Predicted Trait | |
Reported Trait | Coronary artery disease |
Mapped Trait(s) | coronary artery disease (EFO_0001645) |
Score Construction | |
PGS Name | CAD_AnnoPred |
Development Method | |
Name | AnnoPred |
Parameters | tier 2; p-0.003; pT |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 2,994,055 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000740 |
Citation (link to publication) | Hu J et al. PLoS Comput Biol (2025) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
Europe PMC: 26343387 |
[
|
European | CARDIoGRAMplusC4D |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | [
|
European | UKB | — | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM022669 | PSS012052| European Ancestry| 407,903 individuals |
PGP000740 | Hu J et al. PLoS Comput Biol (2025) |
Reported Trait: Coronary artery disease | HR: 1.72 | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS012052 | — | — | [
|
— | European | — | UKB | — |