Trait: urinary albumin to creatinine ratio

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007778
Description quantification of the ratio of albumin to creatinine in a urine sample
Trait category
Other 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
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)
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
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
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
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 —
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
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.
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 —
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 —
PSS011675 — — 389,206 individuals,
46.1 % Male samples
 Mean = 56.9 years
Sd = 8.0 years		 European — UKB —