Trait: urinary microalbumin measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0010967
Description The quantification of microalbumin in urine.
Trait category
Other measurement
Mapped term PMID:33462484

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)
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
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
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
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

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 —
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
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 —
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 —

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
PSS008784 — — 2,128 individuals — European Italy (South Europe) UKB —
PSS007900 — — 1,112 individuals — African American or Afro-Caribbean Carribean UKB —
PSS000834 — — 1,998 individuals — European Participants self-identifying as white MESA —
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 —
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 —
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)
PSS009004 — — 1,818 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008113 — — 505 individuals — East Asian China (East Asia) UKB —