Polygenic Score (PGS) ID: PGS003461

Predicted Trait
Reported Trait Atrial fibrillation
Mapped Trait(s) atrial fibrillation (EFO_0000275)
Released in PGS Catalog: March 24, 2023
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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 GRS162_AF
Development Method
Name Genome-wide significant SNPs
Parameters NR
Variants
Original Genome Build NR
Number of Variants 162
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000454
Citation (link to publication) Yang L et al. NPJ Digit Med (2023)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
1,030,836 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
GWAS Catalog: GCST006414
Europe PMC: 30061737
1,030,836 individualsEuropeanNR
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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.

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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
PPM017265PSS010183|
European Ancestry|
62,927 individuals
PGP000454 |
Yang L et al. NPJ Digit Med (2023)
Reported Trait: Incident atrial fibrillationHazard ratio (HR, high vs low tertile): 2.54 [2.26, 2.85]
PPM017266PSS010183|
European Ancestry|
62,927 individuals
PGP000454 |
Yang L et al. NPJ Digit Med (2023)
Reported Trait: Incident atrial fibrillation with circadian rest-activity characteristics low amplitudeHR: 3.87 [3.07, 4.87]Age, sex, first 10 principal components of ancestry, Townsend deprivation index, recruitment centre,...  education level, season of accelerometer wear, BMI categories, healthy diet score, smoking status, alcohol intake, coffee consumption, tea consumption, hypertension, diabetes, dyslipidemia, sleep efficiency, sleep durationShow more
PPM017267PSS010183|
European Ancestry|
62,927 individuals
PGP000454 |
Yang L et al. NPJ Digit Med (2023)
Reported Trait: Incident atrial fibrillation with circadian rest-activity characteristics delayed acrophaseHR: 2.69 [2.18, 3.33]Age, sex, first 10 principal components of ancestry, Townsend deprivation index, recruitment centre,...  education level, season of accelerometer wear, BMI categories, healthy diet score, smoking status, alcohol intake, coffee consumption, tea consumption, hypertension, diabetes, dyslipidemia, sleep efficiency, sleep durationShow more
PPM017268PSS010183|
European Ancestry|
62,927 individuals
PGP000454 |
Yang L et al. NPJ Digit Med (2023)
Reported Trait: Incident atrial fibrillation with circadian rest-activity characteristics low Pseudo-FHR: 2.55 [2.04, 3.18]Age, sex, first 10 principal components of ancestry, Townsend deprivation index, recruitment centre,...  education level, season of accelerometer wear, BMI categories, healthy diet score, smoking status, alcohol intake, coffee consumption, tea consumption, hypertension, diabetes, dyslipidemia, sleep efficiency, sleep durationShow more
PPM017269PSS010183|
European Ancestry|
62,927 individuals
PGP000454 |
Yang L et al. NPJ Digit Med (2023)
Reported Trait: Incident atrial fibrillation with circadian rest-activity characteristics low mesorHR: 3.67 [2.97, 4.54]Age, sex, first 10 principal components of ancestry, Townsend deprivation index, recruitment centre,...  education level, season of accelerometer wear, BMI categories, healthy diet score, smoking status, alcohol intake, coffee consumption, tea consumption, hypertension, diabetes, dyslipidemia, sleep efficiency, sleep durationShow more
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Evaluated Samples

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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
PSS010183Incident AF was defined as International Classification of Diseases (ICD) edition 10 (codes I48, I48... .0, I48.1, I48.2, I48.3, I48.4, I48.9) and operative procedures (codes K62.1, K62.2, K62.3, K62.4)Show moreMedian = 6.16 years62,927 individuals,
43.87 % Male samples
Mean = 62.48 yearsEuropeanUKB
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