Predicted Trait | |
Reported Trait | Creatinine |
Mapped Trait(s) | creatinine measurement (EFO_0004518) |
Additional Trait Information | biological measures |
Score Construction | |
PGS Name | portability-PLR_log_creatinine |
Development Method | |
Name | Penalized regression (bigstatsr) |
Parameters | HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 76,800 |
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 |
---|---|---|---|---|---|---|---|---|
PPM010441 | PSS007883| African Ancestry| 2,345 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.1379 [0.0978, 0.1776] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010437 | PSS008767| European Ancestry| 6,322 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.3344 [0.3123, 0.3562] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010435 | PSS009439| European Ancestry| 18,993 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.3568 [0.3443, 0.3691] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010436 | PSS009213| European Ancestry| 3,950 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.3499 [0.3221, 0.377] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010438 | PSS008541| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.3425 [0.2894, 0.3936] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010439 | PSS008319| South Asian Ancestry| 6,003 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.2881 [0.2647, 0.3112] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010440 | PSS008096| East Asian Ancestry| 1,716 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.2465 [0.2013, 0.2907] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010442 | PSS008987| African Ancestry| 3,655 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Creatinine | — | — | Partial Correlation (partial-r): 0.1382 [0.1062, 0.17] | 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 |
---|---|---|---|---|---|---|---|---|
PSS007883 | — | — | 2,345 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS008541 | — | — | 1,124 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS008319 | — | — | 6,003 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS008767 | — | — | 6,322 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008987 | — | — | 3,655 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS009213 | — | — | 3,950 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS009439 | — | — | 18,993 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008096 | — | — | 1,716 individuals | — | East Asian | China (East Asia) | UKB | — |