Polygenic Score (PGS) ID: PGS002553

Predicted Trait
Reported Trait High cholesterol
Mapped Trait(s) Hypercholesterolemia (HP_0003124)
Released in PGS Catalog: June 9, 2022
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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 disease_HI_CHOL_SELF_REP.P+T.1e-06
Development Method
Name Pruning and Thresholding (P+T)
Parameters p < 1e-06
Variants
Original Genome Build GRCh37
Number of Variants 810
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%
337,488 individuals (100%)
PGS Evaluation
African: 25%
East Asian: 25%
European: 25%
South Asian: 25%
4 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
—337,488 individualsEuropeanUKB
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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
PPM013975PSS009779|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High cholesterol——Incremental R2 (full model vs. covariates alone): 0.0002age, sex, age*sex, assessment center, genotyping array, 10 PCs—
PPM014024PSS009780|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High cholesterol——Incremental R2 (full model vs. covariates alone): 0.0003age, sex, age*sex, assessment center, genotyping array, 10 PCs—
PPM014073PSS009781|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High cholesterol——Incremental R2 (full model vs. covariates alone): 0.0118age, sex, age*sex, assessment center, genotyping array, 10 PCs—
PPM014122PSS009782|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High cholesterol——Incremental R2 (full model vs. covariates alone): 0.0079age, sex, age*sex, assessment center, genotyping array, 10 PCs—
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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
PSS009779——6,503 individuals—African unspecified—UKB—
PSS009780——922 individuals—East Asian—UKB—
PSS009781——43,505 individuals—EuropeanNon-British EuropeanUKB—
PSS009782——8,098 individuals—South Asian—UKB—
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