Polygenic Score (PGS) ID: PGS002316

Predicted Trait
Reported Trait Cardiovascular disease
Mapped Trait(s) cardiovascular disease (EFO_0000319)
Released in PGS Catalog: June 9, 2022
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Terms and Licenses
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Score Details

Score Construction
PGS Name disease_CARDIOVASCULAR.BOLT-LMM
Development Method
Name BOLT-LMM
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 1,109,311
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
PPM013081PSS009707|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Cardiovascular diseaseIncremental R2 (full model vs. covariates alone): 0.009age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013130PSS009708|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Cardiovascular diseaseIncremental R2 (full model vs. covariates alone): 0.0256age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013179PSS009709|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Cardiovascular diseaseIncremental R2 (full model vs. covariates alone): 0.0419age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013228PSS009710|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Cardiovascular diseaseIncremental R2 (full model vs. covariates alone): 0.0283age, 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
PSS0097076,503 individualsAfrican unspecifiedUKB
PSS009708922 individualsEast AsianUKB
PSS00970943,505 individualsEuropeanNon-British EuropeanUKB
PSS0097108,098 individualsSouth AsianUKB
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