PGS Publication: PGP000004

Publication Information (EuropePMC)
Title Risk prediction by genetic risk scores for coronary heart disease is independent of self-reported family history.
PubMed ID 26392438(Europe PMC)
doi 10.1093/eurheartj/ehv462
Publication Date Sept. 20, 2015
Journal Eur Heart J
Author(s) Tada H, Melander O, Louie JZ, Catanese JJ, Rowland CM, Devlin JJ, Kathiresan S, Shiffman D.
Released in PGS Catalog: Oct. 14, 2019

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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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)
PGS000011
(GRS50)
 PGP000004 |
Tada H et al. Eur Heart J (2015)
 Coronary artery disease coronary artery disease 50
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000011/ScoringFiles/PGS000011.txt.gz

External PGS Evaluated 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
PPM000016 PGS000011
(GRS50)
 PSS000010|
European Ancestry|
23,595 individuals
 PGP000004 |
Tada H et al. Eur Heart J (2015)
 Reported Trait: Incident coronary heart disease HR: 1.23 [1.18, 1.28] — — age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes —
PPM000017 PGS000010
(GRS27)
 PSS000010|
European Ancestry|
23,595 individuals
 PGP000004 |
Tada H et al. Eur Heart J (2015)
|Ext.		 Reported Trait: Incident coronary heart disease HR: 1.2 [1.15, 1.25] — — age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes —

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
PSS000010 Incident CHD was defined as coronary revascularization, fatal or nonfatal myocardial infarction, or death due to ischemic heart disease. —
[
  • 2,213 cases
  • , 21,382 controls
]
,
38.03 % Male samples
 — European
(Swedish)		 — MDC Prospective study