Trait: electrocardiography

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004327
Description Recording of the moment-to-moment electromotive forces of the HEART as projected onto various sites on the body's surface, delineated as a scalar function of time. The recording is monitored by a tracing on slow moving chart paper or by observing it on a cardioscope, which is a CATHODE RAY TUBE DISPLAY.
Trait category
Cardiovascular measurement
Synonyms 2 synonyms
  • EKG
  • electrocardiogram
Mapped terms 3 mapped terms
  • ICD9:89.52
  • MeSH:D004562
  • NCIt:C38053
Child trait(s) 5 child traits

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:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "electrocardiography" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000735
(PRS_PR)
PGP000144 |
Tadros R et al. Eur Heart J (2019)
PR interval PR interval 44
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000735/ScoringFiles/PGS000735.txt.gz
PGS000736
(PRS_QRS)
PGP000144 |
Tadros R et al. Eur Heart J (2019)
QRS duration QRS duration 26
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000736/ScoringFiles/PGS000736.txt.gz
PGS000768
(PRS_QT)
PGP000175 |
Lahrouchi N et al. Circulation (2020)
QT-interval QT interval 68
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000768/ScoringFiles/PGS000768.txt.gz
PGS000904
(PRS582_PR)
PGP000236 |
Ntalla I et al. Nat Commun (2020)
PR interval PR interval 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000904/ScoringFiles/PGS000904.txt.gz
PGS000905
(PRS743_PR)
PGP000236 |
Ntalla I et al. Nat Commun (2020)
PR interval PR interval 743
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000905/ScoringFiles/PGS000905.txt.gz
PGS001521
(GBE_INI22330)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
PQ interval PR interval 391
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001521/ScoringFiles/PGS001521.txt.gz
PGS001525
(GBE_INI12340)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
QRS duration QRS duration 401
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001525/ScoringFiles/PGS001525.txt.gz
PGS001526
(GBE_INI22331)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
QT interval QT interval 609
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001526/ScoringFiles/PGS001526.txt.gz
PGS001527
(GBE_INI22332)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
QTC interval (QT interval according to Bazett) QT interval 115
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001527/ScoringFiles/PGS001527.txt.gz
PGS001902
(portability-PLR_ECG_P_duration)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
P duration P wave duration 640
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001902/ScoringFiles/PGS001902.txt.gz
PGS001903
(portability-PLR_ECG_PP_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
PP interval electrocardiography 4,368
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001903/ScoringFiles/PGS001903.txt.gz
PGS001904
(portability-PLR_ECG_PQ_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
PQ interval PR interval 826
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001904/ScoringFiles/PGS001904.txt.gz
PGS001905
(portability-PLR_ECG_QT_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
QT interval QT interval 2,300
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001905/ScoringFiles/PGS001905.txt.gz
PGS001906
(portability-PLR_ECG_QTC_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
QTC interval QT interval 641
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001906/ScoringFiles/PGS001906.txt.gz
PGS001907
(portability-PLR_ECG_RR_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
RR interval RR interval 1,964
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001907/ScoringFiles/PGS001907.txt.gz
PGS001948
(portability-PLR_log_ECG_QRS_duration)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
QRS duration QRS duration 1,967
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001948/ScoringFiles/PGS001948.txt.gz
PGS002116
(portability-ldpred2_ECG_P_duration)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
P duration P wave duration 564,874
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002116/ScoringFiles/PGS002116.txt.gz
PGS002117
(portability-ldpred2_ECG_PP_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
PP interval electrocardiography 667,705
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002117/ScoringFiles/PGS002117.txt.gz
PGS002118
(portability-ldpred2_ECG_PQ_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
PQ interval PR interval 413,539
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002118/ScoringFiles/PGS002118.txt.gz
PGS002119
(portability-ldpred2_ECG_QT_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
QT interval QT interval 571,268
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002119/ScoringFiles/PGS002119.txt.gz
PGS002120
(portability-ldpred2_ECG_QTC_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
QTC interval QT interval 490,392
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002120/ScoringFiles/PGS002120.txt.gz
PGS002121
(portability-ldpred2_ECG_RR_interval)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
RR interval RR interval 616,710
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002121/ScoringFiles/PGS002121.txt.gz
PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
QRS duration QRS duration 471,172
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002166/ScoringFiles/PGS002166.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
PPM001759 PGS000735
(PRS_PR)
PSS000905|
European Ancestry|
1,185 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram OR: 1.017 [1.013, 1.022]
PPM001754 PGS000735
(PRS_PR)
PSS000904|
European Ancestry|
1,257 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: PR slope β: 0.22 (0.08)
PPM001750 PGS000735
(PRS_PR)
PSS000906|
European Ancestry|
1,193 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: Baseline PR in non SCN5A mutation carriers Correlation coefficent (r): 0.23
PPM001752 PGS000735
(PRS_PR)
PSS000906|
European Ancestry|
1,193 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: PR slope in non SCN5A mutation carriers β: 0.16 (0.08) Correlation coefficient (r): 0.09
PPM001760 PGS000736
(PRS_QRS)
PSS000905|
European Ancestry|
1,185 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram OR: 1.047 [1.031, 1.063]
PPM001753 PGS000736
(PRS_QRS)
PSS000906|
European Ancestry|
1,193 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: QRS slope in non SCN5A mutation carriers β: 0.93 (0.2) Correlation coefficient (r): 0.14
PPM001751 PGS000736
(PRS_QRS)
PSS000906|
European Ancestry|
1,193 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: Baseline QRS in non SCN5A mutation carriers Correlation coefficent (r): 0.15
PPM001755 PGS000736
(PRS_QRS)
PSS000904|
European Ancestry|
1,257 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: QRS slope β: 0.8 (0.22)
PPM001756 PGS000736
(PRS_QRS)
PSS000903|
European Ancestry|
295 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: QRS slope β: 0.8 (0.22) Age, SCN5A mutation
PPM001978 PGS000768
(PRS_QT)
PSS000987|
European Ancestry|
9,457 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome in individuals without a single rare variant in a major LQTS gene β: 0.733 (0.09) Odds Ratio (OR, top 25% vs. bottom 25%): 5.0 [2.73, 9.17] PCs (1-10)
PPM001976 PGS000768
(PRS_QT)
PSS000987|
European Ancestry|
9,457 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome β: 0.322 (0.03) Odds Ratio (OR, top 25% vs. bottom 25%): 2.27 [1.9, 2.7] PCs (1-10)
PPM001977 PGS000768
(PRS_QT)
PSS000987|
European Ancestry|
9,457 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome in individuals with a single rare variant in a major LQTS gene β: 0.277 (0.032) Odds Ratio (OR, top 25% vs. bottom 25%): 2.09 [1.74, 2.51] PCs (1-10)
PPM001979 PGS000768
(PRS_QT)
PSS000988|
East Asian Ancestry|
2,089 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome β: 0.412 (0.055) Odds Ratio (OR, top 25% vs. bottom 25%): 2.9 [2.09, 4.04] PCs (1-10) Only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445.
PPM001980 PGS000768
(PRS_QT)
PSS000988|
East Asian Ancestry|
2,089 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome in individuals with a single rare variant in a major LQTS gene β: 0.384 (0.058) Odds Ratio (OR, top 25% vs. bottom 25%): 2.41 [1.71, 3.4] PCs (1-10) Only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445.
PPM001981 PGS000768
(PRS_QT)
PSS000988|
East Asian Ancestry|
2,089 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome in individuals without a single rare variant in a major LQTS gene β: 0.74 (0.129) Odds Ratio (OR, top 25% vs. bottom 25%): 12.6 [3.28, 41.67] PCs (1-10) Only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445.
PPM001982 PGS000768
(PRS_QT)
PSS000989|
Multi-ancestry (including European)|
11,546 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome β: 0.343 (0.0263) Odds Ratio (OR, top 25% vs. bottom 25%): 2.52 [2.16, 2.94] PCs (1-10) For Japanese individuals only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445.
PPM001983 PGS000768
(PRS_QT)
PSS000989|
Multi-ancestry (including European)|
11,546 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome in individuals with a single rare variant in a major LQTS gene β: 0.294 (0.028) Odds Ratio (OR, top 25% vs. bottom 25%): 2.23 [1.9, 2.62] PCs (1-10) For Japanese individuals only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445.
PPM001984 PGS000768
(PRS_QT)
PSS000989|
Multi-ancestry (including European)|
11,546 individuals
PGP000175 |
Lahrouchi N et al. Circulation (2020)
Reported Trait: Long QT syndrome in individuals without a single rare variant in a major LQTS gene β: 0.735 (0.0738) Odds Ratio (OR, top 25% vs. bottom 25%): 6.13 [3.57, 10.52] PCs (1-10) For Japanese individuals only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445.
PPM002666 PGS000904
(PRS582_PR)
PSS001175|
European Ancestry|
309,269 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Atrial fibrillation OR: 0.95
β: -0.047 (0.009)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002667 PGS000904
(PRS582_PR)
PSS001178|
European Ancestry|
290,252 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Distal conduction disease OR: 1.11
β: 0.103 (0.019)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002668 PGS000904
(PRS582_PR)
PSS001176|
European Ancestry|
309,041 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Atrioventricular preexcitation OR: 0.85
β: -0.168 (0.057)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002669 PGS000904
(PRS582_PR)
PSS001179|
European Ancestry|
309,241 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Implantable cardioverter defibrillator OR: 1.09
β: 0.086 (0.04)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002670 PGS000904
(PRS582_PR)
PSS001180|
European Ancestry|
309,246 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Mitral valve prolapse OR: 1.1
β: 0.093 (0.044)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002671 PGS000904
(PRS582_PR)
PSS001181|
European Ancestry|
305,471 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Non-ischemic cardiomyopathy OR: 0.95
β: -0.051 (0.024)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002672 PGS000904
(PRS582_PR)
PSS001182|
European Ancestry|
309,270 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Pacemaker OR: 1.06
β: 0.062 (0.016)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002673 PGS000904
(PRS582_PR)
PSS001183|
European Ancestry|
309,255 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Valve disease OR: 1.03
β: 0.03 (0.013)
Baseline age, sex, genotyping array, trait-related principal components Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality.
PPM002674 PGS000905
(PRS743_PR)
PSS001175|
European Ancestry|
309,269 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Atrial fibrillation OR: 0.94
β: -0.058 (0.009)
Baseline age, sex, genotyping array, trait-related principal components
PPM002675 PGS000905
(PRS743_PR)
PSS001178|
European Ancestry|
290,252 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Distal conduction disease OR: 1.11
β: 0.105 (0.019)
Baseline age, sex, genotyping array, trait-related principal components
PPM002676 PGS000905
(PRS743_PR)
PSS001176|
European Ancestry|
309,041 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Atrioventricular preexcitation OR: 0.83
β: -0.191 (0.057)
Baseline age, sex, genotyping array, trait-related principal components
PPM002677 PGS000905
(PRS743_PR)
PSS001177|
European Ancestry|
309,246 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Coronary artery disease OR: 0.99
β: -0.014 (0.007)
Baseline age, sex, genotyping array, trait-related principal components
PPM002678 PGS000905
(PRS743_PR)
PSS001182|
European Ancestry|
309,270 individuals
PGP000236 |
Ntalla I et al. Nat Commun (2020)
Reported Trait: Pacemaker OR: 1.06
β: 0.056 (0.016)
Baseline age, sex, genotyping array, trait-related principal components
PPM005300 PGS001521
(GBE_INI22330)
PSS004966|
African Ancestry|
120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: PQ interval : 0.14397 [0.12818, 0.15975]
Incremental R2 (full-covars): 0.00024
PGS R2 (no covariates): 0.01367 [0.00807, 0.01928]
age, sex, UKB array type, Genotype PCs
PPM005301 PGS001521
(GBE_INI22330)
PSS004967|
East Asian Ancestry|
68 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: PQ interval : 0.2664 [0.23052, 0.30228]
Incremental R2 (full-covars): -0.00945
PGS R2 (no covariates): 0.00783 [-0.00049, 0.01615]
age, sex, UKB array type, Genotype PCs
PPM005302 PGS001521
(GBE_INI22330)
PSS004968|
European Ancestry|
834 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: PQ interval : 0.10209 [0.09497, 0.10922]
Incremental R2 (full-covars): 0.04534
PGS R2 (no covariates): 0.05149 [0.04615, 0.05684]
age, sex, UKB array type, Genotype PCs
PPM005303 PGS001521
(GBE_INI22330)
PSS004969|
South Asian Ancestry|
193 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: PQ interval : 0.13589 [0.12179, 0.15]
Incremental R2 (full-covars): -0.01928
PGS R2 (no covariates): 0.00031 [-0.00047, 0.00108]
age, sex, UKB array type, Genotype PCs
PPM005304 PGS001521
(GBE_INI22330)
PSS004970|
European Ancestry|
3,353 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: PQ interval : 0.07982 [0.0759, 0.08375]
Incremental R2 (full-covars): 0.02363
PGS R2 (no covariates): 0.02488 [0.02256, 0.0272]
age, sex, UKB array type, Genotype PCs
PPM005235 PGS001525
(GBE_INI12340)
PSS004806|
African Ancestry|
203 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QRS duration : 0.20692 [0.18939, 0.22446]
Incremental R2 (full-covars): 0.01284
PGS R2 (no covariates): 0.02209 [0.01502, 0.02915]
age, sex, UKB array type, Genotype PCs
PPM005236 PGS001525
(GBE_INI12340)
PSS004807|
East Asian Ancestry|
102 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QRS duration : 0.199 [0.16514, 0.23286]
Incremental R2 (full-covars): 0.01328
PGS R2 (no covariates): 0.00454 [-0.00181, 0.0109]
age, sex, UKB array type, Genotype PCs
PPM005237 PGS001525
(GBE_INI12340)
PSS004808|
European Ancestry|
1,601 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QRS duration : 0.1428 [0.13475, 0.15084]
Incremental R2 (full-covars): 0.02153
PGS R2 (no covariates): 0.01977 [0.01635, 0.02319]
age, sex, UKB array type, Genotype PCs
PPM005238 PGS001525
(GBE_INI12340)
PSS004809|
South Asian Ancestry|
315 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QRS duration : 0.20988 [0.19385, 0.2259]
Incremental R2 (full-covars): 0.00738
PGS R2 (no covariates): 0.00578 [0.00243, 0.00912]
age, sex, UKB array type, Genotype PCs
PPM005239 PGS001525
(GBE_INI12340)
PSS004810|
European Ancestry|
5,223 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QRS duration : 0.11697 [0.11241, 0.12153]
Incremental R2 (full-covars): 0.01872
PGS R2 (no covariates): 0.02164 [0.01947, 0.02382]
age, sex, UKB array type, Genotype PCs
PPM005305 PGS001526
(GBE_INI22331)
PSS004971|
African Ancestry|
120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QT interval : 0.07804 [0.06552, 0.09056]
Incremental R2 (full-covars): -0.0033
PGS R2 (no covariates): 0.00046 [-0.00058, 0.0015]
age, sex, UKB array type, Genotype PCs
PPM005306 PGS001526
(GBE_INI22331)
PSS004972|
East Asian Ancestry|
68 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QT interval : 0.32528 [0.28882, 0.36175]
Incremental R2 (full-covars): 0.0416
PGS R2 (no covariates): 0.07506 [0.05104, 0.09907]
age, sex, UKB array type, Genotype PCs
PPM005307 PGS001526
(GBE_INI22331)
PSS004973|
European Ancestry|
872 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QT interval : 0.05819 [0.05255, 0.06383]
Incremental R2 (full-covars): 0.02543
PGS R2 (no covariates): 0.02774 [0.02372, 0.03176]
age, sex, UKB array type, Genotype PCs
PPM005308 PGS001526
(GBE_INI22331)
PSS004974|
South Asian Ancestry|
201 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QT interval : 0.06747 [0.05675, 0.0782]
Incremental R2 (full-covars): -0.0012
PGS R2 (no covariates): 0.0053 [0.0021, 0.00851]
age, sex, UKB array type, Genotype PCs
PPM005309 PGS001526
(GBE_INI22331)
PSS004975|
European Ancestry|
3,523 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QT interval : 0.01777 [0.01579, 0.01974]
Incremental R2 (full-covars): 0.01493
PGS R2 (no covariates): 0.01503 [0.01321, 0.01685]
age, sex, UKB array type, Genotype PCs
PPM005310 PGS001527
(GBE_INI22332)
PSS004976|
African Ancestry|
120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QTC interval : 0.19276 [0.17553, 0.20998]
Incremental R2 (full-covars): 0.00351
PGS R2 (no covariates): 0.00541 [0.00185, 0.00897]
age, sex, UKB array type, Genotype PCs
PPM005311 PGS001527
(GBE_INI22332)
PSS004977|
East Asian Ancestry|
68 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QTC interval : 0.21617 [0.18164, 0.25071]
Incremental R2 (full-covars): 0.01252
PGS R2 (no covariates): 0.00397 [-0.00198, 0.00991]
age, sex, UKB array type, Genotype PCs
PPM005312 PGS001527
(GBE_INI22332)
PSS004978|
European Ancestry|
872 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QTC interval : 0.07278 [0.06657, 0.079]
Incremental R2 (full-covars): 0.01137
PGS R2 (no covariates): 0.00935 [0.00697, 0.01173]
age, sex, UKB array type, Genotype PCs
PPM005313 PGS001527
(GBE_INI22332)
PSS004979|
South Asian Ancestry|
201 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QTC interval : 0.07001 [0.05911, 0.0809]
Incremental R2 (full-covars): -0.00126
PGS R2 (no covariates): 0.00213 [0.00009, 0.00417]
age, sex, UKB array type, Genotype PCs
PPM005314 PGS001527
(GBE_INI22332)
PSS004980|
European Ancestry|
3,523 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: QTC interval : 0.07628 [0.07243, 0.08013]
Incremental R2 (full-covars): 0.01976
PGS R2 (no covariates): 0.02423 [0.02193, 0.02652]
age, sex, UKB array type, Genotype PCs
PPM010099 PGS001902
(portability-PLR_ECG_P_duration)
PSS009365|
European Ancestry|
1,622 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.0975 [0.0487, 0.1458] sex, age, birth date, deprivation index, 16 PCs
PPM010100 PGS001902
(portability-PLR_ECG_P_duration)
PSS009139|
European Ancestry|
310 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.1126 [-0.0026, 0.2249] sex, age, birth date, deprivation index, 16 PCs
PPM010101 PGS001902
(portability-PLR_ECG_P_duration)
PSS008693|
European Ancestry|
474 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.0776 [-0.0146, 0.1684] sex, age, birth date, deprivation index, 16 PCs
PPM010102 PGS001902
(portability-PLR_ECG_P_duration)
PSS008467|
Greater Middle Eastern Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): -0.1487 [-0.4886, 0.2303] sex, age, birth date, deprivation index, 16 PCs
PPM010103 PGS001902
(portability-PLR_ECG_P_duration)
PSS008247|
South Asian Ancestry|
299 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.0714 [-0.0464, 0.1872] sex, age, birth date, deprivation index, 16 PCs
PPM010104 PGS001902
(portability-PLR_ECG_P_duration)
PSS008025|
East Asian Ancestry|
134 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.2031 [0.0199, 0.3731] sex, age, birth date, deprivation index, 16 PCs
PPM010105 PGS001902
(portability-PLR_ECG_P_duration)
PSS007811|
African Ancestry|
76 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.2803 [0.0188, 0.5059] sex, age, birth date, deprivation index, 16 PCs
PPM010106 PGS001902
(portability-PLR_ECG_P_duration)
PSS008915|
African Ancestry|
138 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.1764 [-0.0045, 0.3461] sex, age, birth date, deprivation index, 16 PCs
PPM010108 PGS001903
(portability-PLR_ECG_PP_interval)
PSS009137|
European Ancestry|
191 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.1015 [-0.0493, 0.2478] sex, age, birth date, deprivation index, 16 PCs
PPM010109 PGS001903
(portability-PLR_ECG_PP_interval)
PSS008691|
European Ancestry|
225 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.1429 [0.006, 0.2745] sex, age, birth date, deprivation index, 16 PCs
PPM010110 PGS001903
(portability-PLR_ECG_PP_interval)
PSS008465|
Greater Middle Eastern Ancestry|
25 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): -0.3367 [-0.9398, 0.7761] sex, age, birth date, deprivation index, 16 PCs
PPM010111 PGS001903
(portability-PLR_ECG_PP_interval)
PSS008245|
South Asian Ancestry|
165 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.0817 [-0.0824, 0.2415] sex, age, birth date, deprivation index, 16 PCs
PPM010113 PGS001903
(portability-PLR_ECG_PP_interval)
PSS007809|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.0201 [-0.349, 0.3838] sex, age, birth date, deprivation index, 16 PCs
PPM010114 PGS001903
(portability-PLR_ECG_PP_interval)
PSS008913|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.2346 [-0.0787, 0.5057] sex, age, birth date, deprivation index, 16 PCs
PPM010107 PGS001903
(portability-PLR_ECG_PP_interval)
PSS009363|
European Ancestry|
1,036 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.1051 [0.0439, 0.1655] sex, age, birth date, deprivation index, 16 PCs
PPM010112 PGS001903
(portability-PLR_ECG_PP_interval)
PSS008023|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.144 [-0.1314, 0.3987] sex, age, birth date, deprivation index, 16 PCs
PPM010115 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS009364|
European Ancestry|
992 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.173 [0.1113, 0.2333] sex, age, birth date, deprivation index, 16 PCs
PPM010116 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS009138|
European Ancestry|
181 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.1945 [0.041, 0.3389] sex, age, birth date, deprivation index, 16 PCs
PPM010117 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS008692|
European Ancestry|
217 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.2467 [0.1108, 0.3736] sex, age, birth date, deprivation index, 16 PCs
PPM010118 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS008466|
Greater Middle Eastern Ancestry|
25 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.2876 [-0.7969, 0.9331] sex, age, birth date, deprivation index, 16 PCs
PPM010119 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS008246|
South Asian Ancestry|
159 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.09 [-0.0776, 0.2527] sex, age, birth date, deprivation index, 16 PCs
PPM010120 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS008024|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.0694 [-0.2047, 0.3335] sex, age, birth date, deprivation index, 16 PCs
PPM010121 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS007810|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.212 [-0.1676, 0.5368] sex, age, birth date, deprivation index, 16 PCs
PPM010122 PGS001904
(portability-PLR_ECG_PQ_interval)
PSS008914|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.2774 [-0.0331, 0.539] sex, age, birth date, deprivation index, 16 PCs
PPM010124 PGS001905
(portability-PLR_ECG_QT_interval)
PSS009141|
European Ancestry|
193 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.1764 [0.0279, 0.3172] sex, age, birth date, deprivation index, 16 PCs
PPM010125 PGS001905
(portability-PLR_ECG_QT_interval)
PSS008695|
European Ancestry|
226 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.2353 [0.1019, 0.3604] sex, age, birth date, deprivation index, 16 PCs
PPM010126 PGS001905
(portability-PLR_ECG_QT_interval)
PSS008469|
Greater Middle Eastern Ancestry|
26 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): -0.1488 [-0.8569, 0.7538] sex, age, birth date, deprivation index, 16 PCs
PPM010127 PGS001905
(portability-PLR_ECG_QT_interval)
PSS008249|
South Asian Ancestry|
165 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): -0.0176 [-0.18, 0.1459] sex, age, birth date, deprivation index, 16 PCs
PPM010128 PGS001905
(portability-PLR_ECG_QT_interval)
PSS008027|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.325 [0.06, 0.5472] sex, age, birth date, deprivation index, 16 PCs
PPM010129 PGS001905
(portability-PLR_ECG_QT_interval)
PSS007813|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): -0.034 [-0.3956, 0.3367] sex, age, birth date, deprivation index, 16 PCs
PPM010130 PGS001905
(portability-PLR_ECG_QT_interval)
PSS008917|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.1053 [-0.2091, 0.4] sex, age, birth date, deprivation index, 16 PCs
PPM010123 PGS001905
(portability-PLR_ECG_QT_interval)
PSS009367|
European Ancestry|
1,042 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.1488 [0.0883, 0.2082] sex, age, birth date, deprivation index, 16 PCs
PPM010131 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS009366|
European Ancestry|
1,040 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.2353 [0.1765, 0.2925] sex, age, birth date, deprivation index, 16 PCs
PPM010132 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS009140|
European Ancestry|
191 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.2876 [0.1438, 0.4196] sex, age, birth date, deprivation index, 16 PCs
PPM010133 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS008694|
European Ancestry|
225 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.1528 [0.0161, 0.2839] sex, age, birth date, deprivation index, 16 PCs
PPM010135 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS008248|
South Asian Ancestry|
165 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): -0.0987 [-0.2576, 0.0654] sex, age, birth date, deprivation index, 16 PCs
PPM010136 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS008026|
East Asian Ancestry|
72 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.2317 [-0.044, 0.4746] sex, age, birth date, deprivation index, 16 PCs
PPM010137 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS007812|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): -0.0515 [-0.4103, 0.321] sex, age, birth date, deprivation index, 16 PCs
PPM010138 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS008916|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.1979 [-0.1168, 0.4766] sex, age, birth date, deprivation index, 16 PCs
PPM010134 PGS001906
(portability-PLR_ECG_QTC_interval)
PSS008468|
Greater Middle Eastern Ancestry|
26 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.5901 [-0.425, 0.9478] sex, age, birth date, deprivation index, 16 PCs
PPM010139 PGS001907
(portability-PLR_ECG_RR_interval)
PSS009368|
European Ancestry|
1,042 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.065 [0.0037, 0.1258] sex, age, birth date, deprivation index, 16 PCs
PPM010140 PGS001907
(portability-PLR_ECG_RR_interval)
PSS009142|
European Ancestry|
193 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.0882 [-0.0618, 0.2343] sex, age, birth date, deprivation index, 16 PCs
PPM010141 PGS001907
(portability-PLR_ECG_RR_interval)
PSS008696|
European Ancestry|
226 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.1096 [-0.0276, 0.2426] sex, age, birth date, deprivation index, 16 PCs
PPM010142 PGS001907
(portability-PLR_ECG_RR_interval)
PSS008470|
Greater Middle Eastern Ancestry|
26 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): -0.3743 [-0.9096, 0.628] sex, age, birth date, deprivation index, 16 PCs
PPM010143 PGS001907
(portability-PLR_ECG_RR_interval)
PSS008250|
South Asian Ancestry|
166 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.0596 [-0.1039, 0.2199] sex, age, birth date, deprivation index, 16 PCs
PPM010144 PGS001907
(portability-PLR_ECG_RR_interval)
PSS008028|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.1051 [-0.1701, 0.365] sex, age, birth date, deprivation index, 16 PCs
PPM010146 PGS001907
(portability-PLR_ECG_RR_interval)
PSS008918|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.0322 [-0.2782, 0.3365] sex, age, birth date, deprivation index, 16 PCs
PPM010145 PGS001907
(portability-PLR_ECG_RR_interval)
PSS007814|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): -0.1946 [-0.5237, 0.1851] sex, age, birth date, deprivation index, 16 PCs
PPM010459 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS009431|
European Ancestry|
1,702 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.2202 [0.1743, 0.2652] sex, age, birth date, deprivation index, 16 PCs
PPM010461 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS008759|
European Ancestry|
487 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.2468 [0.1596, 0.3301] sex, age, birth date, deprivation index, 16 PCs
PPM010462 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS008533|
Greater Middle Eastern Ancestry|
50 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.1933 [-0.1794, 0.5176] sex, age, birth date, deprivation index, 16 PCs
PPM010463 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS008311|
South Asian Ancestry|
305 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.2407 [0.1281, 0.3472] sex, age, birth date, deprivation index, 16 PCs
PPM010464 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS008088|
East Asian Ancestry|
137 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.0168 [-0.1652, 0.1978] sex, age, birth date, deprivation index, 16 PCs
PPM010465 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS007875|
African Ancestry|
77 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.155 [-0.11, 0.3995] sex, age, birth date, deprivation index, 16 PCs
PPM010466 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS008979|
African Ancestry|
140 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.0017 [-0.1776, 0.1809] sex, age, birth date, deprivation index, 16 PCs
PPM010460 PGS001948
(portability-PLR_log_ECG_QRS_duration)
PSS009205|
European Ancestry|
329 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.1602 [0.0495, 0.267] sex, age, birth date, deprivation index, 16 PCs
PPM011785 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS008693|
European Ancestry|
474 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.0919 sex, age, birth date, deprivation index, 16 PCs
PPM011783 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS009365|
European Ancestry|
1,622 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.0694 [0.0205, 0.118] sex, age, birth date, deprivation index, 16 PCs
PPM011784 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS009139|
European Ancestry|
310 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.1064 [-0.0089, 0.2189] sex, age, birth date, deprivation index, 16 PCs
PPM011786 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS008467|
Greater Middle Eastern Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): -0.0742 [-0.429, 0.3005] sex, age, birth date, deprivation index, 16 PCs
PPM011787 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS008247|
South Asian Ancestry|
299 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.0224 [-0.0953, 0.1394] sex, age, birth date, deprivation index, 16 PCs
PPM011788 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS008025|
East Asian Ancestry|
134 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.1083 [-0.0771, 0.2865] sex, age, birth date, deprivation index, 16 PCs
PPM011789 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS007811|
African Ancestry|
76 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.1808 [-0.0862, 0.4236] sex, age, birth date, deprivation index, 16 PCs
PPM011790 PGS002116
(portability-ldpred2_ECG_P_duration)
PSS008915|
African Ancestry|
138 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: P duration Partial Correlation (partial-r): 0.1921 [0.0118, 0.3604] sex, age, birth date, deprivation index, 16 PCs
PPM011796 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS008023|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.1932 [-0.0813, 0.4405] sex, age, birth date, deprivation index, 16 PCs
PPM011791 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS009363|
European Ancestry|
1,036 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.0979 [0.0366, 0.1584] sex, age, birth date, deprivation index, 16 PCs
PPM011792 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS009137|
European Ancestry|
191 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.2685 [0.1234, 0.4024] sex, age, birth date, deprivation index, 16 PCs
PPM011793 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS008691|
European Ancestry|
225 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.1491 [0.0123, 0.2804] sex, age, birth date, deprivation index, 16 PCs
PPM011794 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS008465|
Greater Middle Eastern Ancestry|
25 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.5089 [-0.6776, 0.9601] sex, age, birth date, deprivation index, 16 PCs
PPM011795 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS008245|
South Asian Ancestry|
165 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.0824 [-0.0817, 0.2421] sex, age, birth date, deprivation index, 16 PCs
PPM011797 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS007809|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.0366 [-0.3344, 0.3978] sex, age, birth date, deprivation index, 16 PCs
PPM011798 PGS002117
(portability-ldpred2_ECG_PP_interval)
PSS008913|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PP interval Partial Correlation (partial-r): 0.0184 [-0.2909, 0.3242] sex, age, birth date, deprivation index, 16 PCs
PPM011799 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS009364|
European Ancestry|
992 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.1997 [0.1385, 0.2593] sex, age, birth date, deprivation index, 16 PCs
PPM011800 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS009138|
European Ancestry|
181 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.2082 [0.0553, 0.3516] sex, age, birth date, deprivation index, 16 PCs
PPM011801 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS008692|
European Ancestry|
217 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.2529 [0.1173, 0.3793] sex, age, birth date, deprivation index, 16 PCs
PPM011802 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS008466|
Greater Middle Eastern Ancestry|
25 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.1708 [-0.8377, 0.9152] sex, age, birth date, deprivation index, 16 PCs
PPM011803 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS008246|
South Asian Ancestry|
159 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.116 [-0.0515, 0.2771] sex, age, birth date, deprivation index, 16 PCs
PPM011804 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS008024|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.1237 [-0.1517, 0.3812] sex, age, birth date, deprivation index, 16 PCs
PPM011805 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS007810|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.1518 [-0.2274, 0.491] sex, age, birth date, deprivation index, 16 PCs
PPM011806 PGS002118
(portability-ldpred2_ECG_PQ_interval)
PSS008914|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: PQ interval Partial Correlation (partial-r): 0.1868 [-0.1282, 0.4676] sex, age, birth date, deprivation index, 16 PCs
PPM011807 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS009367|
European Ancestry|
1,042 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.1358 [0.0751, 0.1954] sex, age, birth date, deprivation index, 16 PCs
PPM011811 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS008249|
South Asian Ancestry|
165 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): -0.0112 [-0.1738, 0.1521] sex, age, birth date, deprivation index, 16 PCs
PPM011813 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS007813|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.0468 [-0.3253, 0.4063] sex, age, birth date, deprivation index, 16 PCs
PPM011808 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS009141|
European Ancestry|
193 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.2209 [0.0742, 0.3583] sex, age, birth date, deprivation index, 16 PCs
PPM011809 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS008695|
European Ancestry|
226 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.197 [0.062, 0.3249] sex, age, birth date, deprivation index, 16 PCs
PPM011810 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS008469|
Greater Middle Eastern Ancestry|
26 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): -0.0945 [-0.8415, 0.7766] sex, age, birth date, deprivation index, 16 PCs
PPM011812 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS008027|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.3302 [0.0658, 0.5513] sex, age, birth date, deprivation index, 16 PCs
PPM011814 PGS002119
(portability-ldpred2_ECG_QT_interval)
PSS008917|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QT interval Partial Correlation (partial-r): 0.071 [-0.2419, 0.3705] sex, age, birth date, deprivation index, 16 PCs
PPM011815 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS009366|
European Ancestry|
1,040 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.2417 [0.1831, 0.2987] sex, age, birth date, deprivation index, 16 PCs
PPM011816 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS009140|
European Ancestry|
191 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.2789 [0.1344, 0.4117] sex, age, birth date, deprivation index, 16 PCs
PPM011817 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS008694|
European Ancestry|
225 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.1159 [-0.0214, 0.249] sex, age, birth date, deprivation index, 16 PCs
PPM011818 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS008468|
Greater Middle Eastern Ancestry|
26 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.3605 [-0.6376, 0.9068] sex, age, birth date, deprivation index, 16 PCs
PPM011819 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS008248|
South Asian Ancestry|
165 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): -0.106 [-0.2645, 0.058] sex, age, birth date, deprivation index, 16 PCs
PPM011820 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS008026|
East Asian Ancestry|
72 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.1801 [-0.0976, 0.4317] sex, age, birth date, deprivation index, 16 PCs
PPM011821 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS007812|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): -0.0667 [-0.4229, 0.3073] sex, age, birth date, deprivation index, 16 PCs
PPM011822 PGS002120
(portability-ldpred2_ECG_QTC_interval)
PSS008916|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QTC interval Partial Correlation (partial-r): 0.2359 [-0.0773, 0.5068] sex, age, birth date, deprivation index, 16 PCs
PPM011824 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS009142|
European Ancestry|
193 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.2615 [0.1169, 0.3953] sex, age, birth date, deprivation index, 16 PCs
PPM011829 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS007814|
African Ancestry|
49 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.0409 [-0.3305, 0.4014] sex, age, birth date, deprivation index, 16 PCs
PPM011823 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS009368|
European Ancestry|
1,042 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.1001 [0.039, 0.1604] sex, age, birth date, deprivation index, 16 PCs
PPM011825 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS008696|
European Ancestry|
226 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.115 [-0.022, 0.2478] sex, age, birth date, deprivation index, 16 PCs
PPM011826 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS008470|
Greater Middle Eastern Ancestry|
26 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.2994 [-0.6766, 0.8938] sex, age, birth date, deprivation index, 16 PCs
PPM011827 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS008250|
South Asian Ancestry|
166 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.0599 [-0.1036, 0.2202] sex, age, birth date, deprivation index, 16 PCs
PPM011828 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS008028|
East Asian Ancestry|
73 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): 0.1681 [-0.107, 0.4194] sex, age, birth date, deprivation index, 16 PCs
PPM011830 PGS002121
(portability-ldpred2_ECG_RR_interval)
PSS008918|
African Ancestry|
61 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: RR interval Partial Correlation (partial-r): -0.0491 [-0.3514, 0.2625] sex, age, birth date, deprivation index, 16 PCs
PPM012175 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS009431|
European Ancestry|
1,702 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.2257 [0.1798, 0.2706] sex, age, birth date, deprivation index, 16 PCs
PPM012176 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS009205|
European Ancestry|
329 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.1797 [0.0695, 0.2855] sex, age, birth date, deprivation index, 16 PCs
PPM012177 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS008759|
European Ancestry|
487 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.2307 [0.143, 0.3149] sex, age, birth date, deprivation index, 16 PCs
PPM012178 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS008533|
Greater Middle Eastern Ancestry|
50 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.2134 [-0.1591, 0.5327] sex, age, birth date, deprivation index, 16 PCs
PPM012179 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS008311|
South Asian Ancestry|
305 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.2354 [0.1226, 0.3422] sex, age, birth date, deprivation index, 16 PCs
PPM012180 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS008088|
East Asian Ancestry|
137 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.0367 [-0.1458, 0.2168] sex, age, birth date, deprivation index, 16 PCs
PPM012181 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS007875|
African Ancestry|
77 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.1029 [-0.162, 0.354] sex, age, birth date, deprivation index, 16 PCs
PPM012182 PGS002166
(portability-ldpred2_log_ECG_QRS_duration)
PSS008979|
African Ancestry|
140 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: QRS duration Partial Correlation (partial-r): 0.0257 [-0.1542, 0.204] sex, age, birth date, deprivation index, 16 PCs

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
PSS008691 225 individuals European Italy (South Europe) UKB
PSS008692 217 individuals European Italy (South Europe) UKB
PSS008693 474 individuals European Italy (South Europe) UKB
PSS008694 225 individuals European Italy (South Europe) UKB
PSS008695 226 individuals European Italy (South Europe) UKB
PSS008696 226 individuals European Italy (South Europe) UKB
PSS009205 329 individuals European Poland (NE Europe) UKB
PSS001175 Cases were individuals with atrial fibrillation. 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.
[
  • 14,812 cases
  • , 294,457 controls
]
European UKB
PSS001176 Cases 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.
[
  • 307 cases
  • , 308,734 controls
]
European UKB
PSS001177 Cases were individuals with congential artery 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.
[
  • 27,072 cases
  • , 282,174 controls
]
European UKB
PSS001178 Cases 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.
[
  • 2,789 cases
  • , 287,463 controls
]
European UKB
PSS001179 Cases 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.
[
  • 633 cases
  • , 308,608 controls
]
European UKB
PSS001180 Cases 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.
[
  • 529 cases
  • , 308,717 controls
]
European UKB
PSS001181 Cases were individuals with non-ischemic cardiomyopathy. 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.
[
  • 1,703 cases
  • , 303,768 controls
]
European UKB
PSS001182 Cases 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.
[
  • 3,975 cases
  • , 305,295 controls
]
European UKB
PSS001183 Cases were individuals with valve 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.
[
  • 6,244 cases
  • , 303,011 controls
]
European UKB
PSS008245 165 individuals South Asian India (South Asia) UKB
PSS008246 159 individuals South Asian India (South Asia) UKB
PSS008247 299 individuals South Asian India (South Asia) UKB
PSS008248 165 individuals South Asian India (South Asia) UKB
PSS008249 165 individuals South Asian India (South Asia) UKB
PSS008250 166 individuals South Asian India (South Asia) UKB
PSS008759 487 individuals European Italy (South Europe) UKB
PSS004806 203 individuals African unspecified UKB
PSS004807 102 individuals East Asian UKB
PSS004808 1,601 individuals European non-white British ancestry UKB
PSS004809 315 individuals South Asian UKB
PSS004810 5,223 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008311 305 individuals South Asian India (South Asia) UKB
PSS007809 49 individuals African American or Afro-Caribbean Carribean UKB
PSS007810 49 individuals African American or Afro-Caribbean Carribean UKB
PSS007811 76 individuals African American or Afro-Caribbean Carribean UKB
PSS007812 49 individuals African American or Afro-Caribbean Carribean UKB
PSS007813 49 individuals African American or Afro-Caribbean Carribean UKB
PSS007814 49 individuals African American or Afro-Caribbean Carribean UKB
PSS009363 1,036 individuals European UK (+ Ireland) UKB
PSS009364 992 individuals European UK (+ Ireland) UKB
PSS009365 1,622 individuals European UK (+ Ireland) UKB
PSS009366 1,040 individuals European UK (+ Ireland) UKB
PSS009367 1,042 individuals European UK (+ Ireland) UKB
PSS009368 1,042 individuals European UK (+ Ireland) UKB
PSS007875 77 individuals African American or Afro-Caribbean Carribean UKB
PSS008913 61 individuals African unspecified Nigeria (West Africa) UKB
PSS008914 61 individuals African unspecified Nigeria (West Africa) UKB
PSS008915 138 individuals African unspecified Nigeria (West Africa) UKB
PSS008916 61 individuals African unspecified Nigeria (West Africa) UKB
PSS000903 Intravenous ajmaline was administered at consecutive boluses of 10 mg/min. A 10-s ECG was recorded ∼1 min after each bolus using a GE Healthcare electrocardiograph. The test was stopped when the target dose of 1 mg/kg rounded up to the next 10 mg was reached, if ventricular arrhythmia occurred, or at the manifestation of a Type I BrS pattern, defined as an ST elevation >2 mm with a coved morphology in any lead among V1–V2 in the 2nd to 4th intercostal spaces.14 295 individuals European Amsterdam
PSS000904 Intravenous ajmaline was administered at consecutive boluses of 10 mg/min. A 10-s ECG was recorded ∼1 min after each bolus using a GE Healthcare electrocardiograph. The test was stopped when the target dose of 1 mg/kg rounded up to the next 10 mg was reached, if ventricular arrhythmia occurred, or at the manifestation of a Type I BrS pattern, defined as an ST elevation >2 mm with a coved morphology in any lead among V1–V2 in the 2nd to 4th intercostal spaces.12 1,257 individuals European Amsterdam
PSS000905 Intravenous ajmaline was administered at consecutive boluses of 10 mg/min. A 10-s ECG was recorded ∼1 min after each bolus using a GE Healthcare electrocardiograph. The test was stopped when the target dose of 1 mg/kg rounded up to the next 10 mg was reached, if ventricular arrhythmia occurred, or at the manifestation of a Type I BrS pattern, defined as an ST elevation >2 mm with a coved morphology in any lead among V1–V2 in the 2nd to 4th intercostal spaces.15 1,185 individuals European Amsterdam
PSS000906 Intravenous ajmaline was administered at consecutive boluses of 10 mg/min. A 10-s ECG was recorded ∼1 min after each bolus using a GE Healthcare electrocardiograph. The test was stopped when the target dose of 1 mg/kg rounded up to the next 10 mg was reached, if ventricular arrhythmia occurred, or at the manifestation of a Type I BrS pattern, defined as an ST elevation >2 mm with a coved morphology in any lead among V1–V2 in the 2nd to 4th intercostal spaces.13 1,193 individuals European Amsterdam
PSS008917 61 individuals African unspecified Nigeria (West Africa) UKB
PSS008918 61 individuals African unspecified Nigeria (West Africa) UKB
PSS009431 1,702 individuals European UK (+ Ireland) UKB
PSS004966 120 individuals African unspecified UKB
PSS004967 68 individuals East Asian UKB
PSS004968 834 individuals European non-white British ancestry UKB
PSS004969 193 individuals South Asian UKB
PSS004970 3,353 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS004971 120 individuals African unspecified UKB
PSS004972 68 individuals East Asian UKB
PSS004973 872 individuals European non-white British ancestry UKB
PSS004974 201 individuals South Asian UKB
PSS004975 3,523 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS004976 120 individuals African unspecified UKB
PSS004977 68 individuals East Asian UKB
PSS004978 872 individuals European non-white British ancestry UKB
PSS004979 201 individuals South Asian UKB
PSS004980 3,523 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008465 25 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008466 25 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008467 49 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008468 26 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008469 26 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008470 26 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008979 140 individuals African unspecified Nigeria (West Africa) UKB
PSS008533 50 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008023 73 individuals East Asian China (East Asia) UKB
PSS008024 73 individuals East Asian China (East Asia) UKB
PSS008025 134 individuals East Asian China (East Asia) UKB
PSS008026 72 individuals East Asian China (East Asia) UKB
PSS008027 73 individuals East Asian China (East Asia) UKB
PSS008028 73 individuals East Asian China (East Asia) UKB
PSS008088 137 individuals East Asian China (East Asia) UKB
PSS000987 Cases are individuals with a clinical diagnosis of long QT syndrome. Of the 1238 cases, 1115 were genotype positive meaning they carried a single rare variant in 1 of the 3 established major LQTS genes (KCNQ1 [LQT1], KCNH2 [LQT2] and SCN5A [LQT3]). 123 cases were genotype negative meaning no rare variant was identified in genes unequivocally associated with nonsyndromic LQTS (KCNQ1, KCNH2, SCN5A, CALM1-3, and TRDN).
[
  • 1,238 cases
  • , 8,219 controls
]
European NR
PSS000988 Cases are individuals with a clinical diagnosis of long QT syndrome. Of the 418 cases, 356 were genotype positive meaning they carried a single rare variant in 1 of the 3 established major LQTS genes (KCNQ1 [LQT1], KCNH2 [LQT2] and SCN5A [LQT3]). 62 cases were genotype negative meaning no rare variant was identified in genes unequivocally associated with nonsyndromic LQTS (KCNQ1, KCNH2, SCN5A, CALM1-3, and TRDN).
[
  • 418 cases
  • , 1,671 controls
]
East Asian
(Japanese)
NR
PSS000989 Cases are individuals with a clinical diagnosis of long QT syndrome. Of the 1238 cases, 1115 were genotype positive meaning they carried a single rare variant in 1 of the 3 established major LQTS genes (KCNQ1 [LQT1], KCNH2 [LQT2] and SCN5A [LQT3]). 123 cases were genotype negative meaning no rare variant was identified in genes unequivocally associated with nonsyndromic LQTS (KCNQ1, KCNH2, SCN5A, CALM1-3, and TRDN).
[
  • 1,238 cases
  • , 8,219 controls
]
European NR
PSS000989 Cases are individuals with a clinical diagnosis of long QT syndrome. Of the 418 cases, 356 were genotype positive meaning they carried a single rare variant in 1 of the 3 established major LQTS genes (KCNQ1 [LQT1], KCNH2 [LQT2] and SCN5A [LQT3]). 62 cases were genotype negative meaning no rare variant was identified in genes unequivocally associated with nonsyndromic LQTS (KCNQ1, KCNH2, SCN5A, CALM1-3, and TRDN).
[
  • 418 cases
  • , 1,671 controls
]
East Asian
(Japanese)
NR
PSS009137 191 individuals European Poland (NE Europe) UKB
PSS009139 310 individuals European Poland (NE Europe) UKB
PSS009138 181 individuals European Poland (NE Europe) UKB
PSS009141 193 individuals European Poland (NE Europe) UKB
PSS009140 191 individuals European Poland (NE Europe) UKB
PSS009142 193 individuals European Poland (NE Europe) UKB