Trait: chronic kidney disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0003884
Description Impairment of the renal function secondary to chronic kidney damage persisting for three or more months. [NCIT: C80078]
Trait category
Other disease
Synonyms 35 synonyms
  • CKD
  • CKD - chronic kidney disease
  • Chronic Kidney Insufficiencies
  • Chronic Kidney Insufficiency
  • Chronic Renal Failure
  • Chronic Renal Insufficiencies
  • Disease, End-Stage Kidney
  • Disease, End-Stage Renal
  • END STAGE KIDNEY DIS
  • END STAGE RENAL DIS
  • ESRD
  • End Stage Kidney Disease
  • End Stage Renal Disease
  • End-Stage Kidney Disease
  • End-Stage Renal Disease
  • End-Stage Renal Failure
  • Kidney Disease, End-Stage
  • Kidney Failure, Chronic
  • Kidney Insufficiencies, Chronic
  • Kidney Insufficiency, Chronic
  • RENAL DIS END STAGE
  • Renal Disease, End Stage
  • Renal Disease, End-Stage
  • Renal Failure, Chronic
  • Renal Failure, End Stage
  • Renal Failure, End-Stage
  • Renal Insufficiencies, Chronic
  • Renal Insufficiency, Chronic
  • chronic kidney disease
  • chronic kidney failure
  • chronic renal disease
  • chronic renal failure syndrome
  • chronic renal insufficiency
  • kidney disease, chronic
  • renal failure - chronic
Mapped terms 17 mapped terms
  • DOID:784
  • ICD10:N18
  • ICD10CM:N18.9
  • ICD9:585
  • ICD9:585.6
  • MESH:D007676
  • MONDO:0005300
  • MeSH:D007676
  • MeSH:D051436
  • MedDRA:10038444
  • MedDRA:10064848
  • NCIT:C80078
  • NCIt:C80078
  • SCTID:709044004
  • SNOMEDCT:46177005
  • SNOMEDCT:90688005
  • UMLS:C1561643

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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000728
(CKD_PGS)
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Chronic kidney disease chronic kidney disease 1,958,860
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000728/ScoringFiles/PGS000728.txt.gz
PGS000859
(CKD)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Chronic kidney disease chronic kidney disease 34
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000859/ScoringFiles/PGS000859.txt.gz
PGS001272
(GBE_HC1302)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Chronic renal failure (time-to-event) chronic kidney disease 158
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001272/ScoringFiles/PGS001272.txt.gz
PGS002237
(GPS_CKD)
PGP000269 |
Khan A et al. Nat Med (2022)
Chronic kidney disease (stage 3 or greater) chronic kidney disease 471,316
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002237/ScoringFiles/PGS002237.txt.gz
PGS002757
(eGFR_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Chronic kidney disease chronic kidney disease 1,090,783
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002757/ScoringFiles/PGS002757.txt.gz
PGS003988
(dbslmm.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,141,637
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003988/ScoringFiles/PGS003988.txt.gz
PGS004004
(lassosum.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 15,373
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004004/ScoringFiles/PGS004004.txt.gz
PGS004016
(lassosum.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 88,605
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004016/ScoringFiles/PGS004016.txt.gz
PGS004030
(ldpred2.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,050,295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004030/ScoringFiles/PGS004030.txt.gz
PGS004045
(ldpred2.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,050,295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004045/ScoringFiles/PGS004045.txt.gz
PGS004058
(megaprs.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 846,995
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004058/ScoringFiles/PGS004058.txt.gz
PGS004074
(megaprs.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 846,995
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004074/ScoringFiles/PGS004074.txt.gz
PGS004088
(prscs.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,109,217
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004088/ScoringFiles/PGS004088.txt.gz
PGS004101
(prscs.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,109,217
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004101/ScoringFiles/PGS004101.txt.gz
PGS004112
(pt_clump.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 301
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004112/ScoringFiles/PGS004112.txt.gz
PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 8,543
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004128/ScoringFiles/PGS004128.txt.gz
PGS004142
(sbayesr.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 804,867
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004142/ScoringFiles/PGS004142.txt.gz
PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,135,455
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004158/ScoringFiles/PGS004158.txt.gz
PGS004224
(GRS241_CKD)
PGP000524 |
Lan R et al. Tob Induc Dis (2023)
Chronic kidney disease chronic kidney disease 241
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004224/ScoringFiles/PGS004224.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
PPM001669 PGS000728
(CKD_PGS)
PSS000870|
European Ancestry|
3,037 individuals
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Reported Trait: Estimated Glomerular Filtration Rate (eGFR) β: -0.9 [-1.45, -0.36] age, sex, 10 genetic PCs
PPM002378 PGS000859
(CKD)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.97 [0.88, 1.08] PC1-10
PPM002379 PGS000859
(CKD)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 0.98 [0.91, 1.05] PC1-10
PPM002380 PGS000859
(CKD)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.07 [1.0, 1.15] PC1-10
PPM002381 PGS000859
(CKD)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.0 [0.93, 1.06] PC1-10
PPM002382 PGS000859
(CKD)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 0.98 [0.93, 1.03] PC1-10
PPM008858 PGS001272
(GBE_HC1302)
PSS004248|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic renal failure AUROC: 0.72548 [0.69772, 0.75323] : 0.09414
Incremental AUROC (full-covars): -0.00175
PGS R2 (no covariates): 8e-05
PGS AUROC (no covariates): 0.49007 [0.45724, 0.52289]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008859 PGS001272
(GBE_HC1302)
PSS004249|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic renal failure AUROC: 0.76389 [0.67406, 0.85372] : 0.0985
Incremental AUROC (full-covars): 0.00241
PGS R2 (no covariates): 0.00158
PGS AUROC (no covariates): 0.53553 [0.42884, 0.64222]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008860 PGS001272
(GBE_HC1302)
PSS004250|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic renal failure AUROC: 0.73046 [0.71142, 0.74949] : 0.07894
Incremental AUROC (full-covars): 0.00093
PGS R2 (no covariates): 0.00109
PGS AUROC (no covariates): 0.52368 [0.50018, 0.54718]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008861 PGS001272
(GBE_HC1302)
PSS004251|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic renal failure AUROC: 0.73226 [0.70793, 0.7566] : 0.10347
Incremental AUROC (full-covars): -0.00037
PGS R2 (no covariates): 0.00031
PGS AUROC (no covariates): 0.51162 [0.48335, 0.5399]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008862 PGS001272
(GBE_HC1302)
PSS004252|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic renal failure AUROC: 0.70402 [0.69403, 0.71401] : 0.06815
Incremental AUROC (full-covars): 0.00281
PGS R2 (no covariates): 0.00203
PGS AUROC (no covariates): 0.53623 [0.52445, 0.548]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM012722 PGS002237
(GPS_CKD)
PSS009508|
European Ancestry|
141,247 individuals
PGP000269 |
Khan A et al. Nat Med (2022)
Reported Trait: Chronic Kidney Disease (stage 3 or greater) OR: 1.49 [1.47, 1.5] AUROC: 0.75 Age, Sex, Diabetes and 4 PCs
PPM012723 PGS002237
(GPS_CKD)
PSS009506|
African Ancestry|
14,544 individuals
PGP000269 |
Khan A et al. Nat Med (2022)
Reported Trait: Chronic Kidney Disease (stage 3 or greater) OR: 1.32 AUROC: 0.78 Age, Sex, Diabetes and 4 PCs
PPM012724 PGS002237
(GPS_CKD)
PSS009509|
Hispanic or Latin American Ancestry|
4,264 individuals
PGP000269 |
Khan A et al. Nat Med (2022)
Reported Trait: Chronic Kidney Disease (stage 3 or greater) OR: 1.42 [1.29, 1.57] AUROC: 0.88 Age, Sex, Diabetes and 4 PCs
PPM012725 PGS002237
(GPS_CKD)
PSS009507|
Additional Asian Ancestries|
10,087 individuals
PGP000269 |
Khan A et al. Nat Med (2022)
Reported Trait: Chronic Kidney Disease (stage 3 or greater) OR: 1.56 [1.43, 1.69] AUROC: 0.79 Age, Sex, Diabetes and 4 PCs
PPM018706 PGS002237
(GPS_CKD)
PSS011075|
European Ancestry|
11,813 individuals
PGP000495 |
Bakshi A et al. Kidney Int (2023)
|Ext.
Reported Trait: Chronic kidney disease (eGFR <60 ml/min per 1.73 m2 or UACR >3.0 mg/mmol) OR: 1.24 [1.19, 1.3] AUROC: 0.68 [0.67, 0.69] age, sex, alcohol, smoking, hypertension, diabetes, body mass index, nonsteroidal anti-inflammatory drug and angiotensin-converting enzyme inhibitor/angiotensin receptor blocker use, and visit year
PPM018707 PGS002237
(GPS_CKD)
PSS011075|
European Ancestry|
11,813 individuals
PGP000495 |
Bakshi A et al. Kidney Int (2023)
|Ext.
Reported Trait: Chronic kidney disease (eGFR <60 ml/min per 1.73 m2) OR: 1.51 [1.43, 1.59] AUROC: 0.71 [0.7, 0.73] age, sex, alcohol, smoking, hypertension, diabetes, body mass index, nonsteroidal anti-inflammatory drug and angiotensin-converting enzyme inhibitor/angiotensin receptor blocker use, and visit year
PPM018708 PGS002237
(GPS_CKD)
PSS011075|
European Ancestry|
11,813 individuals
PGP000495 |
Bakshi A et al. Kidney Int (2023)
|Ext.
Reported Trait: Chronic kidney disease (eGFR <45 ml/min per 1.73 m2) OR: 1.47 [1.32, 1.65] AUROC: 0.78 [0.75, 0.8] age, sex, alcohol, smoking, hypertension, diabetes, body mass index, nonsteroidal anti-inflammatory drug and angiotensin-converting enzyme inhibitor/angiotensin receptor blocker use, and visit year
PPM020420 PGS002237
(GPS_CKD)
PSS011354|
Multi-ancestry (including European)|
1,144 individuals
PGP000552 |
Mantovani A et al. Aliment Pharmacol Ther (2023)
|Ext.
Reported Trait: Estimated glomerular filtration rate β: -10.0 (1.32) sex, age, height, waist circumference, systolic blood pressure, ALT aminotransferase, Fasting insulin, albuminuria, LDL-cholesterol, lipid-lowering treatment, ethnicity, PNPLA3 rs738409 p.I148M
PPM020421 PGS002237
(GPS_CKD)
PSS011355|
Multi-ancestry (including European)|
144 individuals
PGP000552 |
Mantovani A et al. Aliment Pharmacol Ther (2023)
|Ext.
Reported Trait: Estimated glomerular filtration rate β: -8.1 (4.23) sex, height, systolic blood pressure, LDL-cholesterol, ALT aminotransferase, albuminuria, PNPLA3 rs738409 p.I148M
PPM014957 PGS002757
(eGFR_prscs)
PSS009939|
European Ancestry|
39,444 individuals
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Reported Trait: Chronic kidney disease OR: 1.15 [1.05, 1.26] age, sex, 10 PCs, technical covariates
PPM019725 PGS003988
(dbslmm.auto.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23024
β: 0.20721
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019726 PGS003988
(dbslmm.auto.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.19381
β: 0.17715
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019728 PGS003988
(dbslmm.auto.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.13529
β: 0.12688
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019730 PGS003988
(dbslmm.auto.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.17463
β: 0.16095
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019732 PGS003988
(dbslmm.auto.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.21118
β: 0.19159
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019734 PGS003988
(dbslmm.auto.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.32812
β: 0.28376
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019791 PGS004004
(lassosum.auto.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.21322
β: 0.19327
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019792 PGS004004
(lassosum.auto.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.1667
β: 0.15418
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019794 PGS004004
(lassosum.auto.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.14563
β: 0.13596
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019796 PGS004004
(lassosum.auto.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.17435
β: 0.16072
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019798 PGS004004
(lassosum.auto.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.17987
β: 0.1654
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019800 PGS004004
(lassosum.auto.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.32743
β: 0.28325
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019801 PGS004016
(lassosum.CV.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23332
β: 0.20971
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019802 PGS004016
(lassosum.CV.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.19566
β: 0.1787
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019804 PGS004016
(lassosum.CV.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.14431
β: 0.1348
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019806 PGS004016
(lassosum.CV.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18937
β: 0.17342
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019808 PGS004016
(lassosum.CV.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23734
β: 0.21296
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019810 PGS004016
(lassosum.CV.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.3499
β: 0.30003
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019745 PGS004030
(ldpred2.auto.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23112
β: 0.20793
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019746 PGS004030
(ldpred2.auto.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.19337
β: 0.17678
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019748 PGS004030
(ldpred2.auto.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.1534
β: 0.14271
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019750 PGS004030
(ldpred2.auto.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.17966
β: 0.16522
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019752 PGS004030
(ldpred2.auto.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.26323
β: 0.23368
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019754 PGS004030
(ldpred2.auto.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.37576
β: 0.31901
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019685 PGS004045
(ldpred2.CV.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.242
β: 0.21672
AUROC: 0.56 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019686 PGS004045
(ldpred2.CV.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.19906
β: 0.18153
AUROC: 0.55 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019688 PGS004045
(ldpred2.CV.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.1551
β: 0.14419
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019690 PGS004045
(ldpred2.CV.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18451
β: 0.16933
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019692 PGS004045
(ldpred2.CV.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.27638
β: 0.24403
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019694 PGS004045
(ldpred2.CV.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.37553
β: 0.31884
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019755 PGS004058
(megaprs.auto.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23792
β: 0.21343
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019756 PGS004058
(megaprs.auto.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.20337
β: 0.18513
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019758 PGS004058
(megaprs.auto.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.15047
β: 0.14017
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019760 PGS004058
(megaprs.auto.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18412
β: 0.169
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019762 PGS004058
(megaprs.auto.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.28993
β: 0.25459
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019764 PGS004058
(megaprs.auto.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.36871
β: 0.31387
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019765 PGS004074
(megaprs.CV.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23578
β: 0.2117
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019766 PGS004074
(megaprs.CV.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.20198
β: 0.18397
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019768 PGS004074
(megaprs.CV.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.14888
β: 0.13879
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019770 PGS004074
(megaprs.CV.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18135
β: 0.16666
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019772 PGS004074
(megaprs.CV.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.27181
β: 0.24044
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019774 PGS004074
(megaprs.CV.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.37315
β: 0.31711
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019781 PGS004088
(prscs.auto.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.22843
β: 0.20574
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019782 PGS004088
(prscs.auto.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.1913
β: 0.17504
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019784 PGS004088
(prscs.auto.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.13127
β: 0.12334
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019786 PGS004088
(prscs.auto.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18048
β: 0.16592
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019788 PGS004088
(prscs.auto.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.24645
β: 0.2203
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019790 PGS004088
(prscs.auto.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.34394
β: 0.2956
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019775 PGS004101
(prscs.CV.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.22532
β: 0.2032
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019776 PGS004101
(prscs.CV.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18489
β: 0.16965
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019777 PGS004101
(prscs.CV.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.14104
β: 0.13194
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019778 PGS004101
(prscs.CV.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.17256
β: 0.15919
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019780 PGS004101
(prscs.CV.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.33357
β: 0.28786
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019779 PGS004101
(prscs.CV.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.26007
β: 0.23117
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019695 PGS004112
(pt_clump.auto.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.11711
β: 0.11075
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019696 PGS004112
(pt_clump.auto.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.08316
β: 0.07988
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019698 PGS004112
(pt_clump.auto.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.09504
β: 0.09079
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019700 PGS004112
(pt_clump.auto.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.10467
β: 0.09955
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019702 PGS004112
(pt_clump.auto.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.07811
β: 0.07521
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019704 PGS004112
(pt_clump.auto.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18494
β: 0.16969
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019705 PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.2025
β: 0.1844
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019706 PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.17535
β: 0.16157
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019708 PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.12482
β: 0.11762
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019710 PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.14728
β: 0.1374
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019712 PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.1553
β: 0.14436
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019714 PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.28244
β: 0.24876
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019735 PGS004142
(sbayesr.auto.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23421
β: 0.21043
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019736 PGS004142
(sbayesr.auto.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.18832
β: 0.17254
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019738 PGS004142
(sbayesr.auto.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.14325
β: 0.13388
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019740 PGS004142
(sbayesr.auto.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.17317
β: 0.15971
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019742 PGS004142
(sbayesr.auto.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.23784
β: 0.21337
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019744 PGS004142
(sbayesr.auto.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.36398
β: 0.3104
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019715 PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PSS011216|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.24774
β: 0.22134
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019716 PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PSS011228|
European Ancestry|
383,843 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.20836
β: 0.18926
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019717 PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PSS011239|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.15782
β: 0.14654
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019718 PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PSS011255|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.19045
β: 0.17433
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019719 PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PSS011283|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.28519
β: 0.25091
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019720 PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PSS011269|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Chronic kidney disease or dialysis OR: 1.38925
β: 0.32876
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM020162 PGS004224
(GRS241_CKD)
PSS011300|
Multi-ancestry (including European)|
214,244 individuals
PGP000524 |
Lan R et al. Tob Induc Dis (2023)
Reported Trait: Incident CKD with second hand smoke exposure Hazard ratio (HR, second hand smoke exposure and high PRS vs. no exposure and low PRS): 1.34 [1.21, 1.48] Age, sex, race, physical activity, Townsend deprivation index, alcohol consumption, total triglyceride, body mass index, hypertension, and diabetes mellitus

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
PSS011283
[
  • 478 cases
  • , 8,848 controls
]
South Asian UKB
PSS011300 196,354 individuals European UKB Full combined ancestry cohort: percent males = 57.9%
PSS011300 17,890 individuals Not reported UKB Full combined ancestry cohort: percent males = 57.9%
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls
[
  • 2,853 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls
[
  • 1,372 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls
[
  • 450 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls
[
  • 1,186 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls
[
  • 1,125 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS011216
[
  • 4,224 cases
  • , 195,050 controls
]
European EB
PSS011354 1,144 individuals,
36.5 % Male samples
Mean = 54.0 years
Sd = 6.0 years
European, Not reported European (>90%), Not reported NR Liver-Bible-2022
PSS011355 Median = 17.0 months 144 individuals European, Not reported European, Not reported NR Liver-Bible-2022
PSS011228 N14_CHRONKIDNEYDIS, ICD10: N18, ICD9: 585, include dialysis (ICD10 Z992|Y841)
[
  • 9,314 cases
  • , 374,529 controls
]
European FinnGen
PSS011075 11,813 individuals,
45.8 % Male samples
Mean = 75.0 years
Sd = 4.2 years
European ASPREE
PSS004248
[
  • 323 cases
  • , 6,174 controls
]
African unspecified UKB
PSS004249
[
  • 26 cases
  • , 1,678 controls
]
East Asian UKB
PSS009939 39,444 individuals European
(Finnish)
FinnGen
PSS004250
[
  • 610 cases
  • , 24,295 controls
]
European non-white British ancestry UKB
PSS000870 Serum creatinine was quantified by Metabolon HD4 metabolomics in mg/dL units, and adjusted for sample measurement batch, sample measurement plate, and days between blood draw and sample processing. Subsequently, eGFR was quantified from serum creatinine using the CKD-EPI equation 3,037 individuals,
51.0 % Male samples
Median = 44.0 years
IQR = [30.5, 54.7] years
European INTERVAL
PSS004252
[
  • 2,373 cases
  • , 65,052 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004251
[
  • 416 cases
  • , 7,415 controls
]
South Asian UKB
PSS011239
[
  • 1,131 cases
  • , 42,926 controls
]
South Asian G&H
PSS009506 eGFR<60 mL/min/1.73m2 used to define CKD (stage 3 or greater)
[
  • 4,268 cases
  • , 10,276 controls
]
,
0.61 % Male samples
Mean = 61.0 years African unspecified 7 cohorts
  • BioMe
  • ,GenHAT
  • ,HYPERGEN
  • ,REGARDS
  • ,UKB
  • ,WPC
  • ,eMERGE
PSS009507 eGFR<60 mL/min/1.73m2 used to define CKD (stage 3 or greater)
[
  • 969 cases
  • , 9,118 controls
]
,
0.51 % Male samples
Mean = 58.0 years Asian unspecified BioMe, UKB, eMERGE
PSS009508 eGFR<60 mL/min/1.73m2 used to define CKD (stage 3 or greater)
[
  • 23,364 cases
  • , 117,883 controls
]
,
0.5 % Male samples
Mean = 61.59 years European BioMe, UKB, eMERGE
PSS009509 eGFR<60 mL/min/1.73m2 used to define CKD (stage 3 or greater)
[
  • 1,386 cases
  • , 2,878 controls
]
,
0.51 % Male samples
Mean = 64.0 years Hispanic or Latin American BioMe, UKB, eMERGE
PSS011255
[
  • 2,802 cases
  • , 64,063 controls
]
European HUNT
PSS011269
[
  • 3,374 cases
  • , 86,900 controls
]
European UKB