| Predicted Trait | |
| Reported Trait | Pulmonary heart disease |
| Mapped Trait(s) | cor pulmonale (MONDO_0004596) |
| Additional Trait Information | circulatory system |
| Score Construction | |
| PGS Name | portability-PLR_415 |
| Development Method | |
| Name | Penalized regression (bigstatsr) |
| Parameters | HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 330 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM009610 | PSS009312| European Ancestry| 19,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): 0.0355 [0.0216, 0.0494] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009611 | PSS009086| European Ancestry| 4,113 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): 0.0647 [0.0341, 0.0952] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009612 | PSS008640| European Ancestry| 6,617 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): 0.038 [0.0139, 0.0621] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009613 | PSS008414| Greater Middle Eastern Ancestry| 1,190 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): -0.0071 [-0.0643, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009614 | PSS008194| South Asian Ancestry| 6,283 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): 0.03 [0.0052, 0.0547] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009615 | PSS007976| East Asian Ancestry| 1,805 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): 0.0109 [-0.0355, 0.0572] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009616 | PSS007759| African Ancestry| 2,457 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): 0.0171 [-0.0226, 0.0568] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009617 | PSS008863| African Ancestry| 3,858 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulmonary heart disease | — | — | Partial Correlation (partial-r): 0.0366 [0.005, 0.0682] | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS007976 | — | — | 1,805 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008414 | — | — | 1,190 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS007759 | — | — | 2,457 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009312 | — | — | 19,808 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009086 | — | — | 4,113 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008863 | — | — | 3,858 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008640 | — | — | 6,617 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008194 | — | — | 6,283 individuals | — | South Asian | India (South Asia) | UKB | — |