Trait: alcohol consumption quality

Trait Information
Identifier OBA_1000840
Description The quality of a alcohol consumption. [obo: oba/patterns/entity_attribute_part_of]
Trait category
Other measurement
Synonym quality of alcohol consumption

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
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)
PGS000203
(GSCAN_DPW_COGA)
 PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
 Alcohol consumption (drinks per week) alcohol consumption quality 1,110,910
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000203/ScoringFiles/PGS000203.txt.gz
PGS000204
(GSCAN_DPW_FT12)
 PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
 Alcohol consumption (drinks per week) alcohol consumption quality 1,099,480
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000204/ScoringFiles/PGS000204.txt.gz
PGS001085
(GBE_BIN_FC10001628)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Increased alcohol consumption, versus 10 years ago longitudinal alcohol consumption measurement,
alcohol consumption quality		 214
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001085/ScoringFiles/PGS001085.txt.gz
PGS001086
(GBE_BIN100580)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Alcohol consumption alcohol consumption quality 1,028
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001086/ScoringFiles/PGS001086.txt.gz
PGS001087
(GBE_QT_FC1001558)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Alcohol intake frequency alcohol consumption quality 8,353
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001087/ScoringFiles/PGS001087.txt.gz
PGS001088
(GBE_INI1588)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Average weekly alcohol consumption (beer and cider) alcohol consumption quality 2,842
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001088/ScoringFiles/PGS001088.txt.gz
PGS001394
(GBE_INI20414)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Freq. of drinking alcohol alcohol consumption quality 860
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001394/ScoringFiles/PGS001394.txt.gz
PGS001934
(portability-PLR_less_alcohol)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Alcohol intake frequency alcohol consumption quality 50,955
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001934/ScoringFiles/PGS001934.txt.gz
PGS002152
(portability-ldpred2_less_alcohol)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Alcohol intake frequency alcohol consumption quality 946,965
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002152/ScoringFiles/PGS002152.txt.gz
PGS002752
(Drinks_per_week_prscs)
 PGP000364 |
Mars N et al. Am J Hum Genet (2022)
 Alcohol consumption (drinks per week) alcohol consumption quality 1,089,551
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002752/ScoringFiles/PGS002752.txt.gz
PGS002825
(ExPRSweb_Alcohol_20403_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 375,749
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002825/ScoringFiles/PGS002825.txt.gz
PGS002826
(ExPRSweb_Alcohol_20403_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 19
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002826/ScoringFiles/PGS002826.txt.gz
PGS002827
(ExPRSweb_Alcohol_20403_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 25
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002827/ScoringFiles/PGS002827.txt.gz
PGS002828
(ExPRSweb_Alcohol_20403_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 5,498,032
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002828/ScoringFiles/PGS002828.txt.gz
PGS002829
(ExPRSweb_Alcohol_20403_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 1,113,829
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002829/ScoringFiles/PGS002829.txt.gz
PGS002830
(ExPRSweb_Alcohol_DrinksPerWeek_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 524,093
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002830/ScoringFiles/PGS002830.txt.gz
PGS002831
(ExPRSweb_Alcohol_DrinksPerWeek_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 12,650
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002831/ScoringFiles/PGS002831.txt.gz
PGS002832
(ExPRSweb_Alcohol_DrinksPerWeek_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 27,085
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002832/ScoringFiles/PGS002832.txt.gz
PGS002833
(ExPRSweb_Alcohol_DrinksPerWeek_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 232
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002833/ScoringFiles/PGS002833.txt.gz
PGS002834
(ExPRSweb_Alcohol_DrinksPerWeek_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 1,116,497
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002834/ScoringFiles/PGS002834.txt.gz
PGS002835
(ExPRSweb_Alcohol_DrinksPerWeek_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 524,875
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002835/ScoringFiles/PGS002835.txt.gz
PGS002836
(ExPRSweb_Alcohol_DrinksPerWeek_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 10,706
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002836/ScoringFiles/PGS002836.txt.gz
PGS002837
(ExPRSweb_Alcohol_DrinksPerWeek_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 22,675
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002837/ScoringFiles/PGS002837.txt.gz
PGS002838
(ExPRSweb_Alcohol_DrinksPerWeek_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 137
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002838/ScoringFiles/PGS002838.txt.gz
PGS002839
(ExPRSweb_Alcohol_DrinksPerWeek_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Alcohol consumption alcohol consumption quality 1,117,376
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002839/ScoringFiles/PGS002839.txt.gz
PGS003373
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_AFR)
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Drinks per week alcohol consumption quality 1,177,071
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003373/ScoringFiles/PGS003373.txt.gz
PGS003374
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_AMR)
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Drinks per week alcohol consumption quality 1,109,568
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003374/ScoringFiles/PGS003374.txt.gz
PGS003375
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_EAS)
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Drinks per week alcohol consumption quality 856,333
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003375/ScoringFiles/PGS003375.txt.gz
PGS003376
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_EUR)
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Drinks per week alcohol consumption quality 1,055,988
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003376/ScoringFiles/PGS003376.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
PPM000625 PGS000203
(GSCAN_DPW_COGA)
 PSS000339|
European Ancestry|
7,599 individuals
 PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
 Reported Trait: Alcohol use disorder (DSM-5 criteria count, log-transformed) β: 0.121 (0.01) — ΔR-squared (vs. covariates alone): 0.01734 sex, age of last observation, 10 Genetic PCs, genotyping array, data collection site —
PPM000628 PGS000204
(GSCAN_DPW_FT12)
 PSS000340|
European Ancestry|
1,251 individuals
 PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
 Reported Trait: Alcohol use disorder (DSM-5 criteria count, log-transformed) β: 0.114 (0.019) — ΔR-squared (vs. covariates alone): 0.0298 sex, age of last observation, 10 Genetic PCs —
PPM008173 PGS001085
(GBE_BIN_FC10001628)
 PSS003701|
African Ancestry|
4,734 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake versus 10 years previously (More nowadays) — AUROC: 0.61924 [0.59643, 0.64206] R²: 0.03617
Incremental AUROC (full-covars): -0.00135
PGS R2 (no covariates): 0.00063
PGS AUROC (no covariates): 0.48029 [0.45567, 0.50491]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008174 PGS001085
(GBE_BIN_FC10001628)
 PSS003702|
East Asian Ancestry|
1,152 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake versus 10 years previously (More nowadays) — AUROC: 0.59668 [0.5559, 0.63746] R²: 0.03361
Incremental AUROC (full-covars): -7e-05
PGS R2 (no covariates): 0.00016
PGS AUROC (no covariates): 0.49533 [0.45262, 0.53804]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008175 PGS001085
(GBE_BIN_FC10001628)
 PSS003703|
European Ancestry|
22,711 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake versus 10 years previously (More nowadays) — AUROC: 0.57487 [0.56499, 0.58474] R²: 0.01586
Incremental AUROC (full-covars): 0.00294
PGS R2 (no covariates): 0.00217
PGS AUROC (no covariates): 0.52723 [0.51724, 0.53721]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008176 PGS001085
(GBE_BIN_FC10001628)
 PSS003704|
South Asian Ancestry|
3,896 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake versus 10 years previously (More nowadays) — AUROC: 0.62832 [0.60431, 0.65233] R²: 0.04483
Incremental AUROC (full-covars): 0.00126
PGS R2 (no covariates): 0.00102
PGS AUROC (no covariates): 0.51677 [0.49198, 0.54156]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008177 PGS001085
(GBE_BIN_FC10001628)
 PSS003705|
European Ancestry|
62,689 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake versus 10 years previously (More nowadays) — AUROC: 0.57771 [0.57181, 0.58362] R²: 0.01714
Incremental AUROC (full-covars): 0.00186
PGS R2 (no covariates): 0.00101
PGS AUROC (no covariates): 0.51871 [0.51274, 0.52468]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008178 PGS001086
(GBE_BIN100580)
 PSS003627|
African Ancestry|
2,091 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol consumed — AUROC: 0.62758 [0.60247, 0.65268] PGS R2 (no covariates): 1e-05
R²: 0.05864
Incremental AUROC (full-covars): -0.00051
PGS AUROC (no covariates): 0.50069 [0.47453, 0.52686]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008179 PGS001086
(GBE_BIN100580)
 PSS003628|
East Asian Ancestry|
613 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol consumed — AUROC: 0.59978 [0.55292, 0.64664] R²: 0.04862
Incremental AUROC (full-covars): -0.00096
PGS R2 (no covariates): 0.0041
PGS AUROC (no covariates): 0.53085 [0.48306, 0.57863]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008180 PGS001086
(GBE_BIN100580)
 PSS003629|
European Ancestry|
11,475 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol consumed — AUROC: 0.57613 [0.56536, 0.58689] R²: 0.02439
Incremental AUROC (full-covars): 0.00362
PGS R2 (no covariates): 0.00374
PGS AUROC (no covariates): 0.52973 [0.51886, 0.54059]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008181 PGS001086
(GBE_BIN100580)
 PSS003630|
South Asian Ancestry|
2,331 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol consumed — AUROC: 0.63584 [0.61091, 0.66076] R²: 0.06374
Incremental AUROC (full-covars): -0.00247
PGS R2 (no covariates): 9e-05
PGS AUROC (no covariates): 0.50765 [0.48217, 0.53314]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008182 PGS001086
(GBE_BIN100580)
 PSS003631|
European Ancestry|
29,044 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol consumed — AUROC: 0.56938 [0.56257, 0.57619] R²: 0.01833
Incremental AUROC (full-covars): 0.00268
PGS R2 (no covariates): 0.00113
PGS AUROC (no covariates): 0.51728 [0.51036, 0.52419]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008184 PGS001087
(GBE_QT_FC1001558)
 PSS007567|
East Asian Ancestry|
1,666 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake frequency. — — R²: 0.06423 [0.04175, 0.0867]
Incremental R2 (full-covars): 0.00344
PGS R2 (no covariates): 0.00917 [0.00018, 0.01817]		 age, sex, UKB array type, Genotype PCs —
PPM008183 PGS001087
(GBE_QT_FC1001558)
 PSS007566|
African Ancestry|
6,405 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake frequency. — — R²: 0.08212 [0.06934, 0.09491]
Incremental R2 (full-covars): -0.00402
PGS R2 (no covariates): 0.00011 [-0.0004, 0.00062]		 age, sex, UKB array type, Genotype PCs —
PPM008185 PGS001087
(GBE_QT_FC1001558)
 PSS007568|
European Ancestry|
24,881 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake frequency. — — R²: 0.05667 [0.05109, 0.06224]
Incremental R2 (full-covars): 0.01563
PGS R2 (no covariates): 0.01863 [0.0153, 0.02196]		 age, sex, UKB array type, Genotype PCs —
PPM008186 PGS001087
(GBE_QT_FC1001558)
 PSS007569|
South Asian Ancestry|
7,655 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake frequency. — — R²: 0.12724 [0.11346, 0.14103]
Incremental R2 (full-covars): 0.00158
PGS R2 (no covariates): 0.00484 [0.00177, 0.0079]		 age, sex, UKB array type, Genotype PCs —
PPM008187 PGS001087
(GBE_QT_FC1001558)
 PSS007570|
European Ancestry|
67,383 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alcohol intake frequency. — — R²: 0.05002 [0.04681, 0.05323]
Incremental R2 (full-covars): 0.01708
PGS R2 (no covariates): 0.01731 [0.01536, 0.01926]		 age, sex, UKB array type, Genotype PCs —
PPM008188 PGS001088
(GBE_INI1588)
 PSS004871|
African Ancestry|
2,231 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Ave. weekly beer plus cider intake — — R²: 0.14416 [0.12836, 0.15995]
Incremental R2 (full-covars): -0.00124
PGS R2 (no covariates): 0.00097 [-0.00054, 0.00249]		 age, sex, UKB array type, Genotype PCs —
PPM008189 PGS001088
(GBE_INI1588)
 PSS004872|
East Asian Ancestry|
426 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Ave. weekly beer plus cider intake — — R²: 0.12947 [0.09978, 0.15915]
Incremental R2 (full-covars): -0.0302
PGS R2 (no covariates): 2e-05 [-0.0004, 0.00044]		 age, sex, UKB array type, Genotype PCs —
PPM008190 PGS001088
(GBE_INI1588)
 PSS004873|
European Ancestry|
17,009 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Ave. weekly beer plus cider intake — — R²: 0.20264 [0.19372, 0.21155]
Incremental R2 (full-covars): 0.0025
PGS R2 (no covariates): 0.01122 [0.00861, 0.01382]		 age, sex, UKB array type, Genotype PCs —
PPM008191 PGS001088
(GBE_INI1588)
 PSS004874|
South Asian Ancestry|
2,187 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Ave. weekly beer plus cider intake — — R²: 0.14544 [0.13101, 0.15987]
Incremental R2 (full-covars): 0.00307
PGS R2 (no covariates): 0.00521 [0.00203, 0.00839]		 age, sex, UKB array type, Genotype PCs —
PPM008192 PGS001088
(GBE_INI1588)
 PSS004875|
European Ancestry|
48,642 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Ave. weekly beer plus cider intake — — R²: 0.18975 [0.18443, 0.19508]
Incremental R2 (full-covars): 0.00365
PGS R2 (no covariates): 0.00431 [0.00333, 0.0053]		 age, sex, UKB array type, Genotype PCs —
PPM005250 PGS001394
(GBE_INI20414)
 PSS004901|
African Ancestry|
916 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Freq. of drinking alcohol — — R²: 0.06812 [0.0563, 0.07994]
Incremental R2 (full-covars): -0.00597
PGS R2 (no covariates): 0.00346 [0.00061, 0.0063]		 age, sex, UKB array type, Genotype PCs —
PPM005251 PGS001394
(GBE_INI20414)
 PSS004902|
East Asian Ancestry|
362 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Freq. of drinking alcohol — — R²: 0.0612 [0.03919, 0.08321]
Incremental R2 (full-covars): 0.00664
PGS R2 (no covariates): 0.00812 [-0.00035, 0.01659]		 age, sex, UKB array type, Genotype PCs —
PPM005252 PGS001394
(GBE_INI20414)
 PSS004903|
European Ancestry|
8,143 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Freq. of drinking alcohol — — R²: 0.03774 [0.03309, 0.04238]
Incremental R2 (full-covars): 0.00221
PGS R2 (no covariates): 0.00497 [0.00323, 0.00671]		 age, sex, UKB array type, Genotype PCs —
PPM005253 PGS001394
(GBE_INI20414)
 PSS004904|
South Asian Ancestry|
1,046 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Freq. of drinking alcohol — — R²: 0.08608 [0.0742, 0.09795]
Incremental R2 (full-covars): 0.00166
PGS R2 (no covariates): 0.00099 [-0.0004, 0.00239]		 age, sex, UKB array type, Genotype PCs —
PPM005254 PGS001394
(GBE_INI20414)
 PSS004905|
European Ancestry|
22,013 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Freq. of drinking alcohol — — R²: 0.03531 [0.03257, 0.03804]
Incremental R2 (full-covars): 0.00358
PGS R2 (no covariates): 0.00342 [0.00254, 0.0043]		 age, sex, UKB array type, Genotype PCs —
PPM010347 PGS001934
(portability-PLR_less_alcohol)
 PSS009421|
European Ancestry|
19,981 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.1546 [0.1411, 0.1681] sex, age, birth date, deprivation index, 16 PCs —
PPM010348 PGS001934
(portability-PLR_less_alcohol)
 PSS009195|
European Ancestry|
4,117 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.155 [0.125, 0.1847] sex, age, birth date, deprivation index, 16 PCs —
PPM010349 PGS001934
(portability-PLR_less_alcohol)
 PSS008749|
European Ancestry|
6,635 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.1603 [0.1367, 0.1837] sex, age, birth date, deprivation index, 16 PCs —
PPM010350 PGS001934
(portability-PLR_less_alcohol)
 PSS008523|
Greater Middle Eastern Ancestry|
1,161 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.045 [-0.0131, 0.1028] sex, age, birth date, deprivation index, 16 PCs —
PPM010351 PGS001934
(portability-PLR_less_alcohol)
 PSS008301|
South Asian Ancestry|
6,209 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.054 [0.0291, 0.0788] sex, age, birth date, deprivation index, 16 PCs —
PPM010352 PGS001934
(portability-PLR_less_alcohol)
 PSS008078|
East Asian Ancestry|
1,789 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.0888 [0.0424, 0.1348] sex, age, birth date, deprivation index, 16 PCs —
PPM010353 PGS001934
(portability-PLR_less_alcohol)
 PSS007865|
African Ancestry|
2,460 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.0359 [-0.0038, 0.0755] sex, age, birth date, deprivation index, 16 PCs —
PPM010354 PGS001934
(portability-PLR_less_alcohol)
 PSS008969|
African Ancestry|
3,855 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.0086 [-0.023, 0.0403] sex, age, birth date, deprivation index, 16 PCs —
PPM012064 PGS002152
(portability-ldpred2_less_alcohol)
 PSS009195|
European Ancestry|
4,117 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.1643 [0.1343, 0.1939] sex, age, birth date, deprivation index, 16 PCs —
PPM012063 PGS002152
(portability-ldpred2_less_alcohol)
 PSS009421|
European Ancestry|
19,981 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.1645 [0.1509, 0.1779] sex, age, birth date, deprivation index, 16 PCs —
PPM012065 PGS002152
(portability-ldpred2_less_alcohol)
 PSS008749|
European Ancestry|
6,635 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.176 [0.1526, 0.1993] sex, age, birth date, deprivation index, 16 PCs —
PPM012066 PGS002152
(portability-ldpred2_less_alcohol)
 PSS008523|
Greater Middle Eastern Ancestry|
1,161 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.0596 [0.0016, 0.1173] sex, age, birth date, deprivation index, 16 PCs —
PPM012067 PGS002152
(portability-ldpred2_less_alcohol)
 PSS008301|
South Asian Ancestry|
6,209 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.0571 [0.0322, 0.0819] sex, age, birth date, deprivation index, 16 PCs —
PPM012068 PGS002152
(portability-ldpred2_less_alcohol)
 PSS008078|
East Asian Ancestry|
1,789 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.1084 [0.0621, 0.1542] sex, age, birth date, deprivation index, 16 PCs —
PPM012069 PGS002152
(portability-ldpred2_less_alcohol)
 PSS007865|
African Ancestry|
2,460 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.0391 sex, age, birth date, deprivation index, 16 PCs —
PPM012070 PGS002152
(portability-ldpred2_less_alcohol)
 PSS008969|
African Ancestry|
3,855 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol intake frequency — — Partial Correlation (partial-r): 0.0299 [-0.0017, 0.0615] sex, age, birth date, deprivation index, 16 PCs —
PPM014952 PGS002752
(Drinks_per_week_prscs)
 PSS009939|
European Ancestry|
39,444 individuals
 PGP000364 |
Mars N et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption (drinks per week) OR: 1.19 [1.14, 1.25] — — age, sex, 10 PCs, technical covariates —
PPM015614 PGS002825
(ExPRSweb_Alcohol_20403_LASSOSUM_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.0419 (0.0148) — R²: 0.00065 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015617 PGS002826
(ExPRSweb_Alcohol_20403_PT_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.0688 (0.0149) — R²: 0.00177 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015615 PGS002827
(ExPRSweb_Alcohol_20403_PLINK_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.0314 (0.0146) — R²: 0.00039 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015613 PGS002828
(ExPRSweb_Alcohol_20403_DBSLMM_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.036 (0.0144) — R²: 0.00039 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015616 PGS002829
(ExPRSweb_Alcohol_20403_PRSCS_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.0213 (0.0146) — R²: 0.00017 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015620 PGS002830
(ExPRSweb_Alcohol_DrinksPerWeek_LASSOSUM_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.127 (0.0144) — R²: 0.00572 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015626 PGS002831
(ExPRSweb_Alcohol_DrinksPerWeek_PT_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.123 (0.0144) — R²: 0.00563 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015622 PGS002832
(ExPRSweb_Alcohol_DrinksPerWeek_PLINK_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.0837 (0.0151) — R²: 0.00254 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015618 PGS002833
(ExPRSweb_Alcohol_DrinksPerWeek_DBSLMM_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.00713 (0.0143) — R²: 1e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015624 PGS002834
(ExPRSweb_Alcohol_DrinksPerWeek_PRSCS_MGI_20211120)
 PSS009996|
European Ancestry|
13,334 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.127 (0.0144) — R²: 0.00556 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015621 PGS002835
(ExPRSweb_Alcohol_DrinksPerWeek_LASSOSUM_UKB_20211120)
 PSS010023|
European Ancestry|
60,670 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.539 (0.194) — R²: 0.00011 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015627 PGS002836
(ExPRSweb_Alcohol_DrinksPerWeek_PT_UKB_20211120)
 PSS010023|
European Ancestry|
60,670 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.389 (0.194) — R²: 5e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015623 PGS002837
(ExPRSweb_Alcohol_DrinksPerWeek_PLINK_UKB_20211120)
 PSS010023|
European Ancestry|
60,670 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.494 (0.194) — R²: 0.0001 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015619 PGS002838
(ExPRSweb_Alcohol_DrinksPerWeek_DBSLMM_UKB_20211120)
 PSS010023|
European Ancestry|
60,670 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: -0.153 (0.192) — R²: 1e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015625 PGS002839
(ExPRSweb_Alcohol_DrinksPerWeek_PRSCS_UKB_20211120)
 PSS010023|
European Ancestry|
60,670 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Alcohol consumption β: 0.723 (0.194) — R²: 0.00021 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM016229 PGS003373
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_AFR)
 PSS010064|
African Ancestry|
2,199 individuals
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Reported Trait: Drinks per week β: 0.051 (0.028) — ∆ R^2: 0.003 — —
PPM016230 PGS003374
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_AMR)
 PSS010061|
Hispanic or Latin American Ancestry|
1,132 individuals
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Reported Trait: Drinks per week β: 0.078 (0.034) — ∆ R^2: 0.006 — —
PPM016231 PGS003375
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_EAS)
 PSS010062|
East Asian Ancestry|
525 individuals
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Reported Trait: Drinks per week β: 0.089 (0.057) — ∆ R^2: 0.007 — —
PPM016232 PGS003376
(GSCAN_DrnkWk_2022_PRS_WEIGHTS_EUR)
 PSS010063|
European Ancestry|
6,092 individuals
 PGP000410 |
Saunders GRB et al. Nature (2022)
 Reported Trait: Drinks per week β: 0.121 (0.016) — ∆ R^2: 0.012 — —

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
PSS008523 — — 1,161 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009421 — — 19,981 individuals — European UK (+ Ireland) UKB —
PSS009195 — — 4,117 individuals — European Poland (NE Europe) UKB —
PSS008301 — — 6,209 individuals — South Asian India (South Asia) UKB —
PSS009996 Alcohol Oz Per Week; Quantitative — 13,334 individuals — European — MGI —
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 —
PSS003701 — —
[
  • 616 cases
  • , 4,118 controls
]
 — African unspecified — UKB —
PSS003702 — —
[
  • 227 cases
  • , 925 controls
]
 — East Asian — UKB —
PSS003703 — —
[
  • 3,856 cases
  • , 18,855 controls
]
 — European non-white British ancestry UKB —
PSS003704 — —
[
  • 605 cases
  • , 3,291 controls
]
 — South Asian — UKB —
PSS003705 — —
[
  • 10,844 cases
  • , 51,845 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS008969 — — 3,855 individuals — African unspecified Nigeria (West Africa) UKB —
PSS010023 Field ID: 20403; Quantitative — 60,670 individuals — European — UKB —
PSS008078 — — 1,789 individuals — East Asian China (East Asia) UKB —
PSS004871 — — 2,231 individuals — African unspecified — UKB —
PSS004872 — — 426 individuals — East Asian — UKB —
PSS004873 — — 17,009 individuals — European non-white British ancestry UKB —
PSS004874 — — 2,187 individuals — South Asian — UKB —
PSS004875 — — 48,642 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS007566 — — 6,405 individuals — African unspecified — UKB —
PSS007567 — — 1,666 individuals — East Asian — UKB —
PSS007568 — — 24,881 individuals — European non-white British ancestry UKB —
PSS007569 — — 7,655 individuals — South Asian — UKB —
PSS007570 — — 67,383 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS009939 — — 39,444 individuals — European
(Finnish)		 — FinnGen —
PSS004901 — — 916 individuals — African unspecified — UKB —
PSS004902 — — 362 individuals — East Asian — UKB —
PSS004903 — — 8,143 individuals — European non-white British ancestry UKB —
PSS004904 — — 1,046 individuals — South Asian — UKB —
PSS004905 — — 22,013 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS008749 — — 6,635 individuals — European Italy (South Europe) UKB —
PSS000339 — — 7,599 individuals,
47.16 % Male samples
 Mean = 36.94 years
Sd = 14.77 years
Range = [12.0, 91.0] years		 European — COGA —
PSS000340 — — 1,251 individuals,
45.6 % Male samples
 Mean = 21.9 years
Sd = 0.77 years
Range = [21.0, 26.0] years		 European
(Finnish)		 — FinnTwin12 Twin Study
PSS003627 — —
[
  • 723 cases
  • , 1,368 controls
]
 — African unspecified — UKB —
PSS003628 — —
[
  • 205 cases
  • , 408 controls
]
 — East Asian — UKB —
PSS003629 — —
[
  • 7,198 cases
  • , 4,277 controls
]
 — European non-white British ancestry UKB —
PSS003630 — —
[
  • 698 cases
  • , 1,633 controls
]
 — South Asian — UKB —
PSS003631 — —
[
  • 18,602 cases
  • , 10,442 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007865 — — 2,460 individuals — African American or Afro-Caribbean Carribean UKB —