PGS Publication: PGP000787

Publication Information (EuropePMC)
Title Improving Genetic Risk Prediction of CAD in Chinese by Multi-ancestry and Multi-trait GWAS Integration.
PubMed ID 42152175(Europe PMC)
doi 10.1093/gpbjnl/qzag038
Publication Date May 18, 2026
Journal Genomics Proteomics Bioinformatics
Author(s) Wang H, Lin J, Hao X, Tang W, Wang K, Jiang M, Wu D, Lyu J, Zhu Z, Zheng Y, He M, Guo H, Zhang X, Wu T, Dai Y, Wang C.
Released in PGS Catalog: July 15, 2026

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS012530
(PRSCAD+)
 PGP000787 |
Wang H et al. Genomics Proteomics Bioinformatics (2026)
 Coronary artery disease coronary artery disorder 1,083,724
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012530/ScoringFiles/PGS012530.txt.gz - Check Terms/Licenses

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) 		Evaluated Score 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
PPM030614 PGS012530
(PRSCAD+)
 PSS012202|
East Asian Ancestry|
12,127 individuals
 PGP000787 |
Wang H et al. Genomics Proteomics Bioinformatics (2026)
 Reported Trait: coronary artery disease HR: 1.26 C-index: 0.649 — age, sex, and the first four PCs —
PPM030615 PGS012530
(PRSCAD+)
 PSS012203|
East Asian Ancestry|
5,243 individuals
 PGP000787 |
Wang H et al. Genomics Proteomics Bioinformatics (2026)
 Reported Trait: coronary artery disease OR: 2.23 AUROC: 0.786 — age, sex, and the first four 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
PSS012202 I20-I25 —
[
  • 2,360 cases
  • , 9,767 controls
]
,
43.33 % Male samples
 Mean = 60.0 years East Asian
(Chinese)		 — DFTJ —
PSS012203 CAD was defined by coronary angiography as ≥50% stenosis in ≥1 major coronary artery, which manifested as occult CAD —
[
  • 2,681 cases
  • , 2,562 controls
]
,
64.3 % Male samples
 Mean = 58.0 years East Asian
(Chinese)		 — GRAND —