Polygenic Score (PGS) ID: PGS002361

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

Score Construction
PGS Name disease_CARDIOVASCULAR.BOLT-LMM-BBJ
Development Method
Name BOLT-LMM-BBJ
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 920,929
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)
East Asian: 100%
124,000 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)
— 124,000 individuals East Asian BBJ

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
PPM013273 PSS009707|
African Ancestry|
6,503 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Cardiovascular disease — — Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013319 PSS009709|
European Ancestry|
43,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Cardiovascular disease — — Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013342 PSS009710|
South Asian Ancestry|
8,098 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Cardiovascular disease — — Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013296 PSS009708|
East Asian Ancestry|
922 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Cardiovascular disease — — Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age*sex, assessment center, genotyping array, 10 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
PSS009708 — — 922 individuals — East Asian — UKB —
PSS009709 — — 43,505 individuals — European Non-British European UKB —
PSS009710 — — 8,098 individuals — South Asian — UKB —
PSS009707 — — 6,503 individuals — African unspecified — UKB —