Predicted Trait | |
Reported Trait | Platelet distribution width |
Mapped Trait(s) | platelet component distribution width (EFO_0007984) |
Additional Trait Information | biological measures |
Score Construction | |
PGS Name | portability-PLR_log_platelet_width |
Development Method | |
Name | Penalized regression (bigstatsr) |
Parameters | HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 46,157 |
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 |
---|---|---|---|---|---|---|---|---|
PPM010652 | PSS009236| European Ancestry| 4,002 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.4717 [0.4471, 0.4955] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010653 | PSS008790| European Ancestry| 6,437 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.4481 [0.4283, 0.4674] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010654 | PSS008564| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.4507 [0.403, 0.4959] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010655 | PSS008342| South Asian Ancestry| 6,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.4365 [0.4158, 0.4566] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010656 | PSS008119| East Asian Ancestry| 1,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.3413 [0.2991, 0.3821] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010657 | PSS007906| African Ancestry| 2,343 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.227 [0.188, 0.2652] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010658 | PSS009010| African Ancestry| 3,711 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.2247 [0.1938, 0.2551] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010651 | PSS009462| European Ancestry| 19,423 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Platelet distribution width | — | — | Partial Correlation (partial-r): 0.4623 [0.4511, 0.4733] | 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 |
---|---|---|---|---|---|---|---|---|
PSS009010 | — | — | 3,711 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS009236 | — | — | 4,002 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008564 | — | — | 1,153 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS008342 | — | — | 6,078 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS008790 | — | — | 6,437 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008119 | — | — | 1,762 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS009462 | — | — | 19,423 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS007906 | — | — | 2,343 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |