Trait: smoking behavior trait

Trait Information
Identifier OBA_2050116
Description The characteristic of a smoking behavior. [obo: oba/patterns/entity_attribute_part_of]
Trait category
Other measurement
Synonym characteristic of smoking behavior
Child trait(s) 2 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "smoking behavior trait" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
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 behavior trait 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 behavior trait 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 behavior trait 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 smoking status measurement,
lung carcinoma		 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

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM) 		Evaluated Score PGS Sample Set ID
(PSS) 		Performance Source Trait PGS Effect Sizes
(per SD change) 		Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
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
PPM038405 PGS001127
(GBE_BIN_FC10020116)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: -0.05085 — — — —
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
PPM038581 PGS001128
(GBE_BIN_FC20020116)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.02688 — — — —
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 —
PPM038393 PGS001911
(portability-PLR_ever_smoked)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.05196 — — — —
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 —
PPM038362 PGS002126
(portability-ldpred2_ever_smoked)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.06245 — — — —
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 —
PPM038349 PGS002348
(cov_SMOKING_STATUS.BOLT-LMM)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.06832 — — — —
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 —
PPM038501 PGS002420
(cov_SMOKING_STATUS.P+T.0.0001)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.06988 — — — —
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 —
PPM038466 PGS002469
(cov_SMOKING_STATUS.P+T.0.001)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.27954 — — — —
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 —
PPM038456 PGS002518
(cov_SMOKING_STATUS.P+T.0.01)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.48366 — — — —
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 —
PPM038966 PGS002567
(cov_SMOKING_STATUS.P+T.1e-06)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.01311 — — — —
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
PPM038406 PGS002665
(cov_SMOKING_STATUS.PolyFun-pred)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.04917 — — — —
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 —
PPM038347 PGS002714
(cov_SMOKING_STATUS.SBayesR)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.068 — — — —
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 — —
PPM022471 PGS003368
(GSCAN_CigDay_2022_PRS_WEIGHTS_EUR)
 PSS011952|
European Ancestry|
15,780 individuals
 PGP000717 |
Venkateswaran V et al. Transl Psychiatry (2024)
|Ext.		 Reported Trait: Tobacco use disorder β: -0.11 (0.018) — — — —
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)

Evaluated Samples

PGS Sample Set ID
(PSS) 		Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS003904 — —
[
  • 150 cases
  • , 361 controls
]
 — African unspecified — UKB —
PSS003905 — —
[
  • 48 cases
  • , 195 controls
]
 — East Asian — UKB —
PSS003906 — —
[
  • 2,751 cases
  • , 3,178 controls
]
 — European non-white British ancestry UKB —
PSS003907 — —
[
  • 169 cases
  • , 530 controls
]
 — South Asian — UKB —
PSS003908 — —
[
  • 6,855 cases
  • , 10,295 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007511 — — 436 individuals — African unspecified — UKB —
PSS007246 — — 438 individuals — African unspecified — UKB —
PSS007247 — — 86 individuals — East Asian — UKB —
PSS007248 — — 2,329 individuals — European non-white British ancestry UKB —
PSS007249 — — 411 individuals — South Asian — UKB —
PSS007250 — — 4,562 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS009177 — — 4,104 individuals — European Poland (NE Europe) UKB —
PSS008283 — — 6,176 individuals — South Asian India (South Asia) UKB —
PSS011294 — — 55,266 individuals,
0.0 % Male samples
 — East Asian — CKB —
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 —
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)
PSS007512 — — 81 individuals — East Asian — UKB —
PSS007513 — — 2,322 individuals — European non-white British ancestry UKB —
PSS007514 — — 400 individuals — South Asian — UKB —
PSS007515 — — 4,577 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS010997 — — 14,921 individuals,
40.9 % Male samples
 Mean = 66.1 years Not reported — RS —
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 —
PSS011952 — — 15,780 individuals — European — UCLA T1
PSS008060 — — 1,787 individuals — East Asian China (East Asia) UKB —
PSS010013 never/past/current smoking status was recoded to never/ever responses.; Binary —
[
  • 11,434 cases
  • , 11,898 controls
]
 — European — MGI —
PSS003844 — —
[
  • 1,071 cases
  • , 5,319 controls
]
 — African unspecified — UKB —
PSS003845 — —
[
  • 237 cases
  • , 1,424 controls
]
 — East Asian — UKB —
PSS003846 — —
[
  • 9,959 cases
  • , 14,857 controls
]
 — European non-white British ancestry UKB —
PSS003847 — —
[
  • 962 cases
  • , 6,653 controls
]
 — South Asian — UKB —
PSS003848 — —
[
  • 23,931 cases
  • , 43,281 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS010027 Field ID: 20160; Binary —
[
  • 123,032 cases
  • , 80,396 controls
]
 — European — UKB —
PSS003726 — —
[
  • 599 cases
  • , 812 controls
]
 — African unspecified — UKB —
PSS003727 — —
[
  • 124 cases
  • , 216 controls
]
 — East Asian — UKB —
PSS003728 — —
[
  • 3,751 cases
  • , 3,509 controls
]
 — European non-white British ancestry UKB —
PSS003729 — —
[
  • 567 cases
  • , 702 controls
]
 — South Asian — UKB —
PSS003730 — —
[
  • 8,496 cases
  • , 10,061 controls
]
 — 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 — —
[
  • 4,607 cases
  • , 1,783 controls
]
 — African unspecified — UKB —
PSS003751 — —
[
  • 1,302 cases
  • , 359 controls
]
 — East Asian — UKB —
PSS003752 — —
[
  • 11,638 cases
  • , 13,178 controls
]
 — European non-white British ancestry UKB —
PSS003753 — —
[
  • 6,019 cases
  • , 1,596 controls
]
 — South Asian — UKB —
PSS003754 — —
[
  • 37,219 cases
  • , 29,993 controls
]
 — 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 —
PSS009403 — — 19,926 individuals — European UK (+ Ireland) UKB —
PSS013916 — —
[
  • 111,243 cases
  • , 313,997 controls
]
,
46.21 % Male samples
 — European
(British, Irish)		 — UKB —