| Predicted Trait | |
| Reported Trait | Coronary artery disease |
| Mapped Trait(s) | coronary artery disorder (MONDO_0005010) |
| Score Construction | |
| PGS Name | PRSCAD+ |
| Development Method | |
| Name | PRS-CSx and LASSO COX model |
| Parameters | φ=10-6, 10-4, 10-2 and 1 |
| Variants | |
| Original Genome Build | GRCh38 |
| Number of Variants | 1,083,724 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000787 |
| Citation (link to publication) | Wang H et al. Genomics Proteomics Bioinformatics (2026) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST006901 Europe PMC: 30124842 |
456,426 individuals | European | NR |
GWAS Catalog: GCST90013687 Europe PMC: 32514122 |
212,453 individuals | East Asian | BBJ |
Europe PMC: 41092961 |
[
|
East Asian | TPMI |
Europe PMC: 30305743 |
[
|
European | UKB |
Europe PMC: 36653562 |
[
|
European | FinnGen |
Europe PMC: 26343387 |
[
|
European | CARDIoGRAMplusC4D |
GWAS Catalog: GCST90255478 Europe PMC: 36777999 |
237,344 individuals | East Asian | BBJ, KoGES |
GWAS Catalog: GCST006901 Europe PMC: 30124842 |
237,103 individuals | Not reported | NR |
GWAS Catalog: GCST90255480 Europe PMC: 36777999 |
236,117 individuals | East Asian | BBJ, KoGES |
Europe PMC: 41092961 |
191,458 individuals | East Asian | TPMI |
GWAS Catalog: GCST006900 Europe PMC: 30124842 |
224,849 individuals | Not reported | NR |
GWAS Catalog: GCST006900 Europe PMC: 30124842 |
456,426 individuals | European | NR |
GWAS Catalog: GCST90255482 Europe PMC: 36777999 |
204,034 individuals | East Asian | BBJ, KoGES |
| — | 314,916 individuals | European | UKB |
GWAS Catalog: GCST90239651 Europe PMC: 34887591 |
146,492 individuals | East Asian | 24 cohorts
|
GWAS Catalog: GCST90239652 Europe PMC: 34887591 |
1,320,016 individuals | European | Multiple |
GWAS Catalog: GCST90239658 Europe PMC: 34887591 |
1,320,016 individuals | European | Multiple |
GWAS Catalog: GCST90239657 Europe PMC: 34887591 |
146,492 individuals | East Asian | 24 cohorts
|
GWAS Catalog: GCST90239663 Europe PMC: 34887591 |
146,492 individuals | East Asian | 24 cohorts
|
GWAS Catalog: GCST90239664 Europe PMC: 34887591 |
1,320,016 individuals | European | Multiple |
Europe PMC: 41092961 |
160,000 individuals | East Asian | TPMI |
GWAS Catalog: GCST90255477 Europe PMC: 36777999 |
217,780 individuals | East Asian | BBJ, KoGES |
GWAS Catalog: GCST90310294 Europe PMC: 38689001 |
1,028,980 individuals | European | BioVU, ICBP, MVP, UKB |
GWAS Catalog: GCST90310295 Europe PMC: 38689001 |
1,028,980 individuals | European | BioVU, ICBP, MVP, UKB |
GWAS Catalog: GCST90255476 Europe PMC: 36777999 |
217,780 individuals | East Asian | BBJ, KoGES |
Europe PMC: 41092961 |
196,200 individuals | East Asian | TPMI |
| — | 136,597 individuals | East Asian | BBJ |
GWAS Catalog: GCST006626 Europe PMC: 30224653 |
757,601 individuals | European | NR |
GWAS Catalog: GCST90255495 Europe PMC: 36777999 |
207,876 individuals | East Asian | BBJ, KoGES |
Europe PMC: 41092961 |
173,813 individuals | East Asian | TPMI |
| — | 350,475 individuals | European | UKB |
GWAS Catalog: GCST90255497 Europe PMC: 36777999 |
223,090 individuals | East Asian | BBJ, KoGES |
GWAS Catalog: GCST90255496 Europe PMC: 36777999 |
223,090 individuals | East Asian | BBJ, KoGES |
Europe PMC: 27346685 |
444,410 individuals | European | BCX |
| — | 109,029 individuals | East Asian | BBJ |
| — | 343,836 individuals | European | UKB |
GWAS Catalog: GCST90492734 Europe PMC: 38374256 |
[
|
East Asian | T2D-GGI |
GWAS Catalog: GCST90492734 Europe PMC: 38374256 |
[
|
European | T2D-GGI |
| 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 |
|---|---|---|---|---|---|---|---|---|
| — | [ ,
43.59 % Male samples |
East Asian (Chinese) |
DFTJ | I20-I25 | Mean = 62.0 years | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM030614 | PSS012202| East Asian Ancestry| 12,127 individuals |
PGP000787 | Wang H et al. Genomics Proteomics Bioinformatics (2026) |
Reported Trait: coronary artery disease | HR: 1.26 | C-index: 0.649 | — | age, sex, and the first four PCs | — |
| PPM030615 | PSS012203| East Asian Ancestry| 5,243 individuals |
PGP000787 | Wang H et al. Genomics Proteomics Bioinformatics (2026) |
Reported Trait: coronary artery disease | OR: 2.23 | AUROC: 0.786 | — | age, sex, and the first four 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 |
|---|---|---|---|---|---|---|---|---|
| PSS012202 | I20-I25 | — | [ ,
43.33 % Male samples |
Mean = 60.0 years | East Asian (Chinese) |
— | DFTJ | — |
| PSS012203 | CAD was defined by coronary angiography as ≥50% stenosis in ≥1 major coronary artery, which manifested as occult CAD | — | [ ,
64.3 % Male samples |
Mean = 58.0 years | East Asian (Chinese) |
— | GRAND | — |