Trait: myocardial disorder

Trait Information
Identifier MONDO_0024643
Description A disorder that affects the muscle tissue of the heart. Representative examples include myocardial infarction, myocarditis, and cardiomyopathy. [NCIT: C35544]
Trait categories
Cardiovascular disease
Other disease
Synonyms 7 synonyms
  • disease of myocardium
  • disease or disorder of myocardium
  • disorder of myocardium
  • myocardial disease
  • myocardial disorder
  • myocardium disease
  • myocardium disease or disorder
Child trait(s) 4 child traits

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
Note: This table shows PGS for child terms of "myocardial disorder" in the EFO hierarchy.
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)
PGS000710
(HC326)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Myocardial infarction myocardial infarction 183,566
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000710/ScoringFiles/PGS000710.txt.gz - Check Terms/Licenses
PGS000962
(GBE_HC942)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Chronic ischaemic heart disease (time-to-event) myocardial ischemia 2,168
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000962/ScoringFiles/PGS000962.txt.gz
PGS001048
(GBE_HC1576)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 NSTEMI (algorithmically-defined) Non-ST Elevation Myocardial Infarction 687
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001048/ScoringFiles/PGS001048.txt.gz
PGS001314
(GBE_HC938)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Acute myocardial infarction (time-to-event) myocardial infarction 1,108
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001314/ScoringFiles/PGS001314.txt.gz
PGS001315
(GBE_HC326)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Myocardial infarction myocardial infarction 1,788
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001315/ScoringFiles/PGS001315.txt.gz
PGS001316
(GBE_HC1574)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Myocardial infarction (algorithmically-defined) myocardial infarction 1,831
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001316/ScoringFiles/PGS001316.txt.gz
PGS001317
(GBE_BIN_FC1006150)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Vascular/heart problems diagnosed by doctor Heart attack myocardial infarction 1,030
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001317/ScoringFiles/PGS001317.txt.gz
PGS004458
(disease.I21.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 I21 (Acute myocardial infarction) acute myocardial infarction 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004458/ScoringFiles/PGS004458.txt.gz
PGS004528
(meta.I21.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 I21 (Acute myocardial infarction) acute myocardial infarction 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004528/ScoringFiles/PGS004528.txt.gz
PGS005034
(Phe_411_2_ldpred_AFRss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005034/ScoringFiles/PGS005034.txt.gz
PGS005035
(Phe_411_2_ldpred_EURss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005035/ScoringFiles/PGS005035.txt.gz
PGS005036
(Phe_411_2_ldpred_HISss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005036/ScoringFiles/PGS005036.txt.gz
PGS005037
(Phe_411_2_ldpred_METAss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005037/ScoringFiles/PGS005037.txt.gz
PGS005038
(Phe_411_2_ldpred_METAss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005038/ScoringFiles/PGS005038.txt.gz
PGS005039
(Phe_411_2_ldpred_METAss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005039/ScoringFiles/PGS005039.txt.gz
PGS005040
(Phe_411_2_prscs_AFRss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005040/ScoringFiles/PGS005040.txt.gz
PGS005041
(Phe_411_2_prscs_EURss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005041/ScoringFiles/PGS005041.txt.gz
PGS005042
(Phe_411_2_prscs_HISss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005042/ScoringFiles/PGS005042.txt.gz
PGS005043
(Phe_411_2_prscs_METAss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005043/ScoringFiles/PGS005043.txt.gz
PGS005044
(Phe_411_2_prscs_METAss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005044/ScoringFiles/PGS005044.txt.gz
PGS005045
(Phe_411_2_prscs_METAss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005045/ScoringFiles/PGS005045.txt.gz
PGS005046
(Phe_411_2_prscsx_METAweight)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Myocardial infarction (PheCode 411.2) myocardial infarction 1,273,891
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005046/ScoringFiles/PGS005046.txt.gz
PGS018412
(MultiPRS_myocardial-infarction)
 PGP000826 |
Ometto S et al. Nat Commun (2026)
 Myocardial infarction myocardial infarction 1,105,535
-
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018412/ScoringFiles/PGS018412.txt.gz
PGS019155
(TPMI_411_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Ischemic Heart Disease myocardial ischemia 34,377
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019155/ScoringFiles/PGS019155.txt.gz
PGS019156
(TPMI_411_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Ischemic Heart Disease myocardial ischemia 939,890
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019156/ScoringFiles/PGS019156.txt.gz
PGS019157
(TPMI_411_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Ischemic Heart Disease myocardial ischemia 39,211
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019157/ScoringFiles/PGS019157.txt.gz
PGS019158
(TPMI_411_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Ischemic Heart Disease myocardial ischemia 983,824
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019158/ScoringFiles/PGS019158.txt.gz
PGS019159
(TPMI_411_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Ischemic Heart Disease myocardial ischemia 931,264
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019159/ScoringFiles/PGS019159.txt.gz
PGS019160
(TPMI_411.2_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Myocardial infarction myocardial infarction 162,159
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019160/ScoringFiles/PGS019160.txt.gz
PGS019161
(TPMI_411.2_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Myocardial infarction myocardial infarction 394,972
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019161/ScoringFiles/PGS019161.txt.gz
PGS019162
(TPMI_411.2_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Myocardial infarction myocardial infarction 684,078
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019162/ScoringFiles/PGS019162.txt.gz
PGS019163
(TPMI_411.2_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Myocardial infarction myocardial infarction 983,764
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019163/ScoringFiles/PGS019163.txt.gz
PGS019164
(TPMI_411.2_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Myocardial infarction myocardial infarction 1,031,953
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019164/ScoringFiles/PGS019164.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
PPM001602 PGS000710
(HC326)
 PSS000826|
European Ancestry|
87,413 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Myocardial infarction — AUROC: 0.59348 — Age, sex, PCs(1-10) —
PPM001606 PGS000710
(HC326)
 PSS000827|
European Ancestry|
135,300 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Myocardial infarction HR: 1.19 [1.17, 1.22] C-index: 0.707 — Age as time scale, sex, batch, PCs(1-10) —
PPM007634 PGS000962
(GBE_HC942)
 PSS004726|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE chronic ischaemic heart disease — AUROC: 0.7358 [0.70724, 0.76436] R²: 0.09751
Incremental AUROC (full-covars): 0.00137
PGS R2 (no covariates): 0.00275
PGS AUROC (no covariates): 0.53401 [0.49965, 0.56838]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007635 PGS000962
(GBE_HC942)
 PSS004727|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE chronic ischaemic heart disease — AUROC: 0.76843 [0.69891, 0.83795] R²: 0.12929
Incremental AUROC (full-covars): 0.00772
PGS R2 (no covariates): 0.01452
PGS AUROC (no covariates): 0.60835 [0.52909, 0.68761]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007636 PGS000962
(GBE_HC942)
 PSS004728|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE chronic ischaemic heart disease — AUROC: 0.77959 [0.76878, 0.7904] R²: 0.1649
Incremental AUROC (full-covars): 0.00919
PGS R2 (no covariates): 0.0145
PGS AUROC (no covariates): 0.58654 [0.57236, 0.60073]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007637 PGS000962
(GBE_HC942)
 PSS004729|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE chronic ischaemic heart disease — AUROC: 0.76819 [0.75382, 0.78257] R²: 0.19358
Incremental AUROC (full-covars): 0.00859
PGS R2 (no covariates): 0.01217
PGS AUROC (no covariates): 0.56681 [0.54864, 0.58499]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007638 PGS000962
(GBE_HC942)
 PSS004730|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE chronic ischaemic heart disease — AUROC: 0.76113 [0.75467, 0.7676] R²: 0.14665
Incremental AUROC (full-covars): 0.01428
PGS R2 (no covariates): 0.01869
PGS AUROC (no covariates): 0.59199 [0.58389, 0.60008]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007998 PGS001048
(GBE_HC1576)
 PSS004287|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD NSTEMI — AUROC: 0.65512 [0.5866, 0.72364] R²: 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. PLoS Genet (2022)
 Reported Trait: AD NSTEMI — AUROC: 0.79982 [0.67861, 0.92103] R²: 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. PLoS Genet (2022)
 Reported Trait: AD NSTEMI — AUROC: 0.7508 [0.72681, 0.77479] R²: 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. PLoS Genet (2022)
 Reported Trait: AD NSTEMI — AUROC: 0.73853 [0.70755, 0.76951] R²: 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. PLoS Genet (2022)
 Reported Trait: AD NSTEMI — AUROC: 0.72145 [0.70591, 0.73699] R²: 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
PPM009063 PGS001314
(GBE_HC938)
 PSS004721|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE acute myocardial infarction — AUROC: 0.70154 [0.65456, 0.74852] R²: 0.05819
Incremental AUROC (full-covars): 0.00259
PGS R2 (no covariates): 0.00375
PGS AUROC (no covariates): 0.54944 [0.49708, 0.6018]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009064 PGS001314
(GBE_HC938)
 PSS004722|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE acute myocardial infarction — AUROC: 0.75783 [0.66508, 0.85058] R²: 0.11318
Incremental AUROC (full-covars): -0.01214
PGS R2 (no covariates): 4e-05
PGS AUROC (no covariates): 0.50047 [0.38016, 0.62077]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009065 PGS001314
(GBE_HC938)
 PSS004723|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE acute myocardial infarction — AUROC: 0.77705 [0.76156, 0.79255] R²: 0.12586
Incremental AUROC (full-covars): 0.00931
PGS R2 (no covariates): 0.01217
PGS AUROC (no covariates): 0.59003 [0.56941, 0.61066]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009066 PGS001314
(GBE_HC938)
 PSS004724|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE acute myocardial infarction — AUROC: 0.77134 [0.75168, 0.791] R²: 0.14992
Incremental AUROC (full-covars): 0.00612
PGS R2 (no covariates): 0.00867
PGS AUROC (no covariates): 0.56612 [0.54027, 0.59198]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009067 PGS001314
(GBE_HC938)
 PSS004725|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE acute myocardial infarction — AUROC: 0.76117 [0.75218, 0.77016] R²: 0.11781
Incremental AUROC (full-covars): 0.00966
PGS R2 (no covariates): 0.01066
PGS AUROC (no covariates): 0.57977 [0.56827, 0.59127]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009068 PGS001315
(GBE_HC326)
 PSS004447|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Heart attack (MI) — AUROC: 0.69844 [0.6569, 0.73997] R²: 0.06159
Incremental AUROC (full-covars): -0.00208
PGS R2 (no covariates): 0.00235
PGS AUROC (no covariates): 0.54374 [0.49552, 0.59197]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009069 PGS001315
(GBE_HC326)
 PSS004448|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Heart attack (MI) — AUROC: 0.77737 [0.69516, 0.85958] R²: 0.12911
Incremental AUROC (full-covars): -0.00257
PGS R2 (no covariates): 0.00655
PGS AUROC (no covariates): 0.55983 [0.43749, 0.68218]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009070 PGS001315
(GBE_HC326)
 PSS004449|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Heart attack (MI) — AUROC: 0.77933 [0.76476, 0.79391] R²: 0.13255
Incremental AUROC (full-covars): 0.00791
PGS R2 (no covariates): 0.0101
PGS AUROC (no covariates): 0.58124 [0.56203, 0.60045]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009071 PGS001315
(GBE_HC326)
 PSS004450|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Heart attack (MI) — AUROC: 0.76924 [0.75056, 0.78793] R²: 0.15526
Incremental AUROC (full-covars): 0.00484
PGS R2 (no covariates): 0.00641
PGS AUROC (no covariates): 0.55598 [0.53163, 0.58034]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009072 PGS001315
(GBE_HC326)
 PSS004451|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Heart attack (MI) — AUROC: 0.75834 [0.74967, 0.76701] R²: 0.11912
Incremental AUROC (full-covars): 0.01051
PGS R2 (no covariates): 0.0122
PGS AUROC (no covariates): 0.58432 [0.57339, 0.59525]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009073 PGS001316
(GBE_HC1574)
 PSS004282|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD myocardial infarction — AUROC: 0.70025 [0.65881, 0.74169] R²: 0.06323
Incremental AUROC (full-covars): -0.00109
PGS R2 (no covariates): 0.00341
PGS AUROC (no covariates): 0.55032 [0.50157, 0.59907]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009074 PGS001316
(GBE_HC1574)
 PSS004283|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD myocardial infarction — AUROC: 0.77563 [0.69186, 0.85939] R²: 0.13082
Incremental AUROC (full-covars): -0.00431
PGS R2 (no covariates): 0.00883
PGS AUROC (no covariates): 0.56569 [0.44162, 0.68977]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009075 PGS001316
(GBE_HC1574)
 PSS004284|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD myocardial infarction — AUROC: 0.77999 [0.76527, 0.7947] R²: 0.13319
Incremental AUROC (full-covars): 0.0073
PGS R2 (no covariates): 0.00977
PGS AUROC (no covariates): 0.57998 [0.56066, 0.59929]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009076 PGS001316
(GBE_HC1574)
 PSS004285|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD myocardial infarction — AUROC: 0.76882 [0.75001, 0.78764] R²: 0.15463
Incremental AUROC (full-covars): 0.0037
PGS R2 (no covariates): 0.00504
PGS AUROC (no covariates): 0.54779 [0.52311, 0.57248]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009077 PGS001316
(GBE_HC1574)
 PSS004286|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD myocardial infarction — AUROC: 0.75963 [0.75098, 0.76829] R²: 0.12014
Incremental AUROC (full-covars): 0.01074
PGS R2 (no covariates): 0.01247
PGS AUROC (no covariates): 0.58557 [0.57459, 0.59655]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009078 PGS001317
(GBE_BIN_FC1006150)
 PSS003775|
African Ancestry|
3,906 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack — AUROC: 0.72462 [0.66421, 0.78503] R²: 0.08703
Incremental AUROC (full-covars): -0.01046
PGS R2 (no covariates): 0.0002
PGS AUROC (no covariates): 0.50663 [0.44094, 0.57232]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009079 PGS001317
(GBE_BIN_FC1006150)
 PSS003776|
East Asian Ancestry|
1,308 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack — AUROC: 0.78888 [0.66178, 0.91598] R²: 0.10419
Incremental AUROC (full-covars): -0.00694
PGS R2 (no covariates): 0.00068
PGS AUROC (no covariates): 0.53242 [0.37336, 0.69148]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009080 PGS001317
(GBE_BIN_FC1006150)
 PSS003777|
European Ancestry|
18,556 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack — AUROC: 0.82479 [0.80685, 0.84274] R²: 0.1758
Incremental AUROC (full-covars): 0.00552
PGS R2 (no covariates): 0.00895
PGS AUROC (no covariates): 0.5766 [0.55039, 0.60282]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009081 PGS001317
(GBE_BIN_FC1006150)
 PSS003778|
South Asian Ancestry|
5,342 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack — AUROC: 0.82696 [0.80387, 0.85004] R²: 0.22573
Incremental AUROC (full-covars): 0.00709
PGS R2 (no covariates): 0.00972
PGS AUROC (no covariates): 0.57536 [0.54237, 0.60835]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009082 PGS001317
(GBE_BIN_FC1006150)
 PSS003779|
European Ancestry|
48,989 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack — AUROC: 0.82191 [0.8123, 0.83152] R²: 0.18282
Incremental AUROC (full-covars): 0.01045
PGS R2 (no covariates): 0.01654
PGS AUROC (no covariates): 0.60058 [0.58663, 0.61453]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM020573 PGS004458
(disease.I21.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: I21 (Acute myocardial infarction) OR: 1.28137 — — — —
PPM020643 PGS004528
(meta.I21.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: I21 (Acute myocardial infarction) OR: 1.39148 — — — —
PPM021902 PGS005034
(Phe_411_2_ldpred_AFRss_afrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.227 [1.06, 1.42] C-index: 0.82275 — age, sex, 20 PCs —
PPM021908 PGS005034
(Phe_411_2_ldpred_AFRss_afrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.099 [1.05, 1.16] C-index: 0.76899 — age, sex, 20 PCs —
PPM021914 PGS005034
(Phe_411_2_ldpred_AFRss_afrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.18 [1.06, 1.31] C-index: 0.73506 — age, sex, 20 PCs —
PPM021904 PGS005035
(Phe_411_2_ldpred_EURss_eurld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.315 [1.15, 1.5] C-index: 0.82355 — age, sex, 20 PCs —
PPM021910 PGS005035
(Phe_411_2_ldpred_EURss_eurld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.541 [1.46, 1.63] C-index: 0.78336 — age, sex, 20 PCs —
PPM021916 PGS005035
(Phe_411_2_ldpred_EURss_eurld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.252 [1.13, 1.39] C-index: 0.73931 — age, sex, 20 PCs —
PPM021903 PGS005036
(Phe_411_2_ldpred_HISss_amrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.159 [1.0, 1.34] C-index: 0.82048 — age, sex, 20 PCs —
PPM021909 PGS005036
(Phe_411_2_ldpred_HISss_amrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.124 [1.07, 1.18] C-index: 0.76923 — age, sex, 20 PCs —
PPM021915 PGS005036
(Phe_411_2_ldpred_HISss_amrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.068 [0.97, 1.18] C-index: 0.73277 — age, sex, 20 PCs —
PPM021899 PGS005037
(Phe_411_2_ldpred_METAss_afrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.338 [1.18, 1.51] C-index: 0.82493 — age, sex, 20 PCs —
PPM021905 PGS005037
(Phe_411_2_ldpred_METAss_afrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.5 [1.42, 1.58] C-index: 0.78205 — age, sex, 20 PCs —
PPM021911 PGS005037
(Phe_411_2_ldpred_METAss_afrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.379 [1.25, 1.52] C-index: 0.74391 — age, sex, 20 PCs —
PPM021900 PGS005038
(Phe_411_2_ldpred_METAss_amrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.378 [1.22, 1.56] C-index: 0.82508 — age, sex, 20 PCs —
PPM021906 PGS005038
(Phe_411_2_ldpred_METAss_amrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.53 [1.45, 1.61] C-index: 0.78309 — age, sex, 20 PCs —
PPM021912 PGS005038
(Phe_411_2_ldpred_METAss_amrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.367 [1.24, 1.5] C-index: 0.74356 — age, sex, 20 PCs —
PPM021907 PGS005039
(Phe_411_2_ldpred_METAss_eurld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.578 [1.5, 1.67] C-index: 0.78484 — age, sex, 20 PCs —
PPM021913 PGS005039
(Phe_411_2_ldpred_METAss_eurld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.321 [1.2, 1.46] C-index: 0.74094 — age, sex, 20 PCs —
PPM021901 PGS005039
(Phe_411_2_ldpred_METAss_eurld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.42 [1.25, 1.61] C-index: 0.82713 — age, sex, 20 PCs —
PPM021800 PGS005040
(Phe_411_2_prscs_AFRss_afrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.172 [1.0, 1.38] C-index: 0.82194 — age, sex, 20 PCs —
PPM021807 PGS005040
(Phe_411_2_prscs_AFRss_afrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.071 [1.02, 1.13] C-index: 0.76867 — age, sex, 20 PCs —
PPM021814 PGS005040
(Phe_411_2_prscs_AFRss_afrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.198 [1.07, 1.34] C-index: 0.73492 — age, sex, 20 PCs —
PPM021809 PGS005041
(Phe_411_2_prscs_EURss_eurld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.535 [1.46, 1.62] C-index: 0.78373 — age, sex, 20 PCs —
PPM021816 PGS005041
(Phe_411_2_prscs_EURss_eurld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.247 [1.13, 1.37] C-index: 0.73945 — age, sex, 20 PCs —
PPM021802 PGS005041
(Phe_411_2_prscs_EURss_eurld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.345 [1.19, 1.53] C-index: 0.82428 — age, sex, 20 PCs —
PPM021801 PGS005042
(Phe_411_2_prscs_HISss_amrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.194 [1.03, 1.38] C-index: 0.82033 — age, sex, 20 PCs —
PPM021808 PGS005042
(Phe_411_2_prscs_HISss_amrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.122 [1.07, 1.18] C-index: 0.76923 — age, sex, 20 PCs —
PPM021815 PGS005042
(Phe_411_2_prscs_HISss_amrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.036 [0.94, 1.14] C-index: 0.73253 — age, sex, 20 PCs —
PPM021797 PGS005043
(Phe_411_2_prscs_METAss_afrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.282 [1.14, 1.45] C-index: 0.82411 — age, sex, 20 PCs —
PPM021804 PGS005043
(Phe_411_2_prscs_METAss_afrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.434 [1.36, 1.51] C-index: 0.77954 — age, sex, 20 PCs —
PPM021811 PGS005043
(Phe_411_2_prscs_METAss_afrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.309 [1.19, 1.44] C-index: 0.74091 — age, sex, 20 PCs —
PPM021798 PGS005044
(Phe_411_2_prscs_METAss_amrld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.392 [1.23, 1.58] C-index: 0.82594 — age, sex, 20 PCs —
PPM021805 PGS005044
(Phe_411_2_prscs_METAss_amrld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.546 [1.47, 1.63] C-index: 0.78362 — age, sex, 20 PCs —
PPM021812 PGS005044
(Phe_411_2_prscs_METAss_amrld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.365 [1.24, 1.51] C-index: 0.7435 — age, sex, 20 PCs —
PPM021799 PGS005045
(Phe_411_2_prscs_METAss_eurld)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.353 [1.19, 1.54] C-index: 0.82389 — age, sex, 20 PCs —
PPM021806 PGS005045
(Phe_411_2_prscs_METAss_eurld)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.554 [1.47, 1.64] C-index: 0.78385 — age, sex, 20 PCs —
PPM021813 PGS005045
(Phe_411_2_prscs_METAss_eurld)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.351 [1.22, 1.49] C-index: 0.74237 — age, sex, 20 PCs —
PPM021803 PGS005046
(Phe_411_2_prscsx_METAweight)
 PSS011808|
Hispanic or Latin American Ancestry|
8,047 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.376 [1.21, 1.56] C-index: 0.82539 — age, sex, 20 PCs —
PPM021810 PGS005046
(Phe_411_2_prscsx_METAweight)
 PSS011818|
European Ancestry|
30,379 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.527 [1.45, 1.61] C-index: 0.78337 — age, sex, 20 PCs —
PPM021817 PGS005046
(Phe_411_2_prscsx_METAweight)
 PSS011798|
African Ancestry|
10,479 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Myocardial infarction OR: 1.345 [1.22, 1.48] C-index: 0.74289 — age, sex, 20 PCs —
PPM036548 PGS018412
(MultiPRS_myocardial-infarction)
 PSS012304|
European Ancestry|
7,838 individuals
 PGP000826 |
Ometto S et al. Nat Commun (2026)
 Reported Trait: Prevalent Myocardial infarction OR: 3.38 AUROC: 0.7132 — age, sex, body surface area, PC1-PC20 Multi-PRS + baseline (diagnostic). OR per 1 SD of PRS (logOR=1.2168); DeLong p=0.9822239038128628. Sex='Both' (male/female strata also in Suppl. Data 27).
PPM036549 PGS018412
(MultiPRS_myocardial-infarction)
 PSS012305|
European Ancestry|
5,984 individuals
 PGP000826 |
Ometto S et al. Nat Commun (2026)
 Reported Trait: Incident Myocardial infarction (1-10 yr) HR: 0.95 [0.92, 0.97]
OR: 2.46		 AUROC: 0.6571 — age, sex, body surface area, PC1-PC20 Multi-PRS + baseline (prognostic, 1-10 yr). OR per 1 SD (logOR=0.899); HR per SD of PRS from Cox model (col D); DeLong p=0.9361436146977564. Sex='Both'.
PPM036550 PGS018412
(MultiPRS_myocardial-infarction)
 PSS012306|
European Ancestry|
16,433 individuals
 PGP000826 |
Ometto S et al. Nat Commun (2026)
 Reported Trait: Myocardial infarction OR: 2.77 AUROC: 0.6778 — age, sex, body surface area, PC1-PC20 Multi-PRS + baseline (whole cohort). OR per 1 SD (logOR=1.0191); DeLong p=0.9610599661066996. Sex='Both'.
PPM037337 PGS019155
(TPMI_411_Lassosum2)
 PSS013073|
East Asian Ancestry|
19,485 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Ischemic Heart Disease — AUROC: 0.63122 R²: 0.05223 sex, age, array, PCs 1-10 —
PPM037338 PGS019156
(TPMI_411_LDpred2)
 PSS013072|
East Asian Ancestry|
19,485 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Ischemic Heart Disease — AUROC: 0.63411 R²: 0.05386 sex, age, array, PCs 1-10 —
PPM037339 PGS019157
(TPMI_411_MegaPRS)
 PSS013074|
East Asian Ancestry|
19,485 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Ischemic Heart Disease — AUROC: 0.63233 R²: 0.05304 sex, age, array, PCs 1-10 —
PPM037340 PGS019158
(TPMI_411_PRS-CS)
 PSS013075|
East Asian Ancestry|
19,485 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Ischemic Heart Disease — AUROC: 0.63294 R²: 0.0532 sex, age, array, PCs 1-10 —
PPM037341 PGS019159
(TPMI_411_SBayesR)
 PSS013076|
East Asian Ancestry|
19,485 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Ischemic Heart Disease — AUROC: 0.63311 R²: 0.05304 sex, age, array, PCs 1-10 —
PPM037342 PGS019160
(TPMI_411.2_Lassosum2)
 PSS013058|
East Asian Ancestry|
17,017 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Myocardial infarction — AUROC: 0.75539 R²: 0.05815 sex, age, array, PCs 1-10 —
PPM037343 PGS019161
(TPMI_411.2_LDpred2)
 PSS013057|
East Asian Ancestry|
17,017 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Myocardial infarction — AUROC: 0.76653 R²: 0.06279 sex, age, array, PCs 1-10 —
PPM037344 PGS019162
(TPMI_411.2_MegaPRS)
 PSS013059|
East Asian Ancestry|
17,017 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Myocardial infarction — AUROC: 0.75987 R²: 0.06003 sex, age, array, PCs 1-10 —
PPM037345 PGS019163
(TPMI_411.2_PRS-CS)
 PSS013060|
East Asian Ancestry|
17,017 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Myocardial infarction — AUROC: 0.75958 R²: 0.06009 sex, age, array, PCs 1-10 —
PPM037346 PGS019164
(TPMI_411.2_SBayesR)
 PSS013061|
East Asian Ancestry|
17,017 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Myocardial infarction — AUROC: 0.75693 R²: 0.05893 sex, age, array, PCs 1-10 —

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
PSS004284 — —
[
  • 872 cases
  • , 24,033 controls
]
 — European non-white British ancestry UKB —
PSS004285 — —
[
  • 567 cases
  • , 7,264 controls
]
 — South Asian — UKB —
PSS004286 — —
[
  • 2,790 cases
  • , 64,635 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
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)
PSS003775 — —
[
  • 82 cases
  • , 3,824 controls
]
 — African unspecified — UKB —
PSS003776 — —
[
  • 11 cases
  • , 1,297 controls
]
 — East Asian — UKB —
PSS003777 — —
[
  • 465 cases
  • , 18,091 controls
]
 — European non-white British ancestry UKB —
PSS003778 — —
[
  • 299 cases
  • , 5,043 controls
]
 — South Asian — UKB —
PSS003779 — —
[
  • 1,611 cases
  • , 47,378 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS013058 410, 411.0, 412, 429.7,I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.1, I25.2, I51.0, I51.3 —
[
  • 387 cases
  • , 16,630 controls
]
,
43.7 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013059 410, 411.0, 412, 429.7,I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.1, I25.2, I51.0, I51.3 —
[
  • 387 cases
  • , 16,630 controls
]
,
43.7 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013060 410, 411.0, 412, 429.7,I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.1, I25.2, I51.0, I51.3 —
[
  • 387 cases
  • , 16,630 controls
]
,
43.7 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013061 410, 411.0, 412, 429.7,I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.1, I25.2, I51.0, I51.3 —
[
  • 387 cases
  • , 16,630 controls
]
,
43.7 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS000826 — — 87,413 individuals — European — UKB —
PSS000827 ICD-10 I21|I22 —
[
  • 7,913 cases
  • , 127,387 controls
]
 — European
(Finnish)		 — FinnGen —
PSS013073 410, 411, 412, 413, 414, 429.7, 996.03, V45.81, V45.82,I20, I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.0, I24.1, I24.8, I24.9, I25, I51.0, I51.3, Z95.1, Z95.5, Z98.6 —
[
  • 2,855 cases
  • , 16,630 controls
]
,
45.93 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013072 410, 411, 412, 413, 414, 429.7, 996.03, V45.81, V45.82,I20, I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.0, I24.1, I24.8, I24.9, I25, I51.0, I51.3, Z95.1, Z95.5, Z98.6 —
[
  • 2,855 cases
  • , 16,630 controls
]
,
45.93 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013074 410, 411, 412, 413, 414, 429.7, 996.03, V45.81, V45.82,I20, I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.0, I24.1, I24.8, I24.9, I25, I51.0, I51.3, Z95.1, Z95.5, Z98.6 —
[
  • 2,855 cases
  • , 16,630 controls
]
,
45.93 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013075 410, 411, 412, 413, 414, 429.7, 996.03, V45.81, V45.82,I20, I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.0, I24.1, I24.8, I24.9, I25, I51.0, I51.3, Z95.1, Z95.5, Z98.6 —
[
  • 2,855 cases
  • , 16,630 controls
]
,
45.93 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013076 410, 411, 412, 413, 414, 429.7, 996.03, V45.81, V45.82,I20, I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.0, I24.1, I24.8, I24.9, I25, I51.0, I51.3, Z95.1, Z95.5, Z98.6 —
[
  • 2,855 cases
  • , 16,630 controls
]
,
45.93 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS004447 — —
[
  • 149 cases
  • , 6,348 controls
]
 — African unspecified — UKB —
PSS004448 — —
[
  • 25 cases
  • , 1,679 controls
]
 — East Asian — UKB —
PSS004449 — —
[
  • 881 cases
  • , 24,024 controls
]
 — European non-white British ancestry UKB —
PSS004450 — —
[
  • 568 cases
  • , 7,263 controls
]
 — South Asian — UKB —
PSS004451 — —
[
  • 2,812 cases
  • , 64,613 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004721 — —
[
  • 116 cases
  • , 6,381 controls
]
 — African unspecified — UKB —
PSS004722 — —
[
  • 21 cases
  • , 1,683 controls
]
 — East Asian — UKB —
PSS004723 — —
[
  • 766 cases
  • , 24,139 controls
]
 — European non-white British ancestry UKB —
PSS004724 — —
[
  • 492 cases
  • , 7,339 controls
]
 — South Asian — UKB —
PSS004725 — —
[
  • 2,531 cases
  • , 64,894 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004726 — —
[
  • 283 cases
  • , 6,214 controls
]
 — African unspecified — UKB —
PSS004727 — —
[
  • 48 cases
  • , 1,656 controls
]
 — East Asian — UKB —
PSS004728 — —
[
  • 1,680 cases
  • , 23,225 controls
]
 — European non-white British ancestry UKB —
PSS004729 — —
[
  • 1,095 cases
  • , 6,736 controls
]
 — South Asian — UKB —
PSS004730 — —
[
  • 5,072 cases
  • , 62,353 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS013057 410, 411.0, 412, 429.7,I21, I22, I23.0, I23.1, I23.2, I23.3, I23.6, I23.7, I23.8, I24.1, I25.2, I51.0, I51.3 —
[
  • 387 cases
  • , 16,630 controls
]
,
43.7 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012304 Balanced case/control cohort: cases from UK Biobank hospital/EHR & self-report; equal number of super-controls (no cardiac/metabolic disease) matched on age and sex. — 7,838 individuals — European — UKB —
PSS012305 Balanced case/control cohort: cases from UK Biobank hospital/EHR & self-report; equal number of super-controls (no cardiac/metabolic disease) matched on age and sex. — 5,984 individuals — European — UKB —
PSS012306 Balanced case/control cohort: cases from UK Biobank hospital/EHR & self-report; equal number of super-controls (no cardiac/metabolic disease) matched on age and sex. — 16,433 individuals — European — UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS011798 — —
[
  • 539 cases
  • , 9,940 controls
]
 — African American or Afro-Caribbean — AllofUs —
PSS011808 — —
[
  • 304 cases
  • , 7,743 controls
]
 — Hispanic or Latin American — AllofUs —
PSS011818 — —
[
  • 1,783 cases
  • , 28,596 controls
]
 — European — AllofUs —
PSS004282 — —
[
  • 150 cases
  • , 6,347 controls
]
 — African unspecified — UKB —
PSS004283 — —
[
  • 25 cases
  • , 1,679 controls
]
 — East Asian — UKB —