PGS Publication: PGP000003

Publication Information (EuropePMC)
Title Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials.
PubMed ID 25748612(Europe PMC)
doi 10.1016/S0140-6736(14)61730-X
Publication Date March 4, 2015
Journal Lancet
Author(s) Mega JL, Stitziel NO, Smith JG, Chasman DI, Caulfield M, Devlin JJ, Nordio F, Hyde C, Cannon CP, Sacks F, Poulter N, Sever P, Ridker PM, Braunwald E, Melander O, Kathiresan S, Sabatine MS.
Released in PGS Catalog: Oct. 14, 2019

Associated Polygenic Score(s)

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Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
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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)
PGS000010
(GRS27)
PGP000003 |
Mega JL et al. Lancet (2015)
Coronary heart disease coronary artery disease 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000010/ScoringFiles/PGS000010.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
PPM000014 PGS000010
(GRS27)
PSS000008|
European Ancestry|
42,998 individuals
PGP000003 |
Mega JL et al. Lancet (2015)
Reported Trait: Coronary heart disease HR: 1.21 [1.17, 1.26] age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension Meta-analysis of sub-cohort effect sizes
PPM000015 PGS000010
(GRS27)
PSS000009|
European Ancestry|
4,877 individuals
PGP000003 |
Mega JL et al. Lancet (2015)
Reported Trait: Coronary heart disease HR: 1.14 [1.02, 1.28] age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension Meta-analysis of sub-cohort effect sizes

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
PSS000008 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 149 cases
  • , 6,829 controls
]
,
79.7 % Male samples
European ASCOT Primary prevention cohorts
PSS000009 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 320 cases
  • , 2,558 controls
]
,
86.1 % Male samples
European CARE_b Secondary prevention cohorts
PSS000009 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 229 cases
  • , 1,770 controls
]
,
77.5 % Male samples
European PROVEIT Secondary prevention cohorts
PSS000008 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention 27,271 individuals,
38.7 % Male samples
European
(Swedish)
MDC Primary prevention cohorts
PSS000008 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 108 cases
  • , 8,641 controls
]
,
67.8 % Male samples
European JUPITER Primary prevention cohorts