Authors

Cristian Pattaro, EURAC Research, Institute for Biomedicine
Alexander Teumer, Universität Greifswald
Mathias Gorski, Universität Regensburg
Audrey Y. Chu, Brigham and Women's Hospital
Man Li, Johns Hopkins Bloomberg School of Public Health
Vladan Mijatovic, Università degli Studi di Verona
Maija Garnaas, Brigham and Women's Hospital
Adrienne Tin, Johns Hopkins Bloomberg School of Public Health
Rossella Sorice, Institute of Genetics and Biophysics Adriano Buzzati Traverso
Yong Li, Universitätsklinikum Freiburg
Daniel Taliun, EURAC Research, Institute for Biomedicine
Matthias Olden, Universität Regensburg
Meredith Foster, Tufts University School of Medicine
Qiong Yang, School of Public Health
Ming Huei Chen, School of Public Health
Tune H. Pers, Boston Children's Hospital
Andrew D. Johnson, Framingham Heart Study
Yi An Ko, University of Pennsylvania Perelman School of Medicine
Christian Fuchsberger, EURAC Research, Institute for Biomedicine
Bamidele Tayo, Loyola University Medical Center
Michael Nalls, National Institute on Aging (NIA)
Mary F. Feitosa, Washington University School of Medicine in St. Louis
Aaron Isaacs, Erasmus MC
Abbas Dehghan, Erasmus MC
Pio D'Adamo, Università degli Studi di Trieste
Adebowale Adeyemo, National Human Genome Research Institute (NHGRI)
Aida Karina Dieffenbach, German Cancer Research Center
Alan B. Zonderman, National Institute on Aging (NIA)
Ilja M. Nolte, Universitair Medisch Centrum Groningen
Peter J. Van Der Most, Universitair Medisch Centrum Groningen
Alan F. Wright, MRC Human Genetics Unit
Alan R. Shuldiner, University of Maryland School of Medicine
Alanna C. Morrison, University of Texas Health Science Center at Houston

Document Type

Article

Publication Date

1-21-2016

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.

Publication Source (Journal or Book title)

Nature Communications

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