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@article{Winkler:2022:10.1038/s42003-022-03448-z,
author = {Winkler, TW and Rasheed, H and Teumer, A and Gorski, M and Rowan, BX and Stanzick, KJ and Thomas, LF and Tin, A and Hoppmann, A and Chu, AY and Tayo, B and Thio, CHL and Cusi, D and Chai, J-F and Sieber, KB and Horn, K and Li, M and Scholz, M and Cocca, M and Wuttke, M and van, der Most PJ and Yang, Q and Ghasemi, S and Nutile, T and Li, Y and Pontali, G and Guenther, F and Dehghan, A and Correa, A and Parsa, A and Feresin, A and de, Vries APJ and Zonderman, AB and Smith, A and Oldehinkel, AJ and De, Grandi A and Rosenkranz, AR and Franke, A and Teren, A and Metspalu, A and Hicks, AA and Morris, AP and Toenjes, A and Morgan, A and Podgornaia, A and Peters, A and Koerner, A and Mahajan, A and Campbell, A and Freedman, B and Spedicati, B and Ponte, B and Schoettker, B and Brumpton, B and Banas, B and Kraemer, BK and Jung, B and Asvold, BO and Smith, BH and Ning, B and Penninx, BWJH and Vanderwerff, BR and Psaty, BM and Kammerer, CM and Langefeld, CD and Hayward, C and Spracklen, CN and R},
doi = {10.1038/s42003-022-03448-z},
journal = {Communications Biology},
title = {Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals},
url = {http://dx.doi.org/10.1038/s42003-022-03448-z},
volume = {5},
year = {2022}
}

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TY  - JOUR
AB  - Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (nDM = 178,691, nnoDM = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.
AU  - Winkler,TW
AU  - Rasheed,H
AU  - Teumer,A
AU  - Gorski,M
AU  - Rowan,BX
AU  - Stanzick,KJ
AU  - Thomas,LF
AU  - Tin,A
AU  - Hoppmann,A
AU  - Chu,AY
AU  - Tayo,B
AU  - Thio,CHL
AU  - Cusi,D
AU  - Chai,J-F
AU  - Sieber,KB
AU  - Horn,K
AU  - Li,M
AU  - Scholz,M
AU  - Cocca,M
AU  - Wuttke,M
AU  - van,der Most PJ
AU  - Yang,Q
AU  - Ghasemi,S
AU  - Nutile,T
AU  - Li,Y
AU  - Pontali,G
AU  - Guenther,F
AU  - Dehghan,A
AU  - Correa,A
AU  - Parsa,A
AU  - Feresin,A
AU  - de,Vries APJ
AU  - Zonderman,AB
AU  - Smith,A
AU  - Oldehinkel,AJ
AU  - De,Grandi A
AU  - Rosenkranz,AR
AU  - Franke,A
AU  - Teren,A
AU  - Metspalu,A
AU  - Hicks,AA
AU  - Morris,AP
AU  - Toenjes,A
AU  - Morgan,A
AU  - Podgornaia,A
AU  - Peters,A
AU  - Koerner,A
AU  - Mahajan,A
AU  - Campbell,A
AU  - Freedman,B
AU  - Spedicati,B
AU  - Ponte,B
AU  - Schoettker,B
AU  - Brumpton,B
AU  - Banas,B
AU  - Kraemer,BK
AU  - Jung,B
AU  - Asvold,BO
AU  - Smith,BH
AU  - Ning,B
AU  - Penninx,BWJH
AU  - Vanderwerff,BR
AU  - Psaty,BM
AU  - Kammerer,CM
AU  - Langefeld,CD
AU  - Hayward,C
AU  - Spracklen,CN
AU  - Robinson-Cohen,C
AU  - Hartman,CA
AU  - Lindgren,CM
AU  - Wang,C
AU  - Sabanayagam,C
AU  - Heng,C-K
AU  - Lanzani,C
AU  - Khor,C-C
AU  - Cheng,C-Y
AU  - Fuchsberger,C
AU  - Gieger,C
AU  - Shaffer,CM
AU  - Schulz,C-A
AU  - Willer,CJ
AU  - Chasman,D
AU  - Gudbjartsson,DF
AU  - Ruggiero,D
AU  - Toniolo,D
AU  - Czamara,D
AU  - Porteous,DJ
AU  - Waterworth,DM
AU  - Mascalzoni,D
AU  - Mook-Kanamori,DO
AU  - Reilly,DF
AU  - Daw,EW
AU  - Hofer,E
AU  - Boerwinkle,E
AU  - Salvi,E
AU  - Bottinger,EP
AU  - Tai,E-S
AU  - Catamo,E
AU  - Rizzi,F
AU  - Guo,F
AU  - Rivadeneira,F
AU  - Guilianini,F
AU  - Sveinbjornsson,G
AU  - Ehret,G
AU  - Waeber,G
AU  - Biino,G
AU  - Girotto,G
AU  - Pistis,G
AU  - Nadkarni,GN
AU  - Delgado,GE
AU  - Montgomery,GW
AU  - Snieder,H
AU  - Campbell,H
AU  - White,HD
AU  - Gao,H
AU  - Stringham,HM
AU  - Schmidt,H
AU  - Li,H
AU  - Brenner,H
AU  - Holm,H
AU  - Kirsten,H
AU  - Kramer,H
AU  - Rudan,I
AU  - Nolte,IM
AU  - Tzoulaki,I
AU  - Olafsson,I
AU  - Martins,J
AU  - Cook,JP
AU  - Wilson,JF
AU  - Halbritter,J
AU  - Felix,JF
AU  - Divers,J
AU  - Kooner,JS
AU  - Lee,JJ-M
AU  - O'Connell,J
AU  - Rotter,J
AU  - Liu,J
AU  - Xu,J
AU  - Thiery,J
AU  - Arnlov,J
AU  - Kuusisto,J
AU  - Jakobsdottir,J
AU  - Tremblay,J
AU  - Chambers,JC
AU  - Whitfield,JB
AU  - Gaziano,JM
AU  - Marten,J
AU  - Coresh,J
AU  - Jonas,JB
AU  - Mychaleckyj,JC
AU  - Christensen,K
AU  - Eckardt,K-U
AU  - Mohlke,KL
AU  - Endlich,K
AU  - Dittrich,K
AU  - Ryan,KA
AU  - Rice,KM
AU  - Taylor,KD
AU  - Ho,K
AU  - Nikus,K
AU  - Matsuda,K
AU  - Strauch,K
AU  - Miliku,K
AU  - Hveem,K
AU  - Lind,L
AU  - Wallentin,L
AU  - Yerges-Armstrong,LM
AU  - Raffield,LM
AU  - Phillips,LS
AU  - Launer,LJ
AU  - Lyytikainen,L-P
AU  - Lange,LA
AU  - Citterio,L
AU  - Klaric,L
AU  - Ikram,MA
AU  - Ising,M
AU  - Kleber,ME
AU  - Francescatto,M C
DO  - 10.1038/s42003-022-03448-z
PY  - 2022///
SN  - 2399-3642
TI  - Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals
T2  - Communications Biology
UR  - http://dx.doi.org/10.1038/s42003-022-03448-z
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000810675200002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.nature.com/articles/s42003-022-03448-z
UR  - http://hdl.handle.net/10044/1/97937
VL  - 5
ER  -

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