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
PGS003989
(dbslmm.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,141,637
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003989/ScoringFiles/PGS003989.txt.gz
PGS004005
(lassosum.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 15,373
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004005/ScoringFiles/PGS004005.txt.gz
PGS004017
(lassosum.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 88,605
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004017/ScoringFiles/PGS004017.txt.gz
PGS004031
(ldpred2.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,050,295
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004031/ScoringFiles/PGS004031.txt.gz
PGS004046
(ldpred2.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,050,295
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004046/ScoringFiles/PGS004046.txt.gz
PGS004059
(megaprs.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 846,995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004059/ScoringFiles/PGS004059.txt.gz
PGS004075
(megaprs.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 846,995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004075/ScoringFiles/PGS004075.txt.gz
PGS004089
(prscs.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,109,217
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004089/ScoringFiles/PGS004089.txt.gz
PGS004113
(pt_clump.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 301
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004113/ScoringFiles/PGS004113.txt.gz
PGS004129
(pt_clump_nested.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 8,543
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004129/ScoringFiles/PGS004129.txt.gz
PGS004143
(sbayesr.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 804,867
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004143/ScoringFiles/PGS004143.txt.gz
PGS004159
(UKBB_EnsPGS.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,141,659
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004159/ScoringFiles/PGS004159.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) : 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] : 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] : 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] : 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] : 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] : 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 : 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 : 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 : 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 : 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 : 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) : 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
PPM018704 PGS000883
(eGFR_LDpredPRS)
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: 1.75 [1.66, 1.84] AUROC: 0.73 [0.72, 0.75] 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
PPM018705 PGS000883
(eGFR_LDpredPRS)
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: 1.7 [1.52, 1.9] AUROC: 0.79 [0.77, 0.81] 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
PPM018703 PGS000883
(eGFR_LDpredPRS)
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: 1.37 [1.31, 1.43] AUROC: 0.69 [0.67, 0.7] 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
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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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
PPM019727 PGS003989
(dbslmm.auto.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.20785 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019729 PGS003989
(dbslmm.auto.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.21486 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019731 PGS003989
(dbslmm.auto.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.26244 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019733 PGS003989
(dbslmm.auto.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.2994 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019793 PGS004005
(lassosum.auto.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.1977 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019795 PGS004005
(lassosum.auto.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.20614 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019797 PGS004005
(lassosum.auto.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.25654 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019799 PGS004005
(lassosum.auto.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.29184 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019803 PGS004017
(lassosum.CV.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.20463 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019807 PGS004017
(lassosum.CV.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.26617 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019809 PGS004017
(lassosum.CV.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.30382 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019805 PGS004017
(lassosum.CV.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.21678 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019747 PGS004031
(ldpred2.auto.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.21464 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019749 PGS004031
(ldpred2.auto.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22342 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019751 PGS004031
(ldpred2.auto.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.27229 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019753 PGS004031
(ldpred2.auto.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.3212 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019687 PGS004046
(ldpred2.CV.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22224 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019689 PGS004046
(ldpred2.CV.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22732 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019691 PGS004046
(ldpred2.CV.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.28008 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019693 PGS004046
(ldpred2.CV.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.32473 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019757 PGS004059
(megaprs.auto.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22316 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019759 PGS004059
(megaprs.auto.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22692 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019761 PGS004059
(megaprs.auto.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.28361 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019763 PGS004059
(megaprs.auto.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.32293 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019767 PGS004075
(megaprs.CV.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22663 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019769 PGS004075
(megaprs.CV.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22823 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019771 PGS004075
(megaprs.CV.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.28276 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019773 PGS004075
(megaprs.CV.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.32666 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019783 PGS004089
(prscs.auto.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.21078 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019785 PGS004089
(prscs.auto.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.21808 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019787 PGS004089
(prscs.auto.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.27584 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019789 PGS004089
(prscs.auto.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.30818 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019697 PGS004113
(pt_clump.auto.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.13077 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019699 PGS004113
(pt_clump.auto.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.14395 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019701 PGS004113
(pt_clump.auto.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.19146 0
PPM019703 PGS004113
(pt_clump.auto.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.20975 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019707 PGS004129
(pt_clump_nested.CV.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.15438 0
PPM019709 PGS004129
(pt_clump_nested.CV.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.18248 0
PPM019711 PGS004129
(pt_clump_nested.CV.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.20014 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019713 PGS004129
(pt_clump_nested.CV.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.259 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019737 PGS004143
(sbayesr.auto.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.2195 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019739 PGS004143
(sbayesr.auto.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.22058 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019741 PGS004143
(sbayesr.auto.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.27556 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019743 PGS004143
(sbayesr.auto.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.31768 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019722 PGS004159
(UKBB_EnsPGS.GCST008059.eGFR)
PSS011266|
European Ancestry|
66,759 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.23365 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019723 PGS004159
(UKBB_EnsPGS.GCST008059.eGFR)
PSS011293|
South Asian Ancestry|
8,855 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.28908 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019724 PGS004159
(UKBB_EnsPGS.GCST008059.eGFR)
PSS011280|
European Ancestry|
86,034 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.3364 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019721 PGS004159
(UKBB_EnsPGS.GCST008059.eGFR)
PSS011251|
South Asian Ancestry|
3,061 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: estimated glomerular filtration rate β: 0.23205 0 beta = sd_trait/sd_pgs = pearson correlation

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
PSS011280 86,034 individuals European UKB
PSS011293 8,855 individuals South Asian UKB
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
PSS011075 11,813 individuals,
45.8 % Male samples
Mean = 75.0 years
Sd = 4.2 years
European ASPREE
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
PSS011251 3,061 individuals South Asian G&H
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
PSS011266 66,759 individuals European HUNT
PSS000805 6,016 individuals African unspecified UKB
PSS000806 1,081 individuals East Asian UKB