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
|
Mapped terms |
3 mapped terms
|
Child trait(s) | 6 child traits |
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. PLoS Genet (2022) |
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. PLoS Genet (2022) |
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. PLoS Genet (2022) |
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. PLoS Genet (2022) |
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 | PP interval | 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 | PP interval | 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 |
PGS002276 (QTc_PRS-CS) |
PGP000304 | Nauffal V et al. Circulation (2022) |
QTc duration | QT interval | 1,110,494 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002276/ScoringFiles/PGS002276.txt.gz | |
PGS003499 (cont-decay-ECG_PQ_interval) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
PQ interval | PR interval | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003499/ScoringFiles/PGS003499.txt.gz |
PGS003500 (cont-decay-ECG_QT_interval) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
QT interval | QT interval | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003500/ScoringFiles/PGS003500.txt.gz |
PGS003501 (cont-decay-ECG_QTC_interval) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
QTc interval | QT interval | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003501/ScoringFiles/PGS003501.txt.gz |
PGS003529 (cont-decay-log_ECG_QRS_duration) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
QRS duration | QRS duration | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003529/ScoringFiles/PGS003529.txt.gz |
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 | — |
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) | — |
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) | — |
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 | β: 0.105 (0.019) OR: 1.11 |
— | — | 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. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 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. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
PPM012946 | PGS002276 (QTc_PRS-CS) |
PSS009628| Multi-ancestry (including European)| 26,976 individuals |
PGP000304 | Nauffal V et al. Circulation (2022) |
Reported Trait: QTc | — | — | R²: 0.087 | age, sex, beta blocker use, calcium channel blocker use, heart failure, myocardial infarction, first 12 principal components of genetic ancestry (PC1-12) | PRS performance was overall similar across the individual genetic ancestries in TOPMed. (European R²: 0.074; African R²:0.077, Admixed American R²:0.148; Amish R²:0.197; Asian R²:0.245; Undetermined Genetic Ancestry R²:0.106) |
PPM017427 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010860| European Ancestry| 995 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
PPM017511 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010776| European Ancestry| 180 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
PPM017595 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010608| European Ancestry| 213 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
PPM017679 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010524| Greater Middle Eastern Ancestry| 25 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.32 | sex, age, deprivation index, PC1-16 | — |
PPM017763 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010188| European Ancestry| 103 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
PPM017847 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010440| South Asian Ancestry| 159 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
PPM017931 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010356| East Asian Ancestry| 73 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
PPM018015 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010272| African Ancestry| 49 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
PPM018099 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010692| African Ancestry| 61 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
PPM017428 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010861| European Ancestry| 1,040 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
PPM017512 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010777| European Ancestry| 192 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
PPM017596 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010609| European Ancestry| 220 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
PPM017680 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010525| Greater Middle Eastern Ancestry| 26 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
PPM017764 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010189| European Ancestry| 107 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
PPM017848 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010441| South Asian Ancestry| 165 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
PPM017932 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010357| East Asian Ancestry| 73 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
PPM018016 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010273| African Ancestry| 49 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
PPM018100 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010693| African Ancestry| 61 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
PPM017765 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010190| European Ancestry| 107 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
PPM017429 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010862| European Ancestry| 1,040 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
PPM017513 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010778| European Ancestry| 190 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
PPM017597 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010610| European Ancestry| 219 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
PPM017681 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010526| Greater Middle Eastern Ancestry| 26 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
PPM017849 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010442| South Asian Ancestry| 165 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
PPM017933 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010358| East Asian Ancestry| 72 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
PPM018017 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010274| African Ancestry| 49 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
PPM018101 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010694| African Ancestry| 61 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
PPM017457 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010893| European Ancestry| 1,567 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
PPM017541 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010809| European Ancestry| 299 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
PPM017625 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010641| European Ancestry| 400 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
PPM017709 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010557| Greater Middle Eastern Ancestry| 42 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
PPM017793 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010221| European Ancestry| 186 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
PPM017961 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010389| East Asian Ancestry| 115 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
PPM018129 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010725| African Ancestry| 116 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
PPM017877 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010473| South Asian Ancestry| 253 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
PPM018045 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010305| African Ancestry| 67 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS010692 | — | — | 61 individuals, 64.0 % Male samples |
Mean = 49.5 years Sd = 6.5 years |
African unspecified | Nigerian | UKB | — |
PSS010693 | — | — | 61 individuals, 64.0 % Male samples |
Mean = 49.5 years Sd = 6.5 years |
African unspecified | Nigerian | UKB | — |
PSS010694 | — | — | 61 individuals, 64.0 % Male samples |
Mean = 49.5 years Sd = 6.5 years |
African unspecified | Nigerian | UKB | — |
PSS010188 | — | — | 103 individuals, 55.0 % Male samples |
Mean = 56.0 years Sd = 6.1 years |
European | Ashkenazi | UKB | — |
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 | — |
PSS010189 | — | — | 107 individuals, 54.0 % Male samples |
Mean = 56.2 years Sd = 6.4 years |
European | Ashkenazi | UKB | — |
PSS010190 | — | — | 107 individuals, 54.0 % Male samples |
Mean = 56.2 years Sd = 6.4 years |
European | Ashkenazi | UKB | — |
PSS010725 | — | — | 116 individuals, 55.0 % Male samples |
Mean = 49.4 years Sd = 6.7 years |
African unspecified | Nigerian | UKB | — |
PSS010221 | — | — | 186 individuals, 55.0 % Male samples |
Mean = 56.5 years Sd = 6.4 years |
European | Ashkenazi | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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 | — |
PSS010776 | — | — | 180 individuals, 41.0 % Male samples |
Mean = 53.2 years Sd = 6.5 years |
European | Polish | UKB | — |
PSS010777 | — | — | 192 individuals, 42.0 % Male samples |
Mean = 53.2 years Sd = 6.4 years |
European | Polish | UKB | — |
PSS010778 | — | — | 190 individuals, 42.0 % Male samples |
Mean = 53.2 years Sd = 6.4 years |
European | Polish | UKB | — |
PSS010272 | — | — | 49 individuals, 31.0 % Male samples |
Mean = 48.8 years Sd = 6.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
PSS010273 | — | — | 49 individuals, 31.0 % Male samples |
Mean = 48.8 years Sd = 6.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
PSS010274 | — | — | 49 individuals, 31.0 % Male samples |
Mean = 48.8 years Sd = 6.4 years |
African American or Afro-Caribbean | Caribbean | 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) |
PSS009628 | Bazzet formula QT-corrected interval calculated from automated QT interval obtained from 12-lead electrocardiograms in TOPMed | — | 26,976 individuals, 65.4 % Male samples |
Mean = 59.8 years Sd = 12.5 years |
European, African unspecified, Asian unspecified, Other admixed ancestry, Not reported | Combined analysis of European (59.6%), African (18.1%), Asian (2.9%), Admixed American (2.2%), Amish (3.7%) and Undetermined (13.5%) genetic ancestries | 9 cohorts
|
— |
PSS010809 | — | — | 299 individuals, 38.0 % Male samples |
Mean = 52.9 years Sd = 6.6 years |
European | Polish | UKB | — |
PSS010305 | — | — | 67 individuals, 30.0 % Male samples |
Mean = 49.8 years Sd = 6.5 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
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 | — |
PSS010860 | — | — | 995 individuals, 51.0 % Male samples |
Mean = 55.4 years Sd = 7.5 years |
European | white British | 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 | — |
PSS010861 | — | — | 1,040 individuals, 51.0 % Male samples |
Mean = 55.5 years Sd = 7.5 years |
European | white British | UKB | — |
PSS010356 | — | — | 73 individuals, 34.0 % Male samples |
Mean = 50.3 years Sd = 7.1 years |
East Asian | Chinese | UKB | — |
PSS010357 | — | — | 73 individuals, 34.0 % Male samples |
Mean = 50.3 years Sd = 7.1 years |
East Asian | Chinese | UKB | — |
PSS010862 | — | — | 1,040 individuals, 51.0 % Male samples |
Mean = 55.5 years Sd = 7.5 years |
European | white British | UKB | — |
PSS010358 | — | — | 72 individuals, 35.0 % Male samples |
Mean = 50.2 years Sd = 7.1 years |
East Asian | Chinese | UKB | — |
PSS010893 | — | — | 1,567 individuals, 50.0 % Male samples |
Mean = 55.5 years Sd = 7.4 years |
European | white British | UKB | — |
PSS010389 | — | — | 115 individuals, 35.0 % Male samples |
Mean = 51.1 years Sd = 6.9 years |
East Asian | Chinese | 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) |
PSS010473 | — | — | 253 individuals, 66.0 % Male samples |
Mean = 51.4 years Sd = 7.9 years |
South Asian | Indian | UKB | — |
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 | — |
PSS010524 | — | — | 25 individuals, 64.0 % Male samples |
Mean = 52.6 years Sd = 6.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
PSS010525 | — | — | 26 individuals, 65.0 % Male samples |
Mean = 52.8 years Sd = 6.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
PSS010526 | — | — | 26 individuals, 65.0 % Male samples |
Mean = 52.8 years Sd = 6.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | 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 | — |
PSS010557 | — | — | 42 individuals, 62.0 % Male samples |
Mean = 53.8 years Sd = 6.7 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
PSS010608 | — | — | 213 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
PSS010609 | — | — | 220 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
PSS008088 | — | — | 137 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS010610 | — | — | 219 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
PSS010440 | — | — | 159 individuals, 65.0 % Male samples |
Mean = 51.1 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
PSS010441 | — | — | 165 individuals, 66.0 % Male samples |
Mean = 51.2 years Sd = 8.1 years |
South Asian | Indian | UKB | — |
PSS010442 | — | — | 165 individuals, 66.0 % Male samples |
Mean = 51.1 years Sd = 8.1 years |
South Asian | Indian | 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). | — | [
|
— | 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). | — | [
|
— | 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). | — | [
|
— | 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). | — | [
|
— | 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 | — |
PSS010641 | — | — | 400 individuals, 47.0 % Male samples |
Mean = 53.6 years Sd = 7.5 years |
European | Italian | UKB | — |