학술논문
Meta-analyses identify DNA methylation associated with kidney function and damage
Document Type
article
Author
Pascal Schlosser; Adrienne Tin; Pamela R. Matias-Garcia; Chris H. L. Thio; Roby Joehanes; Hongbo Liu; Antoine Weihs; Zhi Yu; Anselm Hoppmann; Franziska Grundner-Culemann; Josine L. Min; Adebowale A. Adeyemo; Charles Agyemang; Johan Ärnlöv; Nasir A. Aziz; Andrea Baccarelli; Murielle Bochud; Hermann Brenner; Monique M. B. Breteler; Cristian Carmeli; Layal Chaker; John C. Chambers; Shelley A. Cole; Josef Coresh; Tanguy Corre; Adolfo Correa; Simon R. Cox; Niek de Klein; Graciela E. Delgado; Arce Domingo-Relloso; Kai-Uwe Eckardt; Arif B. Ekici; Karlhans Endlich; Kathryn L. Evans; James S. Floyd; Myriam Fornage; Lude Franke; Eliza Fraszczyk; Xu Gao; Xīn Gào; Mohsen Ghanbari; Sahar Ghasemi; Christian Gieger; Philip Greenland; Megan L. Grove; Sarah E. Harris; Gibran Hemani; Peter Henneman; Christian Herder; Steve Horvath; Lifang Hou; Mikko A. Hurme; Shih-Jen Hwang; Marjo-Riitta Jarvelin; Sharon L. R. Kardia; Silva Kasela; Marcus E. Kleber; Wolfgang Koenig; Jaspal S. Kooner; Holly Kramer; Florian Kronenberg; Brigitte Kühnel; Terho Lehtimäki; Lars Lind; Dan Liu; Yongmei Liu; Donald M. Lloyd-Jones; Kurt Lohman; Stefan Lorkowski; Ake T. Lu; Riccardo E. Marioni; Winfried März; Daniel L. McCartney; Karlijn A. C. Meeks; Lili Milani; Pashupati P. Mishra; Matthias Nauck; Ana Navas-Acien; Christoph Nowak; Annette Peters; Holger Prokisch; Bruce M. Psaty; Olli T. Raitakari; Scott M. Ratliff; Alex P. Reiner; Sylvia E. Rosas; Ben Schöttker; Joel Schwartz; Sanaz Sedaghat; Jennifer A. Smith; Nona Sotoodehnia; Hannah R. Stocker; Silvia Stringhini; Johan Sundström; Brenton R. Swenson; Maria Tellez-Plaza; Joyce B. J. van Meurs; Jana V. van Vliet-Ostaptchouk; Andrea Venema; Niek Verweij; Rosie M. Walker; Matthias Wielscher; Juliane Winkelmann; Bruce H. R. Wolffenbuttel; Wei Zhao; Yinan Zheng; Estonian Biobank Research Team; Genetics of DNA Methylation Consortium; Marie Loh; Harold Snieder; Daniel Levy; Melanie Waldenberger; Katalin Susztak; Anna Köttgen; Alexander Teumer
Source
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
Subject
Language
English
ISSN
2041-1723
Abstract
Many genetic loci have been identified to be associated with kidney disease, but the molecular mechanisms are not well understood. Here, the authors perform epigenome-wide association studies on kidney function measures to identify epigenetic marks and pathways involved in kidney function.