| Predicted Trait | |
| Reported Trait | Urinary calculus |
| Mapped Trait(s) | urolithiasis (MONDO_0024647) |
| Additional Trait Information | genitourinary |
| Score Construction | |
| PGS Name | portability-PLR_594 |
| Development Method | |
| Name | Penalized regression (bigstatsr) |
| Parameters | HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 5,599 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM009801 | PSS009339| European Ancestry| 19,913 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.0323 [0.0184, 0.0462] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009802 | PSS009113| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.0291 [-0.0015, 0.0597] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009803 | PSS008667| European Ancestry| 6,632 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.0503 [0.0263, 0.0743] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009805 | PSS008221| South Asian Ancestry| 6,306 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.033 [0.0082, 0.0576] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009806 | PSS008002| East Asian Ancestry| 1,803 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.0058 [-0.0406, 0.0522] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009807 | PSS007786| African Ancestry| 2,475 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.005 [-0.0345, 0.0446] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009808 | PSS008890| African Ancestry| 3,912 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.0052 [-0.0262, 0.0366] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009804 | PSS008441| Greater Middle Eastern Ancestry| 1,192 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Urinary calculus | — | — | Partial Correlation (partial-r): 0.0222 [-0.0352, 0.0793] | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS007786 | — | — | 2,475 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009339 | — | — | 19,913 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009113 | — | — | 4,121 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008890 | — | — | 3,912 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008667 | — | — | 6,632 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008441 | — | — | 1,192 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008221 | — | — | 6,306 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008002 | — | — | 1,803 individuals | — | East Asian | China (East Asia) | UKB | — |