Trait: alcohol consumption measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007878
Description quantification of some aspect of alcohol consumption such as frequency or quantity
Trait category
Other measurement
Mapped term PMID:26081443
Child trait(s) longitudinal alcohol consumption measurement

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 "alcohol consumption measurement" 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 Scoring File (FTP Link)
PGS000203
(GSCAN_DPW_COGA)
PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
Alcohol consumption (drinks per week) alcohol consumption measurement 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 measurement 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 measurement
214
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001085/ScoringFiles/PGS001085.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 measurement
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 measurement 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 measurement 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 measurement 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 measurement 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 measurement 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 measurement 946,965
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002152/ScoringFiles/PGS002152.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] : 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] : 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] : 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] : 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] : 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
: 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] : 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] : 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] : 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] : 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. : 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. : 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. : 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. : 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. : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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

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
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
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)
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