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 | 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 |
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 | — |
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 | — |
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 |
---|---|---|---|---|---|---|---|---|
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) |
PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
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 | — |
PSS011075 | — | — | 11,813 individuals, 45.8 % Male samples |
Mean = 75.0 years Sd = 4.2 years |
European | — | ASPREE | — |
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 | — |
PSS004248 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004249 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004250 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004251 | — | — | [
|
— | South Asian | — | UKB | — |