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 | — |