| Publication Information (EuropePMC) | |
| Title | Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population. |
| PubMed ID | 41184235(Europe PMC) |
| doi | 10.1038/s41467-025-64659-6 |
| Publication Date | Nov. 3, 2025 |
| Journal | Nat Commun |
| Author(s) | Enzan N, Miyazawa K, Koyama S, Kurosawa R, Ieki H, Yoshida H, Takechi F, Fukuyama M, Osako R, Tomizuka K, Liu X, Ozaki K, Onouchi Y, BioBank Japan Project, Matsuda K, Momozawa Y, Aburatani H, Kamatani Y, Yamaguchi T, Akazawa H, Node K, Ellinor PT, Levin MG, Damrauer SM, Voight BF, Joseph J, Sun YV, Terao C, Ninomiya T, Komuro I, Ito K. |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS005285 (BBJ_HF_PRS_HG19) |
PGP000757 | Enzan N et al. Nat Commun (2025) |
Heart failure | heart failure | 993,899 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005285/ScoringFiles/PGS005285.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM022992 | PGS005285 (BBJ_HF_PRS_HG19) |
PSS012088| East Asian Ancestry| 13,157 individuals |
PGP000757 | Enzan N et al. Nat Commun (2025) |
Reported Trait: incident all-cause heart failure cases | — | — | R²: 0.0737 | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012088 | — | — | [ ,
63.8 % Male samples |
Mean = 66.4 years | East Asian (Japanese) |
— | BBJ | — |