Polygenic Score (PGS) ID: PGS012552

Predicted Trait
Reported Trait Heart failure
Mapped Trait(s) heart failure (MONDO_0005252)
Released in PGS Catalog: April 13, 2026
Download Score FTP directory
Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name PRS_HF
Development Method
Name AnnoPred
Parameters tier=3; p=0.01; h2 inf model
Variants
Original Genome Build hg19
Number of Variants 1,935,626
Effect Weight Type NR
PGS Source
PGS Catalog Publication (PGP) ID PGP000794
Citation (link to publication) Ye Y et al. Front Bioinform (2024)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
977,323 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST009541
Europe PMC: 31919418
977,323 individuals European NR

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM030661 PSS012228|
European Ancestry|
21,092 individuals
PGP000794 |
Ye Y et al. Front Bioinform (2024)
Reported Trait: HF AUROC: 0.524 [0.495, 0.554] AUROC of meta-PRS (PRS_CAD + PRS_IS + PRS_HF) for HF: 0.558 [0.528, 0.588] PRS_CAD (PGS Catalog ID: PGS005236) + PRS_IS (this paper) + PRS_HF (this paper) combined to derive meta-PRS The meta-PRS was constructed by combining PRS_CAD, PRS_IS, and PRS_HF at the PRS level using weights described in the study. Implementation details are available at: https://github.com/JqiHu/meta-PRS-CVD

Evaluated Samples

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
PSS012228
[
  • 1,989 cases
  • , 19,103 controls
]
European
(British)
UKB