PGS Publication: PGP000289

Publication Information (EuropePMC)
Title A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study.
PubMed ID 35195259(Europe PMC)
doi 10.1093/eurheartj/ehac093
Publication Date Feb. 23, 2022
Journal Eur Heart J
Author(s) Lu X, Liu Z, Cui Q, Liu F, Li J, Niu X, Shen C, Hu D, Huang K, Chen J, Xing X, Zhao Y, Lu F, Liu X, Cao J, Chen S, Ma H, Yu L, Wu X, Wu X, Li Y, Zhang H, Mo X, Zhao L, Huang J, Wang L, Wen W, Shu XO, Takeuchi F, Koh WP, Tai ES, Cheng CY, Wong TY, Chang X, Chan MY, Gao W, Zheng H, Chen K, Chen J, He J, Tang CS, Lam KSL, Tse HF, Cheung CYY, Takahashi A, Kubo M, Kato N, Terao C, Kamatani Y, Sham PC, Heng CK, Hu Z, Chen YE, Wu T, Shen H, Willer CJ, Gu D.
Released in PGS Catalog: March 16, 2022

Associated Polygenic Score(s)

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Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
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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)
PGS002262
(metaPRS_CAD)
 PGP000289 |
Lu X et al. Eur Heart J (2022)
 Coronary artery disease coronary artery disease 540
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002262/ScoringFiles/PGS002262.txt.gz

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
PPM012875 PGS002262
(metaPRS_CAD)
 PSS009589|
East Asian Ancestry|
41,271 individuals
 PGP000289 |
Lu X et al. Eur Heart J (2022)
 Reported Trait: Incident coronary artery disease HR: 1.44 [1.36, 1.52] C-index: 0.615 [0.598, 0.631] — — —
PPM012876 PGS002262
(metaPRS_CAD)
 PSS009589|
East Asian Ancestry|
41,271 individuals
 PGP000289 |
Lu X et al. Eur Heart J (2022)
 Reported Trait: Incident coronary artery disease — — Hazard Ratio (HR, highest vs lowest quintile): 2.91 [2.43, 3.49] — —
PPM012877 PGS002262
(metaPRS_CAD)
 PSS009589|
East Asian Ancestry|
41,271 individuals
 PGP000289 |
Lu X et al. Eur Heart J (2022)
 Reported Trait: Incident coronary artery disease (men) — — Hazard Ratio (HR, highest vs lowest quintile): 3.88 [2.94, 5.13] sex and first 4 PCs —
PPM012878 PGS002262
(metaPRS_CAD)
 PSS009589|
East Asian Ancestry|
41,271 individuals
 PGP000289 |
Lu X et al. Eur Heart J (2022)
 Reported Trait: Incident coronary artery disease (women) — — Hazard Ratio (HR, highest vs lowest quintile): 2.27 [1.78, 2.9] sex and first 4 PCs —
PPM012879 PGS002262
(metaPRS_CAD)
 PSS009589|
East Asian Ancestry|
41,271 individuals
 PGP000289 |
Lu X et al. Eur Heart J (2022)
 Reported Trait: Coronary artery disease — — Hazard Ratio (HR, highest vs lowest quintile): 5.66 [3.98, 8.04] sex, first 4 PCs and CAD family history —

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
PSS009589 — Mean = 13.0 years
[
  • 1,303 cases
  • , 39,968 controls
]
,
42.5 % Male samples
 Mean = 52.3 years
Sd = 10.6 years		 East Asian — CIMIC, ChinaMUCA-1998, InterASIA —