Polygenic Score (PGS) ID: PGS005285

Predicted Trait
Reported Trait Heart failure
Mapped Trait(s) heart failure (EFO_0003144)
Released in PGS Catalog: Nov. 10, 2025
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Score Details

Score Construction
PGS Name BBJ_HF_PRS_HG19
Development Method
Name PRSCS
Parameters First, we ran PRSCS with default settings. Next, we combined all ancestry, HF subtype, and HF risk factors with LASSO regression.
Variants
Original Genome Build GRCh37
Number of Variants 993,899
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000757
Citation (link to publication) Enzan N et al. Nat Commun (2025)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 96.7%
East Asian: 2.7%
African: 0.6%
4,263,440 individuals (100%)
PGS Evaluation
East Asian: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
—
[
  • 11,398 cases
  • , 101,751 controls
]
,
63.8 % Male samples
 East Asian
(Japanese)		 BBJ
Europe PMC: 36376295
[
  • 95,524 cases
  • , 1,270,968 controls
]
 European
(European American, British, Finnish)		 6 cohorts
  • BioMe
  • ,FinnGen
  • ,HERMES
  • ,PMB
  • ,discovEHR
  • ,eMERGE
Europe PMC: 36376295
[
  • 5,791 cases
  • , 20,883 controls
]
 African unspecified
(African American)		 BioMe, PMB, eMERGE
Europe PMC: 36517512
[
  • 19,495 cases
  • , 258,943 controls
]
 European
(European American)		 MVP
Europe PMC: 36517512
[
  • 19,589 cases
  • , 258,943 controls
]
 European
(European American)		 MVP
FinnGen
[
  • 138,860 cases
  • , 734,393 controls
]
 European
(European American, British, Finnish, German, Estonian, Lebanese, Danish, French)		 CARDIoGRAMplusC4D, FinnGen, UKB
FinnGen
[
  • 106,386 cases
  • , 1,177,286 controls
]
 European
(European American, British, Icelander, German, Finnish, Scottish, Swedish, Dutch, Irish)		 AFGen, HUNT, MGI, MyCode, UKB
Europe PMC: 36944631
 43,230 individuals European
(British)		 UKB

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
PPM022992 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 — —

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
PSS012088 — —
[
  • 1,837 cases
  • , 11,320 controls
]
,
63.8 % Male samples
 Mean = 66.4 years East Asian
(Japanese)		 — BBJ —