| Predicted Trait | |
| Reported Trait | Coronary heart disease |
| Mapped Trait(s) | coronary heart disease (EFO_0001645) |
| Score Construction | |
| PGS Name | CHD57 |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 57 |
| Development Method | |
| Name | Hard thresholding |
| Parameters | Independent variants associated with CHD, with suitable proxies (r2 > 0.8) in the cohorts |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000042 |
| Citation (link to publication) | Natarajan P et al. Circulation (2017) |
| Study Identifiers | Sample Numbers | Sample Ancestry |
|---|---|---|
| GWAS Catalog: GCST003116 EuropePMC: 26343387 |
11,323 individuals | East Asian |
| GWAS Catalog: GCST003116 EuropePMC: 26343387 |
25,557 individuals | South Asian |
| GWAS Catalog: GCST003116 EuropePMC: 26343387 |
2,268 individuals | Greater Middle Eastern (Middle Eastern, North African or Persian) |
| GWAS Catalog: GCST003116 EuropePMC: 26343387 |
4,095 individuals | Hispanic or Latin American |
| GWAS Catalog: GCST003116 EuropePMC: 26343387 |
141,217 individuals | European |
| GWAS Catalog: GCST003116 EuropePMC: 26343387 |
3,139 individuals | African American or Afro-Caribbean |
| EuropePMC: 26934567 | [
|
European |
| EuropePMC: 23202125 | [
|
Other (Combined analysis of European and South Asian ancestry individuals) |
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 ID) |
PGS Sample Set ID (PSS ID) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
PGS Classification Metrics | Other Metrics | Covariates Included in the Model | PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|
| PPM000146 | PSS000089 | PGP000042 Natarajan P et al. (2017) |
Reported Trait: Carotid artery plaque burden | β: 1.097[1.022, 1.178] | — | — | age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD | — |
| PPM000145 | PSS000090 | PGP000042 Natarajan P et al. (2017) |
Reported Trait: Coronary artery calcification | OR: 1.32[1.04, 1.68] | — | OR (highest vs. lowest quintile of PGS): 2.51[1.08, 5.85] | age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD | — |
| PPM000144 | PSS000091 | PGP000042 Natarajan P et al. (2017) |
Reported Trait: Coronary heart disease (incident) | — | — | HR (highest vs. lowest quintile of PGS): 1.66[1.21, 2.29] | age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD | — |
|
PGS Sample Set ID (PSS ID) |
Detailed Phenotype Description | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS000089 | Total carotid plaque burden (mm2) | — | 4,392 individuals | Range = [55.0, 80.0] years | — | — | BioImage | — |
| PSS000090 | Total coronary arterial clacification (CAC) was coded as a a dichotomous outcome variable (CAC>0 versus CAC=0), and quantified by the Agatston method | Mean = 15.0 years | 1,154 individuals | Range = [32.0, 47.0] years | — | — | CARDIA | — |
| PSS000091 | Nonfatal myocardial infarction or death from CHD | Mean = 13.5 years Sd = 2.8 years |
2,440 individuals, 100.0 % Male samples |
Mean = 55.1 years Sd = 5.5 years |
— | — | Participants were all men hypercholesterolemia but without a history of myocardial infarction, allocated to the placebo group |