| Trait Information | |
| Identifier | MONDO_0005053 |
| Description | Lack of blood supply to an area of the body, resulting in impairment of tissue oxygenation. [NCIT: C34738] | Trait category |
Other trait
|
| Child trait(s) | myocardial ischemia |
| 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) |
|---|---|---|---|---|---|---|
| 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 |
| 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 |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| 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 |
| 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 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| 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 | — | [ ,
45.93 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| 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 | — | [ ,
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 | — | [ ,
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 | — | [ ,
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 | — | [ ,
45.93 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004726 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004727 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004728 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004729 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004730 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |