PGS Publication: PGP000124

Publication Information (EuropePMC)
Title Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.
PubMed ID 33137338(Europe PMC)
doi 10.1016/j.kint.2020.09.030
Publication Date Oct. 30, 2020
Journal Kidney Int
Author(s) Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, Thio CHL, Kleber ME, Winkler TW, Wanner V, Chai JF, Chu AY, Cocca M, Feitosa MF, Ghasemi S, Hoppmann A, Horn K, Li M, Nutile T, Scholz M, Sieber KB, Teumer A, Tin A, Wang J, Tayo BO, Ahluwalia TS, Almgren P, Bakker SJL, Banas B, Bansal N, Biggs ML, Boerwinkle E, Bottinger EP, Brenner H, Carroll RJ, Chalmers J, Chee ML, Chee ML, Cheng CY, Coresh J, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Franke A, Freitag-Wolf S, Gampawar P, Gansevoort RT, Ghanbari M, Gieger C, Hamet P, Ho K, Hofer E, Holleczek B, Xian Foo VH, Hutri-Kähönen N, Hwang SJ, Ikram MA, Josyula NS, Kähönen M, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Lange LA, Lehtimäki T, Lieb W, Lifelines cohort study, Regeneron Genetics Center, Loos RJF, Lukas MA, Lyytikäinen LP, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Mychaleckyj JC, Nadkarni GN, Nauck M, Nikus K, Ning B, Nolte IM, O'Donoghue ML, Orho-Melander M, Pendergrass SA, Penninx BWJH, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rosenkranz AR, Rossing P, Rotter JI, Sabanayagam C, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Strauch K, Szymczak S, Taylor KD, Tremblay J, Chaker L, van der Harst P, van der Most PJ, Verweij N, Völker U, Waldenberger M, Wallentin L, Waterworth DM, White HD, Wilson JG, Wong TY, Woodward M, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang Y, Snieder H, Wanner C, Böger CA, Köttgen A, Kronenberg F, Pattaro C, Heid IM.
Released in PGS Catalog: Jan. 7, 2021

Associated Polygenic Score(s)

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Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
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PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution PGS Scoring File (FTP Link)
PGS000664
(GRS7_GFR)
PGP000124 |
Gorski M et al. Kidney Int (2020)
Rapid decline of glomerular filtration rate (GFR) GFR change measurement 7
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000664/ScoringFiles/PGS000664.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
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

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
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.
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.