PGS Publication: PGP000591

Publication Information (EuropePMC)
Title Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms.
PubMed ID 37278238(Europe PMC)
doi 10.1161/circgen.122.003808
Publication Date June 6, 2023
Journal Circ Genom Precis Med
Author(s) Wang X, Khurshid S, Choi SH, Friedman S, Weng LC, Reeder C, Pirruccello JP, Singh P, Lau ES, Venn R, Diamant N, Di Achille P, Philippakis A, Anderson CD, Ho JE, Ellinor PT, Batra P, Lubitz SA.
Released in PGS Catalog: Feb. 20, 2024

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
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South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

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)
PGS004613
(PRSCHARGE_AF)
 PGP000591 |
Wang X et al. Circ Genom Precis Med (2023)
 CHARGE-AF predicted 5-year risk of atrial fibrillation atrial fibrillation 1,117,400
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004613/ScoringFiles/PGS004613.txt.gz
PGS004612
(PRSECG_AI)
 PGP000591 |
Wang X et al. Circ Genom Precis Med (2023)
 ECG-AI predicted 5-year risk of atrial fibrillation atrial fibrillation 1,117,399
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004612/ScoringFiles/PGS004612.txt.gz

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) 		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
PPM020787 PGS004612
(PRSECG_AI)
 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 —
PPM020788 PGS004613
(PRSCHARGE_AF)
 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: 1.12 [1.09, 1.14] C-index: 0.739 — Age at enrollment, sex, genotyping array, 20 PCs of ancestry —

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
PSS011412 — — 370,121 individuals — European — UKB —
PSS011412 — — 54,290 individuals — Not reported — UKB —