Polygenic Score (PGS) ID: PGS005112

Predicted Trait
Reported Trait Coronary artery disease
Mapped Trait(s) coronary artery disease (EFO_0001645)
Released in PGS Catalog: Feb. 4, 2025
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Score Details

Score Construction
PGS Name PGS_CAD
Development Method
Name PRS-CSx
Parameters PHI=AUTO
Variants
Original Genome Build GRCh37
Number of Variants 1,106,628
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000701
Citation (link to publication) Loesch DP et al. medRxiv (2024) Preprint
Ancestry Distribution
Source of Variant
Associations (GWAS)
East Asian: 55.9%
European: 35.3%
South Asian: 6.4%
Hispanic or Latin American: 1%
African: 0.8%
Greater Middle Eastern: 0.6%
400,052 individuals (100%)
PGS Evaluation
European: 50%
Multi-ancestry (including European): 50%
  • European
  • East Asian
  • South Asian
  • Hispanic or Latin American
  • African
2 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST003116
Europe PMC: 26343387
 141,217 individuals European CARDIoGRAMplusC4D
GWAS Catalog: GCST003116
Europe PMC: 26343387
 3,139 individuals African American or Afro-Caribbean CARDIoGRAMplusC4D
GWAS Catalog: GCST003116
Europe PMC: 26343387
 4,095 individuals Hispanic or Latin American CARDIoGRAMplusC4D
GWAS Catalog: GCST003116
Europe PMC: 26343387
 25,557 individuals South Asian CARDIoGRAMplusC4D
GWAS Catalog: GCST003116
Europe PMC: 26343387
 2,268 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) CARDIoGRAMplusC4D
GWAS Catalog: GCST003116
Europe PMC: 26343387
 11,323 individuals East Asian CARDIoGRAMplusC4D
GWAS Catalog: GCST90013687
Europe PMC: 32514122
 212,453 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
PPM022303 PSS011911|
Multi-ancestry (including European)|
48,603 individuals
 PGP000701 |
Loesch DP et al. medRxiv (2024)
|Pre		 Reported Trait: coronary artery disease OR: 1.45 [1.41, 1.49] — — age, age^2, sex, UKB centre, array, genetic PCS 1-20 —
PPM022314 PSS011912|
European Ancestry|
45,356 individuals
 PGP000701 |
Loesch DP et al. medRxiv (2024)
|Pre		 Reported Trait: coronary artery disease OR: 1.46 [1.42, 1.5] — — age, age^2, sex, UKB centre, array, genetic PCS 1-20 —

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
PSS011911 ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD. BMI: baseline body mass index Median = 14.8 years 48,603 individuals,
46.0 % Male samples
 Mean = 56.8 years
Sd = 8.2 years		 European, East Asian, South Asian, Hispanic or Latin American, African unspecified — UKB —
PSS011912 ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD, K76.0 for NAFLD. BMI: baseline body mass index Median = 14.8 years 45,356 individuals,
46.0 % Male samples
 Mean = 57.1 years
Sd = 8.1 years		 European — UKB —