| 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
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
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 | |
| 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 |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| 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. |
| 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 | — |
| 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 | — | — | 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) |
| 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 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| 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 | — |
| 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 | — |
| 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
|
— |
| PSS008026 | — | — | 72 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008027 | — | — | 73 individuals | — | East Asian | China (East Asia) | 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 | — |
| 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 | — |
| 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 | — |
| PSS010861 | — | — | 1,040 individuals, 51.0 % Male samples |
Mean = 55.5 years Sd = 7.5 years |
European | white British | 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 | — |
| PSS010609 | — | — | 220 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
| PSS010862 | — | — | 1,040 individuals, 51.0 % Male samples |
Mean = 55.5 years Sd = 7.5 years |
European | white British | UKB | — |
| PSS010610 | — | — | 219 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
| PSS010357 | — | — | 73 individuals, 34.0 % Male samples |
Mean = 50.3 years Sd = 7.1 years |
East Asian | Chinese | UKB | — |
| PSS010358 | — | — | 72 individuals, 35.0 % Male samples |
Mean = 50.2 years Sd = 7.1 years |
East Asian | Chinese | 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 | — |
| PSS010189 | — | — | 107 individuals, 54.0 % Male samples |
Mean = 56.2 years Sd = 6.4 years |
European | Ashkenazi | UKB | — |
| PSS009140 | — | — | 191 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009141 | — | — | 193 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010190 | — | — | 107 individuals, 54.0 % Male samples |
Mean = 56.2 years Sd = 6.4 years |
European | Ashkenazi | UKB | — |
| PSS008248 | — | — | 165 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008249 | — | — | 165 individuals | — | South Asian | India (South Asia) | 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 | — |
| 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 | — |