Predicted Trait | |
Reported Trait | QT interval |
Mapped Trait(s) | QT interval (EFO_0004682) |
Additional Trait Information | physical measures |
Score Construction | |
PGS Name | portability-PLR_ECG_QT_interval |
Development Method | |
Name | Penalized regression (bigstatsr) |
Parameters | HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 2,300 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000263 |
Citation (link to publication) | Privé F et al. Am J Hum Genet (2022) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | 391,124 individuals | European | UKB | — | — | — | UK (+ Ireland) | — |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
---|---|---|---|---|---|---|---|---|
PPM010124 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS007813 | — | — | 49 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS008469 | — | — | 26 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009141 | — | — | 193 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008695 | — | — | 226 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008917 | — | — | 61 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS008249 | — | — | 165 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009367 | — | — | 1,042 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008027 | — | — | 73 individuals | — | East Asian | China (East Asia) | UKB | — |