Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/38429
Title: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
Authors: Pattaro, C.
Teumer, A.
Gorski, M.
Chu, A. Y.
Li, M.
Mijatovic, V.
Garnaas, M.
Tin, A.
Sorice, R.
Li, Y.
Taliun, D.
Olden, M.
Foster, M.
Yang, Q.
Chen, M. H.
Pers, T. H.
Johnson, A. D.
Ko, Y. A.
Fuchsberger, C.
Tayo, B.
Nalls, M.
Feitosa, M. F.
Isaacs, A.
Dehghan, A.
D'Adamo, P.
Adeyemo, A.
Dieffenbach, A. K.
Zonderman, A. B.
Nolte, I. M.
Van Der Most, P. J.
Wright, A. F.
Shuldiner, A. R.
Morrison, A. C.
Hofman, A.
Smith, A. V.
Dreisbach, A. W.
Franke, A.
Uitterlinden, A. G.
Metspalu, A.
Tonjes, A.
Lupo, A.
Robino, A.
Johansson, Å.
Demirkan, A.
Kollerits, B.
Freedman, B. I.
Ponte, B.
Oostra, B. A.
Paulweber, B.
Krämer, B. K.
Mitchell, B. D.
Buckley, B. M.
Peralta, C. A.
Hayward, C.
Helmer, C.
Rotimi, C. N.
Shaffer, C. M.
Müller, C.
Sala, C.
Van Duijn, C. M.
Saint-Pierre, A.
Ackermann, D.
Shriner, D.
Ruggiero, D.
Toniolo, D.
Lu, Y.
Cusi, D.
Czamara, D.
Ellinghaus, D.
Siscovick, D. S.
Ruderfer, D.
Gieger, C.
Grallert, H.
Rochtchina, E.
Atkinson, E. J.
Holliday, E. G.
Boerwinkle, E.
Salvi, E.
Bottinger, E. P.
Murgia, F.
Rivadeneira, F.
Ernst, F.
Kronenberg, F.
Hu, F. B.
Navis, G. J.
Curhan, G. C.
Ehret, G. B.
Homuth, G.
Coassin, S.
Thun, G-A.
Pistis, G.
Gambaro, G.
Malerba, G.
Montgomery, G. W.
Eiriksdottir, G.
Jacobs, G.
Li, G.
Wichmann, H-E.
Campbell, H.
Schmidt, H.
Wallaschofski, H.
Völzke, H.
Brenner, H.
Kroemer, H. K.
Kramer, H.
Lin, H.
Leach, I. M.
Ford, I.
Guessous, I.
Rudan, I.
Prokopenko, I.
Borecki, I.
Heid, I. M.
Kolcic, I.
Persico, I.
Jukema, J. W.
Wilson, J. F.
Felix, J. F.
Divers, J.
Lambert, J-C.
Stafford, J. M.
Gaspoz, J-M.
Smith, J. A.
Faul, J. D.
Wang, J. J.
Ding, J.
Hirschhorn, J. N.
Attia, J.
Whitfield, J. B.
Chalmers, J.
Viikari, J.
Coresh, J.
Denny, J. C.
Karjalainen, J.
Fernandes, J. K.
Endlich, K.
Butterbach, K.
Keene, K. L.
Lohman, K.
Portas, L.
Launer, L. J.
Lyytikäinen, L-P.
Yengo, L.
Franke, L.
Ferrucci, L.
Rose, L. M.
Kedenko, L.
Rao, M.
Struchalin, M.
Kleber, M. E.
Cavalieri, M.
Haun, M.
Cornelis, M. C.
Ciullo, M.
Pirastu, M.
de Andrade, M.
McEvoy, M. A.
Woodward, M.
Adam, M.
Cocca, M.
Nauck, M.
Imboden, M.
Waldenberger, M.
Pruijm, M.
Metzger, M.
Stumvoll, M.
Evans, M. K.
Sale, M. M.
Kähönen, M.
Boban, M.
Bochud, M.
Rheinberger, M.
Verweij, N.
Bouatia-Naji, N.
Martin, N. G.
Hastie, N.
Probst-Hensch, N.
Soranzo, N.
Devuyst, O.
Raitakari, O.
Gottesman, O.
Franco, O. H.
Polasek, O.
Gasparini, P.
Munroe, P. B.
Ridker, P. M.
Mitchell, P.
Muntner, P.
Meisinger, C.
Smit, J. H.
ICBP Consortium
AGEN Consortium
CARDIOGRAM
CHARGe-Heart Failure Group
ECHOGen Consortium
Kovacs, P.
Wild, P. S.
Froguel, P.
Rettig, R.
Mägi, R.
Biffar, R.
Schmidt, R.
Middelberg, R. P. S.
Carroll, R. J.
Penninx, B. W.
Scott, R. J.
Katz, R.
Sedaghat, S.
Wild, S. H.
Kardia, S. L. R.
Ulivi, S.
Hwang, S-J.
Enroth, S.
Kloiber, S.
Trompet, S.
Stengel, B.
Hancock, S. J.
Turner, S. T.
Rosas, S. E.
Stracke, S.
Harris, T. B.
Zeller, T.
Zemunik, T.
Lehtimäki, T.
Illig, T.
Aspelund, T.
Nikopensius, T.
Esko, T.
Tanaka, T.
Gyllensten, U.
Völker, U.
Emilsson, V.
Vitart, V.
Aalto, V.
Gudnason, V.
Chouraki, V.
Chen, W-M.
Igl, W.
März, W.
Koenig, W.
Lieb, W.
Liu, Y.
Loos, R. J. F.
Snieder, H.
Pramstaller, P. P.
Parsa, A.
O’Connell, J. R.
Susztak, K.
Hamet, P.
Tremblay, J.
de Boer, I. H.
Böger, C. A.
Goessling, W.
Chasman, D. I.
Köttgen, A.
Kao, W. H. L.
Fox, C. S.
First Published: 21-Jan-2016
Publisher: Nature Publishing Group
Citation: Nature Communications, 2016, 7:10023
Abstract: Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
DOI Link: 10.1038/ncomms10023
eISSN: 2041-1723
Links: http://www.nature.com/articles/ncomms10023
http://hdl.handle.net/2381/38429
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Appears in Collections:Published Articles, Dept. of Cardiovascular Sciences

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