Polygenic Score (PGS) ID: PGS000904

Predicted Trait
Reported Trait PR interval
Mapped Trait(s) PR interval (EFO_0004462)
Released in PGS Catalog: Sept. 17, 2021
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 PRS582_PR
Development Method
Name Clumping and Thresholding (C+T)
Parameters r^2 = 0.1 in a 250kb region, p = 5e-8, imputation quality > 0.6
Variants
Original Genome Build GRCh37
Number of Variants 582
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000236
Citation (link to publication) Ntalla I et al. Nat Commun (2020)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
271,570 individuals (100%)
PGS Evaluation
European: 100%
8 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
GWAS Catalog: GCST010320
Europe PMC: 32439900
271,570 individualsEuropean34 cohorts
  • AGES
  • ,AMISH
  • ,ARIC
  • ,BRIGHT
  • ,BioMe
  • ,CHRIS
  • ,CHS
  • ,CROATIA-KORCULA
  • ,CROATIA-SPLIT
  • ,ERF
  • ,FHS
  • ,FINCAVAS
  • ,GS:SFHS
  • ,Health2000
  • ,INGI-Carlantino
  • ,INGI-FVG
  • ,KORA
  • ,LifeLines
  • ,MESA
  • ,MICROS
  • ,NEO
  • ,ORCADES
  • ,PIVUS
  • ,PREVEND
  • ,PROSPER
  • ,RS
  • ,SHIP
  • ,SardiNIA
  • ,TwinsUK
  • ,UKB
  • ,ULSAM
  • ,WHI
  • ,YFS
  • ,deCODE
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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
PPM002666PSS001175|
European Ancestry|
309,269 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Atrial fibrillationOR: 0.95
β: -0.047 (0.009)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show more
PPM002667PSS001178|
European Ancestry|
290,252 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Distal conduction diseaseOR: 1.11
β: 0.103 (0.019)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show more
PPM002668PSS001176|
European Ancestry|
309,041 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Atrioventricular preexcitationOR: 0.85
β: -0.168 (0.057)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show more
PPM002669PSS001179|
European Ancestry|
309,241 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Implantable cardioverter defibrillatorOR: 1.09
β: 0.086 (0.04)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show more
PPM002670PSS001180|
European Ancestry|
309,246 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Mitral valve prolapseOR: 1.1
β: 0.093 (0.044)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show more
PPM002671PSS001181|
European Ancestry|
305,471 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Non-ischemic cardiomyopathyOR: 0.95
β: -0.051 (0.024)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show more
PPM002672PSS001182|
European Ancestry|
309,270 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: PacemakerOR: 1.06
β: 0.062 (0.016)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show more
PPM002673PSS001183|
European Ancestry|
309,255 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Valve diseaseOR: 1.03
β: 0.03 (0.013)
Baseline age, sex, genotyping array, trait-related principal componentsOnly 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quali... ty.Show 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
PSS001175Cases were individuals with atrial fibrillation. Disease status was ascertained based on data from b... aseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 14,812 cases
  • , 294,457 controls
]
EuropeanUKB
PSS001176Cases were individuals with atrioventricular preexcitation. Disease status was ascertained based on ... data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 307 cases
  • , 308,734 controls
]
EuropeanUKB
PSS001178Cases were individuals with distal conduction disease. Disease status was ascertained based on data ... from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 2,789 cases
  • , 287,463 controls
]
EuropeanUKB
PSS001179Cases were individuals with implantable cardioverter defibrillators. Disease status was ascertained ... based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 633 cases
  • , 308,608 controls
]
EuropeanUKB
PSS001180Cases were individuals with mitral valve prolapse. Disease status was ascertained based on data from...  baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 529 cases
  • , 308,717 controls
]
EuropeanUKB
PSS001181Cases were individuals with non-ischemic cardiomyopathy. Disease status was ascertained based on dat... a from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 1,703 cases
  • , 303,768 controls
]
EuropeanUKB
PSS001182Cases were individuals with a pacemaker. Disease status was ascertained based on data from baseline ... interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 3,975 cases
  • , 305,295 controls
]
EuropeanUKB
PSS001183Cases were individuals with valve disease. Disease status was ascertained based on data from baselin... e interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23.Show more
[
  • 6,244 cases
  • , 303,011 controls
]
EuropeanUKB
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