| Predicted Trait | |
| Reported Trait | ECG-AI predicted 5-year risk of atrial fibrillation |
| Mapped Trait(s) | atrial fibrillation (EFO_0000275) |
| Score Construction | |
| PGS Name | PRSECG_AI |
| Development Method | |
| Name | PRS-CS |
| Parameters | MAF>0.001 |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 1,117,399 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000591 |
| Citation (link to publication) | Wang X et al. Circ Genom Precis Med (2023) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 96.6% Not Reported: 3.4% 39,986 individuals (100%) |
| PGS Evaluation | |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST90301652 |
1,369 individuals | Not reported | UKB |
GWAS Catalog: GCST90301652 |
38,617 individuals | 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 |
|---|---|---|---|---|---|---|---|---|
| PPM020787 | PSS011412| Multi-ancestry (including European)| 424,411 individuals |
PGP000591 | Wang X et al. Circ Genom Precis Med (2023) |
Reported Trait: 5-year incident atrial fibrillation | HR: 1.07 [1.04, 1.09] | C-index: 0.738 | — | Age at enrollment, sex, genotyping array, 20 PCs of ancestry | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011412 | — | — | 370,121 individuals | — | European | — | UKB | — |
| PSS011412 | — | — | 54,290 individuals | — | Not reported | — | UKB | — |