Predicted Trait | |
Reported Trait | Reticulocyte count |
Mapped Trait(s) | reticulocyte count (EFO_0007986) |
Additional Trait Information | biological measures |
Score Construction | |
PGS Name | portability-PLR_log_reticulocyte |
Development Method | |
Name | Penalized regression (bigstatsr) |
Parameters | HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 75,033 |
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 |
---|---|---|---|---|---|---|---|---|
PPM010683 | PSS009465| European Ancestry| 19,117 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.3967 [0.3847, 0.4086] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010684 | PSS009239| European Ancestry| 3,923 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.3757 [0.3485, 0.4024] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010685 | PSS008793| European Ancestry| 6,297 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.3753 [0.3538, 0.3963] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010686 | PSS008567| Greater Middle Eastern Ancestry| 1,127 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.3116 [0.2574, 0.3638] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010688 | PSS008122| East Asian Ancestry| 1,722 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.2708 [0.2261, 0.3142] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010690 | PSS009013| African Ancestry| 3,602 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.1736 [0.1416, 0.2052] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010687 | PSS008345| South Asian Ancestry| 5,935 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.2981 [0.2747, 0.3211] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010689 | PSS007909| African Ancestry| 2,294 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Reticulocyte count | — | — | Partial Correlation (partial-r): 0.1931 [0.1532, 0.2323] | 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 |
---|---|---|---|---|---|---|---|---|
PSS007909 | — | — | 2,294 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS009013 | — | — | 3,602 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS009239 | — | — | 3,923 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008567 | — | — | 1,127 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009465 | — | — | 19,117 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008122 | — | — | 1,722 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS008793 | — | — | 6,297 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008345 | — | — | 5,935 individuals | — | South Asian | India (South Asia) | UKB | — |