학술논문
Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies
Document Type
article
Author
Andrew P. Morris; Thu H. Le; Haojia Wu; Artur Akbarov; Peter J. van der Most; Gibran Hemani; George Davey Smith; Anubha Mahajan; Kyle J. Gaulton; Girish N. Nadkarni; Adan Valladares-Salgado; Niels Wacher-Rodarte; Josyf C. Mychaleckyj; Nicole D. Dueker; Xiuqing Guo; Yang Hai; Jeffrey Haessler; Yoichiro Kamatani; Adrienne M. Stilp; Gu Zhu; James P. Cook; Johan Ärnlöv; Susan H. Blanton; Martin H. de Borst; Erwin P. Bottinger; Thomas A. Buchanan; Sylvia Cechova; Fadi J. Charchar; Pei-Lun Chu; Jeffrey Damman; James Eales; Ali G. Gharavi; Vilmantas Giedraitis; Andrew C. Heath; Eli Ipp; Krzysztof Kiryluk; Holly J. Kramer; Michiaki Kubo; Anders Larsson; Cecilia M. Lindgren; Yingchang Lu; Pamela A. F. Madden; Grant W. Montgomery; George J. Papanicolaou; Leslie J. Raffel; Ralph L. Sacco; Elena Sanchez; Holger Stark; Johan Sundstrom; Kent D. Taylor; Anny H. Xiang; Aleksandra Zivkovic; Lars Lind; Erik Ingelsson; Nicholas G. Martin; John B. Whitfield; Jianwen Cai; Cathy C. Laurie; Yukinori Okada; Koichi Matsuda; Charles Kooperberg; Yii-Der Ida Chen; Tatjana Rundek; Stephen S. Rich; Ruth J. F. Loos; Esteban J. Parra; Miguel Cruz; Jerome I. Rotter; Harold Snieder; Maciej Tomaszewski; Benjamin D. Humphreys; Nora Franceschini
Source
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Subject
Language
English
ISSN
2041-1723
Abstract
Estimated glomerular filtration rate (eGFR) is a measure of kidney function used to define chronic kidney disease. Here, Morris et al. perform trans-ethnic genome-wide meta-analyses for eGFR in 312,468 individuals and identify novel loci and downstream putative causal genes.