Journal article
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
Cristian Pattaro, Alexander Teumer, Mathias Gorski, Audrey Y Chu, Man Li, Vladan Mijatovic, Maija Garnaas, Adrienne Tin, Rossella Sorice, Yong Li, Daniel Taliun, Matthias Olden, Meredith Foster, Qiong Yang, Ming-Huei Chen, Tune H Pers, Andrew D Johnson, Yi-An Ko, Christian Fuchsberger, Bamidele Tayo Show all
NATURE COMMUNICATIONS | NATURE PUBLISHING GROUP | Published : 2016
DOI: 10.1038/ncomms10023
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..
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Awarded by NIH
Awarded by British Heart Foundation
Awarded by Economic and Social Research Council
Awarded by Lundbeck Foundation
Awarded by Medical Research Council
Awarded by National Institute for Health Research
Awarded by NNF Center for Basic Metabolic Research
Awarded by NATIONAL CANCER INSTITUTE
Awarded by NATIONAL CENTER FOR RESEARCH RESOURCES
Awarded by NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
Awarded by NATIONAL HUMAN GENOME RESEARCH INSTITUTE
Awarded by NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
Awarded by NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
Awarded by NATIONAL INSTITUTE ON AGING
Awarded by National Institute on Minority Health and Health Disparities
Awarded by OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH
Funding Acknowledgements
Study-specific acknowledgements and funding sources for participating studies are reported in Supplementary Note. Zebrafish work was supported by NIH R01DK090311 and R24OD017870 to W.G.