Trait: kidney failure

Trait Information
Identifier MONDO_0001106
Description An acute or chronic condition that is characterized by the inability of the kidneys to adequately filter the blood. [NCIT: P378]
Trait category
Other disease
Synonyms 4 synonyms
  • failure, renal
  • renal failure
  • renal failure syndrome
  • renal insufficiency
Child trait(s) acute kidney injury

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "kidney failure" and any child terms of this trait in the EFO hierarchy by default.
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)
PGS000708
(HC294)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Kidney failure kidney failure 183,272
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000708/ScoringFiles/PGS000708.txt.gz - Check Terms/Licenses
PGS004491
(disease.N17.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 N17 (Acute renal failure) acute kidney injury 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004491/ScoringFiles/PGS004491.txt.gz
PGS004492
(disease.N18.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 N18 (Chronic renal failure) kidney failure 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004492/ScoringFiles/PGS004492.txt.gz
PGS004561
(meta.N17.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 N17 (Acute renal failure) acute kidney injury 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004561/ScoringFiles/PGS004561.txt.gz
PGS004562
(meta.N18.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 N18 (Chronic renal failure) kidney failure 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004562/ScoringFiles/PGS004562.txt.gz
PGS019427
(TPMI_585_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Renal failure kidney failure 202,575
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019427/ScoringFiles/PGS019427.txt.gz
PGS019428
(TPMI_585_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Renal failure kidney failure 939,876
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019428/ScoringFiles/PGS019428.txt.gz
PGS019429
(TPMI_585_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Renal failure kidney failure 54,591
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019429/ScoringFiles/PGS019429.txt.gz
PGS019430
(TPMI_585_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Renal failure kidney failure 983,815
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019430/ScoringFiles/PGS019430.txt.gz
PGS019431
(TPMI_585_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Renal failure kidney failure 949,766
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019431/ScoringFiles/PGS019431.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM001608 PGS000708
(HC294)
 PSS000829|
European Ancestry|
135,300 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Renal failure HR: 1.12 [1.08, 1.16] C-index: 0.667 — Age as time scale, sex, batch, PCs(1-10) —
PPM001600 PGS000708
(HC294)
 PSS000823|
European Ancestry|
87,413 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Kidney failure — AUROC: 0.56142 — Age, sex, PCs(1-10) —
PPM001609 PGS000708
(HC294)
 PSS000804|
European Ancestry|
135,300 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Dialysis HR: 1.13 [1.04, 1.23] C-index: 0.745 — Age as time scale, sex, batch, PCs(1-10) —
PPM001610 PGS000708
(HC294)
 PSS000682|
European Ancestry|
135,300 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Diabetic kidney failure in all HR: 1.19 [1.13, 1.26] C-index: 0.779 — Age as time scale, sex, batch, PCs(1-10) —
PPM001611 PGS000708
(HC294)
 PSS000682|
European Ancestry|
135,300 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Diabetic kidney failure in diabetics HR: 1.08 [1.02, 1.14] C-index: 0.706 — Age as time scale, sex, batch, PCs(1-10) —
PPM001612 PGS000708
(HC294)
 PSS000683|
European Ancestry|
135,300 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Diabetic kidney failure in type 2 diabetics HR: 1.13 [1.04, 1.24] C-index: 0.634 — Age as time scale, sex, batch, PCs(1-10) —
PPM020606 PGS004491
(disease.N17.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: N17 (Acute renal failure) OR: 1.08493 — — — —
PPM020607 PGS004492
(disease.N18.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: N18 (Chronic renal failure) OR: 1.17083 — — — —
PPM020676 PGS004561
(meta.N17.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: N17 (Acute renal failure) OR: 1.15324 — — — —
PPM020677 PGS004562
(meta.N18.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: N18 (Chronic renal failure) OR: 1.39548 — — — —
PPM037609 PGS019427
(TPMI_585_Lassosum2)
 PSS013346|
East Asian Ancestry|
18,511 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Renal failure — AUROC: 0.65439 R²: 0.05794 sex, age, array, PCs 1-10 —
PPM037610 PGS019428
(TPMI_585_LDpred2)
 PSS013345|
East Asian Ancestry|
18,511 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Renal failure — AUROC: 0.65937 R²: 0.06107 sex, age, array, PCs 1-10 —
PPM037611 PGS019429
(TPMI_585_MegaPRS)
 PSS013347|
East Asian Ancestry|
18,511 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Renal failure — AUROC: 0.65658 R²: 0.05887 sex, age, array, PCs 1-10 —
PPM037612 PGS019430
(TPMI_585_PRS-CS)
 PSS013348|
East Asian Ancestry|
18,511 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Renal failure — AUROC: 0.65743 R²: 0.05925 sex, age, array, PCs 1-10 —
PPM037613 PGS019431
(TPMI_585_SBayesR)
 PSS013349|
East Asian Ancestry|
18,511 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Renal failure — AUROC: 0.65504 R²: 0.05791 sex, age, array, PCs 1-10 —

Evaluated Samples

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
PSS000682 ICD-10 E1[0-4]2 —
[
  • 1,299 cases
  • , 134,001 controls
]
 — European
(Finnish)		 — FinnGen —
PSS000683 ICD-10 E1[0-4]2 —
[
  • 511 cases
  • , 134,789 controls
]
 — European
(Finnish)		 — FinnGen —
PSS013346 584, 585, 586, 792.5, 996.73, E870.2, E871.2, E872.2, E874.2, E879.1, V45.1, V56,N17, N18, N19, R88.0, Y62.0, Y62.2, Y84.1, Z99.2 —
[
  • 1,928 cases
  • , 16,583 controls
]
,
45.88 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013345 584, 585, 586, 792.5, 996.73, E870.2, E871.2, E872.2, E874.2, E879.1, V45.1, V56,N17, N18, N19, R88.0, Y62.0, Y62.2, Y84.1, Z99.2 —
[
  • 1,928 cases
  • , 16,583 controls
]
,
45.88 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013347 584, 585, 586, 792.5, 996.73, E870.2, E871.2, E872.2, E874.2, E879.1, V45.1, V56,N17, N18, N19, R88.0, Y62.0, Y62.2, Y84.1, Z99.2 —
[
  • 1,928 cases
  • , 16,583 controls
]
,
45.88 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013348 584, 585, 586, 792.5, 996.73, E870.2, E871.2, E872.2, E874.2, E879.1, V45.1, V56,N17, N18, N19, R88.0, Y62.0, Y62.2, Y84.1, Z99.2 —
[
  • 1,928 cases
  • , 16,583 controls
]
,
45.88 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013349 584, 585, 586, 792.5, 996.73, E870.2, E871.2, E872.2, E874.2, E879.1, V45.1, V56,N17, N18, N19, R88.0, Y62.0, Y62.2, Y84.1, Z99.2 —
[
  • 1,928 cases
  • , 16,583 controls
]
,
45.88 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS000823 — — 87,413 individuals — European — UKB —
PSS000829 ICD-10 N17 —
[
  • 3,058 cases
  • , 132,242 controls
]
 — European
(Finnish)		 — FinnGen —
PSS011364 — — 56,192 individuals — European — UKB —
PSS000804 ICD-10 Z992|Y841 —
[
  • 595 cases
  • , 134,705 controls
]
 — European
(Finnish)		 — FinnGen —