| Predicted Trait | |
| Reported Trait | Coronary heart disease |
| Mapped Trait(s) | coronary artery disease (EFO_0001645) |
| Score Construction | |
| PGS Name | PRS300_CHD |
| Development Method | |
| Name | Genome-wide significant SNPs |
| Parameters | NR |
| Variants | |
| Original Genome Build | NR |
| Number of Variants | 300 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000660 |
| Citation (link to publication) | Kim Y et al. J Intern Med (2023) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST004787 Europe PMC: 28714975 |
63,731 individuals | European, NR | NR |
|
PGS Performance Metric ID (PPM) |
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 |
|---|---|---|---|---|---|---|---|---|
| PPM021707 | PSS011755| European Ancestry| 77,500 individuals |
PGP000660 | Kim Y et al. J Intern Med (2023) |
Reported Trait: Incident coronary heart disease | HR: 1.63 [1.49, 1.78] | — | — | Sex, genotype array type, 10 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 |
|---|---|---|---|---|---|---|---|---|
| PSS011755 | — | — | 77,500 individuals, 43.2 % Male samples |
Mean = 56.3 years Sd = 7.7 years |
European (British) |
— | UKB | — |