Trait: urinary metabolite measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0005116
Description quantification of some metabolite in urine
Trait category
Other measurement
Child trait(s) 3 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 "urinary metabolite 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
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS000690
(snpnet.Microalbumin_in_urine)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Microalbumin in urine [mg/L] urinary microalbumin measurement 111
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000690/ScoringFiles/PGS000690.txt.gz - Check Terms/Licenses
PGS000695
(snpnet.Sodium_in_urine)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Sodium in urine [mmol/L] urinary metabolite measurement,
sodium measurement		 5,833
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000695/ScoringFiles/PGS000695.txt.gz - Check Terms/Licenses
PGS000822
(GRS_UACR)
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Urinary albumin to creatinine ratio urinary albumin to creatinine ratio 59
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000822/ScoringFiles/PGS000822.txt.gz
PGS000861
(UACR)
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Urine Albumin-to-Creatinine ratio urinary albumin to creatinine ratio 93
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000861/ScoringFiles/PGS000861.txt.gz
PGS000972
(GBE_BIN10030500)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Microalbumin [> 40 mg/L] urinary microalbumin measurement 1,097
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000972/ScoringFiles/PGS000972.txt.gz
PGS001107
(GBE_BIN30030510)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 UACR [> 30 mg/g] urinary albumin to creatinine ratio 1,040
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001107/ScoringFiles/PGS001107.txt.gz
PGS001967
(portability-PLR_log_microalbumin_urine)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Microalbumin in urine urinary microalbumin measurement 948
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001967/ScoringFiles/PGS001967.txt.gz
PGS001980
(portability-PLR_log_urea)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Urea urea measurement 56,782
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001980/ScoringFiles/PGS001980.txt.gz
PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Microalbumin in urine urinary microalbumin measurement 671,610
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002185/ScoringFiles/PGS002185.txt.gz
PGS002198
(portability-ldpred2_log_urea)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Urea urea measurement 820,118
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002198/ScoringFiles/PGS002198.txt.gz
PGS003553
(cont-decay-log_urea)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Urea urea measurement 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003553/ScoringFiles/PGS003553.txt.gz
PGS004331
(X30670.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Urea (mmol/L) urea measurement 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004331/ScoringFiles/PGS004331.txt.gz
PGS004739
(BUN_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Urea urea measurement 587,237
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004739/ScoringFiles/PGS004739.txt.gz
PGS004740
(BUN_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Urea urea measurement 1,499,858
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004740/ScoringFiles/PGS004740.txt.gz
PGS004741
(BUN_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Urea urea measurement 1,178,386
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004741/ScoringFiles/PGS004741.txt.gz
PGS004742
(BUN_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Urea urea measurement 1,499,858
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004742/ScoringFiles/PGS004742.txt.gz
PGS004897
(UACR)
 PGP000623 |
Cañadas-Garre M et al. Int J Mol Sci (2023)
 Urinary albumin-to-creatinine ratio urinary albumin to creatinine ratio 28
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004897/ScoringFiles/PGS004897.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
PPM001418 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS000724|
African Ancestry|
2,679 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Microalbumin in urine [mg/L] — — R²: 0.02307
Spearman's ρ: 0.013		 Age, sex, PCs(1-40) —
PPM001453 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS000725|
East Asian Ancestry|
323 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Microalbumin in urine [mg/L] — — R²: 0.00102
Spearman's ρ: 0.098		 Age, sex, PCs(1-40) —
PPM001488 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS000726|
European Ancestry|
7,133 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Microalbumin in urine [mg/L] — — R²: 0.02086
Spearman's ρ: 0.023		 Age, sex, PCs(1-40) —
PPM001523 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS000727|
South Asian Ancestry|
2,560 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Microalbumin in urine [mg/L] — — R²: 0.02677
Spearman's ρ: 0.053		 Age, sex, PCs(1-40) —
PPM001558 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS000728|
European Ancestry|
19,352 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Microalbumin in urine [mg/L] — — R²: 0.02007
Spearman's ρ: 0.021		 Age, sex, PCs(1-40) —
PPM001594 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS000834|
European Ancestry|
1,998 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Microalbumin in urine [mg/L] — — Spearman's ρ: 0.017 Age, sex —
PPM007375 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS007046|
African Ancestry|
2,909 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Microalbumin in urine — — R²: 0.00508 [0.00163, 0.00852]
Incremental R2 (full-covars): 0.0
PGS R2 (no covariates): 0.0 [-0.00007, 0.00008]		 age, sex, UKB array type, Genotype PCs —
PPM007376 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS007047|
East Asian Ancestry|
510 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Microalbumin in urine — — R²: 0.08744 [0.06187, 0.11301]
Incremental R2 (full-covars): 2e-05
PGS R2 (no covariates): 0.00542 [-0.00152, 0.01236]		 age, sex, UKB array type, Genotype PCs —
PPM007377 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS007048|
European Ancestry|
7,647 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Microalbumin in urine — — R²: 0.00869 [0.00639, 0.01098]
Incremental R2 (full-covars): 0.0
PGS R2 (no covariates): 0.00037 [-0.00011, 0.00085]		 age, sex, UKB array type, Genotype PCs —
PPM007378 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS007049|
South Asian Ancestry|
2,749 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Microalbumin in urine — — R²: 0.00601 [0.0026, 0.00942]
Incremental R2 (full-covars): 0.0
PGS R2 (no covariates): 0.00099 [-0.0004, 0.00238]		 age, sex, UKB array type, Genotype PCs —
PPM007379 PGS000690
(snpnet.Microalbumin_in_urine)
 PSS007050|
European Ancestry|
20,988 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Microalbumin in urine — — R²: 0.00188 [0.00123, 0.00254]
Incremental R2 (full-covars): 0.0
PGS R2 (no covariates): 6e-05 [-0.00006, 0.00018]		 age, sex, UKB array type, Genotype PCs —
PPM001423 PGS000695
(snpnet.Sodium_in_urine)
 PSS000749|
African Ancestry|
5,781 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Sodium in urine [mmol/L] — — R²: 0.0456
Spearman's ρ: 0.029		 Age, sex, PCs(1-40) —
PPM001458 PGS000695
(snpnet.Sodium_in_urine)
 PSS000750|
East Asian Ancestry|
1,044 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Sodium in urine [mmol/L] — — R²: 0.09743
Spearman's ρ: 0.068		 Age, sex, PCs(1-40) —
PPM001493 PGS000695
(snpnet.Sodium_in_urine)
 PSS000751|
European Ancestry|
22,812 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Sodium in urine [mmol/L] — — R²: 0.11027
Spearman's ρ: 0.077		 Age, sex, PCs(1-40) —
PPM001528 PGS000695
(snpnet.Sodium_in_urine)
 PSS000752|
South Asian Ancestry|
6,993 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Sodium in urine [mmol/L] — — R²: 0.06605
Spearman's ρ: 0.059		 Age, sex, PCs(1-40) —
PPM001563 PGS000695
(snpnet.Sodium_in_urine)
 PSS000753|
European Ancestry|
62,011 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Sodium in urine [mmol/L] — — R²: 0.09883
Spearman's ρ: 0.09		 Age, sex, PCs(1-40) —
PPM001588 PGS000695
(snpnet.Sodium_in_urine)
 PSS000836|
European Ancestry|
2,117 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Sodium in urine [mmol/L] — — Spearman's ρ: 0.059 Age, sex —
PPM007400 PGS000695
(snpnet.Sodium_in_urine)
 PSS007061|
African Ancestry|
6,233 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Sodium in urine — — R²: 0.05917 [0.04805, 0.07029]
Incremental R2 (full-covars): 5e-05
PGS R2 (no covariates): 0.00059 [-0.00059, 0.00177]		 age, sex, UKB array type, Genotype PCs —
PPM007401 PGS000695
(snpnet.Sodium_in_urine)
 PSS007062|
East Asian Ancestry|
1,643 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Sodium in urine — — R²: 0.08627 [0.06084, 0.11171]
Incremental R2 (full-covars): 0.00013
PGS R2 (no covariates): 0.00482 [-0.00173, 0.01137]		 age, sex, UKB array type, Genotype PCs —
PPM007402 PGS000695
(snpnet.Sodium_in_urine)
 PSS007063|
European Ancestry|
24,080 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Sodium in urine — — R²: 0.09373 [0.08684, 0.10062]
Incremental R2 (full-covars): 0.00019
PGS R2 (no covariates): 0.00572 [0.00385, 0.00758]		 age, sex, UKB array type, Genotype PCs —
PPM007403 PGS000695
(snpnet.Sodium_in_urine)
 PSS007064|
South Asian Ancestry|
7,459 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Sodium in urine — — R²: 0.05861 [0.04852, 0.0687]
Incremental R2 (full-covars): 0.00012
PGS R2 (no covariates): 0.00376 [0.00105, 0.00646]		 age, sex, UKB array type, Genotype PCs —
PPM007404 PGS000695
(snpnet.Sodium_in_urine)
 PSS007065|
European Ancestry|
65,531 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Sodium in urine — — R²: 0.07284 [0.06906, 0.07661]
Incremental R2 (full-covars): 0.00025
PGS R2 (no covariates): 0.00836 [0.00699, 0.00973]		 age, sex, UKB array type, Genotype PCs —
PPM002203 PGS000822
(GRS_UACR)
 PSS001079|
European Ancestry|
232,751 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Microalbuminuria — — Odds Ratio (OR, top 25% vs bottom 25%): 1.69 [1.64, 1.75]
Beta (top 25% vs bottom 25%): 0.527 (0.018)		 — —
PPM002204 PGS000822
(GRS_UACR)
 PSS001074|
European Ancestry|
182,870 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Disorders of lipid metabolism OR: 1.58
β: 0.46 (0.07)		 — — PCs(1-10), sex —
PPM002206 PGS000822
(GRS_UACR)
 PSS001074|
European Ancestry|
182,870 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Mixed hyperlipidemia OR: 1.69
β: 0.53 (0.11)		 — — PCs(1-10), sex —
PPM002207 PGS000822
(GRS_UACR)
 PSS001078|
European Ancestry|
121,142 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Fuchs' dystrophy OR: 6.68 [3.06, 14.59]
β: 1.9 (0.4)		 — — PCs(1-10), sex —
PPM002208 PGS000822
(GRS_UACR)
 PSS001073|
European Ancestry|
182,884 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Hypertension OR: 1.38
β: 0.32 (0.07)		 — — PCs(1-10), sex —
PPM002209 PGS000822
(GRS_UACR)
 PSS001073|
European Ancestry|
182,884 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Essential hypertension OR: 1.37
β: 0.32 (0.07)		 — — PCs(1-10), sex —
PPM002210 PGS000822
(GRS_UACR)
 PSS001077|
European Ancestry|
186,343 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Proteinuria OR: 2.7 [1.76, 4.14]
β: 0.99 (0.22)		 — — PCs(1-10), sex —
PPM002205 PGS000822
(GRS_UACR)
 PSS001074|
European Ancestry|
182,870 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Hyperlipidemia OR: 1.58
β: 0.46 (0.07)		 — — PCs(1-10), sex —
PPM002212 PGS000822
(GRS_UACR)
 PSS001075|
European Ancestry|
188,088 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Gout and other crystal arthropathies OR: 1.58
β: 0.46 (0.1)		 — — PCs(1-10), sex —
PPM002213 PGS000822
(GRS_UACR)
 PSS001076|
European Ancestry|
73,407 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Hypercholesterolemia OR: 1.47
β: 0.39 (0.09)		 — — PCs(1-10), sex —
PPM002211 PGS000822
(GRS_UACR)
 PSS001075|
European Ancestry|
188,088 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Gout OR: 1.6
β: 0.47 (0.1)		 — — PCs(1-10), sex —
PPM021122 PGS000822
(GRS_UACR)
 PSS011530|
African Ancestry|
288 individuals
 PGP000613 |
Rashkin SR et al. Br J Haematol (2021)
|Ext.		 Reported Trait: Time to albuminuria in children with sickle cell anaemia HR: 1.49
β: 0.4 (0.17)		 — — Sex, hydroxycarbamide duration, chronic transfusion duration, first 5 PCs Only 45 of 59 SNPs were used for score calculation based on MAF > 0.05
PPM021123 PGS000822
(GRS_UACR)
 PSS011530|
African Ancestry|
288 individuals
 PGP000613 |
Rashkin SR et al. Br J Haematol (2021)
|Ext.		 Reported Trait: Time to albuminuria in children with sickle cell anaemia HR: 1.46
β: 0.38 (0.16)		 — — Sex, hydroxycarbamide duration, chronic transfusion duration, first 5 PCs, known sickle cell anaemia chronic kidney disease risk factors (α-thalessemia allele -α deletion, APOL1, BCL11A SNP rs1427407, HMOX1 SNP rs743811) Only 45 of 59 SNPs were used for score calculation based on MAF > 0.05
PPM002388 PGS000861
(UACR)
 PSS001086|
European Ancestry|
3,194 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Autoimmune Diabetes OR: 1.06 [0.96, 1.17] — — PC1-10 —
PPM002389 PGS000861
(UACR)
 PSS001087|
European Ancestry|
3,930 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.02 [0.95, 1.09] — — PC1-10 —
PPM002390 PGS000861
(UACR)
 PSS001088|
European Ancestry|
3,869 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.05 [0.98, 1.13] — — PC1-10 —
PPM002391 PGS000861
(UACR)
 PSS001085|
European Ancestry|
4,116 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Obesity-related Diabetes OR: 1.06 [0.99, 1.13] — — PC1-10 —
PPM002392 PGS000861
(UACR)
 PSS001084|
European Ancestry|
5,597 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Age-Related Diabetes OR: 0.97 [0.92, 1.02] — — PC1-10 —
PPM007668 PGS000972
(GBE_BIN10030500)
 PSS003612|
African Ancestry|
6,237 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Microalbumin > 40 mg/L — AUROC: 0.56401 [0.54377, 0.58425] R²: 0.01367
Incremental AUROC (full-covars): 0.00172
PGS R2 (no covariates): 0.00077
PGS AUROC (no covariates): 0.51727 [0.49741, 0.53712]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007669 PGS000972
(GBE_BIN10030500)
 PSS003613|
East Asian Ancestry|
1,644 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Microalbumin > 40 mg/L — AUROC: 0.62489 [0.57557, 0.6742] R²: 0.03696
Incremental AUROC (full-covars): 0.02692
PGS R2 (no covariates): 0.00868
PGS AUROC (no covariates): 0.55027 [0.49859, 0.60195]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007670 PGS000972
(GBE_BIN10030500)
 PSS003614|
European Ancestry|
24,117 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Microalbumin > 40 mg/L — AUROC: 0.62147 [0.60789, 0.63506] R²: 0.03174
Incremental AUROC (full-covars): 0.00857
PGS R2 (no covariates): 0.00473
PGS AUROC (no covariates): 0.5459 [0.53225, 0.55954]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007671 PGS000972
(GBE_BIN10030500)
 PSS003615|
South Asian Ancestry|
7,468 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Microalbumin > 40 mg/L — AUROC: 0.60772 [0.58839, 0.62705] R²: 0.0303
Incremental AUROC (full-covars): 0.01148
PGS R2 (no covariates): 0.00728
PGS AUROC (no covariates): 0.54792 [0.52849, 0.56735]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007672 PGS000972
(GBE_BIN10030500)
 PSS003616|
European Ancestry|
65,587 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Microalbumin > 40 mg/L — AUROC: 0.61261 [0.60404, 0.62118] R²: 0.02634
Incremental AUROC (full-covars): 0.01117
PGS R2 (no covariates): 0.00557
PGS AUROC (no covariates): 0.54793 [0.53935, 0.5565]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008274 PGS001107
(GBE_BIN30030510)
 PSS003691|
African Ancestry|
6,237 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: UACR > 30 mg/g — AUROC: 0.60139 [0.57512, 0.62766] R²: 0.02227
Incremental AUROC (full-covars): 0.00185
PGS R2 (no covariates): 0.0009
PGS AUROC (no covariates): 0.51848 [0.49256, 0.5444]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008275 PGS001107
(GBE_BIN30030510)
 PSS003692|
East Asian Ancestry|
1,644 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: UACR > 30 mg/g — AUROC: 0.6001 [0.54392, 0.65627] R²: 0.0208
Incremental AUROC (full-covars): 0.00975
PGS R2 (no covariates): 0.0014
PGS AUROC (no covariates): 0.52126 [0.46633, 0.57618]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008276 PGS001107
(GBE_BIN30030510)
 PSS003693|
European Ancestry|
24,116 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: UACR > 30 mg/g — AUROC: 0.60907 [0.59174, 0.6264] R²: 0.02214
Incremental AUROC (full-covars): 0.00893
PGS R2 (no covariates): 0.00475
PGS AUROC (no covariates): 0.55009 [0.53261, 0.56756]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008277 PGS001107
(GBE_BIN30030510)
 PSS003694|
South Asian Ancestry|
7,468 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: UACR > 30 mg/g — AUROC: 0.59327 [0.5705, 0.61603] R²: 0.01969
Incremental AUROC (full-covars): 0.00691
PGS R2 (no covariates): 0.00348
PGS AUROC (no covariates): 0.53695 [0.51465, 0.55924]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008278 PGS001107
(GBE_BIN30030510)
 PSS003695|
European Ancestry|
65,586 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: UACR > 30 mg/g — AUROC: 0.59969 [0.58899, 0.61039] R²: 0.01679
Incremental AUROC (full-covars): 0.00782
PGS R2 (no covariates): 0.00362
PGS AUROC (no covariates): 0.54388 [0.53304, 0.55472]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM010611 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS009456|
European Ancestry|
6,053 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0727 [0.0475, 0.0977] sex, age, birth date, deprivation index, 16 PCs —
PPM010612 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS009230|
European Ancestry|
1,215 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0331 [-0.0236, 0.0897] sex, age, birth date, deprivation index, 16 PCs —
PPM010613 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS008784|
European Ancestry|
2,128 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0845 [0.042, 0.1268] sex, age, birth date, deprivation index, 16 PCs —
PPM010614 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS008558|
Greater Middle Eastern Ancestry|
426 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0716 [-0.0259, 0.1677] sex, age, birth date, deprivation index, 16 PCs —
PPM010615 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS008336|
South Asian Ancestry|
2,181 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0304 [-0.0118, 0.0725] sex, age, birth date, deprivation index, 16 PCs —
PPM010616 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS008113|
East Asian Ancestry|
505 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0357 [-0.0535, 0.1243] sex, age, birth date, deprivation index, 16 PCs —
PPM010617 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS007900|
African Ancestry|
1,112 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0224 [-0.037, 0.0816] sex, age, birth date, deprivation index, 16 PCs —
PPM010618 PGS001967
(portability-PLR_log_microalbumin_urine)
 PSS009004|
African Ancestry|
1,818 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0185 [-0.0278, 0.0647] sex, age, birth date, deprivation index, 16 PCs —
PPM010715 PGS001980
(portability-PLR_log_urea)
 PSS009468|
European Ancestry|
18,989 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2537 [0.2404, 0.267] sex, age, birth date, deprivation index, 16 PCs —
PPM010717 PGS001980
(portability-PLR_log_urea)
 PSS008796|
European Ancestry|
6,320 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2435 [0.2201, 0.2665] sex, age, birth date, deprivation index, 16 PCs —
PPM010718 PGS001980
(portability-PLR_log_urea)
 PSS008570|
Greater Middle Eastern Ancestry|
1,124 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2276 [0.1709, 0.2828] sex, age, birth date, deprivation index, 16 PCs —
PPM010719 PGS001980
(portability-PLR_log_urea)
 PSS008348|
South Asian Ancestry|
6,003 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2101 [0.1858, 0.2342] sex, age, birth date, deprivation index, 16 PCs —
PPM010720 PGS001980
(portability-PLR_log_urea)
 PSS008125|
East Asian Ancestry|
1,715 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.1944 [0.1481, 0.2398] sex, age, birth date, deprivation index, 16 PCs —
PPM010721 PGS001980
(portability-PLR_log_urea)
 PSS007912|
African Ancestry|
2,345 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.16 [0.1202, 0.1994] sex, age, birth date, deprivation index, 16 PCs —
PPM010722 PGS001980
(portability-PLR_log_urea)
 PSS009016|
African Ancestry|
3,655 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.0842 [0.0518, 0.1164] sex, age, birth date, deprivation index, 16 PCs —
PPM010716 PGS001980
(portability-PLR_log_urea)
 PSS009242|
European Ancestry|
3,950 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2562 [0.2268, 0.2852] sex, age, birth date, deprivation index, 16 PCs —
PPM012327 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS009456|
European Ancestry|
6,053 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.094 [0.0689, 0.119] sex, age, birth date, deprivation index, 16 PCs —
PPM012328 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS009230|
European Ancestry|
1,215 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0501 [-0.0067, 0.1065] sex, age, birth date, deprivation index, 16 PCs —
PPM012329 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS008784|
European Ancestry|
2,128 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0718 [0.0292, 0.1142] sex, age, birth date, deprivation index, 16 PCs —
PPM012331 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS008336|
South Asian Ancestry|
2,181 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0771 [0.0351, 0.1189] sex, age, birth date, deprivation index, 16 PCs —
PPM012332 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS008113|
East Asian Ancestry|
505 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0772 [-0.0119, 0.1651] sex, age, birth date, deprivation index, 16 PCs —
PPM012333 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS007900|
African Ancestry|
1,112 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0198 [-0.0395, 0.0791] sex, age, birth date, deprivation index, 16 PCs —
PPM012334 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS009004|
African Ancestry|
1,818 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0669 [0.0207, 0.1127] sex, age, birth date, deprivation index, 16 PCs —
PPM012330 PGS002185
(portability-ldpred2_log_microalbumin_urine)
 PSS008558|
Greater Middle Eastern Ancestry|
426 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Microalbumin in urine — — Partial Correlation (partial-r): 0.0693 [-0.0282, 0.1655] sex, age, birth date, deprivation index, 16 PCs —
PPM012431 PGS002198
(portability-ldpred2_log_urea)
 PSS009468|
European Ancestry|
18,989 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2506 [0.2372, 0.2639] sex, age, birth date, deprivation index, 16 PCs —
PPM012432 PGS002198
(portability-ldpred2_log_urea)
 PSS009242|
European Ancestry|
3,950 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2538 [0.2243, 0.2828] sex, age, birth date, deprivation index, 16 PCs —
PPM012433 PGS002198
(portability-ldpred2_log_urea)
 PSS008796|
European Ancestry|
6,320 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2434 [0.2201, 0.2665] sex, age, birth date, deprivation index, 16 PCs —
PPM012434 PGS002198
(portability-ldpred2_log_urea)
 PSS008570|
Greater Middle Eastern Ancestry|
1,124 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.229 [0.1723, 0.2842] sex, age, birth date, deprivation index, 16 PCs —
PPM012436 PGS002198
(portability-ldpred2_log_urea)
 PSS008125|
East Asian Ancestry|
1,715 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.1944 [0.1482, 0.2398] sex, age, birth date, deprivation index, 16 PCs —
PPM012437 PGS002198
(portability-ldpred2_log_urea)
 PSS007912|
African Ancestry|
2,345 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.1588 [0.1189, 0.1982] sex, age, birth date, deprivation index, 16 PCs —
PPM012438 PGS002198
(portability-ldpred2_log_urea)
 PSS009016|
African Ancestry|
3,655 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.0872 [0.0548, 0.1194] sex, age, birth date, deprivation index, 16 PCs —
PPM012435 PGS002198
(portability-ldpred2_log_urea)
 PSS008348|
South Asian Ancestry|
6,003 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Urea — — Partial Correlation (partial-r): 0.2054 [0.181, 0.2296] sex, age, birth date, deprivation index, 16 PCs —
PPM017481 PGS003553
(cont-decay-log_urea)
 PSS010919|
European Ancestry|
19,108 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.06 sex, age, deprivation index, PC1-16 —
PPM017565 PGS003553
(cont-decay-log_urea)
 PSS010835|
European Ancestry|
3,939 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.07 sex, age, deprivation index, PC1-16 —
PPM017649 PGS003553
(cont-decay-log_urea)
 PSS010667|
European Ancestry|
6,168 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.06 sex, age, deprivation index, PC1-16 —
PPM017733 PGS003553
(cont-decay-log_urea)
 PSS010583|
Greater Middle Eastern Ancestry|
1,095 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017817 PGS003553
(cont-decay-log_urea)
 PSS010247|
European Ancestry|
2,235 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.06 sex, age, deprivation index, PC1-16 —
PPM017901 PGS003553
(cont-decay-log_urea)
 PSS010499|
South Asian Ancestry|
5,949 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM017985 PGS003553
(cont-decay-log_urea)
 PSS010415|
East Asian Ancestry|
1,704 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM018069 PGS003553
(cont-decay-log_urea)
 PSS010331|
African Ancestry|
2,333 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.02 sex, age, deprivation index, PC1-16 —
PPM018153 PGS003553
(cont-decay-log_urea)
 PSS010751|
African Ancestry|
3,626 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Urea — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM020446 PGS004331
(X30670.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Urea (mmol/L) — — PGS R2 (no covariates): 0.16618 — —
PPM020964 PGS004739
(BUN_PRSmix_eur)
 PSS011461|
European Ancestry|
5,760 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Urea — — Incremental R2 (Full model versus model with only covariates): 0.023 [0.016, 0.031] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020965 PGS004740
(BUN_PRSmix_sas)
 PSS011462|
South Asian Ancestry|
6,087 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Urea — — Incremental R2 (Full model versus model with only covariates): 0.014 [0.008, 0.019] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020966 PGS004741
(BUN_PRSmixPlus_eur)
 PSS011461|
European Ancestry|
5,760 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Urea — — Incremental R2 (Full model versus model with only covariates): 0.028 [0.019, 0.036] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020967 PGS004742
(BUN_PRSmixPlus_sas)
 PSS011462|
South Asian Ancestry|
6,087 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Urea — — Incremental R2 (Full model versus model with only covariates): 0.016 [0.009, 0.022] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021278 PGS004897
(UACR)
 PSS011675|
European Ancestry|
389,206 individuals
 PGP000623 |
Cañadas-Garre M et al. Int J Mol Sci (2023)
 Reported Trait: Microalbuminuria OR: 1.045 [1.003, 1.089] — R²: 0.028 Age, sex, BMI, anti-hypertensive medication, cholesterol medication, diabetes, smoking history, insulin —
PPM021279 PGS004897
(UACR)
 PSS011675|
European Ancestry|
389,206 individuals
 PGP000623 |
Cañadas-Garre M et al. Int J Mol Sci (2023)
 Reported Trait: Urinary albumin-to-creatinine ratio β: 0.015 (0.004) — R²: 0.093 Age, sex, BMI, anti-hypertensive medication, cholesterol medication, diabetes, smoking history, insulin —

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
PSS001073 Cases were individuals with hypertension. Of the 136,370 cases, 136,053 had essential hypertension. —
[
  • 136,370 cases
  • , 46,514 controls
]
 — European — MVP —
PSS001074 Cases were individuals with disorders of lipid metabolism. Of the 141,461 cases, 141,331 had hyperlipidemia and 19,150 had mixed hyperlipidemia. —
[
  • 141,461 cases
  • , 41,409 controls
]
 — European — MVP —
PSS001075 Cases were individuals with gout and other crystal arthropathies. Of the 15,484 cases, 15,011 specifically, had gout. —
[
  • 15,484 cases
  • , 172,524 controls
]
 — European — MVP —
PSS001076 Cases were individuals with hypercholesterolemia. —
[
  • 31,998 cases
  • , 41,409 controls
]
 — European — MVP —
PSS001077 Cases were individuals with proteinuria. —
[
  • 3,122 cases
  • , 183,221 controls
]
 — European — MVP —
PSS001078 Cases were individuals with Fuchs' disease. —
[
  • 874 cases
  • , 120,268 controls
]
 — European — MVP —
PSS001079 Cases were individuals with microalbuminuria (MA). MA was defined by a urinary albumin to creatinine ratio (UACR) > 30 mg/g. —
[
  • 30,014 cases
  • , 202,737 controls
]
 — European — UKB Possible sample overlap (up to 41%) between this dataset and the dataset used to source GRS_UACR.
PSS010919 — — 19,108 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS008784 — — 2,128 individuals — European Italy (South Europe) UKB —
PSS010667 — — 6,168 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS010415 — — 1,704 individuals,
33.0 % Male samples
 Mean = 52.4 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS011461 — — 5,760 individuals — European — AllofUs —
PSS011462 — — 6,087 individuals — South Asian — G&H —
PSS011530 Albuminuria was defined by a urine albumin to creatinine ratio (UCAR) of > 30mg/g. Time to albuminuria was defined as the age at first instance of UACR > 30mg/g during follow-up. Mean = 3.54 years
Sd = 3.02 years
[
  • 60 cases
  • , 228 controls
]
,
52.08 % Male samples
 Mean = 8.1 years
Sd = 3.7 years		 African American or Afro-Caribbean — SCCRIP —
PSS007900 — — 1,112 individuals — African American or Afro-Caribbean Carribean UKB —
PSS008796 — — 6,320 individuals — European Italy (South Europe) UKB —
PSS000834 — — 1,998 individuals — European Participants self-identifying as white MESA —
PSS000836 — — 2,117 individuals — European Participants self-identifying as white MESA —
PSS007912 — — 2,345 individuals — African American or Afro-Caribbean Carribean UKB —
PSS008558 — — 426 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009456 — — 6,053 individuals — European UK (+ Ireland) UKB —
PSS000724 — — 2,679 individuals — African unspecified — UKB —
PSS000725 — — 323 individuals — East Asian — UKB —
PSS000726 — — 7,133 individuals — European Non-British White UKB —
PSS000727 — — 2,560 individuals — South Asian — UKB —
PSS000728 — — 19,352 individuals — European
(British)		 — UKB —
PSS003691 — —
[
  • 479 cases
  • , 5,758 controls
]
 — African unspecified — UKB —
PSS003692 — —
[
  • 108 cases
  • , 1,536 controls
]
 — East Asian — UKB —
PSS003693 — —
[
  • 1,130 cases
  • , 22,986 controls
]
 — European non-white British ancestry UKB —
PSS003694 — —
[
  • 706 cases
  • , 6,762 controls
]
 — South Asian — UKB —
PSS003695 — —
[
  • 2,854 cases
  • , 62,732 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls —
[
  • 2,853 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls —
[
  • 1,372 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls —
[
  • 450 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls —
[
  • 1,186 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls —
[
  • 1,125 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS009468 — — 18,989 individuals — European UK (+ Ireland) UKB —
PSS008570 — — 1,124 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS010835 — — 3,939 individuals,
38.0 % Male samples
 Mean = 54.4 years
Sd = 7.5 years		 European Polish UKB —
PSS010583 — — 1,095 individuals,
60.0 % Male samples
 Mean = 51.9 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS010331 — — 2,333 individuals,
37.0 % Male samples
 Mean = 52.5 years
Sd = 8.1 years		 African American or Afro-Caribbean Caribbean UKB —
PSS000749 — — 5,781 individuals — African unspecified — UKB —
PSS000750 — — 1,044 individuals — East Asian — UKB —
PSS000751 — — 22,812 individuals — European Non-British White UKB —
PSS000752 — — 6,993 individuals — South Asian — UKB —
PSS000753 — — 62,011 individuals — European
(British)		 — UKB —
PSS007046 — — 2,909 individuals — African unspecified — UKB —
PSS007047 — — 510 individuals — East Asian — UKB —
PSS007048 — — 7,647 individuals — European non-white British ancestry UKB —
PSS007049 — — 2,749 individuals — South Asian — UKB —
PSS007050 — — 20,988 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS009230 — — 1,215 individuals — European Poland (NE Europe) UKB —
PSS008336 — — 2,181 individuals — South Asian India (South Asia) UKB —
PSS009242 — — 3,950 individuals — European Poland (NE Europe) UKB —
PSS008348 — — 6,003 individuals — South Asian India (South Asia) UKB —
PSS007061 — — 6,233 individuals — African unspecified — UKB —
PSS007062 — — 1,643 individuals — East Asian — UKB —
PSS007063 — — 24,080 individuals — European non-white British ancestry UKB —
PSS007064 — — 7,459 individuals — South Asian — UKB —
PSS007065 — — 65,531 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS011364 — — 56,192 individuals — European — UKB —
PSS003612 — —
[
  • 933 cases
  • , 5,304 controls
]
 — African unspecified — UKB —
PSS003613 — —
[
  • 142 cases
  • , 1,502 controls
]
 — East Asian — UKB —
PSS003614 — —
[
  • 1,842 cases
  • , 22,275 controls
]
 — European non-white British ancestry UKB —
PSS003615 — —
[
  • 982 cases
  • , 6,486 controls
]
 — South Asian — UKB —
PSS003616 — —
[
  • 4,718 cases
  • , 60,869 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS010499 — — 5,949 individuals,
54.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS010751 — — 3,626 individuals,
46.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS009004 — — 1,818 individuals — African unspecified Nigeria (West Africa) UKB —
PSS010247 — — 2,235 individuals,
45.0 % Male samples
 Mean = 58.1 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS011675 — — 389,206 individuals,
46.1 % Male samples
 Mean = 56.9 years
Sd = 8.0 years		 European — UKB —
PSS008113 — — 505 individuals — East Asian China (East Asia) UKB —
PSS009016 — — 3,655 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008125 — — 1,715 individuals — East Asian China (East Asia) UKB —