Polygenic Score (PGS) ID: PGS001967

Predicted Trait
Reported Trait Microalbumin in urine
Mapped Trait(s) urinary microalbumin measurement (EFO_0010967)
Additional Trait Information biological measures
Released in PGS Catalog: Jan. 10, 2022
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Score Details

Score Construction
PGS Name portability-PLR_log_microalbumin_urine
Development Method
Name Penalized regression (bigstatsr)
Parameters HapMap3 variants
Variants
Original Genome Build GRCh37
Number of Variants 948
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000263
Citation (link to publication) Privé F et al. Am J Hum Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
391,124 individuals (100%)
PGS Evaluation
European: 37.5%
African: 25%
East Asian: 12.5%
Greater Middle Eastern: 12.5%
South Asian: 12.5%
8 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
— 391,124 individuals European UKB — — — UK (+ Ireland) —

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
PPM010611 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 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 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 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 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 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 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 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 —

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
PSS009004 — — 1,818 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008558 — — 426 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009230 — — 1,215 individuals — European Poland (NE Europe) UKB —
PSS008784 — — 2,128 individuals — European Italy (South Europe) UKB —
PSS008336 — — 2,181 individuals — South Asian India (South Asia) UKB —
PSS009456 — — 6,053 individuals — European UK (+ Ireland) UKB —
PSS008113 — — 505 individuals — East Asian China (East Asia) UKB —
PSS007900 — — 1,112 individuals — African American or Afro-Caribbean Carribean UKB —