Trait: Non-ST Elevation Myocardial Infarction

Experimental Factor Ontology (EFO) Information
Identifier EFO_0008586
Description An electrocardiographic finding of a myocardial infarction that does not produce elevations in the ST segment of the EKG. [ NCI ]
Trait category
Cardiovascular disease
Synonyms 4 synonyms
  • NON-STEMI
  • NSTEMI
  • Non-ST Elevation Myocardial Infarction by ECG Finding
  • Non-ST Elevation Myocardial Infarction by EKG Finding
Mapped term NCIt:C80383

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:
Display options:
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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS001048
(GBE_HC1576)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
NSTEMI (algorithmically-defined) Non-ST Elevation Myocardial Infarction 687
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001048/ScoringFiles/PGS001048.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
PPM007998 PGS001048
(GBE_HC1576)
PSS004287|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: AD NSTEMI AUROC: 0.65512 [0.5866, 0.72364] : 0.02925
Incremental AUROC (full-covars): 0.00342
PGS R2 (no covariates): 0.00035
PGS AUROC (no covariates): 0.50799 [0.43141, 0.58457]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007999 PGS001048
(GBE_HC1576)
PSS004288|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: AD NSTEMI AUROC: 0.79982 [0.67861, 0.92103] : 0.1062
Incremental AUROC (full-covars): -0.01024
PGS R2 (no covariates): 0.00383
PGS AUROC (no covariates): 0.43146 [0.20864, 0.65427]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008000 PGS001048
(GBE_HC1576)
PSS004289|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: AD NSTEMI AUROC: 0.7508 [0.72681, 0.77479] : 0.07667
Incremental AUROC (full-covars): 0.00242
PGS R2 (no covariates): 0.00192
PGS AUROC (no covariates): 0.53573 [0.50331, 0.56815]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008001 PGS001048
(GBE_HC1576)
PSS004290|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: AD NSTEMI AUROC: 0.73853 [0.70755, 0.76951] : 0.08258
Incremental AUROC (full-covars): -0.0018
PGS R2 (no covariates): 0.00033
PGS AUROC (no covariates): 0.5125 [0.47119, 0.55382]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008002 PGS001048
(GBE_HC1576)
PSS004291|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: AD NSTEMI AUROC: 0.72145 [0.70591, 0.73699] : 0.06213
Incremental AUROC (full-covars): 0.004
PGS R2 (no covariates): 0.00234
PGS AUROC (no covariates): 0.54042 [0.52208, 0.55876]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method

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
PSS004287
[
  • 51 cases
  • , 6,446 controls
]
African unspecified UKB
PSS004288
[
  • 8 cases
  • , 1,696 controls
]
East Asian UKB
PSS004289
[
  • 309 cases
  • , 24,596 controls
]
European non-white British ancestry UKB
PSS004290
[
  • 195 cases
  • , 7,636 controls
]
South Asian UKB
PSS004291
[
  • 932 cases
  • , 66,493 controls
]
European white British ancestry UKB Testing cohort (heldout set)