| Predicted Trait | |
| Reported Trait | Paroxysmal atrial fibrillation |
| Mapped Trait(s) | Paroxysmal atrial fibrillation (HP_0004757) |
| Score Construction | |
| PGS Name | PAF_PRS |
| Development Method | |
| Name | LD-clumping and p-value thresholding (P+T) using GWAS summary statistics |
| Parameters | Variants for the score were selected from a large-scale Japanese atrial fibrillation GWAS (Low et al., Nat Genet 2017, doi:10.1038/ng.3842). Using these summary statistics, we constructed 30 candidate SNP sets by combining three P-value thresholds (5×10-8, 1×10-5, 1×10-4) with ten LD clumping thresholds (r2 = 0.9-0.1 and no clumping) in PLINK 1.9. The final PAF_PRS used 122 SNPs selected at P < 1×10-5 and r2 > 0.3, which achieved the highest mean cross-validated AUC in the 90% training dataset. |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 122 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000775 |
| Citation (link to publication) | Shiomi M et al. PLoS One (2026) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST004373 Europe PMC: 28416822 |
36,792 individuals | East Asian | NR |
| 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 |
|---|---|---|---|---|---|---|---|---|
| — | [ ,
63.0 % Male samples |
East Asian (Japanese) |
PAF_JPN | Paroxysmal atrial fibrillation (PAF) cases and controls recruited from cardiology departments. Exclusion criteria were: (1) missing clinical information, (2) AF other than PAF, (3) history of heart failure, (4) coronary artery disease, or (5) valvular heart disease. Phenotypes based on clinical records and ECG findings. | — | — | — | Training dataset consisting of 90% of PAF cases and controls, obtained by stratified sampling to preserve the case-control ratio. preserve the case-control ratio. |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM023426 | PSS012177| East Asian Ancestry| 179 individuals |
PGP000775 | Shiomi M et al. PLoS One (2026) |
Reported Trait: Paroxysmal atrial fibrillation | — | AUROC: 0.702 [0.624, 0.77] | AUPRC: 0.776 F1: 0.698 |
— | Best PRS-only model (Light Gradient Boosting Machine, LGBM) using the 122-SNP PAF_PRS at P < 1 × 10-5 and r2 > 0.3; performance evaluated on the 10% test dataset (PAF_JPN_test) with 1,000 bootstrap resamples. |
| PPM023427 | PSS012177| East Asian Ancestry| 179 individuals |
PGP000775 | Shiomi M et al. PLoS One (2026) |
Reported Trait: Paroxysmal atrial fibrillation | — | AUROC: 0.737 [0.668, 0.804] | AUPRC: 0.781 F1: 0.748 |
sex, smoking, alcohol consumption, history of hypertension, diabetes mellitus, dyslipidemia, cerebral infarction, and family history of AF | Best additive model (Extreme Gradient Boosting, XGB) with the 122-SNP PAF_PRS and the listed clinical covariates; same P-value and LD r2 thresholds and test dataset as the PRS-only model; performance metrics obtained from 1,000 bootstrap resamples. |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012177 | Paroxysmal atrial fibrillation (PAF) cases and controls recruited from cardiology departments. Exclusion criteria were: (1) missing clinical information, (2) AF other than PAF, (3) history of heart failure, (4) coronary artery disease, or (5) valvular heart disease. Phenotypes based on clinical records and ECG findings. | — | [ ,
65.0 % Male samples |
— | East Asian (Japanese) |
— | PAF_JPN | Held-out 10% test dataset obtained by stratified sampling to preserve the case-control ratio. |