Predicted Trait | |
Reported Trait | Creatinine [umol/L] |
Mapped Trait(s) | creatinine measurement (EFO_0004518) |
Score Construction | |
PGS Name | snpnet.Creatinine |
Development Method | |
Name | snpnet |
Parameters | 1,080,968 variants as input (directly genotyped variants, imputed HLA allelotypes, and CNVs) |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 21,027 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000128 |
Citation (link to publication) | Sinnott-Armstrong N et al. Nat Genet (2021) |
Ancestry Distribution | |
Score Development/Training | European: 100% 255,256 individuals (100%) |
PGS Evaluation | European: 45.5% African: 18.2% East Asian: 18.2% South Asian: 18.2% 11 Sample Sets |
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 |
---|---|---|---|---|---|---|---|---|
Europe PMC: 10.1038/s41588-020-00757-z |
223,327 individuals | European (British) |
UKB | — | — | — | — | Training |
Europe PMC: 10.1038/s41588-020-00757-z |
31,929 individuals | European (British) |
UKB | — | — | — | — | Validation |
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 |
---|---|---|---|---|---|---|---|---|
PPM001406 | PSS000667| African Ancestry| 6,016 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Creatinine [umol/L] | — | — | R²: 0.37051 Spearman's ρ: 0.146 |
Age, sex, PCs(1-40) | — |
PPM001441 | PSS000668| East Asian Ancestry| 1,081 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Creatinine [umol/L] | — | — | R²: 0.44314 Spearman's ρ: 0.229 |
Age, sex, PCs(1-40) | — |
PPM001476 | PSS000674| European Ancestry| 23,576 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Creatinine [umol/L] | — | — | R²: 0.3939 Spearman's ρ: 0.325 |
Age, sex, PCs(1-40) | — |
PPM001511 | PSS000675| South Asian Ancestry| 7,339 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Creatinine [umol/L] | — | — | R²: 0.40587 Spearman's ρ: 0.283 |
Age, sex, PCs(1-40) | — |
PPM001546 | PSS000676| European Ancestry| 63,758 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Creatinine [umol/L] | — | — | R²: 0.41565 Spearman's ρ: 0.337 |
Age, sex, PCs(1-40) | — |
PPM001579 | PSS000800| European Ancestry| 2,129 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Creatinine [umol/L] | — | — | Spearman's ρ: 0.24 | Age, sex | — |
PPM007315 | PSS007131| African Ancestry| 6,097 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Creatinine | — | — | R²: 0.1805 [0.16358, 0.19743] Incremental R2 (full-covars): 0.00023 PGS R2 (no covariates): 0.0048 [0.00145, 0.00815] |
age, sex, UKB array type, Genotype PCs | — |
PPM007316 | PSS007132| East Asian Ancestry| 1,615 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Creatinine | — | — | R²: 0.30903 [0.27263, 0.34543] Incremental R2 (full-covars): 0.0006 PGS R2 (no covariates): 0.01099 [0.00116, 0.02081] |
age, sex, UKB array type, Genotype PCs | — |
PPM007317 | PSS007133| European Ancestry| 23,762 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Creatinine | — | — | R²: 0.23065 [0.22147, 0.23982] Incremental R2 (full-covars): 0.00126 PGS R2 (no covariates): 0.04345 [0.0385, 0.0484] |
age, sex, UKB array type, Genotype PCs | — |
PPM007318 | PSS007134| South Asian Ancestry| 7,427 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Creatinine | — | — | R²: 0.2107 [0.19466, 0.22675] Incremental R2 (full-covars): 0.00063 PGS R2 (no covariates): 0.02244 [0.01595, 0.02892] |
age, sex, UKB array type, Genotype PCs | — |
PPM007319 | PSS007135| European Ancestry| 64,433 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Creatinine | — | — | R²: 0.23859 [0.23298, 0.24421] Incremental R2 (full-covars): 0.00127 PGS R2 (no covariates): 0.04554 [0.04246, 0.04861] |
age, sex, UKB array type, Genotype 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 |
---|---|---|---|---|---|---|---|---|
PSS007132 | — | — | 1,615 individuals | — | East Asian | — | UKB | — |
PSS007133 | — | — | 23,762 individuals | — | European | non-white British ancestry | UKB | — |
PSS007134 | — | — | 7,427 individuals | — | South Asian | — | UKB | — |
PSS007135 | — | — | 64,433 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS000667 | — | — | 6,016 individuals | — | African unspecified | — | UKB | — |
PSS000668 | — | — | 1,081 individuals | — | East Asian | — | UKB | — |
PSS000800 | — | — | 2,129 individuals | — | European | Participants self-identifying as white | MESA | — |
PSS000674 | — | — | 23,576 individuals | — | European | Non-British White | UKB | — |
PSS000675 | — | — | 7,339 individuals | — | South Asian | — | UKB | — |
PSS000676 | — | — | 63,758 individuals | — | European (British) |
— | UKB | — |
PSS007131 | — | — | 6,097 individuals | — | African unspecified | — | UKB | — |