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
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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 quality1,110,910
G
-
E
 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 quality1,099,480
G
-
E
 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 agolongitudinal alcohol consumption measurement,
alcohol consumption quality		214
-
D
E
 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 consumptionalcohol consumption quality1,028
-
D
E
 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 frequencyalcohol consumption quality8,353
-
D
E
 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 quality2,842
-
D
E
 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 alcoholalcohol consumption quality860
-
D
E
 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 frequencyalcohol consumption quality50,955
-
D
E
 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 frequencyalcohol consumption quality946,965
-
D
E
 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 quality1,089,551
G
-
E
 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 consumptionalcohol consumption quality375,749
G
D
E
 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 consumptionalcohol consumption quality19
G
D
E
 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 consumptionalcohol consumption quality25
G
D
E
 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 consumptionalcohol consumption quality5,498,032
G
D
E
 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 consumptionalcohol consumption quality1,113,829
G
D
E
 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 consumptionalcohol consumption quality524,093
G
D
E
 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 consumptionalcohol consumption quality12,650
G
D
E
 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 consumptionalcohol consumption quality27,085
G
D
E
 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 consumptionalcohol consumption quality232
G
D
E
 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 consumptionalcohol consumption quality1,116,497
G
D
E
 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 consumptionalcohol consumption quality524,875
G
D
E
 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 consumptionalcohol consumption quality10,706
G
D
E
 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 consumptionalcohol consumption quality22,675
G
D
E
 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 consumptionalcohol consumption quality137
G
D
E
 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 consumptionalcohol consumption quality1,117,376
G
D
E
 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 weekalcohol consumption quality1,177,071
G
-
E
 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 weekalcohol consumption quality1,109,568
G
-
E
 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 weekalcohol consumption quality856,333
G
-
E
 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 weekalcohol consumption quality1,055,988
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003376/ScoringFiles/PGS003376.txt.gz
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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.

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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
PPM000625PGS000203
(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): 0.01734sex, age of last observation, 10 Genetic PCs, genotyping array, data collection site—
PPM000628PGS000204
(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): 0.0298sex, age of last observation, 10 Genetic PCs—
PPM005250PGS001394
(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—
PPM005251PGS001394
(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—
PPM005252PGS001394
(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—
PPM005253PGS001394
(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—
PPM005254PGS001394
(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—
PPM008173PGS001085
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008174PGS001085
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008175PGS001085
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008176PGS001085
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008177PGS001085
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008178PGS001086
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008179PGS001086
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008180PGS001086
(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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
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Evaluated Samples

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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
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)		—FinnTwin12Twin 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
]
—Europeannon-white British ancestryUKB—
PSS003630——
[
  • 698 cases
  • , 1,633 controls
]
—South Asian—UKB—
PSS003631——
[
  • 18,602 cases
  • , 10,442 controls
]
—Europeanwhite British ancestryUKBTesting cohort (heldout set)
PSS003701——
[
  • 616 cases
  • , 4,118 controls
]
—African unspecified—UKB—
PSS003702——
[
  • 227 cases
  • , 925 controls
]
—East Asian—UKB—
PSS003703——
[
  • 3,856 cases
  • , 18,855 controls
]
—Europeannon-white British ancestryUKB—
PSS003704——
[
  • 605 cases
  • , 3,291 controls
]
—South Asian—UKB—
PSS003705——
[
  • 10,844 cases
  • , 51,845 controls
]
—Europeanwhite British ancestryUKBTesting cohort (heldout set)
PSS004871——2,231 individuals—African unspecified—UKB—
PSS004872——426 individuals—East Asian—UKB—
PSS004873——17,009 individuals—Europeannon-white British ancestryUKB—
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