Trait: glomerular filtration rate

Experimental Factor Ontology (EFO) Information
Identifier EFO_0005208
Description measurement of the flow rate of filtered fluid through the kidney, calculated either by comparative measurements of substances in the blood and urine, or estimated from a blood test
Trait category
Other measurement
Synonym GFR
Mapped terms 4 mapped terms
  • MeSH:D005919
  • MedDRA:10018355
  • NCIt:C90505
  • SNOMEDCT:80274001
Child trait(s) GFR change measurement

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 "glomerular filtration rate" 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 Scoring File (FTP Link)
PGS000303
(GRS253_eGFR)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Estimated glomerular filtration rate glomerular filtration rate 253
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000303/ScoringFiles/PGS000303.txt.gz
PGS000664
(GRS7_GFR)
 PGP000124 |
Gorski M et al. Kidney Int (2020)
 Rapid decline of glomerular filtration rate (GFR) GFR change measurement 7
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000664/ScoringFiles/PGS000664.txt.gz
PGS000682
(snpnet.eGFR)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 eGFR [ml/min/1.73m2] glomerular filtration rate 17,467
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000682/ScoringFiles/PGS000682.txt.gz - Check Terms/Licenses
PGS000860
(eGFR)
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Estimated glomerular filtration rate glomerular filtration rate 625
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000860/ScoringFiles/PGS000860.txt.gz
PGS000883
(eGFR_LDpredPRS)
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Estimated glomerular filtration rate glomerular filtration rate 1,477,661
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000883/ScoringFiles/PGS000883.txt.gz
PGS000884
(eGFR_PTPRS)
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Estimated glomerular filtration rate glomerular filtration rate 40,042
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000884/ScoringFiles/PGS000884.txt.gz
PGS000885
(eGFR_TOPSNPPRS)
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Estimated glomerular filtration rate glomerular filtration rate 1,460
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000885/ScoringFiles/PGS000885.txt.gz
PGS002810
(GRS147_eGFR)
 PGP000390 |
Wuttke M et al. Nat Genet (2019)
 Estimated glomerular filtration rate glomerular filtration rate 147
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002810/ScoringFiles/PGS002810.txt.gz
PGS003219
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 443,281
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003219/ScoringFiles/PGS003219.txt.gz
PGS003220
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 2,439
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003220/ScoringFiles/PGS003220.txt.gz
PGS003221
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 2,491
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003221/ScoringFiles/PGS003221.txt.gz
PGS003222
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 4,656,243
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003222/ScoringFiles/PGS003222.txt.gz
PGS003223
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 1,117,334
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003223/ScoringFiles/PGS003223.txt.gz
PGS003224
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 456,946
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003224/ScoringFiles/PGS003224.txt.gz
PGS003225
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 2,092
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003225/ScoringFiles/PGS003225.txt.gz
PGS003226
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 2,127
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003226/ScoringFiles/PGS003226.txt.gz
PGS003227
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 4,728,961
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003227/ScoringFiles/PGS003227.txt.gz
PGS003228
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate glomerular filtration rate 1,118,118
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003228/ScoringFiles/PGS003228.txt.gz
PGS003249
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 202,159
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003249/ScoringFiles/PGS003249.txt.gz
PGS003250
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 108
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003250/ScoringFiles/PGS003250.txt.gz
PGS003251
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 108
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003251/ScoringFiles/PGS003251.txt.gz
PGS003252
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 59,729
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003252/ScoringFiles/PGS003252.txt.gz
PGS003253
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 1,109,085
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003253/ScoringFiles/PGS003253.txt.gz
PGS003254
(ExPRSweb_Creatine_eGFRcrea-overall-EA_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 2,986
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003254/ScoringFiles/PGS003254.txt.gz
PGS003255
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 352
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003255/ScoringFiles/PGS003255.txt.gz
PGS003256
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 641
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003256/ScoringFiles/PGS003256.txt.gz
PGS003257
(ExPRSweb_Creatine_eGFRcrea-overall-EA_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 3,145
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003257/ScoringFiles/PGS003257.txt.gz
PGS003258
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 16,682
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003258/ScoringFiles/PGS003258.txt.gz
PGS003259
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 87,064
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003259/ScoringFiles/PGS003259.txt.gz
PGS003260
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 234
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003260/ScoringFiles/PGS003260.txt.gz
PGS003261
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 234
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003261/ScoringFiles/PGS003261.txt.gz
PGS003262
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 1,005,540
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003262/ScoringFiles/PGS003262.txt.gz
PGS003263
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 932,548
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003263/ScoringFiles/PGS003263.txt.gz
PGS003264
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 214,280
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003264/ScoringFiles/PGS003264.txt.gz
PGS003265
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 176
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003265/ScoringFiles/PGS003265.txt.gz
PGS003266
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 176
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003266/ScoringFiles/PGS003266.txt.gz
PGS003267
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 22,376
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003267/ScoringFiles/PGS003267.txt.gz
PGS003268
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 1,109,812
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003268/ScoringFiles/PGS003268.txt.gz
PGS003269
(ExPRSweb_Creatine_eGFRcrea-overall-EA_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 2,989
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003269/ScoringFiles/PGS003269.txt.gz
PGS003270
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 314
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003270/ScoringFiles/PGS003270.txt.gz
PGS003271
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 600
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003271/ScoringFiles/PGS003271.txt.gz
PGS003272
(ExPRSweb_Creatine_eGFRcrea-overall-EA_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 2,305
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003272/ScoringFiles/PGS003272.txt.gz
PGS003273
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 16,686
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003273/ScoringFiles/PGS003273.txt.gz
PGS003274
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 87,693
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003274/ScoringFiles/PGS003274.txt.gz
PGS003275
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 458
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003275/ScoringFiles/PGS003275.txt.gz
PGS003276
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 458
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003276/ScoringFiles/PGS003276.txt.gz
PGS003277
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 963,494
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003277/ScoringFiles/PGS003277.txt.gz
PGS003278
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Creatine) glomerular filtration rate,
creatine measurement		 932,878
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003278/ScoringFiles/PGS003278.txt.gz
PGS003289
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 162,595
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003289/ScoringFiles/PGS003289.txt.gz
PGS003290
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 48
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003290/ScoringFiles/PGS003290.txt.gz
PGS003291
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 49
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003291/ScoringFiles/PGS003291.txt.gz
PGS003292
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 88,980
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003292/ScoringFiles/PGS003292.txt.gz
PGS003293
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 1,114,109
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003293/ScoringFiles/PGS003293.txt.gz
PGS003294
(ExPRSweb_CysC_eGFRcys-overall-EA_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 1,954
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003294/ScoringFiles/PGS003294.txt.gz
PGS003295
(ExPRSweb_CysC_eGFRcys-overall-EA_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 42
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003295/ScoringFiles/PGS003295.txt.gz
PGS003296
(ExPRSweb_CysC_eGFRcys-overall-EA_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 87
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003296/ScoringFiles/PGS003296.txt.gz
PGS003297
(ExPRSweb_CysC_eGFRcys-overall-EA_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 7,372
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003297/ScoringFiles/PGS003297.txt.gz
PGS003298
(ExPRSweb_CysC_eGFRcys-overall-EA_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 16,681
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003298/ScoringFiles/PGS003298.txt.gz
PGS003299
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 62,133
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003299/ScoringFiles/PGS003299.txt.gz
PGS003300
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 203
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003300/ScoringFiles/PGS003300.txt.gz
PGS003301
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 204
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003301/ScoringFiles/PGS003301.txt.gz
PGS003302
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 695,827
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003302/ScoringFiles/PGS003302.txt.gz
PGS003303
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 933,013
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003303/ScoringFiles/PGS003303.txt.gz
PGS003304
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 174,315
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003304/ScoringFiles/PGS003304.txt.gz
PGS003305
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 15
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003305/ScoringFiles/PGS003305.txt.gz
PGS003306
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 15
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003306/ScoringFiles/PGS003306.txt.gz
PGS003307
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 11,672
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003307/ScoringFiles/PGS003307.txt.gz
PGS003308
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 1,114,999
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003308/ScoringFiles/PGS003308.txt.gz
PGS003309
(ExPRSweb_CysC_eGFRcys-overall-EA_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 1,954
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003309/ScoringFiles/PGS003309.txt.gz
PGS003310
(ExPRSweb_CysC_eGFRcys-overall-EA_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 6
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003310/ScoringFiles/PGS003310.txt.gz
PGS003311
(ExPRSweb_CysC_eGFRcys-overall-EA_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 7
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003311/ScoringFiles/PGS003311.txt.gz
PGS003312
(ExPRSweb_CysC_eGFRcys-overall-EA_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 6,375
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003312/ScoringFiles/PGS003312.txt.gz
PGS003313
(ExPRSweb_CysC_eGFRcys-overall-EA_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 16,685
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003313/ScoringFiles/PGS003313.txt.gz
PGS003314
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 62,626
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003314/ScoringFiles/PGS003314.txt.gz
PGS003315
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 2
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003315/ScoringFiles/PGS003315.txt.gz
PGS003316
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 2
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003316/ScoringFiles/PGS003316.txt.gz
PGS003317
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 594,334
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003317/ScoringFiles/PGS003317.txt.gz
PGS003318
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 estimated glomerular filtration rate (Cystatin C) cystatin C measurement,
glomerular filtration rate		 933,341
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003318/ScoringFiles/PGS003318.txt.gz
PGS003377
(eGFRldpred_PGS)
 PGP000411 |
Steinbrenner I et al. Kidney Int (2022)
 Estimated glomerular filtration rate glomerular filtration rate 1,496,254
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003377/ScoringFiles/PGS003377.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
PPM000773 PGS000303
(GRS253_eGFR)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Estimated glomerular filtration rate (mL/min per 1.73 m2) — — R²: 0.0504 Sex, age —
PPM016131 PGS000664
(GRS7_GFR)
 PSS010042|
European Ancestry|
1,601 individuals
 PGP000396 |
Koraishy FM et al. BMC Nephrol (2022)
|Ext.		 Reported Trait: Baseline eGFR β: -1.0 [-1.59, -0.41] — — Age, gender, education, the first ten genetic principal components, exposure severity —
PPM001371 PGS000664
(GRS7_GFR)
 PSS000600|
European Ancestry|
11,440 individuals
 PGP000124 |
Gorski M et al. Kidney Int (2020)
 Reported Trait: Rapid decline of glomerular filtration rate estimated from creatinine (CKDi25) — — Odds Ratio (OR, high vs. low risk): 1.29 [1.06, 1.57] Age, sex and baseline eGFRcrea —
PPM001372 PGS000664
(GRS7_GFR)
 PSS000599|
European Ancestry|
3,447 individuals
 PGP000124 |
Gorski M et al. Kidney Int (2020)
 Reported Trait: Acute kidney injury — — Odds Ratio (OR, high vs. low risk): 1.2 [1.08, 1.33] Matching variables (age-group and sex), quantitative age —
PPM016132 PGS000664
(GRS7_GFR)
 PSS010042|
European Ancestry|
1,601 individuals
 PGP000396 |
Koraishy FM et al. BMC Nephrol (2022)
|Ext.		 Reported Trait: Chronic kidney disease stage OR: 1.18 [1.05, 1.32] — — Age, gender, education, the first ten genetic principal components, exposure severity —
PPM016133 PGS000664
(GRS7_GFR)
 PSS010042|
European Ancestry|
1,601 individuals
 PGP000396 |
Koraishy FM et al. BMC Nephrol (2022)
|Ext.		 Reported Trait: eGFR Decline (<= -1.00 ml/min/1.73m2/year) OR: 1.14 [1.01, 1.28] — — Age, gender, education, the first ten genetic principal components, exposure severity —
PPM001410 PGS000682
(snpnet.eGFR)
 PSS000805|
African Ancestry|
6,016 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: eGFR [ml/min/1.73m2] — — R²: 0.17769
Spearman's ρ: 0.138		 Age, sex, PCs(1-40) —
PPM001445 PGS000682
(snpnet.eGFR)
 PSS000806|
East Asian Ancestry|
1,081 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: eGFR [ml/min/1.73m2] — — R²: 0.21054
Spearman's ρ: 0.199		 Age, sex, PCs(1-40) —
PPM001480 PGS000682
(snpnet.eGFR)
 PSS000807|
European Ancestry|
23,576 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: eGFR [ml/min/1.73m2] — — R²: 0.25538
Spearman's ρ: 0.299		 Age, sex, PCs(1-40) —
PPM001515 PGS000682
(snpnet.eGFR)
 PSS000808|
South Asian Ancestry|
7,339 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: eGFR [ml/min/1.73m2] — — R²: 0.23182
Spearman's ρ: 0.252		 Age, sex, PCs(1-40) —
PPM001550 PGS000682
(snpnet.eGFR)
 PSS000809|
European Ancestry|
63,758 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: eGFR [ml/min/1.73m2] — — R²: 0.24611
Spearman's ρ: 0.313		 Age, sex, PCs(1-40) —
PPM001592 PGS000682
(snpnet.eGFR)
 PSS000810|
European Ancestry|
2,129 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: eGFR [ml/min/1.73m2] — — Spearman's ρ: 0.219 Age, sex —
PPM007335 PGS000682
(snpnet.eGFR)
 PSS006911|
African Ancestry|
6,016 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: eGFR — — R²: 0.01637 [0.01025, 0.02249]
Incremental R2 (full-covars): 0.01318
PGS R2 (no covariates): 0.01368 [0.00807, 0.01929]		 age, sex, UKB array type, Genotype PCs —
PPM007336 PGS000682
(snpnet.eGFR)
 PSS006912|
East Asian Ancestry|
1,578 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: eGFR — — R²: 0.03595 [0.01863, 0.05327]
Incremental R2 (full-covars): 0.01715
PGS R2 (no covariates): 0.0203 [0.00707, 0.03352]		 age, sex, UKB array type, Genotype PCs —
PPM007337 PGS000682
(snpnet.eGFR)
 PSS006913|
European Ancestry|
23,574 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: eGFR — — R²: 0.06443 [0.05853, 0.07033]
Incremental R2 (full-covars): 0.06277
PGS R2 (no covariates): 0.06321 [0.05736, 0.06906]		 age, sex, UKB array type, Genotype PCs —
PPM007338 PGS000682
(snpnet.eGFR)
 PSS006914|
South Asian Ancestry|
7,288 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: eGFR — — R²: 0.03876 [0.03038, 0.04714]
Incremental R2 (full-covars): 0.03269
PGS R2 (no covariates): 0.03296 [0.02519, 0.04073]		 age, sex, UKB array type, Genotype PCs —
PPM007339 PGS000682
(snpnet.eGFR)
 PSS006915|
European Ancestry|
63,753 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: eGFR — — R²: 0.07514 [0.07131, 0.07897]
Incremental R2 (full-covars): 0.07513
PGS R2 (no covariates): 0.07525 [0.07142, 0.07908]		 age, sex, UKB array type, Genotype PCs —
PPM002383 PGS000860
(eGFR)
 PSS001086|
European Ancestry|
3,194 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Autoimmune Diabetes OR: 1.04 [0.94, 1.15] — — PC1-10 —
PPM002384 PGS000860
(eGFR)
 PSS001087|
European Ancestry|
3,930 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.02 [0.96, 1.1] — — PC1-10 —
PPM002386 PGS000860
(eGFR)
 PSS001085|
European Ancestry|
4,116 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Obesity-related Diabetes OR: 1.03 [0.96, 1.1] — — PC1-10 —
PPM002387 PGS000860
(eGFR)
 PSS001084|
European Ancestry|
5,597 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Age-Related Diabetes OR: 1.07 [1.02, 1.13] — — PC1-10 —
PPM002385 PGS000860
(eGFR)
 PSS001088|
European Ancestry|
3,869 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.11] — — PC1-10 —
PPM002529 PGS000883
(eGFR_LDpredPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident end stage kidney disease HR: 1.24 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002531 PGS000883
(eGFR_LDpredPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident acute kidney injury HR: 1.05 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002532 PGS000883
(eGFR_LDpredPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Estimated glomerular filtration rate (eGFR) — — R²: 0.0713 age at baseline, sex, center, first 10 genetic principal components —
PPM002528 PGS000883
(eGFR_LDpredPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident chronic kidney disease HR: 1.32 AUROC: 0.677 — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002530 PGS000883
(eGFR_LDpredPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident kidney failure HR: 1.17 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002533 PGS000884
(eGFR_PTPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident chronic kidney disease HR: 1.3 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002534 PGS000884
(eGFR_PTPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident end stage kidney disease HR: 1.28 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002535 PGS000884
(eGFR_PTPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident kidney failure HR: 1.2 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002536 PGS000884
(eGFR_PTPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident acute kidney injury HR: 1.04 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002537 PGS000884
(eGFR_PTPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Estimated glomerular filtration rate (eGFR) — — R²: 0.0599 age at baseline, sex, center, first 10 genetic principal components —
PPM002538 PGS000885
(eGFR_TOPSNPPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident chronic kidney disease HR: 1.25 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002539 PGS000885
(eGFR_TOPSNPPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident end stage kidney disease HR: 1.12 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002540 PGS000885
(eGFR_TOPSNPPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident kidney failure HR: 1.13 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002541 PGS000885
(eGFR_TOPSNPPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Incident acute kidney injury HR: 1.0 — — age at baseline, sex, center, first 10 genetic principal components, education, baseline body mass index, baseline smoking status, baseline history of hypertension, diabetes, and coronary heart disease —
PPM002542 PGS000885
(eGFR_TOPSNPPRS)
 PSS001143|
European Ancestry|
8,886 individuals
 PGP000229 |
Yu Z et al. J Am Soc Nephrol (2021)
 Reported Trait: Estimated glomerular filtration rate (eGFR) — — R²: 0.0478 age at baseline, sex, center, first 10 genetic principal components —
PPM015582 PGS002810
(GRS147_eGFR)
 PSS009991|
European Ancestry|
452,264 individuals
 PGP000390 |
Wuttke M et al. Nat Genet (2019)
 Reported Trait: Chronic renal failure — — Odds ratio (OR, 10% lower vs higher): 2.13 [1.9, 2.39] — —
PPM015583 PGS002810
(GRS147_eGFR)
 PSS009991|
European Ancestry|
452,264 individuals
 PGP000390 |
Wuttke M et al. Nat Genet (2019)
 Reported Trait: Urolithiasis — — Odds ratio (OR, 10% lower vs higher): 0.75 [0.69, 0.83] — —
PPM015584 PGS002810
(GRS147_eGFR)
 PSS009991|
European Ancestry|
452,264 individuals
 PGP000390 |
Wuttke M et al. Nat Genet (2019)
 Reported Trait: Hypertensive diseases — — Odds ratio (OR, 10% lower vs higher): 1.07 [1.04, 1.1] — —
PPM015585 PGS002810
(GRS147_eGFR)
 PSS009991|
European Ancestry|
452,264 individuals
 PGP000390 |
Wuttke M et al. Nat Genet (2019)
 Reported Trait: Ischemic heart disease — — Odds ratio (OR, 10% lower vs higher): 0.96 [0.92, 1.0] — —
PPM015580 PGS002810
(GRS147_eGFR)
 PSS009991|
European Ancestry|
452,264 individuals
 PGP000390 |
Wuttke M et al. Nat Genet (2019)
 Reported Trait: Acute renal failure — — Odds ratio (OR, 10% lower vs higher): 1.3 [1.16, 1.47] — —
PPM015581 PGS002810
(GRS147_eGFR)
 PSS009991|
European Ancestry|
452,264 individuals
 PGP000390 |
Wuttke M et al. Nat Genet (2019)
 Reported Trait: Glomerular disease — — Odds ratio (OR, 10% lower vs higher): 1.45 [1.22, 1.71] — —
PPM016109 PGS003219
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_LASSOSUM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 3.23 (0.126) — R²: 0.0169 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016115 PGS003220
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PT_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 2.62 (0.126) — R²: 0.0121 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016111 PGS003221
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PLINK_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 2.63 (0.126) — R²: 0.0121 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016107 PGS003222
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_DBSLMM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 2.75 (0.126) — R²: 0.0121 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016113 PGS003223
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PRSCS_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 3.31 (0.127) — R²: 0.018 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016110 PGS003224
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_LASSOSUM_UKB_20211120)
 PSS010037|
European Ancestry|
195,023 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 3.46 (0.0254) — R²: 0.0688 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM016116 PGS003225
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PT_UKB_20211120)
 PSS010037|
European Ancestry|
195,023 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 2.99 (0.0257) — R²: 0.0513 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM016112 PGS003226
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PLINK_UKB_20211120)
 PSS010037|
European Ancestry|
195,023 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 2.98 (0.0257) — R²: 0.051 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM016108 PGS003227
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_DBSLMM_UKB_20211120)
 PSS010037|
European Ancestry|
195,023 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 3.15 (0.0256) — R²: 0.0565 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM016114 PGS003228
(ExPRSweb_eGFR_20171017-MW-eGFR-EA_PRSCS_UKB_20211120)
 PSS010037|
European Ancestry|
195,023 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 3.27 (0.0255) — R²: 0.061 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015699 PGS003249
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_LASSOSUM_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 0.0291 (0.0014) — R²: 0.0177 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015705 PGS003250
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PT_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 0.0217 (0.00138) — R²: 0.00982 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015701 PGS003251
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PLINK_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 0.0217 (0.00138) — R²: 0.00982 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015697 PGS003252
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_DBSLMM_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 0.00395 (0.0014) — R²: 0.00021 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015703 PGS003253
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PRSCS_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 0.0317 (0.00144) — R²: 0.0199 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015709 PGS003254
(ExPRSweb_Creatine_eGFRcrea-overall-EA_LASSOSUM_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0254 (0.00152) — R²: 0.00975 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015715 PGS003255
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PT_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0205 (0.00141) — R²: 0.00852 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015711 PGS003256
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PLINK_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0194 (0.00138) — R²: 0.00764 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015707 PGS003257
(ExPRSweb_Creatine_eGFRcrea-overall-EA_DBSLMM_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.00151 (0.00138) — R²: 2e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015713 PGS003258
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PRSCS_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0157 (0.00141) — R²: 0.00487 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015719 PGS003259
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_LASSOSUM_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0319 (0.00146) — R²: 0.0185 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015725 PGS003260
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PT_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0239 (0.0014) — R²: 0.0113 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015721 PGS003261
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PLINK_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0239 (0.0014) — R²: 0.0113 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015717 PGS003262
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_DBSLMM_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.0241 (0.00143) — R²: 0.0118 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015723 PGS003263
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PRSCS_MGI_20211120)
 PSS009999|
European Ancestry|
20,396 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.034 (0.00153) — R²: 0.0183 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015700 PGS003264
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_LASSOSUM_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 2.66 (0.034) — R²: 0.0232 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015706 PGS003265
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PT_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 2.13 (0.0341) — R²: 0.0151 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015702 PGS003266
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PLINK_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 2.13 (0.0342) — R²: 0.0151 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015698 PGS003267
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_DBSLMM_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.109 (0.0345) — R²: 4e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015704 PGS003268
(ExPRSweb_Creatine_CKDGen-1000Genomes-DiscoveryMeta-eGFRcrea_PRSCS_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: 2.79 (0.0341) — R²: 0.025 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015710 PGS003269
(ExPRSweb_Creatine_eGFRcrea-overall-EA_LASSOSUM_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.18 (0.034) — R²: 0.0157 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015716 PGS003270
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PT_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.03 (0.0341) — R²: 0.0133 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015712 PGS003271
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PLINK_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.04 (0.034) — R²: 0.0134 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015708 PGS003272
(ExPRSweb_Creatine_eGFRcrea-overall-EA_DBSLMM_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -0.267 (0.0343) — R²: 0.00021 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015714 PGS003273
(ExPRSweb_Creatine_eGFRcrea-overall-EA_PRSCS_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -1.5 (0.0342) — R²: 0.00736 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015720 PGS003274
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_LASSOSUM_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.74 (0.0339) — R²: 0.0241 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015726 PGS003275
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PT_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.35 (0.034) — R²: 0.0177 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015722 PGS003276
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PLINK_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.36 (0.034) — R²: 0.0179 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015718 PGS003277
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_DBSLMM_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.12 (0.0341) — R²: 0.0148 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015724 PGS003278
(ExPRSweb_Creatine_eGFRcrea-overall-IV-2GC_PRSCS_UKB_20211120)
 PSS010025|
European Ancestry|
195,036 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Creatine β: -2.64 (0.0341) — R²: 0.0224 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015739 PGS003289
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_LASSOSUM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.0524 (0.0525) — R²: 0.00038 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015745 PGS003290
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PT_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.0298 (0.0525) — R²: 2e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015741 PGS003291
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PLINK_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.0339 (0.0521) — R²: 0.0001 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015737 PGS003292
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_DBSLMM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 0.0339 (0.0485) — R²: 0.00258 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015743 PGS003293
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PRSCS_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 0.00954 (0.0537) — R²: 0.0131 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015749 PGS003294
(ExPRSweb_CysC_eGFRcys-overall-EA_LASSOSUM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.0131 (0.0552) — R²: 0.00398 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015755 PGS003295
(ExPRSweb_CysC_eGFRcys-overall-EA_PT_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 0.0475 (0.0562) — R²: 0.00743 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015751 PGS003296
(ExPRSweb_CysC_eGFRcys-overall-EA_PLINK_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.0261 (0.0529) — R²: 3e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015747 PGS003297
(ExPRSweb_CysC_eGFRcys-overall-EA_DBSLMM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.0371 (0.0545) — R²: 0.00926 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015753 PGS003298
(ExPRSweb_CysC_eGFRcys-overall-EA_PRSCS_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 0.0457 (0.049) — R²: 0.0103 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015759 PGS003299
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_LASSOSUM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.021 (0.0515) — R²: 0.015 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015765 PGS003300
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PT_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 0.0484 (0.0519) — R²: 0.00015 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015761 PGS003301
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PLINK_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 0.0486 (0.0519) — R²: 7e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015757 PGS003302
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_DBSLMM_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: 0.0163 (0.0472) — R²: 0.00069 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015763 PGS003303
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PRSCS_MGI_20211120)
 PSS010020|
European Ancestry|
19,504 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: eGFR β: -0.0446 (0.0567) — R²: 0.0349 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015740 PGS003304
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_LASSOSUM_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: 0.0328 (0.000358) — R²: 0.0356 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015746 PGS003305
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PT_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: 0.0314 (0.000359) — R²: 0.0326 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015742 PGS003306
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PLINK_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: 0.0314 (0.000359) — R²: 0.0326 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015738 PGS003307
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_DBSLMM_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.00171 (0.000365) — R²: 0.0001 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015744 PGS003308
(ExPRSweb_CysC_CKDGen-1000Genomes-DiscoveryMeta-eGFRcys_PRSCS_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: 0.0275 (0.00036) — R²: 0.0251 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015750 PGS003309
(ExPRSweb_CysC_eGFRcys-overall-EA_LASSOSUM_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0311 (0.000352) — R²: 0.0335 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015756 PGS003310
(ExPRSweb_CysC_eGFRcys-overall-EA_PT_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0294 (0.000353) — R²: 0.03 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015752 PGS003311
(ExPRSweb_CysC_eGFRcys-overall-EA_PLINK_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0297 (0.000353) — R²: 0.0304 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015748 PGS003312
(ExPRSweb_CysC_eGFRcys-overall-EA_DBSLMM_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0285 (0.000353) — R²: 0.0282 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015754 PGS003313
(ExPRSweb_CysC_eGFRcys-overall-EA_PRSCS_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0101 (0.000359) — R²: 0.00374 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015760 PGS003314
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_LASSOSUM_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0329 (0.000351) — R²: 0.0375 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015766 PGS003315
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PT_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0312 (0.000352) — R²: 0.0336 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015762 PGS003316
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PLINK_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0312 (0.000352) — R²: 0.0336 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015758 PGS003317
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_DBSLMM_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0155 (0.000358) — R²: 0.0084 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015764 PGS003318
(ExPRSweb_CysC_eGFRcys-overall-IV-2GC_PRSCS_UKB_20211120)
 PSS010026|
European Ancestry|
390,221 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Cystatin C β: -0.0272 (0.000354) — R²: 0.0255 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM016234 PGS003377
(eGFRldpred_PGS)
 PSS010065|
European Ancestry|
4,924 individuals
 PGP000411 |
Steinbrenner I et al. Kidney Int (2022)
 Reported Trait: Death HR: 1.11 [1.03, 1.2] — — Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes —
PPM016235 PGS003377
(eGFRldpred_PGS)
 PSS010065|
European Ancestry|
4,924 individuals
 PGP000411 |
Steinbrenner I et al. Kidney Int (2022)
 Reported Trait: 3P-MACE HR: 1.15 [1.06, 1.25] — — Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes —
PPM016237 PGS003377
(eGFRldpred_PGS)
 PSS010065|
European Ancestry|
4,924 individuals
 PGP000411 |
Steinbrenner I et al. Kidney Int (2022)
 Reported Trait: Cerebral hemorrhage HR: 1.06 [0.72, 1.55] — — Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes —
PPM016238 PGS003377
(eGFRldpred_PGS)
 PSS010065|
European Ancestry|
4,924 individuals
 PGP000411 |
Steinbrenner I et al. Kidney Int (2022)
 Reported Trait: Stroke HR: 1.1 [0.95, 1.28] — — Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes —
PPM016233 PGS003377
(eGFRldpred_PGS)
 PSS010065|
European Ancestry|
4,924 individuals
 PGP000411 |
Steinbrenner I et al. Kidney Int (2022)
 Reported Trait: Kidney failure HR: 1.12 [1.02, 1.22] — — Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes —
PPM016236 PGS003377
(eGFRldpred_PGS)
 PSS010065|
European Ancestry|
4,924 individuals
 PGP000411 |
Steinbrenner I et al. Kidney Int (2022)
 Reported Trait: Acute myocardial infarction HR: 1.16 [1.02, 1.32] — — Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes —

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
PSS000807 — — 23,576 individuals — European Non-British White UKB —
PSS000808 — — 7,339 individuals — South Asian — UKB —
PSS000809 — — 63,758 individuals — European
(British)		 — UKB —
PSS000810 — — 2,129 individuals — European Participants self-identifying as white MESA —
PSS001143 log transformed eGFR based on 2012 CKD-EPI creatinine equation Mean = 30.0 years 8,886 individuals,
0.47 % Male samples
 Mean = 54.3 years European — ARIC —
PSS009999 CREATININE LEVEL (LOINC: 2160-0); Quantitative — 20,396 individuals — European — MGI —
PSS010065 — — 4,924 individuals,
60.0 % Male samples
 Mean = 60.1 years European — GCKD —
PSS000376 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). — 1,354 individuals,
47.56 % Male samples
 Mean = 16.22 years
Sd = 0.66 years		 European — TRAILS —
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 —
PSS006911 — — 6,016 individuals — African unspecified — UKB —
PSS006912 — — 1,578 individuals — East Asian — UKB —
PSS006913 — — 23,574 individuals — European non-white British ancestry UKB —
PSS006914 — — 7,288 individuals — South Asian — UKB —
PSS006915 — — 63,753 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS010020 Estimated GFR, Non-Black (LOINC: 48642-3); Quantitative — 19,504 individuals — European — MGI —
PSS010025 Field ID: 30700; Quantitative — 195,036 individuals — European — UKB —
PSS010026 Field ID: 30720; Quantitative — 195,103 individuals — European — UKB —
PSS010026 Field ID: 30720; Quantitative — 195,118 individuals — European — UKB —
PSS000599 Cases: ICD 10 code N17. Controls: no ICD10 code N17, frequency-matched by age-group and sex —
[
  • 1,013 cases
  • , 2,434 controls
]
 — European — UKB Possible overlap between GWAS cohorts and this dataset.
PSS000600 CKDi25 cases defined as >25% eGFRcrea decline during follow-up together with a movement from eGFRcrea≥60 mL/min/1.73m^2 at baseline to eGFR<60 mL/min/1.73m^2 at follow up compared to CKDi25 controls defined as eGFRcrea≥60 mL/min/1.73m^2. High risk groups had 8-14 adverse alleles. Low risk groups had 0-5 adverse alleles. —
[
  • 448 cases
  • , 10,992 controls
]
 — European — DIACORE, KORA, UKB 87.61% overlap between the CKDi25 GWAS cohort and this dataset.
PSS010037 estimated glomerular filtration rate (eGFR) on the natural scale by using the harmonized serum creatinine values (data field 30700), race and sex information, and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation; Quantitative — 195,023 individuals — European — UKB —
PSS010042 — — 1,601 individuals,
93.0 % Male samples
 Mean = 54.12 years European — NR WTC
PSS009991 glomerular diseases (ICD-10 codes N00-N08; 2,289 cases); acute renal failure (N17; 4,913 cases); chronic renal failure (N18; 4,905 cases); urolithiasis (N20-N23; 7,053 cases); hypertensive diseases (I10-I15; 84,910 cases); and ischemic heart diseases (I20-I25; 33,387 cases). Asthma (J45; 28,628 cases) was included as a negative control. — 452,264 individuals — European — UKB —
PSS000805 — — 6,016 individuals — African unspecified — UKB —
PSS000806 — — 1,081 individuals — East Asian — UKB —