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.Show more
Released in PGS Catalog: March 16, 2022

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

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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 diseasecoronary artery disease540
G
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002262/ScoringFiles/PGS002262.txt.gz
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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)
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
PPM012875PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Incident coronary artery diseaseHR: 1.44 [1.36, 1.52]C-index: 0.615 [0.598, 0.631]
PPM012876PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Incident coronary artery diseaseHazard Ratio (HR, highest vs lowest quintile): 2.91 [2.43, 3.49]
PPM012877PGS002262
(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
PPM012878PGS002262
(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
PPM012879PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Coronary artery diseaseHazard Ratio (HR, highest vs lowest quintile): 5.66 [3.98, 8.04]sex, first 4 PCs and CAD family history
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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
PSS009589Mean = 13.0 years
[
  • 1,303 cases
  • , 39,968 controls
]
,
42.5 % Male samples
Mean = 52.3 years
Sd = 10.6 years
East AsianCIMIC, ChinaMUCA-1998, InterASIA
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