Trait: QT interval

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004682
Description The QT interval is a measure of the time between the start of the Q wave and the end of the T wave in the heart's electrical cycle
Trait category
Cardiovascular measurement
Mapped terms 2 mapped terms
  • MedDRA:10037701
  • NCIt:C83501

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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
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
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
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
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
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

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
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.
PPM005305 PGS001526
(GBE_INI22331)
PSS004971|
African Ancestry|
120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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. PLoS Genet (2022)
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
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
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
PPM012946 PGS002276
(QTc_PRS-CS)
PSS009628|
Multi-ancestry (including European)|
26,976 individuals
PGP000304 |
Nauffal V et al. Circulation (2022)
Reported Trait: QTc : 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)

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
PSS008916 61 individuals African unspecified Nigeria (West Africa) UKB
PSS008917 61 individuals African unspecified Nigeria (West Africa) UKB
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
  • ARIC
  • ,BioMe
  • ,CFS
  • ,CHS
  • ,FHS
  • ,JHS
  • ,MESA
  • ,OOA
  • ,WHI
PSS008026 72 individuals East Asian China (East Asia) UKB
PSS008027 73 individuals East Asian China (East Asia) UKB
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)
PSS008695 226 individuals European Italy (South Europe) UKB
PSS008694 225 individuals European Italy (South Europe) UKB
PSS007812 49 individuals African American or Afro-Caribbean Carribean UKB
PSS007813 49 individuals African American or Afro-Caribbean Carribean 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
PSS009366 1,040 individuals European UK (+ Ireland) UKB
PSS009367 1,042 individuals European UK (+ Ireland) 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
PSS009140 191 individuals European Poland (NE Europe) UKB
PSS009141 193 individuals European Poland (NE Europe) UKB
PSS008248 165 individuals South Asian India (South Asia) UKB
PSS008249 165 individuals South Asian India (South Asia) UKB