) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0332 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See cov_SMOKING_STATUS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014528 | PGS002665 (cov_SMOKING_STATUS.PolyFun-pred) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0093 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See cov_SMOKING_STATUS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014577 | PGS002714 (cov_SMOKING_STATUS.SBayesR) |
PSS009835| African Ancestry| 6,455 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0069 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014626 | PGS002714 (cov_SMOKING_STATUS.SBayesR) |
PSS009836| East Asian Ancestry| 920 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.0058 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014675 | PGS002714 (cov_SMOKING_STATUS.SBayesR) |
PSS009837| European Ancestry| 43,338 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.032 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014724 | PGS002714 (cov_SMOKING_STATUS.SBayesR) |
PSS009838| South Asian Ancestry| 8,007 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Smoking status | — | — | Incremental R2 (full model vs. covariates alone): 0.013 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM015968 | PGS003044 (ExPRSweb_Smoking_20116-1_LASSOSUM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.266 [1.232, 1.302] β: 0.236 (0.0142) |
AUROC: 0.565 [0.557, 0.572] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015971 | PGS003045 (ExPRSweb_Smoking_20116-1_PT_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.219 [1.186, 1.253] β: 0.198 (0.014) |
AUROC: 0.555 [0.547, 0.562] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015969 | PGS003046 (ExPRSweb_Smoking_20116-1_PLINK_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.16 [1.129, 1.192] β: 0.148 (0.0139) |
AUROC: 0.541 [0.533, 0.549] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015967 | PGS003047 (ExPRSweb_Smoking_20116-1_DBSLMM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.216 [1.183, 1.251] β: 0.196 (0.0143) |
AUROC: 0.552 [0.545, 0.56] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015970 | PGS003048 (ExPRSweb_Smoking_20116-1_PRSCS_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.304 [1.269, 1.34] β: 0.266 (0.0139) |
AUROC: 0.573 [0.565, 0.579] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015973 | PGS003049 (ExPRSweb_Smoking_20116-2_LASSOSUM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.103 [1.071, 1.136] β: 0.0981 (0.0151) |
AUROC: 0.527 [0.518, 0.535] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015976 | PGS003050 (ExPRSweb_Smoking_20116-2_PT_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.05 [1.019, 1.082] β: 0.0487 (0.0153) |
AUROC: 0.511 [0.503, 0.52] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015974 | PGS003051 (ExPRSweb_Smoking_20116-2_PLINK_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.06 [1.029, 1.092] β: 0.058 (0.0152) |
AUROC: 0.514 [0.506, 0.523] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015972 | PGS003052 (ExPRSweb_Smoking_20116-2_DBSLMM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.102 [1.07, 1.136] β: 0.0973 (0.0152) |
AUROC: 0.524 [0.517, 0.532] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015975 | PGS003053 (ExPRSweb_Smoking_20116-2_PRSCS_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.122 [1.089, 1.156] β: 0.115 (0.0153) |
AUROC: 0.53 [0.522, 0.538] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015978 | PGS003054 (ExPRSweb_Smoking_20160_LASSOSUM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.326 [1.29, 1.364] β: 0.283 (0.0142) |
AUROC: 0.577 [0.57, 0.584] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015981 | PGS003055 (ExPRSweb_Smoking_20160_PT_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.241 [1.208, 1.275] β: 0.216 (0.0138) |
AUROC: 0.559 [0.552, 0.567] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015979 | PGS003056 (ExPRSweb_Smoking_20160_PLINK_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.211 [1.178, 1.244] β: 0.191 (0.0138) |
AUROC: 0.553 [0.546, 0.561] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015977 | PGS003057 (ExPRSweb_Smoking_20160_DBSLMM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.239 [1.206, 1.273] β: 0.214 (0.0138) |
AUROC: 0.558 [0.551, 0.565] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015980 | PGS003058 (ExPRSweb_Smoking_20160_PRSCS_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.365 [1.327, 1.404] β: 0.311 (0.0144) |
AUROC: 0.583 [0.575, 0.591] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015984 | PGS003059 (ExPRSweb_Smoking_SmokingInitiation_LASSOSUM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.483 [1.442, 1.525] β: 0.394 (0.0143) |
AUROC: 0.604 [0.597, 0.611] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015990 | PGS003060 (ExPRSweb_Smoking_SmokingInitiation_PT_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.393 [1.356, 1.432] β: 0.332 (0.014) |
AUROC: 0.59 [0.582, 0.597] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015986 | PGS003061 (ExPRSweb_Smoking_SmokingInitiation_PLINK_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.315 [1.28, 1.351] β: 0.274 (0.0138) |
AUROC: 0.576 [0.568, 0.583] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015982 | PGS003062 (ExPRSweb_Smoking_SmokingInitiation_DBSLMM_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 0.992 [0.966, 1.018] β: -0.00836 (0.0134) |
AUROC: 0.496 [0.489, 0.504] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015988 | PGS003063 (ExPRSweb_Smoking_SmokingInitiation_PRSCS_MGI_20211120) |
PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.489 [1.448, 1.531] β: 0.398 (0.0143) |
AUROC: 0.605 [0.598, 0.612] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015985 | PGS003064 (ExPRSweb_Smoking_SmokingInitiation_LASSOSUM_UKB_20211120) |
PSS010027| European Ancestry| 203,428 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 2.178 [2.155, 2.202] β: 0.778 (0.00549) |
AUROC: 0.698 [0.696, 0.7] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015991 | PGS003065 (ExPRSweb_Smoking_SmokingInitiation_PT_UKB_20211120) |
PSS010027| European Ancestry| 203,428 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.879 [1.86, 1.898] β: 0.631 (0.00519) |
AUROC: 0.665 [0.663, 0.667] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015987 | PGS003066 (ExPRSweb_Smoking_SmokingInitiation_PLINK_UKB_20211120) |
PSS010027| European Ancestry| 203,428 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 3.101 [3.063, 3.14] β: 1.13 (0.00631) |
AUROC: 0.767 [0.765, 0.769] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015983 | PGS003067 (ExPRSweb_Smoking_SmokingInitiation_DBSLMM_UKB_20211120) |
PSS010027| European Ancestry| 203,428 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.007 [0.998, 1.016] β: 0.00729 (0.00458) |
AUROC: 0.505 [0.502, 0.507] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015989 | PGS003068 (ExPRSweb_Smoking_SmokingInitiation_PRSCS_UKB_20211120) |
PSS010027| European Ancestry| 203,428 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 1.643 [1.627, 1.659] β: 0.497 (0.00497) |
AUROC: 0.633 [0.63, 0.635] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM016221 | PGS003365 (GSCAN_CigDay_2022_PRS_WEIGHTS_AFR) |
PSS010064| African Ancestry| 2,199 individuals |
PGP000410 | Saunders GRB et al. Nature (2022) |
Reported Trait: Cigarettes smoked per day | β: 0.016 (0.042) | — | ∆ R^2: 0.00022 | — | — |
PPM016222 | PGS003366 (GSCAN_CigDay_2022_PRS_WEIGHTS_AMR) |
PSS010061| Hispanic or Latin American Ancestry| 1,132 individuals |
PGP000410 | Saunders GRB et al. Nature (2022) |
Reported Trait: Cigarettes smoked per day | β: 0.111 (0.05) | — | ∆ R^2: 0.012 | — | — |
PPM016223 | PGS003367 (GSCAN_CigDay_2022_PRS_WEIGHTS_EAS) |
PSS010062| East Asian Ancestry| 525 individuals |
PGP000410 | Saunders GRB et al. Nature (2022) |
Reported Trait: Cigarettes smoked per day | β: -0.028 (0.091) | — | ∆ R^2: 0.001 | — | — |
PPM016224 | PGS003368 (GSCAN_CigDay_2022_PRS_WEIGHTS_EUR) |
PSS010063| European Ancestry| 6,092 individuals |
PGP000410 | Saunders GRB et al. Nature (2022) |
Reported Trait: Cigarettes smoked per day | β: 0.217 (0.02) | — | ∆ R^2: 0.045 | — | — |
PPM018505 | PGS003748 (GRS46_CPD) |
PSS010997| Ancestry Not Reported| 14,921 individuals |
PGP000471 | Tran JH et al. Transl Vis Sci Technol (2023) |
Reported Trait: Cigarettes per day | OR: 0.68 [0.43, 0.93] | — | — | — | — |
PPM020095 | PGS004164 (PRS16_LC) |
PSS011294| East Asian Ancestry| 55,266 individuals |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Reported Trait: Lung cancer in never smokers | HR: 1.28 [1.17, 1.4] | — | — | age, education, BMI, COPD history, personal history of cancer, family history of cancer, and the first 10 principal components of ancestry | — |
PPM020976 | PGS004751 (current_smoker_PRSmix_eur) |
PSS011490| European Ancestry| 9,316 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Current smoker | — | — | Incremental R2 (Full model versus model with only covariates): 0.092 [0.081, 0.103] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM020977 | PGS004752 (current_smoker_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Current smoker | — | — | Incremental R2 (Full model versus model with only covariates): 0.004 [0.001, 0.016] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM020978 | PGS004753 (current_smoker_PRSmixPlus_eur) |
PSS011490| European Ancestry| 9,316 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Current smoker | — | — | Incremental R2 (Full model versus model with only covariates): 0.178 [0.164, 0.192] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM020979 | PGS004754 (current_smoker_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Current smoker | — | — | Incremental R2 (Full model versus model with only covariates): 0.006 [0.002, 0.009] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
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 |
---|---|---|---|---|---|---|---|---|
PSS003904 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003905 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003906 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003907 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003908 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS008283 | — | — | 6,176 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS007513 | — | — | 2,322 individuals | — | European | non-white British ancestry | UKB | — |
PSS007511 | — | — | 436 individuals | — | African unspecified | — | UKB | — |
PSS007246 | — | — | 438 individuals | — | African unspecified | — | 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) |
PSS007247 | — | — | 86 individuals | — | East Asian | — | UKB | — |
PSS007248 | — | — | 2,329 individuals | — | European | non-white British ancestry | UKB | — |
PSS007249 | — | — | 411 individuals | — | South Asian | — | UKB | — |
PSS006871 | — | — | 553 individuals | — | African unspecified | — | UKB | — |
PSS006872 | — | — | 122 individuals | — | East Asian | — | UKB | — |
PSS006873 | — | — | 6,735 individuals | — | European | non-white British ancestry | UKB | — |
PSS006874 | — | — | 585 individuals | — | South Asian | — | UKB | — |
PSS006875 | — | — | 15,927 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007516 | — | — | 442 individuals | — | African unspecified | — | UKB | — |
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) |
PSS007517 | — | — | 83 individuals | — | East Asian | — | UKB | — |
PSS007518 | — | — | 2,332 individuals | — | European | non-white British ancestry | UKB | — |
PSS007519 | — | — | 411 individuals | — | South Asian | — | UKB | — |
PSS007520 | — | — | 4,595 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007514 | — | — | 400 individuals | — | South Asian | — | UKB | — |
PSS007515 | — | — | 4,577 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS009177 | — | — | 4,104 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS010061 | — | — | 1,132 individuals | — | Hispanic or Latin American | — | Add Health | — |
PSS010062 | — | — | 525 individuals | — | East Asian | — | Add Health | — |
PSS010063 | — | — | 6,092 individuals | — | European | — | Add Health | — |
PSS010064 | — | — | 2,199 individuals | — | African unspecified | — | Add Health | — |
PSS011490 | — | — | 9,316 individuals | — | European | — | AllofUs | — |
PSS008951 | — | — | 3,854 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS011294 | — | — | 55,266 individuals, 0.0 % Male samples |
— | East Asian | — | CKB | — |
PSS008060 | — | — | 1,787 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS010013 | never/past/current smoking status was recoded to never/ever responses.; Binary | — | [
|
— | European | — | MGI | — |
PSS010997 | — | — | 14,921 individuals, 40.9 % Male samples |
Mean = 66.1 years | Not reported | — | RS | — |
PSS003844 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003845 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003846 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003847 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003848 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS010027 | Field ID: 20160; Binary | — | [
|
— | European | — | UKB | — |
PSS003726 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003727 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003728 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003729 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003730 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS008731 | — | — | 6,620 individuals | — | European | Italy (South Europe) | UKB | — |
PSS009835 | — | — | 6,455 individuals | — | African unspecified | — | UKB | — |
PSS009836 | — | — | 920 individuals | — | East Asian | — | UKB | — |
PSS009837 | — | — | 43,338 individuals | — | European | Non-British European | UKB | — |
PSS009838 | — | — | 8,007 individuals | — | South Asian | — | UKB | — |
PSS007847 | — | — | 2,443 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
PSS003750 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003751 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003752 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003753 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003754 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007250 | — | — | 4,562 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS008505 | — | — | 1,152 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS007512 | — | — | 81 individuals | — | East Asian | — | UKB | — |
PSS009403 | — | — | 19,926 individuals | — | European | UK (+ Ireland) | UKB | — |