Polygenic Score (PGS) ID: PGS004161

Predicted Trait
Reported Trait Urate
Mapped Trait(s) urate measurement (EFO_0004531)
Released in PGS Catalog: Dec. 19, 2023
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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 UKBB_EnsPGS.GCST008972.Urate
Development Method
Name UKBB-EUR.MultiPRS.CV
Parameters an ensemble model built with GenoPred Model_builder_V2.R
Variants
Original Genome Build GRCh38
Number of Variants 1,005,478
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000517
Citation (link to publication) Monti R et al. Am J Hum Genet (2024)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 63.1%
East Asian: 27.5%
African: 7.4%
South Asian: 2%
Hispanic or Latin American: 0.1%
457,690 individuals (100%)
Score Development/Training
European: 100%
343,904 individuals (100%)
PGS Evaluation
European: 66.7%
South Asian: 33.3%
3 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
GWAS Catalog: GCST008972
Europe PMC: 31578528
288,649 individualsEuropeanNR
GWAS Catalog: GCST008972
Europe PMC: 31578528
125,725 individualsEast AsianNR
GWAS Catalog: GCST008972
Europe PMC: 31578528
33,671 individualsAfrican American or Afro-CaribbeanNR
GWAS Catalog: GCST008972
Europe PMC: 31578528
9,037 individualsSouth AsianNR
GWAS Catalog: GCST008972
Europe PMC: 31578528
608 individualsHispanic or Latin AmericanNR
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Score Development/Training
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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
—343,904 individualsEuropeanUKBdata field 30880————
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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.

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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
PPM019856PSS011250|
European Ancestry|
4,730 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: Urateβ: 0.2779 [0.25051657, 0.3052795]—R²: 0.07723 [0.06275855, 0.09319558]0beta = sd_trait/sd_pgs = pearson correlation
PPM019857PSS011292|
South Asian Ancestry|
8,842 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: Urateβ: 0.26797 [0.24789144, 0.28805852]—R²: 0.07181 [0.06145017, 0.08297771]0beta = sd_trait/sd_pgs = pearson correlation
PPM019858PSS011279|
European Ancestry|
85,973 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: Urateβ: 0.30227 [0.29590981, 0.30862317]—R²: 0.09176 [0.08794303, 0.09566207]0beta = sd_trait/sd_pgs = pearson correlation
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Evaluated Samples

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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
PSS011250——4,730 individuals—European—G&H—
PSS011279——85,973 individuals—European—UKB—
PSS011292——8,842 individuals—South Asian—UKB—
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