Polygenic Score (PGS) ID: PGS004186

Predicted Trait
Reported Trait Atrial fibrillation
Mapped Trait(s) atrial fibrillation (EFO_0000275)
Additional Trait Information UK Biobank codes: non-cancer codes: 1471, 1483; ICD9: 4273; ICD10: I480-I484, I489
Released in PGS Catalog: Dec. 15, 2023
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 afib_1
Development Method
Name LASSO
Parameters To reduce the number of candidate SNPs to a computationally feasible set, a gwas was performed on th... e raw phenotype and the 50,000 snps with smallest p-value were retained. The raw phenotype was regressed on age, sex, and the top 20 UK Biobank PCs and a residual phenotype was then built. The LASSO model was trained using these 50k SNPs and the adjusted phenotype.Show more
Variants
Original Genome Build GRCh37
Number of Variants 3,082
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000520
Citation (link to publication) Raben TG et al. Sci Rep (2023)
Ancestry Distribution
Score Development/Training
European: 100%
200,000 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Score Development/Training
Loading, please wait
Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
Phenotype Definitions & Methods
Age of Study Participants
Participant Follow-up Time
Additional Ancestry Description
Additional Sample/Cohort Information
[
  • 19,934 cases
  • , 180,066 controls
]
,
47.0 % Male samples
EuropeanNRUK Biobank codes: non-cancer codes: 1471, 1483; ICD9: 4273; ICD10: I480-I484, I489used UK self report 'white' category and then used an adjusted phenotype that includes a regression on the top 20 PCs
Showing 1 to 1 of 1 rows

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.

Loading, please wait
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
PPM020119PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Atrial fibrillationAUROC: 0.73831year of birth, sex
PPM020120PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Atrial fibrillationAUROC: 0.73501year of birth, sex
Showing 1 to 2 of 2 rows

Evaluated Samples

Loading, please wait
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
PSS01129622,667 sibling pairs45,334 individualsEuropeanUKB
Showing 1 to 1 of 1 rows