Trait: urinary system disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0009690
Description A disease involving the renal system.
Trait category
Other disease
Synonyms 26 synonyms
  • disease of renal system
  • disease or disorder of renal system
  • disease, urinary tract
  • disease, urologic
  • disease, urological
  • diseases, urinary tract
  • diseases, urologic
  • diseases, urological
  • disorder of renal system
  • disorder of the urinary system
  • disorder of urinary system
  • non-neoplastic urinary tract disease
  • renal system disease
  • renal system disease or disorder
  • urinary disease
  • urinary system disease
  • urinary system disorder
  • urinary tract disease
  • urinary tract diseases
  • urinary tract disorder
  • urologic disease
  • urologic disorder
  • urological disease
  • urological diseases
  • urological disorder
  • urological disorders
Mapped terms 9 mapped terms
  • DOID:18
  • ICD10:N28
  • ICD10:N39
  • ICD9:V47.4
  • MESH:D014570
  • MONDO:0002118
  • NCIT:C3430
  • SCTID:128606002
  • UMLS:C0042075
Child trait(s) 15 child traits

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 "urinary system disease" 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)
PGS000071
(CC_Bladder)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Bladder cancer urinary bladder carcinoma 15
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000071/ScoringFiles/PGS000071.txt.gz
PGS000076
(CC_Kidney)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Kidney cancer renal cell carcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000076/ScoringFiles/PGS000076.txt.gz
PGS000152
(cGRS_Bladder)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Bladder cancer urinary bladder carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000152/ScoringFiles/PGS000152.txt.gz
PGS000161
(cGRS_Renal)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Renal cancer renal carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000161/ScoringFiles/PGS000161.txt.gz
PGS000196
(G-PROB_SLE)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Systemic lupus erythematosus systemic lupus erythematosus 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000196/ScoringFiles/PGS000196.txt.gz
PGS000328
(GRS_SLE)
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Systemic lupus erythematosus systemic lupus erythematosus 57
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000328/ScoringFiles/PGS000328.txt.gz
PGS000341
(GRS33_SSc)
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Systemic sclerosis systemic scleroderma 33
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000341/ScoringFiles/PGS000341.txt.gz
PGS000605
(PRSWEB_PHECODE189.11_GWAS-Catalog-r2019-05-03-X189.11_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of kidney, except pelvis kidney cancer 12
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000605/ScoringFiles/PGS000605.txt.gz
PGS000606
(PRSWEB_PHECODE189.11_GWAS-Catalog-r2019-05-03-X189.11_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of kidney, except pelvis kidney cancer 12
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000606/ScoringFiles/PGS000606.txt.gz
PGS000607
(PRSWEB_PHECODE189.2_20001-1035_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 1,095,241
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000607/ScoringFiles/PGS000607.txt.gz
PGS000608
(PRSWEB_PHECODE189.2_C3-BLADDER_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 1,097,063
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000608/ScoringFiles/PGS000608.txt.gz
PGS000609
(PRSWEB_PHECODE189.2_C67_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 1,130
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000609/ScoringFiles/PGS000609.txt.gz
PGS000610
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000610/ScoringFiles/PGS000610.txt.gz
PGS000611
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000611/ScoringFiles/PGS000611.txt.gz
PGS000612
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000612/ScoringFiles/PGS000612.txt.gz
PGS000613
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 15
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000613/ScoringFiles/PGS000613.txt.gz
PGS000614
(PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000614/ScoringFiles/PGS000614.txt.gz
PGS000615
(PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 106
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000615/ScoringFiles/PGS000615.txt.gz
PGS000616
(PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Bladder cancer urinary bladder carcinoma 24,359
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000616/ScoringFiles/PGS000616.txt.gz
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
PGS000722
(PRS_Kidney)
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Kidney cancer renal carcinoma 15
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000722/ScoringFiles/PGS000722.txt.gz
PGS000723
(PRS_Bladder)
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Bladder cancer urinary bladder carcinoma 14
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000723/ScoringFiles/PGS000723.txt.gz
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
PGS000754
(PRS_SLE)
PGP000160 |
Wang YF et al. Nat Commun (2021)
Systemic lupus erythematosus systemic lupus erythematosus 293,684
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000754/ScoringFiles/PGS000754.txt.gz
PGS000771
(GRS95_SLEmain)
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Systemic lupus erythematosus systemic lupus erythematosus 95
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000771/ScoringFiles/PGS000771.txt.gz
PGS000772
(GRS95_SLEgen)
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Systemic lupus erythematosus systemic lupus erythematosus 95
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000772/ScoringFiles/PGS000772.txt.gz
PGS000782
(CC_Bladder_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Bladder cancer urinary bladder carcinoma 15
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000782/ScoringFiles/PGS000782.txt.gz
PGS000787
(CC_Kidney_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Kidney cancer renal cell carcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000787/ScoringFiles/PGS000787.txt.gz
PGS000803
(wGRS41_SLE)
PGP000192 |
Kawai VK et al. Lupus (2021)
Systemic lupus erythematosus systemic lupus erythematosus 41
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000803/ScoringFiles/PGS000803.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
PGS001174
(GBE_HC1125)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Cholelithiasis (time-to-event) cholelithiasis 970
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001174/ScoringFiles/PGS001174.txt.gz
PGS001250
(GBE_HC1304)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Calculus of kidney and ureter (time-to-event) nephrolithiasis,
ureterolithiasis
341
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001250/ScoringFiles/PGS001250.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
PGS001807
(portability-PLR_189.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Bladder cancer urinary bladder carcinoma 291
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001807/ScoringFiles/PGS001807.txt.gz
PGS001861
(portability-PLR_574)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Cholelithiasis and cholecystitis cholelithiasis,
Cholecystitis
2,059
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001861/ScoringFiles/PGS001861.txt.gz
PGS001864
(portability-PLR_594)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Urinary calculus urolithiasis 5,599
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001864/ScoringFiles/PGS001864.txt.gz
PGS002017
(portability-ldpred2_189.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Bladder cancer urinary bladder carcinoma 510,453
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002017/ScoringFiles/PGS002017.txt.gz
PGS002072
(portability-ldpred2_574)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Cholelithiasis and cholecystitis cholelithiasis,
Cholecystitis
428,587
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002072/ScoringFiles/PGS002072.txt.gz
PGS002075
(portability-ldpred2_594)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Urinary calculus urolithiasis 731,196
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002075/ScoringFiles/PGS002075.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
PGS003335
(GRS18_BC)
PGP000404 |
Teleka S et al. Sci Rep (2022)
Bladder cancer urinary bladder carcinoma 18
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003335/ScoringFiles/PGS003335.txt.gz
PGS003354
(SSNS-GRS)
PGP000407 |
Downie ML et al. Pediatr Nephrol (2022)
Childhood steroid-sensitive nephrotic syndrome nephrotic syndrome 5
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003354/ScoringFiles/PGS003354.txt.gz
PGS003736
(PRS13_BlC)
PGP000470 |
Xin J et al. EBioMedicine (2023)
Bladder cancer urinary bladder cancer 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003736/ScoringFiles/PGS003736.txt.gz
PGS003744
(PRS14_RC)
PGP000470 |
Xin J et al. EBioMedicine (2023)
Renal cancer renal carcinoma 14
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003744/ScoringFiles/PGS003744.txt.gz
PGS003755
(wGRS_SLE)
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Systemic lupus erythematosus systemic lupus erythematosus 122
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003755/ScoringFiles/PGS003755.txt.gz
PGS003756
(wGRS_SLE_non-HLA)
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Systemic lupus erythematosus systemic lupus erythematosus 112
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003756/ScoringFiles/PGS003756.txt.gz
PGS003757
(wGRS_SLE_HLA)
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Systemic lupus erythematosus systemic lupus erythematosus 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003757/ScoringFiles/PGS003757.txt.gz
PGS003960
(GRS57_SLE)
PGP000509 |
Barnado A et al. Arthritis Rheumatol (2023)
Systemic lupus erythematosus systemic lupus erythematosus 57
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003960/ScoringFiles/PGS003960.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
PGS004241
(PRS12_bladder)
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Bladder cancer urinary bladder carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004241/ScoringFiles/PGS004241.txt.gz
PGS004245
(PRS12_kidney)
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Kidney cancer renal cell carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004245/ScoringFiles/PGS004245.txt.gz
PGS004476
(disease.K80.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
K80 (Cholelithiasis) cholelithiasis 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004476/ScoringFiles/PGS004476.txt.gz
PGS004491
(disease.N17.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
N17 (Acute renal failure) acute kidney failure 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
PGS004493
(disease.N20.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
N20 (Calculus of kidney and ureter) nephrolithiasis 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004493/ScoringFiles/PGS004493.txt.gz
PGS004494
(disease.N39.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
N39 (Other disorders of urinary system) urinary system disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004494/ScoringFiles/PGS004494.txt.gz
PGS004546
(meta.K80.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
K80 (Cholelithiasis) cholelithiasis 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004546/ScoringFiles/PGS004546.txt.gz
PGS004561
(meta.N17.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
N17 (Acute renal failure) acute kidney failure 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
PGS004563
(meta.N20.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
N20 (Calculus of kidney and ureter) nephrolithiasis 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004563/ScoringFiles/PGS004563.txt.gz
PGS004564
(meta.N39.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
N39 (Other disorders of urinary system) urinary system disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004564/ScoringFiles/PGS004564.txt.gz
PGS004687
(bladder_cancer)
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Bladder cancer urinary bladder carcinoma 1,077,775
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004687/ScoringFiles/PGS004687.txt.gz
PGS004690
(kidney_cancer)
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Kidney cancer renal carcinoma 6,351,669
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004690/ScoringFiles/PGS004690.txt.gz
PGS004889
(CKD_gePGS)
PGP000619 |
Mandla R et al. Genome Med (2024)
Chronic kidney disease chronic kidney disease 1,117,375
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004889/ScoringFiles/PGS004889.txt.gz
PGS004908
(PRS107_KC)
PGP000640 |
Purdue MP et al. Nat Genet (2024)
Kidney cancer renal carcinoma 107
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004908/ScoringFiles/PGS004908.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
PPM000191 PGS000071
(CC_Bladder)
PSS000110|
European Ancestry|
412,602 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Bladder cancer OR: 1.3 [1.25, 1.36] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002037 PGS000071
(CC_Bladder)
PSS001010|
European Ancestry|
391,888 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident blader cancer HR: 1.28 [1.2, 1.37] AUROC: 0.803
C-index: 0.813 (0.008)
Age at assessment, sex, genotyping array, PCs(1-15), cigarette pack-years, smoking status(never vs. former vs. current), body mass index C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM017172 PGS000071
(CC_Bladder)
PSS010143|
European Ancestry|
424 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Bladder cancer HR: 1.21 [1.1, 1.33] age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index
PPM000196 PGS000076
(CC_Kidney)
PSS000115|
European Ancestry|
411,695 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Kidney cancer OR: 1.21 [1.14, 1.27] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002042 PGS000076
(CC_Kidney)
PSS001015|
European Ancestry|
391,610 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident kidney cancer HR: 1.16 [1.08, 1.26] AUROC: 0.722
C-index: 0.724 (0.011)
Age at assessment, sex, genotyping array, PCs(1-15), body mass index, smoking status (never vs. former vs. current), cigarette pack-years, ever diagnosed with hypertension C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM017169 PGS000076
(CC_Kidney)
PSS010145|
European Ancestry|
547 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Kidney cancer HR: 1.14 [1.05, 1.24] age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates
PPM000472 PGS000152
(cGRS_Bladder)
PSS000272|
European Ancestry|
13,770 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Bladder cancer Mean realative risk: 1.04 [1.0, 1.08]
Wilcoxon test (case vs. control) p-value: 0.00377
PPM000483 PGS000152
(cGRS_Bladder)
PSS000272|
European Ancestry|
13,770 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Bladder cancer Odds Ratio (OR; high vs. average risk groups): 1.58 [1.1, 2.25]
PPM000492 PGS000161
(cGRS_Renal)
PSS000281|
European Ancestry|
13,880 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Renal cancer Odds Ratio (OR; high vs. average risk groups): 1.58 [1.14, 2.18]
PPM000481 PGS000161
(cGRS_Renal)
PSS000281|
European Ancestry|
13,880 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Renal cancer Mean realative risk: 1.09 [1.06, 1.12]
Wilcoxon test (case vs. control) p-value: 8.66e-10
PPM000579 PGS000196
(G-PROB_SLE)
PSS000319|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis AUROC: 0.61 [0.27, 0.86] (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000573 PGS000196
(G-PROB_SLE)
PSS000318|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis AUROC: 0.79 [0.72, 0.85] (Setting II: Assigning patient diagnoses based on medical records)
PPM000567 PGS000196
(G-PROB_SLE)
PSS000324|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis AUROC: 0.74 [0.7, 0.78] (Setting I: Assigning patient diagnoses based on billing codes)
PPM000882 PGS000328
(GRS_SLE)
PSS000438|
European Ancestry|
15,383 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus AUROC: 0.71 Odds Ratio (OR; highest vs. lowest quartile): 7.48 [6.73, 8.32]
PPM000880 PGS000328
(GRS_SLE)
PSS000436|
European Ancestry|
3,803 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus AUROC: 0.78 Odds Ratio (OR; highest vs. lowest quartile): 12.32 [9.53, 15.71]
PPM000883 PGS000328
(GRS_SLE)
PSS000436|
European Ancestry|
3,803 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic Lupus damage score (SDI) OR: 1.13 [1.03, 1.24] Odds Ratio (OR; highest vs. lowest quartile): 1.47 [1.06, 2.04]
PPM000881 PGS000328
(GRS_SLE)
PSS000437|
European Ancestry|
1,001 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus (onset before age 20) AUROC: 0.83
PPM000885 PGS000328
(GRS_SLE)
PSS000437|
European Ancestry|
1,001 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Nephritis in systemic lupus erythematosus patients Hazard Ratio (HR; highest vs. lowest quartile): 2.53 [1.72, 3.71]
PPM000884 PGS000328
(GRS_SLE)
PSS000436|
European Ancestry|
3,803 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus (age-at-onset) Hazard Ratio (HR; highest vs. lowest quartile): 1.47 [1.22, 1.75]
PPM000970 PGS000341
(GRS33_SSc)
PSS000489|
European Ancestry|
339 individuals
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Reported Trait: Systemic sclerosis AUROC: 0.787 [0.73, 0.84] Systemic sclerosis status, age and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells *Some overlap with score development and testing samples
PPM000969 PGS000341
(GRS33_SSc)
PSS000489|
European Ancestry|
339 individuals
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Reported Trait: Systemic sclerosis AUROC: 0.722 Systemic sclerosis status and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells *Some overlap with score development and testing samples
PPM000968 PGS000341
(GRS33_SSc)
PSS000489|
European Ancestry|
339 individuals
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Reported Trait: Systemic sclerosis AUROC: 0.644 *Some overlap with score development and testing samples
PPM001290 PGS000605
(PRSWEB_PHECODE189.11_GWAS-Catalog-r2019-05-03-X189.11_P_5e-08_UKB_20200608)
PSS000575|
European Ancestry|
5,818 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of kidney, except pelvis OR: 1.154 [1.062, 1.254]
β: 0.143 (0.0426)
AUROC: 0.517 [0.492, 0.54] Nagelkerke's Pseudo-R²: 0.00398
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 2.17 [1.13, 4.14]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.11_GWAS-Catalog-r2019-05-03-X189.11_P_5e-08_UKB_20200608
PPM001291 PGS000606
(PRSWEB_PHECODE189.11_GWAS-Catalog-r2019-05-03-X189.11_PT_UKB_20200608)
PSS000575|
European Ancestry|
5,818 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of kidney, except pelvis OR: 1.154 [1.062, 1.254]
β: 0.143 (0.0426)
AUROC: 0.517 [0.492, 0.54] Nagelkerke's Pseudo-R²: 0.00398
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 2.17 [1.13, 4.14]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.11_GWAS-Catalog-r2019-05-03-X189.11_PT_UKB_20200608
PPM001292 PGS000607
(PRSWEB_PHECODE189.2_20001-1035_PRS-CS_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.096 [1.018, 1.18]
β: 0.0918 (0.0377)
AUROC: 0.531 [0.509, 0.551] Nagelkerke's Pseudo-R²: 0.00156
Brier score: 0.0922
Odds Ratio (OR, top 1% vs. Rest): 0.671 [0.279, 1.61]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_20001-1035_PRS-CS_MGI_20200608
PPM001293 PGS000608
(PRSWEB_PHECODE189.2_C3-BLADDER_PRS-CS_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.084 [1.006, 1.167]
β: 0.0803 (0.0377)
AUROC: 0.521 [0.499, 0.541] Nagelkerke's Pseudo-R²: 0.00124
Brier score: 0.0922
Odds Ratio (OR, top 1% vs. Rest): 1.53 [0.832, 2.83]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_C3-BLADDER_PRS-CS_MGI_20200608
PPM001294 PGS000609
(PRSWEB_PHECODE189.2_C67_LASSOSUM_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.106 [1.027, 1.191]
β: 0.101 (0.0376)
AUROC: 0.528 [0.508, 0.549] Nagelkerke's Pseudo-R²: 0.00205
Brier score: 0.0922
Odds Ratio (OR, top 1% vs. Rest): 1.69 [0.934, 3.06]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_C67_LASSOSUM_MGI_20200608
PPM001295 PGS000610
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_P_5e-08_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.292 [1.201, 1.391]
β: 0.256 (0.0375)
AUROC: 0.572 [0.55, 0.594] Nagelkerke's Pseudo-R²: 0.013
Brier score: 0.0917
Odds Ratio (OR, top 1% vs. Rest): 1.47 [0.779, 2.77]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_P_5e-08_MGI_20200608
PPM001296 PGS000611
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_P_5e-08_UKB_20200608)
PSS000576|
European Ancestry|
13,530 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.284 [1.211, 1.361]
β: 0.25 (0.0298)
AUROC: 0.567 [0.551, 0.584] Nagelkerke's Pseudo-R²: 0.0114
Brier score: 0.0821
Odds Ratio (OR, top 1% vs. Rest): 2.66 [1.79, 3.93]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_P_5e-08_UKB_20200608
PPM001297 PGS000612
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_PT_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.292 [1.201, 1.391]
β: 0.256 (0.0375)
AUROC: 0.572 [0.55, 0.594] Nagelkerke's Pseudo-R²: 0.013
Brier score: 0.0917
Odds Ratio (OR, top 1% vs. Rest): 1.47 [0.779, 2.77]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_PT_MGI_20200608
PPM001298 PGS000613
(PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_PT_UKB_20200608)
PSS000576|
European Ancestry|
13,530 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.301 [1.227, 1.379]
β: 0.263 (0.0299)
AUROC: 0.571 [0.555, 0.588] Nagelkerke's Pseudo-R²: 0.0125
Brier score: 0.0821
Odds Ratio (OR, top 1% vs. Rest): 2.91 [1.99, 4.24]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_GWAS-Catalog-r2019-05-03-X189.2_PT_UKB_20200608
PPM001299 PGS000614
(PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_PRS-CS_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.087 [1.01, 1.171]
β: 0.0836 (0.0377)
AUROC: 0.525 [0.503, 0.547] Nagelkerke's Pseudo-R²: 0.00135
Brier score: 0.0922
Odds Ratio (OR, top 1% vs. Rest): 0.675 [0.28, 1.62]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_PRS-CS_MGI_20200608
PPM001300 PGS000615
(PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_PT_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.084 [1.007, 1.167]
β: 0.0809 (0.0376)
AUROC: 0.519 [0.498, 0.541] Nagelkerke's Pseudo-R²: 0.00137
Brier score: 0.0922
Odds Ratio (OR, top 1% vs. Rest): 0.788 [0.35, 1.78]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_PT_MGI_20200608
PPM001301 PGS000616
(PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_LASSOSUM_MGI_20200608)
PSS000555|
European Ancestry|
7,622 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of bladder OR: 1.138 [1.057, 1.225]
β: 0.129 (0.0376)
AUROC: 0.538 [0.517, 0.557] Nagelkerke's Pseudo-R²: 0.00345
Brier score: 0.0921
Odds Ratio (OR, top 1% vs. Rest): 0.983 [0.459, 2.11]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE189.2_UKBB-SAIGE-HRC-X189.2_LASSOSUM_MGI_20200608
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)
PPM001652 PGS000722
(PRS_Kidney)
PSS000856|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident kidney cancer AUROC: 0.567 [0.543, 0.591] Genotyping array
PPM001653 PGS000723
(PRS_Bladder)
PSS000853|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident bladder cancer AUROC: 0.583 [0.559, 0.607] Genotyping array
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
PPM001919 PGS000754
(PRS_SLE)
PSS000963|
East Asian Ancestry|
2,589 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.76 [0.74, 0.78]
PPM001920 PGS000754
(PRS_SLE)
PSS000960|
European Ancestry|
1,340 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.65
PPM001921 PGS000754
(PRS_SLE)
PSS000961|
European Ancestry|
7,733 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.65
PPM001922 PGS000754
(PRS_SLE)
PSS000962|
European Ancestry|
1,112 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.62
PPM002076 PGS000754
(PRS_SLE)
PSS001027|
Additional Asian Ancestries|
3,996 individuals
PGP000188 |
Tangtanatakul P et al. Arthritis Res Ther (2020)
|Ext.
Reported Trait: Systemic lupus erythematosus AUROC: 0.76
PPM001996 PGS000771
(GRS95_SLEmain)
PSS000994|
European Ancestry|
524 individuals
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Reported Trait: Renal disease age of onset AUROC: 0.576 [0.518, 0.634] Renal disease is used as a proxy for systemic lupus erythematosus severity
PPM001998 PGS000771
(GRS95_SLEmain)
PSS000994|
European Ancestry|
524 individuals
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Reported Trait: Renal disease age of onset Odds Ratio (OR, top 20% vs bottom 20%): 3.155 [1.623, 6.133] Renal disease is used as a proxy for systemic lupus erythematosus severity
PPM001997 PGS000772
(GRS95_SLEgen)
PSS000993|
European Ancestry|
3,101 individuals
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Reported Trait: Renal disease Odds Ratio (OR, top 20% vs bottom 20%): 1.578 [1.25, 1.991] Renal disease is used as a proxy for systemic lupus erythematosus severity
PPM002053 PGS000782
(CC_Bladder_IV)
PSS001010|
European Ancestry|
391,888 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident blader cancer HR: 1.3 [1.22, 1.39] AUROC: 0.804
C-index: 0.814 (0.008)
: 0.628 Age at assessment, sex, genotyping array, PCs(1-15), cigarette pack-years, smoking status(never vs. former vs. current), body mass index C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002058 PGS000787
(CC_Kidney_IV)
PSS001015|
European Ancestry|
391,610 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident kidney cancer HR: 1.15 [1.07, 1.24] AUROC: 0.722
C-index: 0.723 (0.011)
: 0.366 Age at assessment, sex, genotyping array, PCs(1-15), body mass index, smoking status (never vs. former vs. current), cigarette pack-years, ever diagnosed with hypertension C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002100 PGS000803
(wGRS41_SLE)
PSS001038|
European Ancestry|
47,904 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Lupus (localised and systemic) OR: 1.73 [1.62, 1.85]
β: 0.546 (0.034)
PCs(1-5), median age in the electronic health record, sex
PPM002101 PGS000803
(wGRS41_SLE)
PSS001043|
European Ancestry|
18,722 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Lupus (localised and systemic) OR: 1.82 [1.66, 2.0] PCs(1-5), median age in the electronic health record, sex
PPM002102 PGS000803
(wGRS41_SLE)
PSS001035|
European Ancestry|
47,917 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Systemic lupus erythematosus OR: 1.71 [1.6, 1.82]
β: 0.534 (0.034)
PCs(1-5), median age in the electronic health record, sex
PPM002103 PGS000803
(wGRS41_SLE)
PSS001040|
European Ancestry|
18,698 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Systemic lupus erythematosus OR: 1.86 [1.69, 2.04] PCs(1-5), median age in the electronic health record, sex
PPM002104 PGS000803
(wGRS41_SLE)
PSS001037|
European Ancestry|
50,429 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Erythematous conditions OR: 1.28 [1.22, 1.34]
β: 0.246 (0.024)
PCs(1-5), median age in the electronic health record, sex
PPM002105 PGS000803
(wGRS41_SLE)
PSS001042|
European Ancestry|
21,474 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Erythematous conditions OR: 1.08 [1.04, 1.13] PCs(1-5), median age in the electronic health record, sex
PPM002106 PGS000803
(wGRS41_SLE)
PSS001034|
European Ancestry|
47,321 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Cutaneous lupus erythematosus OR: 1.79 [1.54, 2.08]
β: 0.582 (0.078)
PCs(1-5), median age in the electronic health record, sex
PPM002107 PGS000803
(wGRS41_SLE)
PSS001039|
European Ancestry|
18,422 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Cutaneous lupus erythematosus OR: 2.02 [1.71, 2.4] PCs(1-5), median age in the electronic health record, sex
PPM002108 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes OR: 1.11 [1.06, 1.17]
β: 0.108 (0.024)
PCs(1-5), median age in the electronic health record, sex
PPM002109 PGS000803
(wGRS41_SLE)
PSS001041|
European Ancestry|
19,191 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes OR: 1.11 [1.05, 1.18] PCs(1-5), median age in the electronic health record, sex
PPM002110 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with renal manifestations OR: 1.41 [1.26, 1.59]
β: 0.346 (0.06)
PCs(1-5), median age in the electronic health record, sex
PPM002111 PGS000803
(wGRS41_SLE)
PSS001041|
European Ancestry|
19,191 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with renal manifestations OR: 1.38 [1.19, 1.6] PCs(1-5), median age in the electronic health record, sex
PPM002112 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with opthalmic manifestations OR: 1.32 [1.16, 1.5]
β: 0.275 (0.065)
PCs(1-5), median age in the electronic health record, sex
PPM002113 PGS000803
(wGRS41_SLE)
PSS001041|
European Ancestry|
19,191 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with opthalmic manifestations OR: 1.34 [1.18, 1.52] PCs(1-5), median age in the electronic health record, sex
PPM002114 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with neurological manifestations OR: 1.16 [1.06, 1.28]
β: 0.151 (0.047)
PCs(1-5), median age in the electronic health record, sex
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
PPM008580 PGS001174
(GBE_HC1125)
PSS004139|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.69202 [0.6517, 0.73234] : 0.05473
Incremental AUROC (full-covars): 0.01651
PGS R2 (no covariates): 0.00765
PGS AUROC (no covariates): 0.56963 [0.52438, 0.61487]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008581 PGS001174
(GBE_HC1125)
PSS004140|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.69749 [0.6348, 0.76018] : 0.06838
Incremental AUROC (full-covars): 0.01442
PGS R2 (no covariates): 0.00347
PGS AUROC (no covariates): 0.557 [0.48585, 0.62815]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008582 PGS001174
(GBE_HC1125)
PSS004141|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.66706 [0.6514, 0.68272] : 0.05295
Incremental AUROC (full-covars): 0.04311
PGS R2 (no covariates): 0.02808
PGS AUROC (no covariates): 0.62342 [0.60688, 0.63996]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008583 PGS001174
(GBE_HC1125)
PSS004142|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.68516 [0.65563, 0.7147] : 0.05864
Incremental AUROC (full-covars): 0.01084
PGS R2 (no covariates): 0.00661
PGS AUROC (no covariates): 0.55746 [0.52498, 0.58993]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008584 PGS001174
(GBE_HC1125)
PSS004143|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.67421 [0.66558, 0.68284] : 0.05848
Incremental AUROC (full-covars): 0.04052
PGS R2 (no covariates): 0.02571
PGS AUROC (no covariates): 0.61632 [0.60704, 0.62561]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008759 PGS001250
(GBE_HC1304)
PSS004253|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE calculus of kidney and ureter AUROC: 0.63458 [0.56104, 0.70812] : 0.02267
Incremental AUROC (full-covars): -4e-05
PGS R2 (no covariates): 0.00013
PGS AUROC (no covariates): 0.50619 [0.43811, 0.57426]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008760 PGS001250
(GBE_HC1304)
PSS004254|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE calculus of kidney and ureter AUROC: 0.66992 [0.57144, 0.7684] : 0.05343
Incremental AUROC (full-covars): 0.02085
PGS R2 (no covariates): 0.01881
PGS AUROC (no covariates): 0.61787 [0.49482, 0.74092]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008761 PGS001250
(GBE_HC1304)
PSS004255|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE calculus of kidney and ureter AUROC: 0.6584 [0.63099, 0.68582] : 0.03459
Incremental AUROC (full-covars): 0.00159
PGS R2 (no covariates): 0.00193
PGS AUROC (no covariates): 0.53735 [0.50853, 0.56617]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008762 PGS001250
(GBE_HC1304)
PSS004256|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE calculus of kidney and ureter AUROC: 0.66463 [0.62056, 0.7087] : 0.03629
Incremental AUROC (full-covars): 0.01093
PGS R2 (no covariates): 0.0077
PGS AUROC (no covariates): 0.57305 [0.52667, 0.61943]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008763 PGS001250
(GBE_HC1304)
PSS004257|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE calculus of kidney and ureter AUROC: 0.66491 [0.64839, 0.68143] : 0.03503
Incremental AUROC (full-covars): 0.01494
PGS R2 (no covariates): 0.00592
PGS AUROC (no covariates): 0.56681 [0.54876, 0.58486]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
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
PPM009359 PGS001807
(portability-PLR_189.2)
PSS009277|
European Ancestry|
19,893 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0197 [0.0058, 0.0336] sex, age, birth date, deprivation index, 16 PCs
PPM009360 PGS001807
(portability-PLR_189.2)
PSS009051|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0266 [-0.004, 0.0572] sex, age, birth date, deprivation index, 16 PCs
PPM009361 PGS001807
(portability-PLR_189.2)
PSS008605|
European Ancestry|
6,645 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0169 [-0.0072, 0.041] sex, age, birth date, deprivation index, 16 PCs
PPM009362 PGS001807
(portability-PLR_189.2)
PSS008382|
Greater Middle Eastern Ancestry|
1,195 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0347 [-0.0225, 0.0917] sex, age, birth date, deprivation index, 16 PCs
PPM009363 PGS001807
(portability-PLR_189.2)
PSS008159|
South Asian Ancestry|
6,301 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): -0.0016 [-0.0263, 0.0231] sex, age, birth date, deprivation index, 16 PCs
PPM009365 PGS001807
(portability-PLR_189.2)
PSS007728|
African Ancestry|
2,471 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): -0.0043 [-0.0439, 0.0353] sex, age, birth date, deprivation index, 16 PCs
PPM009366 PGS001807
(portability-PLR_189.2)
PSS008831|
African Ancestry|
3,914 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0359 [0.0045, 0.0673] sex, age, birth date, deprivation index, 16 PCs
PPM009364 PGS001807
(portability-PLR_189.2)
PSS007946|
East Asian Ancestry|
1,803 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0321 [-0.0144, 0.0784] sex, age, birth date, deprivation index, 16 PCs
PPM009777 PGS001861
(portability-PLR_574)
PSS009336|
European Ancestry|
19,908 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0948 [0.081, 0.1085] sex, age, birth date, deprivation index, 16 PCs
PPM009778 PGS001861
(portability-PLR_574)
PSS009110|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0809 [0.0504, 0.1112] sex, age, birth date, deprivation index, 16 PCs
PPM009779 PGS001861
(portability-PLR_574)
PSS008664|
European Ancestry|
6,631 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0769 [0.0529, 0.1008] sex, age, birth date, deprivation index, 16 PCs
PPM009780 PGS001861
(portability-PLR_574)
PSS008438|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0684 [0.0113, 0.1251] sex, age, birth date, deprivation index, 16 PCs
PPM009781 PGS001861
(portability-PLR_574)
PSS008218|
South Asian Ancestry|
6,310 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0422 [0.0175, 0.0668] sex, age, birth date, deprivation index, 16 PCs
PPM009782 PGS001861
(portability-PLR_574)
PSS007999|
East Asian Ancestry|
1,806 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.041 [-0.0054, 0.0872] sex, age, birth date, deprivation index, 16 PCs
PPM009783 PGS001861
(portability-PLR_574)
PSS007783|
African Ancestry|
2,477 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0362 [-0.0033, 0.0757] sex, age, birth date, deprivation index, 16 PCs
PPM009784 PGS001861
(portability-PLR_574)
PSS008887|
African Ancestry|
3,912 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0251 [-0.0063, 0.0565] sex, age, birth date, deprivation index, 16 PCs
PPM009801 PGS001864
(portability-PLR_594)
PSS009339|
European Ancestry|
19,913 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0323 [0.0184, 0.0462] sex, age, birth date, deprivation index, 16 PCs
PPM009802 PGS001864
(portability-PLR_594)
PSS009113|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0291 [-0.0015, 0.0597] sex, age, birth date, deprivation index, 16 PCs
PPM009803 PGS001864
(portability-PLR_594)
PSS008667|
European Ancestry|
6,632 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0503 [0.0263, 0.0743] sex, age, birth date, deprivation index, 16 PCs
PPM009805 PGS001864
(portability-PLR_594)
PSS008221|
South Asian Ancestry|
6,306 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.033 [0.0082, 0.0576] sex, age, birth date, deprivation index, 16 PCs
PPM009806 PGS001864
(portability-PLR_594)
PSS008002|
East Asian Ancestry|
1,803 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0058 [-0.0406, 0.0522] sex, age, birth date, deprivation index, 16 PCs
PPM009807 PGS001864
(portability-PLR_594)
PSS007786|
African Ancestry|
2,475 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.005 [-0.0345, 0.0446] sex, age, birth date, deprivation index, 16 PCs
PPM009808 PGS001864
(portability-PLR_594)
PSS008890|
African Ancestry|
3,912 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0052 [-0.0262, 0.0366] sex, age, birth date, deprivation index, 16 PCs
PPM009804 PGS001864
(portability-PLR_594)
PSS008441|
Greater Middle Eastern Ancestry|
1,192 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0222 [-0.0352, 0.0793] sex, age, birth date, deprivation index, 16 PCs
PPM011010 PGS002017
(portability-ldpred2_189.2)
PSS009277|
European Ancestry|
19,893 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0181 [0.0042, 0.032] sex, age, birth date, deprivation index, 16 PCs
PPM011011 PGS002017
(portability-ldpred2_189.2)
PSS009051|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0333 [0.0026, 0.0638] sex, age, birth date, deprivation index, 16 PCs
PPM011012 PGS002017
(portability-ldpred2_189.2)
PSS008605|
European Ancestry|
6,645 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0144 [-0.0097, 0.0385] sex, age, birth date, deprivation index, 16 PCs
PPM011013 PGS002017
(portability-ldpred2_189.2)
PSS008382|
Greater Middle Eastern Ancestry|
1,195 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0296 [-0.0276, 0.0867] sex, age, birth date, deprivation index, 16 PCs
PPM011014 PGS002017
(portability-ldpred2_189.2)
PSS008159|
South Asian Ancestry|
6,301 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0047 [-0.02, 0.0294] sex, age, birth date, deprivation index, 16 PCs
PPM011015 PGS002017
(portability-ldpred2_189.2)
PSS007946|
East Asian Ancestry|
1,803 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0257 [-0.0208, 0.072] sex, age, birth date, deprivation index, 16 PCs
PPM011017 PGS002017
(portability-ldpred2_189.2)
PSS008831|
African Ancestry|
3,914 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): 0.0257 [-0.0057, 0.0571] sex, age, birth date, deprivation index, 16 PCs
PPM011016 PGS002017
(portability-ldpred2_189.2)
PSS007728|
African Ancestry|
2,471 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cancer of bladder Partial Correlation (partial-r): -0.0071 [-0.0467, 0.0325] sex, age, birth date, deprivation index, 16 PCs
PPM011437 PGS002072
(portability-ldpred2_574)
PSS009336|
European Ancestry|
19,908 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.098 [0.0842, 0.1117] sex, age, birth date, deprivation index, 16 PCs
PPM011439 PGS002072
(portability-ldpred2_574)
PSS008664|
European Ancestry|
6,631 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0805 [0.0565, 0.1044] sex, age, birth date, deprivation index, 16 PCs
PPM011440 PGS002072
(portability-ldpred2_574)
PSS008438|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0663 [0.0092, 0.123] sex, age, birth date, deprivation index, 16 PCs
PPM011441 PGS002072
(portability-ldpred2_574)
PSS008218|
South Asian Ancestry|
6,310 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0503 [0.0256, 0.0749] sex, age, birth date, deprivation index, 16 PCs
PPM011442 PGS002072
(portability-ldpred2_574)
PSS007999|
East Asian Ancestry|
1,806 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0441 [-0.0023, 0.0903] sex, age, birth date, deprivation index, 16 PCs
PPM011443 PGS002072
(portability-ldpred2_574)
PSS007783|
African Ancestry|
2,477 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0336 [-0.0059, 0.0731] sex, age, birth date, deprivation index, 16 PCs
PPM011444 PGS002072
(portability-ldpred2_574)
PSS008887|
African Ancestry|
3,912 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.033 [0.0016, 0.0643] sex, age, birth date, deprivation index, 16 PCs
PPM011438 PGS002072
(portability-ldpred2_574)
PSS009110|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholelithiasis and cholecystitis Partial Correlation (partial-r): 0.0792 [0.0487, 0.1096] sex, age, birth date, deprivation index, 16 PCs
PPM011461 PGS002075
(portability-ldpred2_594)
PSS009339|
European Ancestry|
19,913 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0385 [0.0246, 0.0524] sex, age, birth date, deprivation index, 16 PCs
PPM011462 PGS002075
(portability-ldpred2_594)
PSS009113|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0419 [0.0113, 0.0724] sex, age, birth date, deprivation index, 16 PCs
PPM011463 PGS002075
(portability-ldpred2_594)
PSS008667|
European Ancestry|
6,632 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0543 [0.0303, 0.0783] sex, age, birth date, deprivation index, 16 PCs
PPM011464 PGS002075
(portability-ldpred2_594)
PSS008441|
Greater Middle Eastern Ancestry|
1,192 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0156 [-0.0417, 0.0728] sex, age, birth date, deprivation index, 16 PCs
PPM011465 PGS002075
(portability-ldpred2_594)
PSS008221|
South Asian Ancestry|
6,306 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0401 [0.0154, 0.0648] sex, age, birth date, deprivation index, 16 PCs
PPM011466 PGS002075
(portability-ldpred2_594)
PSS008002|
East Asian Ancestry|
1,803 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0058 [-0.0406, 0.0522] sex, age, birth date, deprivation index, 16 PCs
PPM011468 PGS002075
(portability-ldpred2_594)
PSS008890|
African Ancestry|
3,912 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0125 [-0.0189, 0.0439] sex, age, birth date, deprivation index, 16 PCs
PPM011467 PGS002075
(portability-ldpred2_594)
PSS007786|
African Ancestry|
2,475 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Urinary calculus Partial Correlation (partial-r): 0.0047 [-0.0349, 0.0442] sex, age, birth date, deprivation index, 16 PCs
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
PPM016166 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Urothelial carcinoma HR: 1.27 [1.15, 1.4] Smoking, BMI, education, and physical activity
PPM016167 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Non-aggressive urothelial carcinoma HR: 1.34 [1.18, 1.52] Smoking, BMI, education, and physical activity
PPM016168 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Aggressive urothelial carcinoma HR: 1.19 [1.0, 1.42] Smoking, BMI, education, and physical activity
PPM016169 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Urothelial carcinoma x systolic blood pressure interaction HR: 1.55 [1.14, 2.1] Smoking, BMI, physical activity and level of education
PPM016170 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Non-aggressive urothelial carcinoma x systolic blood pressure interaction HR: 1.59 [1.07, 2.35] Smoking, BMI, physical activity and level of education
PPM016171 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Aggressive urothelial carcinoma x systolic blood pressure interaction HR: 1.72 [1.03, 2.87] Smoking, BMI, physical activity and level of education
PPM016172 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Urothelial carcinoma x diastolic blood pressure interaction HR: 1.45 [1.09, 1.92] Smoking, BMI, physical activity and level of education
PPM016173 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Non-aggressive urothelial carcinoma x diastolic blood pressure interaction HR: 1.54 [1.07, 2.22] Smoking, BMI, physical activity and level of education
PPM016174 PGS003335
(GRS18_BC)
PSS010054|
European Ancestry|
10,576 individuals
PGP000404 |
Teleka S et al. Sci Rep (2022)
Reported Trait: Aggressive urothelial carcinoma x diastolic blood pressure interaction HR: 1.38 [0.82, 2.31] Smoking, BMI, physical activity and level of education
PPM016206 PGS003354
(SSNS-GRS)
PSS010057|
European Ancestry|
597 individuals
PGP000407 |
Downie ML et al. Pediatr Nephrol (2022)
Reported Trait: Non-monogenic idiopathic nephrotic syndrome AUROC: 0.638 [0.543, 0.733]
PPM018492 PGS003736
(PRS13_BlC)
PSS010986|
European Ancestry|
327 individuals
PGP000470 |
Xin J et al. EBioMedicine (2023)
Reported Trait: Bladder cancer OR: 1.14 [1.01, 1.29]
PPM018500 PGS003744
(PRS14_RC)
PSS010994|
European Ancestry|
692 individuals
PGP000470 |
Xin J et al. EBioMedicine (2023)
Reported Trait: Renal cancer OR: 1.24 [1.14, 1.35]
PPM018525 PGS003755
(wGRS_SLE)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Class III/IV lupus nephritis in anti-sm positive systemic lupus erythematosus AUROC: 0.582 [0.496, 0.668]
PPM018519 PGS003755
(wGRS_SLE)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Childhood-onset systemic lupus erythematosus (onset at age <16 years) p: 6.80e-08
PPM018520 PGS003755
(wGRS_SLE)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus β: 0.143 [0.078, 0.208] Onset age, sex, disease duration, and top 4 principal components
PPM018523 PGS003755
(wGRS_SLE)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Renal disorder β: 1.22 [1.12, 1.33] Onset age, sex, disease duration, and top 4 principal components
PPM018524 PGS003755
(wGRS_SLE)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Production of anti-Sm antibody β: 1.23 [1.11, 1.36] Onset age, sex, disease duration, and top 4 principal components
PPM018526 PGS003755
(wGRS_SLE)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Class V lupus nephritis in anti-sm positive systemic lupus erythematosus AUROC: 0.681 [0.602, 0.76]
PPM018521 PGS003756
(wGRS_SLE_non-HLA)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus β: 0.133 [0.071, 0.194] Onset age, sex, disease duration, and top 4 principal components
PPM018522 PGS003757
(wGRS_SLE_HLA)
PSS011006|
East Asian Ancestry|
1,655 individuals
PGP000475 |
Kwon YC et al. Arthritis Rheumatol (2023)
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus β: 0.213 [0.079, 0.347] Onset age, sex, disease duration, and top 4 principal components
PPM019115 PGS003960
(GRS57_SLE)
PSS011186|
Multi-ancestry (including European)|
3,048 individuals
PGP000509 |
Barnado A et al. Arthritis Rheumatol (2023)
Reported Trait: Systemic lupus erythematosus AUROC: 0.65 [0.63, 0.67]
PPM019116 PGS003960
(GRS57_SLE)
PSS011188|
European Ancestry|
1,994 individuals
PGP000509 |
Barnado A et al. Arthritis Rheumatol (2023)
Reported Trait: Systemic lupus erythematosus AUROC: 0.63 [0.6, 0.66]
PPM019117 PGS003960
(GRS57_SLE)
PSS011187|
African Ancestry|
902 individuals
PGP000509 |
Barnado A et al. Arthritis Rheumatol (2023)
Reported Trait: Systemic lupus erythematosus AUROC: 0.5 [0.44, 0.56]
PPM019118 PGS003960
(GRS57_SLE)
PSS011186|
Multi-ancestry (including European)|
3,048 individuals
PGP000509 |
Barnado A et al. Arthritis Rheumatol (2023)
Reported Trait: Systemic lupus erythematosus AUROC: 0.89 [0.87, 0.9] phenotype risk score
PPM019119 PGS003960
(GRS57_SLE)
PSS011188|
European Ancestry|
1,994 individuals
PGP000509 |
Barnado A et al. Arthritis Rheumatol (2023)
Reported Trait: Systemic lupus erythematosus AUROC: 0.87 [0.85, 0.89] phenotype risk score
PPM019120 PGS003960
(GRS57_SLE)
PSS011187|
African Ancestry|
902 individuals
PGP000509 |
Barnado A et al. Arthritis Rheumatol (2023)
Reported Trait: Systemic lupus erythematosus AUROC: 0.89 [0.86, 0.93] phenotype risk score
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
PPM020298 PGS004241
(PRS12_bladder)
PSS011328|
European Ancestry|
133,830 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Bladder cancer HR: 1.41 [1.09, 1.83] first 10 genetic principal components
PPM020308 PGS004241
(PRS12_bladder)
PSS011329|
European Ancestry|
115,207 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Bladder cancer HR: 1.28 [1.12, 1.48] first 10 genetic principal components
PPM020302 PGS004245
(PRS12_kidney)
PSS011328|
European Ancestry|
133,830 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Kidney cancer HR: 1.22 [1.02, 1.45] first 10 genetic principal components
PPM020310 PGS004245
(PRS12_kidney)
PSS011329|
European Ancestry|
115,207 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Kidney cancer HR: 1.25 [1.1, 1.41] first 10 genetic principal components
PPM020591 PGS004476
(disease.K80.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: K80 (Cholelithiasis) OR: 1.21943
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
PPM020608 PGS004493
(disease.N20.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: N20 (Calculus of kidney and ureter) OR: 1.22731
PPM020609 PGS004494
(disease.N39.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: N39 (Other disorders of urinary system) OR: 1.06837
PPM020661 PGS004546
(meta.K80.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: K80 (Cholelithiasis) OR: 1.29862
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
PPM020678 PGS004563
(meta.N20.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: N20 (Calculus of kidney and ureter) OR: 1.28304
PPM020679 PGS004564
(meta.N39.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: N39 (Other disorders of urinary system) OR: 1.10719
PPM020872 PGS004687
(bladder_cancer)
PSS011431|
European Ancestry|
40,771 individuals
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Reported Trait: Bladder cancer AUROC: 0.5582
PPM020875 PGS004690
(kidney_cancer)
PSS011434|
European Ancestry|
40,841 individuals
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Reported Trait: Kidney cancer AUROC: 0.5644
PPM021269 PGS004889
(CKD_gePGS)
PSS011670|
Multi-ancestry (including European)|
11,645 individuals
PGP000619 |
Mandla R et al. Genome Med (2024)
Reported Trait: Incident chronic kidney disease cases with diabetes HR: 1.33 [1.18, 1.5] C-index: 0.727 first 10 ancestry PCs, age, sex, diagnosis history, systolic blood pressure, diastolic blood pressure, weight and HTN diagnosis combined ino a clinical risk score
PPM021267 PGS004889
(CKD_gePGS)
PSS011670|
Multi-ancestry (including European)|
11,645 individuals
PGP000619 |
Mandla R et al. Genome Med (2024)
Reported Trait: Incident chronic kidney disease cases without diabetes HR: 1.3 [1.18, 1.44] C-index: 0.78 first 10 ancestry PCs, age, sex, diagnosis history, systolic blood pressure, diastolic blood pressure, weight and HTN diagnosis combined into a clinical risk score
PPM021361 PGS004908
(PRS107_KC)
PSS011702|
European Ancestry|
324,805 individuals
PGP000640 |
Purdue MP et al. Nat Genet (2024)
Reported Trait: Kidney cancer OR: 1.5 [1.43, 1.58] AUROC: 0.74 [0.72, 0.75] Age, sex, PCs, BMI, smoking, hypertension
PPM021362 PGS004908
(PRS107_KC)
PSS011702|
European Ancestry|
324,805 individuals
PGP000640 |
Purdue MP et al. Nat Genet (2024)
Reported Trait: Clear cell renal cell carcinoma OR: 1.69 [1.57, 1.81] AUROC: 0.74 [0.72, 0.76] Age, sex, PCs, BMI, smoking, hypertension

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
PSS008664 6,631 individuals European Italy (South Europe) UKB
PSS011431
[
  • 257 cases
  • , 40,514 controls
]
European UKB
PSS008667 6,632 individuals European Italy (South Europe) UKB
PSS011434
[
  • 158 cases
  • , 40,683 controls
]
European UKB
PSS008159 6,301 individuals South Asian India (South Asia) UKB
PSS011702
[
  • 1,696 cases
  • , 323,109 controls
]
European UKB
PSS011216
[
  • 4,224 cases
  • , 195,050 controls
]
European EB
PSS000993 All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease
[
  • 1,152 cases
  • , 1,949 controls
]
European NR
PSS000994 All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease
[
  • 146 cases
  • , 378 controls
]
European NR Cases and controls obtained by SLEGEN.
PSS011228 N14_CHRONKIDNEYDIS, ICD10: N18, ICD9: 585, include dialysis (ICD10 Z992|Y841)
[
  • 9,314 cases
  • , 374,529 controls
]
European FinnGen
PSS008218 6,310 individuals South Asian India (South Asia) UKB
PSS011075 11,813 individuals,
45.8 % Male samples
Mean = 75.0 years
Sd = 4.2 years
European ASPREE
PSS008221 6,306 individuals South Asian India (South Asia) UKB
PSS004248
[
  • 323 cases
  • , 6,174 controls
]
African unspecified UKB
PSS004249
[
  • 26 cases
  • , 1,678 controls
]
East Asian UKB
PSS004250
[
  • 610 cases
  • , 24,295 controls
]
European non-white British ancestry UKB
PSS004251
[
  • 416 cases
  • , 7,415 controls
]
South Asian UKB
PSS004252
[
  • 2,373 cases
  • , 65,052 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004253
[
  • 56 cases
  • , 6,441 controls
]
African unspecified UKB
PSS004254
[
  • 25 cases
  • , 1,679 controls
]
East Asian UKB
PSS004255
[
  • 384 cases
  • , 24,521 controls
]
European non-white British ancestry UKB
PSS000436 The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE). Control individuals were healthy blood donors from Uppsala (Uppsala Bioresource) and Lund or population based controls from Stockholm and the four northernmost counties of Sweden.
[
  • 1,001 cases
  • , 2,802 controls
]
European Karolinska, UHU The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden
PSS000437 The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE).
[
  • 1,001 cases
  • , 0 controls
]
European Karolinska, UHU The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden
PSS000438
[
  • 5,524 cases
  • , 9,859 controls
]
European NR The replication cohort is described in Langefeld et al. (PMID:28714469)
PSS004256
[
  • 146 cases
  • , 7,685 controls
]
South Asian UKB
PSS004257
[
  • 989 cases
  • , 66,436 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS011239
[
  • 1,131 cases
  • , 42,926 controls
]
South Asian G&H
PSS007728 2,471 individuals African American or Afro-Caribbean Carribean UKB
PSS011255
[
  • 2,802 cases
  • , 64,063 controls
]
European HUNT
PSS009277 19,893 individuals European UK (+ Ireland) UKB
PSS000804 ICD-10 Z992|Y841
[
  • 595 cases
  • , 134,705 controls
]
European
(Finnish)
FinnGen
PSS011269
[
  • 3,374 cases
  • , 86,900 controls
]
European UKB
PSS011283
[
  • 478 cases
  • , 8,848 controls
]
South Asian UKB
PSS010054
[
  • 385 cases
  • , 10,191 controls
]
,
100.0 % Male samples
Mean = 59.0 years European MDC
PSS000823 87,413 individuals European UKB
PSS010057 597 individuals European NR BRIDGE
PSS000829 ICD-10 N17
[
  • 3,058 cases
  • , 132,242 controls
]
European
(Finnish)
FinnGen
PSS007783 2,477 individuals African American or Afro-Caribbean Carribean UKB
PSS007786 2,475 individuals African American or Afro-Caribbean Carribean UKB
PSS000318 Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 8.0 years
[
  • 62 cases
  • , 183 controls
]
,
32.0 % Male samples
European PHB
PSS000319 Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 7.0 years
[
  • 7 cases
  • , 236 controls
]
,
32.0 % Male samples
European PHB
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%
PSS009336 19,908 individuals European UK (+ Ireland) UKB
PSS000324 Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases Median = 16.0 years
[
  • 133 cases
  • , 1,078 controls
]
,
43.0 % Male samples
European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE
PSS009339 19,913 individuals European UK (+ Ireland) UKB
PSS008831 3,914 individuals African unspecified Nigeria (West Africa) UKB
PSS000853 Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Bladder cancer =(ICD-9 = 188 or ICD-10 = C67). Median = 5.8 years
[
  • 513 cases
  • , 400,299 controls
]
,
46.5 % Male samples
European UKB
PSS000489 The diagnosttic criteria for each disease was based on gold-standard clinical guidelines. 339 individuals European
(Spanish)
PRECISESADS
PSS000856 Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Kidney Cancer=(ICD-9 = 189.0 or ICD-10 = C64) Median = 5.8 years
[
  • 545 cases
  • , 400,267 controls
]
,
46.5 % Male samples
European UKB
PSS009939 39,444 individuals European
(Finnish)
FinnGen
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
PSS001010 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases.
[
  • 890 cases
  • , 390,998 controls
]
European UKB
PSS008887 3,912 individuals African unspecified Nigeria (West Africa) UKB
PSS001015 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases.
[
  • 612 cases
  • , 390,998 controls
]
European UKB
PSS008890 3,912 individuals African unspecified Nigeria (West Africa) UKB
PSS008382 1,195 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS000555 PheCode:189.2; ICD9CM:188.0, 188.1, 188.2, 188.3, 188.4, 188.5, 188.6, 188.7, 188.8, 188.9, 233.7, 236.7, 239.4, V10.51; ICD10CM:C67, C67.0, C67.1, C67.2, C67.3, C67.4, C67.5, C67.6, C67.7, C67.8, C67.9, D09.0, D41.4, D49.4
[
  • 789 cases
  • , 6,833 controls
]
European MGI
PSS001027 Cases were individuals with systemic lupus erythematosus (SLE). All cases were carefully recruited regarding the criteria from the American College of Rheumatology (ACR). Controls included healthy individuals and individuals who had unrelated diseases including: breast cancer, periodontitis, tuberculosis, drug-induced liver injury, epileptic encephalopathy, dengue hemorrhagic fever, thalassemia, and cardiomyopathy.
[
  • 826 cases
  • , 3,170 controls
]
,
40.31 % Male samples
South East Asian
(Thai)
NR Cases were recruited from King Chulalongkorn Memorial Hospital and the Rheumatology clinic at Ramathbodi hospital. Control data was provided by the Department of Medical Science, Min- istry of Public Health, Thailand.
PSS011328 133,830 individuals,
0.0 % Male samples
European
(British)
UKB
PSS011329 115,207 individuals,
100.0 % Male samples
European
(British)
UKB
PSS000575 PheCode:189.11; ICD9:189.0; ICD10:C64
[
  • 529 cases
  • , 5,289 controls
]
European UKB
PSS000576 PheCode:189.2; ICD9:233.7, 236.7, 239.4; ICD10:C67.0, C67.1, C67.2, C67.3, C67.4, C67.5, C67.6, C67.7, C67.8, C67.9, D09.0, D41.4
[
  • 1,229 cases
  • , 12,301 controls
]
European UKB
PSS001034 Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 161 cases
  • , 47,160 controls
]
European BioVU
PSS001035 Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 880 cases
  • , 47,037 controls
]
European BioVU
PSS001036 Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of all the type 1 diabetes cases, 276 had renal manifestations, 240 had ophthalmic manifestations and 475 had neurological manifestations
[
  • 1,881 cases
  • , 38,647 controls
]
European BioVU
PSS001037 Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 1,916 cases
  • , 48,513 controls
]
European BioVU
PSS008438 1,197 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS001038 Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 867 cases
  • , 47,037 controls
]
European BioVU
PSS001040 Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 393 cases
  • , 18,305 controls
]
European eMERGE
PSS001039 Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 120 cases
  • , 18,302 controls
]
European eMERGE
PSS001042 Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 3,029 cases
  • , 18,445 controls
]
European eMERGE
PSS001043 Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits.For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record.Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 418 cases
  • , 18,304 controls
]
European eMERGE
PSS001041 Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of the type 1 diabetes cases 165 had renal manifestations, 230 had ophthalmic manifestations and 218 had neurological manifestations.
[
  • 1,156 cases
  • , 18,035 controls
]
European eMERGE
PSS008441 1,192 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS011186
[
  • 615 cases
  • , 1,379 controls
]
European BioVU
PSS011186
[
  • 134 cases
  • , 768 controls
]
African unspecified BioVU
PSS011186
[
  • 15 cases
  • , 45 controls
]
Asian unspecified BioVU
PSS007946 1,803 individuals East Asian China (East Asia) UKB
PSS011186
[
  • 23 cases
  • , 67 controls
]
Not reported BioVU
PSS011188
[
  • 615 cases
  • , 1,379 controls
]
European BioVU
PSS011187
[
  • 134 cases
  • , 768 controls
]
African unspecified BioVU
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
PSS010143
[
  • 31 cases
  • , 393 controls
]
European UKB
PSS010145
[
  • 28 cases
  • , 519 controls
]
European UKB
PSS011364 56,192 individuals European UKB
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
PSS007999 1,806 individuals East Asian China (East Asia) UKB
PSS008002 1,803 individuals East Asian China (East Asia) UKB
PSS010986 327 individuals Mean = 69.11 years European TCGA
PSS010994 692 individuals Mean = 60.99 years European TCGA
PSS009051 4,121 individuals European Poland (NE Europe) UKB
PSS000960 Cases were individuals with systemic lupus erythematosus.
[
  • 910 cases
  • , 430 controls
]
European NR
PSS000961 Cases were individuals with systemic lupus erythematosus.
[
  • 2,354 cases
  • , 5,379 controls
]
European NR
PSS000962 Cases were individuals with systemic lupus erythematosus.
[
  • 406 cases
  • , 706 controls
]
European NR
PSS000963 Cases were individuals with systemic lupus erythematosus.
[
  • 1,604 cases
  • , 985 controls
]
East Asian
(Han Chinese)
NR
PSS011006 1,655 individuals,
8.4 % Male samples
Mean = 38.1 years
Sd = 12.5 years
East Asian
(Korean)
NR
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
PSS011670 Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome Median = 13.9 years 10,041 individuals,
44.8 % Male samples
Mean = 60.8 years European MGBB
PSS011670 Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome Median = 13.9 years 754 individuals,
44.8 % Male samples
Mean = 60.8 years Hispanic or Latin American MGBB
PSS000272 Primary tumor samples from TCGA
[
  • 343 cases
  • , 0 controls
]
Mean = 69.0 years
Sd = 10.0 years
European TCGA
PSS000272
[
  • 0 cases
  • , 13,427 controls
]
European eMERGE
PSS011670 Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome Median = 13.9 years 181 individuals,
44.8 % Male samples
Mean = 60.8 years East Asian MGBB
PSS009110 4,121 individuals European Poland (NE Europe) UKB
PSS011670 Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome Median = 13.9 years 343 individuals,
44.8 % Male samples
Mean = 60.8 years African unspecified MGBB
PSS011670 Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome Median = 13.9 years 83 individuals,
44.8 % Male samples
Mean = 60.8 years South Asian MGBB
PSS009113 4,121 individuals European Poland (NE Europe) UKB
PSS011670 Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome Median = 13.9 years 87 individuals,
44.8 % Male samples
Mean = 60.8 years Greater Middle Eastern (Middle Eastern, North African or Persian) MGBB
PSS011670 Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome Median = 13.9 years 156 individuals,
44.8 % Male samples
Mean = 60.8 years Not reported MGBB
PSS008605 6,645 individuals European Italy (South Europe) UKB
PSS000281 Primary tumor samples from TCGA
[
  • 453 cases
  • , 0 controls
]
Mean = 62.0 years
Sd = 12.0 years
European TCGA
PSS000281
[
  • 0 cases
  • , 13,427 controls
]
European eMERGE
PSS004139
[
  • 158 cases
  • , 6,339 controls
]
African unspecified UKB
PSS004140
[
  • 65 cases
  • , 1,639 controls
]
East Asian UKB
PSS004141
[
  • 1,175 cases
  • , 23,730 controls
]
European non-white British ancestry UKB
PSS004142
[
  • 312 cases
  • , 7,519 controls
]
South Asian UKB
PSS004143
[
  • 3,753 cases
  • , 63,672 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS000110 Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 29010
[
  • 2,248 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European GERA, UKB
PSS000115 Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 29020
[
  • 1,341 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European GERA, UKB