Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0000612 |
Description | Gross necrosis of the myocardium, as a result of interruption of the blood supply to the area, as in coronary thrombosis. [NCIT: C27996] | Trait category |
Cardiovascular disease
|
Synonyms |
28 synonyms
|
Mapped terms |
15 mapped terms
|
Child trait(s) | 2 child traits |
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 |
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 |
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) | — |
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 | — |
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 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004285 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004286 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004287 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004288 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004289 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004290 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004291 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS003775 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003776 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003777 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003778 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003779 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS000826 | — | — | 87,413 individuals | — | European | — | UKB | — |
PSS000827 | ICD-10 I21|I22 | — | [
|
— | European (Finnish) |
— | FinnGen | — |
PSS004447 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004448 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004449 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004450 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004451 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004721 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004722 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004723 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004724 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004725 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
PSS011798 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
PSS011808 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
PSS011818 | — | — | [
|
— | European | — | AllofUs | — |
PSS004282 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004283 | — | — | [
|
— | East Asian | — | UKB | — |