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
|
Mapped terms |
17 mapped terms
|
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) |
---|---|---|---|---|---|---|
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 |
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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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 | — |
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 | — | — | [
|
— | 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 | — | [
|
— | European | Swedish | ANDIS | — |
PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
PSS011216 | — | — | [
|
— | 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) | — | [
|
— | European | — | FinnGen | — |
PSS011075 | — | — | 11,813 individuals, 45.8 % Male samples |
Mean = 75.0 years Sd = 4.2 years |
European | — | ASPREE | — |
PSS004248 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004249 | — | — | [
|
— | East Asian | — | UKB | — |
PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
PSS004250 | — | — | [
|
— | 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 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004251 | — | — | [
|
— | South Asian | — | UKB | — |
PSS011239 | — | — | [
|
— | South Asian | — | G&H | — |
PSS009506 | eGFR<60 mL/min/1.73m2 used to define CKD (stage 3 or greater) | — | [ ,
0.61 % Male samples |
Mean = 61.0 years | African unspecified | — | 7 cohorts
|
— |
PSS009507 | eGFR<60 mL/min/1.73m2 used to define CKD (stage 3 or greater) | — | [ ,
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) | — | [ ,
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) | — | [ ,
0.51 % Male samples |
Mean = 64.0 years | Hispanic or Latin American | — | BioMe, UKB, eMERGE | — |
PSS011255 | — | — | [
|
— | European | — | HUNT | — |
PSS011269 | — | — | [
|
— | European | — | UKB | — |