| Predicted Trait | |
| Reported Trait | Hypertension |
| Mapped Trait(s) | hypertension (EFO_0000537) |
| Additional Trait Information | circulatory system |
| Score Construction | |
| PGS Name | portability-PLR_401 |
| Development Method | |
| Name | Penalized regression (bigstatsr) |
| Parameters | HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 52,487 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM009594 | PSS009310| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1882 [0.1748, 0.2016] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009595 | PSS009084| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1633 [0.1334, 0.1929] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009596 | PSS008638| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.157 [0.1335, 0.1804] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009598 | PSS008192| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1567 [0.1326, 0.1807] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009599 | PSS007974| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1165 [0.0706, 0.162] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009600 | PSS007757| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1101 [0.071, 0.149] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009601 | PSS008861| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.0682 [0.0369, 0.0993] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009597 | PSS008412| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1797 [0.1239, 0.2344] | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS008412 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS007974 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009310 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007757 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009084 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008861 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008638 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008192 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |