Predicted Trait | |
Reported Trait | Creatine |
Mapped Trait(s) | creatine measurement (EFO_0010472) |
Additional Trait Information | Creatinine (enzymatic) in urine; Quantitative |
Score Construction | |
PGS Name | ExPRSweb_Creatine_30510-irnt_PT_MGI_20211120 |
Development Method | |
Name | Pruning and Thresholding (P+T) |
Parameters | LD Clumping (using Plink to calculate LD, MAF >= 1%, r^2 <= 0.1) & P-value threshold <=5.00e-03 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 11,173 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000393 |
Citation (link to publication) | Ma Y et al. Am J Hum Genet (2022) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
350,812 individuals | European | UKB |
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 |
---|---|---|---|---|---|---|---|---|
— | 20,396 individuals | European | MGI | CREATININE LEVEL (LOINC: 2160-0); Quantitative | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM015681 | PSS009999| European Ancestry| 20,396 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Creatine | β: 0.00544 (0.0014) | — | R²: 0.00052 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009999 | CREATININE LEVEL (LOINC: 2160-0); Quantitative | — | 20,396 individuals | — | European | — | MGI | — |