Polygenic Score (PGS) ID: PGS000972

Predicted Trait
Reported Trait Microalbumin [> 40 mg/L]
Mapped Trait(s) urinary microalbumin measurement (EFO_0010967)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN10030500
Released in PGS Catalog: Oct. 21, 2021
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Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name GBE_BIN10030500
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 1,097
Effect Weight Type NR
PGS Source
PGS Catalog Publication (PGP) ID PGP000244
Citation (link to publication) Tanigawa Y et al. PLoS Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
261,859 individuals (100%)
PGS Evaluation
European: 40%
African: 20%
East Asian: 20%
South Asian: 20%
5 Sample Sets

Development Samples

Score Development/Training
Study Identifiers Sample Numbers Sample Ancestry Cohort(s) Phenotype Definitions & Methods Age of Study Participants Participant Follow-up Time Additional Ancestry Description Additional Sample/Cohort Information
—
[
  • 18,872 cases
  • , 242,987 controls
]
 European UKB — — — white British ancestry —

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) 		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
PPM007668 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 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 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 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 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

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
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)