| Trait Information | |
| Identifier | MONDO_0001166 |
| Description | Inflammation of renal tissue. [NCIT: P378] | Trait category |
Other trait
|
| Synonyms |
2 synonyms
|
| Child trait(s) | IgA glomerulonephritis |
| 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) |
|---|---|---|---|---|---|---|
| PGS005282 (GRS15_nephropathy) |
PGP000756 | Xu L et al. Phenomics (2024) |
IgA nephropathy | IgA glomerulonephritis | 15 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005282/ScoringFiles/PGS005282.txt.gz |
| PGS005283 (GRS21_nephropathy) |
PGP000756 | Xu L et al. Phenomics (2024) |
IgA nephropathy | IgA glomerulonephritis | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005283/ScoringFiles/PGS005283.txt.gz |
| PGS005284 (GRS55_nephropathy) |
PGP000756 | Xu L et al. Phenomics (2024) |
IgA nephropathy | IgA glomerulonephritis | 55 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005284/ScoringFiles/PGS005284.txt.gz |
| PGS019405 (TPMI_580_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis nephrosis renal sclerosis | nephritis | 114,961 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019405/ScoringFiles/PGS019405.txt.gz | |
| PGS019406 (TPMI_580_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis nephrosis renal sclerosis | nephritis | 394,908 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019406/ScoringFiles/PGS019406.txt.gz | |
| PGS019407 (TPMI_580_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis nephrosis renal sclerosis | nephritis | 41,521 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019407/ScoringFiles/PGS019407.txt.gz | |
| PGS019408 (TPMI_580_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis nephrosis renal sclerosis | nephritis | 983,816 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019408/ScoringFiles/PGS019408.txt.gz | |
| PGS019409 (TPMI_580_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis nephrosis renal sclerosis | nephritis | 976,759 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019409/ScoringFiles/PGS019409.txt.gz | |
| PGS019415 (TPMI_580.31_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy in diseases classified elsewhere | Nephropathy, nephritis |
222,116 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019415/ScoringFiles/PGS019415.txt.gz | |
| PGS019416 (TPMI_580.31_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy in diseases classified elsewhere | Nephropathy, nephritis |
939,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019416/ScoringFiles/PGS019416.txt.gz | |
| PGS019417 (TPMI_580.31_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy in diseases classified elsewhere | Nephropathy, nephritis |
54,233 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019417/ScoringFiles/PGS019417.txt.gz | |
| PGS019418 (TPMI_580.31_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy in diseases classified elsewhere | Nephropathy, nephritis |
983,787 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019418/ScoringFiles/PGS019418.txt.gz | |
| PGS019419 (TPMI_580.31_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy in diseases classified elsewhere | Nephropathy, nephritis |
1,071,477 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019419/ScoringFiles/PGS019419.txt.gz | |
| PGS019420 (TPMI_580.31_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy in diseases classified elsewhere | Nephropathy, nephritis |
997,096 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019420/ScoringFiles/PGS019420.txt.gz | |
| PGS019421 (TPMI_580.32_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy with pathological lesion | Nephropathy, nephritis |
217,972 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019421/ScoringFiles/PGS019421.txt.gz | |
| PGS019422 (TPMI_580.32_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy with pathological lesion | Nephropathy, nephritis |
939,872 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019422/ScoringFiles/PGS019422.txt.gz | |
| PGS019423 (TPMI_580.32_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy with pathological lesion | Nephropathy, nephritis |
44,839 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019423/ScoringFiles/PGS019423.txt.gz | |
| PGS019424 (TPMI_580.32_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy with pathological lesion | Nephropathy, nephritis |
983,819 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019424/ScoringFiles/PGS019424.txt.gz | |
| PGS019425 (TPMI_580.32_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy with pathological lesion | Nephropathy, nephritis |
1,071,476 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019425/ScoringFiles/PGS019425.txt.gz | |
| PGS019426 (TPMI_580.32_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Nephritis and nephropathy with pathological lesion | Nephropathy, nephritis |
966,152 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019426/ScoringFiles/PGS019426.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM022989 | PGS005282 (GRS15_nephropathy) |
PSS012087| East Asian Ancestry| 12,207 individuals |
PGP000756 | Xu L et al. Phenomics (2024) |
Reported Trait: IgA nephropathy | OR: 1.36 [1.3, 1.42] | AUROC: 0.59 | — | — | — |
| PPM022990 | PGS005283 (GRS21_nephropathy) |
PSS012087| East Asian Ancestry| 12,207 individuals |
PGP000756 | Xu L et al. Phenomics (2024) |
Reported Trait: IgA nephropathy | OR: 1.62 [1.55, 1.69] | AUROC: 0.63 | — | — | — |
| PPM022991 | PGS005284 (GRS55_nephropathy) |
PSS012087| East Asian Ancestry| 12,207 individuals |
PGP000756 | Xu L et al. Phenomics (2024) |
Reported Trait: IgA nephropathy | OR: 1.62 [1.55, 1.69] | AUROC: 0.63 | — | — | — |
| PPM037587 | PGS019405 (TPMI_580_Lassosum2) |
PSS013325| East Asian Ancestry| 17,796 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis nephrosis renal sclerosis | — | AUROC: 0.64163 | R²: 0.07348 | sex, age, array, PCs 1-10 | — |
| PPM037588 | PGS019406 (TPMI_580_LDpred2) |
PSS013324| East Asian Ancestry| 17,796 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis nephrosis renal sclerosis | — | AUROC: 0.64479 | R²: 0.07586 | sex, age, array, PCs 1-10 | — |
| PPM037589 | PGS019407 (TPMI_580_MegaPRS) |
PSS013326| East Asian Ancestry| 17,796 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis nephrosis renal sclerosis | — | AUROC: 0.64159 | R²: 0.07297 | sex, age, array, PCs 1-10 | — |
| PPM037590 | PGS019408 (TPMI_580_PRS-CS) |
PSS013327| East Asian Ancestry| 17,796 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis nephrosis renal sclerosis | — | AUROC: 0.64436 | R²: 0.07548 | sex, age, array, PCs 1-10 | — |
| PPM037591 | PGS019409 (TPMI_580_SBayesR) |
PSS013328| East Asian Ancestry| 17,796 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis nephrosis renal sclerosis | — | AUROC: 0.64191 | R²: 0.07309 | sex, age, array, PCs 1-10 | — |
| PPM037597 | PGS019415 (TPMI_580.31_Lassosum2) |
PSS013308| East Asian Ancestry| 17,312 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere | — | AUROC: 0.6585 | R²: 0.03931 | sex, age, array, PCs 1-10 | — |
| PPM037598 | PGS019416 (TPMI_580.31_LDpred2) |
PSS013307| East Asian Ancestry| 17,312 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere | — | AUROC: 0.66245 | R²: 0.04194 | sex, age, array, PCs 1-10 | — |
| PPM037599 | PGS019417 (TPMI_580.31_MegaPRS) |
PSS013309| East Asian Ancestry| 17,312 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere | — | AUROC: 0.65425 | R²: 0.0357 | sex, age, array, PCs 1-10 | — |
| PPM037600 | PGS019418 (TPMI_580.31_PRS-CS) |
PSS013310| East Asian Ancestry| 17,312 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere | — | AUROC: 0.66254 | R²: 0.04057 | sex, age, array, PCs 1-10 | — |
| PPM037601 | PGS019419 (TPMI_580.31_PRSmix+) |
PSS013311| East Asian Ancestry| 17,312 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere | — | AUROC: 0.69552 | R²: 0.05556 | sex, age, array, PCs 1-10 | — |
| PPM037602 | PGS019420 (TPMI_580.31_SBayesR) |
PSS013312| East Asian Ancestry| 17,312 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere | — | AUROC: 0.65715 | R²: 0.03786 | sex, age, array, PCs 1-10 | — |
| PPM037603 | PGS019421 (TPMI_580.32_Lassosum2) |
PSS013314| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy with pathological lesion | — | AUROC: 0.63652 | R²: 0.03429 | sex, age, array, PCs 1-10 | — |
| PPM037604 | PGS019422 (TPMI_580.32_LDpred2) |
PSS013313| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy with pathological lesion | — | AUROC: 0.64282 | R²: 0.03739 | sex, age, array, PCs 1-10 | — |
| PPM037605 | PGS019423 (TPMI_580.32_MegaPRS) |
PSS013315| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy with pathological lesion | — | AUROC: 0.63175 | R²: 0.03166 | sex, age, array, PCs 1-10 | — |
| PPM037606 | PGS019424 (TPMI_580.32_PRS-CS) |
PSS013316| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy with pathological lesion | — | AUROC: 0.64305 | R²: 0.03686 | sex, age, array, PCs 1-10 | — |
| PPM037607 | PGS019425 (TPMI_580.32_PRSmix+) |
PSS013317| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy with pathological lesion | — | AUROC: 0.67014 | R²: 0.05102 | sex, age, array, PCs 1-10 | — |
| PPM037608 | PGS019426 (TPMI_580.32_SBayesR) |
PSS013318| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nephritis and nephropathy with pathological lesion | — | AUROC: 0.63695 | R²: 0.03415 | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS013309 | 583.81,M32.14, M32.15, M35.04, N08 | — | [ ,
44.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013310 | 583.81,M32.14, M32.15, M35.04, N08 | — | [ ,
44.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013311 | 583.81,M32.14, M32.15, M35.04, N08 | — | [ ,
44.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013312 | 583.81,M32.14, M32.15, M35.04, N08 | — | [ ,
44.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013313 | 583.7, 583.8, 583.9,N05, N06.0, N06.1, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.6, N07.7, N07.8, N07.9, N14, N15.0, N15.8, N15.9 | — | [ ,
44.67 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013314 | 583.7, 583.8, 583.9,N05, N06.0, N06.1, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.6, N07.7, N07.8, N07.9, N14, N15.0, N15.8, N15.9 | — | [ ,
44.67 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013315 | 583.7, 583.8, 583.9,N05, N06.0, N06.1, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.6, N07.7, N07.8, N07.9, N14, N15.0, N15.8, N15.9 | — | [ ,
44.67 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013316 | 583.7, 583.8, 583.9,N05, N06.0, N06.1, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.6, N07.7, N07.8, N07.9, N14, N15.0, N15.8, N15.9 | — | [ ,
44.67 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013317 | 583.7, 583.8, 583.9,N05, N06.0, N06.1, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.6, N07.7, N07.8, N07.9, N14, N15.0, N15.8, N15.9 | — | [ ,
44.67 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013318 | 583.7, 583.8, 583.9,N05, N06.0, N06.1, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.6, N07.7, N07.8, N07.9, N14, N15.0, N15.8, N15.9 | — | [ ,
44.67 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013324 | 580, 581, 582, 583, 587, V13.03,B52.0, M32.14, M32.15, M35.04, N00, N01, N02.0, N02.1, N02.2, N02.3, N02.4, N02.5, N02.6, N02.7, N02.8, N02.9, N03, N04, N05, N06.0, N06.1, N06.2, N06.3, N06.4, N06.5, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.2, N07.3, N07.4, N07.5, N07.6, N07.7, N07.8, N07.9, N08, N14, N15.0, N15.8, N15.9, N17.1, N26.1, N26.9, Z87.441 | — | [ ,
44.71 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013325 | 580, 581, 582, 583, 587, V13.03,B52.0, M32.14, M32.15, M35.04, N00, N01, N02.0, N02.1, N02.2, N02.3, N02.4, N02.5, N02.6, N02.7, N02.8, N02.9, N03, N04, N05, N06.0, N06.1, N06.2, N06.3, N06.4, N06.5, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.2, N07.3, N07.4, N07.5, N07.6, N07.7, N07.8, N07.9, N08, N14, N15.0, N15.8, N15.9, N17.1, N26.1, N26.9, Z87.441 | — | [ ,
44.71 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013326 | 580, 581, 582, 583, 587, V13.03,B52.0, M32.14, M32.15, M35.04, N00, N01, N02.0, N02.1, N02.2, N02.3, N02.4, N02.5, N02.6, N02.7, N02.8, N02.9, N03, N04, N05, N06.0, N06.1, N06.2, N06.3, N06.4, N06.5, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.2, N07.3, N07.4, N07.5, N07.6, N07.7, N07.8, N07.9, N08, N14, N15.0, N15.8, N15.9, N17.1, N26.1, N26.9, Z87.441 | — | [ ,
44.71 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013327 | 580, 581, 582, 583, 587, V13.03,B52.0, M32.14, M32.15, M35.04, N00, N01, N02.0, N02.1, N02.2, N02.3, N02.4, N02.5, N02.6, N02.7, N02.8, N02.9, N03, N04, N05, N06.0, N06.1, N06.2, N06.3, N06.4, N06.5, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.2, N07.3, N07.4, N07.5, N07.6, N07.7, N07.8, N07.9, N08, N14, N15.0, N15.8, N15.9, N17.1, N26.1, N26.9, Z87.441 | — | [ ,
44.71 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013328 | 580, 581, 582, 583, 587, V13.03,B52.0, M32.14, M32.15, M35.04, N00, N01, N02.0, N02.1, N02.2, N02.3, N02.4, N02.5, N02.6, N02.7, N02.8, N02.9, N03, N04, N05, N06.0, N06.1, N06.2, N06.3, N06.4, N06.5, N06.6, N06.7, N06.8, N06.9, N07.0, N07.1, N07.2, N07.3, N07.4, N07.5, N07.6, N07.7, N07.8, N07.9, N08, N14, N15.0, N15.8, N15.9, N17.1, N26.1, N26.9, Z87.441 | — | [ ,
44.71 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012087 | — | — | [
|
— | East Asian (Chinese) |
— | NR | PKU-IgAN Cohort |
| PSS013307 | 583.81,M32.14, M32.15, M35.04, N08 | — | [ ,
44.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013308 | 583.81,M32.14, M32.15, M35.04, N08 | — | [ ,
44.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |