Polygenic Score (PGS) ID: PGS002645

Predicted Trait
Reported Trait Glucose
Mapped Trait(s) glucose measurement (EFO_0004468)
Released in PGS Catalog: June 9, 2022
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Score Details

Score Construction
PGS Name biochemistry_Glucose.PolyFun-pred
Development Method
Name PolyFun-pred
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 412,574
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000332
Citation (link to publication) Weissbrod O et al. Nat Genet (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
291,275 individuals (100%)
PGS Evaluation
African: 25%
East Asian: 25%
European: 25%
South Asian: 25%
4 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
— 291,275 individuals European UKB

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
PPM014361 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0126 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014410 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0197 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014459 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.033 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014508 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0248 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights

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
PSS009756 — — 794 individuals — East Asian — UKB —
PSS009757 — — 37,281 individuals — European Non-British European UKB —
PSS009758 — — 6,744 individuals — South Asian — UKB —
PSS009755 — — 5,505 individuals — African unspecified — UKB —