| Predicted Trait | |
| Reported Trait | Estimated glomerular filtration rate (Creatine) |
| Mapped Trait(s) | |
| Additional Trait Information | eGFRcrea; Quantitative |
| Score Construction | |
| PGS Name | ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PRSCS_MGI_20211120 |
| Development Method | |
| Name | PRS-CS |
| Parameters | PRS-CS (auto)_traiteGFR_prefixeGFRcrea_overall_IV_2GC |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 932,548 |
| 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) |
|---|---|---|---|
GWAS Catalog: GCST003372 |
133,814 individuals | European | NR |
| 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 |
|---|---|---|---|---|---|---|---|---|
| — | 19,026 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 |
|---|---|---|---|---|---|---|---|---|
| PPM015723 | PSS009999| European Ancestry| 20,396 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Creatine | β: -0.034 (0.00153) | — | R²: 0.0183 | 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 | — |