| Trait Information | |
| Identifier | OBA_2050015 |
| Description | The volume of a kidney. [AUTO: patterns/patterns/entity_attribute] | Trait category |
Other measurement
|
| Synonym | volume of kidney |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS019479 (TPMI_594.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Calculus of kidney | kidney volume | 2,076 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019479/ScoringFiles/PGS019479.txt.gz | |
| PGS019480 (TPMI_594.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Calculus of kidney | kidney volume | 370,680 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019480/ScoringFiles/PGS019480.txt.gz | |
| PGS019481 (TPMI_594.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Calculus of kidney | kidney volume | 55,216 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019481/ScoringFiles/PGS019481.txt.gz | |
| PGS019482 (TPMI_594.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Calculus of kidney | kidney volume | 983,776 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019482/ScoringFiles/PGS019482.txt.gz | |
| PGS019483 (TPMI_594.1_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Calculus of kidney | kidney volume | 1,041,148 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019483/ScoringFiles/PGS019483.txt.gz | |
| PGS019484 (TPMI_594.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Calculus of kidney | kidney volume | 993,811 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019484/ScoringFiles/PGS019484.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM037661 | PGS019479 (TPMI_594.1_Lassosum2) |
PSS013376| East Asian Ancestry| 18,882 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Calculus of kidney | — | AUROC: 0.67037 | R²: 0.06471 | sex, age, array, PCs 1-10 | — |
| PPM037662 | PGS019480 (TPMI_594.1_LDpred2) |
PSS013375| East Asian Ancestry| 18,882 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Calculus of kidney | — | AUROC: 0.67594 | R²: 0.07087 | sex, age, array, PCs 1-10 | — |
| PPM037663 | PGS019481 (TPMI_594.1_MegaPRS) |
PSS013377| East Asian Ancestry| 18,882 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Calculus of kidney | — | AUROC: 0.67051 | R²: 0.06469 | sex, age, array, PCs 1-10 | — |
| PPM037664 | PGS019482 (TPMI_594.1_PRS-CS) |
PSS013378| East Asian Ancestry| 18,882 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Calculus of kidney | — | AUROC: 0.67168 | R²: 0.06754 | sex, age, array, PCs 1-10 | — |
| PPM037665 | PGS019483 (TPMI_594.1_PRSmix+) |
PSS013379| East Asian Ancestry| 18,882 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Calculus of kidney | — | AUROC: 0.68199 | R²: 0.07495 | sex, age, array, PCs 1-10 | — |
| PPM037666 | PGS019484 (TPMI_594.1_SBayesR) |
PSS013380| East Asian Ancestry| 18,882 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Calculus of kidney | — | AUROC: 0.671 | R²: 0.06612 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS013375 | 592.0,N20.0, N20.2 | — | [ ,
45.34 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013376 | 592.0,N20.0, N20.2 | — | [ ,
45.34 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013377 | 592.0,N20.0, N20.2 | — | [ ,
45.34 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013378 | 592.0,N20.0, N20.2 | — | [ ,
45.34 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013379 | 592.0,N20.0, N20.2 | — | [ ,
45.34 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013380 | 592.0,N20.0, N20.2 | — | [ ,
45.34 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |