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GWAS Study

Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals.

Stanzick KJ, Li Y, Schlosser P et al.

34272381 PubMed ID
GWAS Study Type
852680 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SK
Stanzick KJ
LY
Li Y
SP
Schlosser P
GM
Gorski M
WM
Wuttke M
TL
Thomas LF
RH
Rasheed H
RB
Rowan BX
GS
Graham SE
VB
Vanderweff BR
PS
Patil SB
RC
Robinson-Cohen C
GJ
Gaziano JM
OC
O'Donnell CJ
WC
Willer CJ
HS
Hallan S
ÅB
Åsvold BO
GA
Gessner A
HA
Hung AM
PC
Pattaro C
KA
Köttgen A
SK
Stark KJ
HI
Heid IM
WT
Winkler TW
Chapter II

Abstract

Summary of the research findings

Genes underneath signals from genome-wide association studies (GWAS) for kidney function are promising targets for functional studies, but prioritizing variants and genes is challenging. By GWAS meta-analysis for creatinine-based estimated glomerular filtration rate (eGFR) from the Chronic Kidney Disease Genetics Consortium and UK Biobank (n = 1,201,909), we expand the number of eGFRcrea loci (424 loci, 201 novel; 9.8% eGFRcrea variance explained by 634 independent signal variants). Our increased sample size in fine-mapping (n = 1,004,040, European) more than doubles the number of signals with resolved fine-mapping (99% credible sets down to 1 variant for 44 signals, ≤5 variants for 138 signals). Cystatin-based eGFR and/or blood urea nitrogen association support 348 loci (n = 460,826 and 852,678, respectively). Our customizable tool for Gene PrioritiSation reveals 23 compelling genes including mechanistic insights and enables navigation through genes and variants likely relevant for kidney function in human to help select targets for experimental follow-up.

679,531 European ancestry individuals, 173,149 individuals

Chapter III

Study Statistics

Key metrics and study information

852680
Total Participants
GWAS
Study Type
Yes
Replicated
417,288 European ancestry individuals
Replication Participants
European, East Asian, African American or Afro-Caribbean, South Asian, Hispanic or Latin American, NR
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

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