Epigenome-wide association studies identify DNA methylation associated with kidney function

Audrey Y. Chu, Adrienne Tin, Pascal Schlosser, Yi-An Ko, Chengxiang Qiu, Chen Yao, Roby Joehanes, Morgan E. Grams, Liming Liang, Caroline A. Gluck, Chunyu Liu, Josef Coresh, Shih-Jen Hwang, Daniel Levy, Eric Boerwinkle, James S. Pankow, Qiong Yang, Myriam Fornage, Caroline S. Fox, Katalin Susztak and Anna Köttgen ()
Additional contact information
Audrey Y. Chu: The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
Adrienne Tin: Johns Hopkins Bloomberg School of Public Health
Pascal Schlosser: Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center—University of Freiburg
Yi-An Ko: Renal Electrolyte and Hypertension Division, Department of Medicine, Department of Genetics, University of Pennsylvania, Perelman School of Medicine
Chengxiang Qiu: Renal Electrolyte and Hypertension Division, Department of Medicine, Department of Genetics, University of Pennsylvania, Perelman School of Medicine
Chen Yao: The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
Roby Joehanes: The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
Morgan E. Grams: Johns Hopkins Bloomberg School of Public Health
Liming Liang: Harvard University School of Public Health
Caroline A. Gluck: Renal Electrolyte and Hypertension Division, Department of Medicine, Department of Genetics, University of Pennsylvania, Perelman School of Medicine
Chunyu Liu: The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
Josef Coresh: Johns Hopkins Bloomberg School of Public Health
Shih-Jen Hwang: The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
Daniel Levy: The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
Eric Boerwinkle: Human Genetics Center, University of Texas Health Science Center
James S. Pankow: Division of Epidemiology & Community Health, School of Public Health, University of Minnesota
Qiong Yang: NHLBI’s Framingham Heart Study
Myriam Fornage: Human Genetics Center, University of Texas Health Science Center
Caroline S. Fox: The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
Katalin Susztak: Renal Electrolyte and Hypertension Division, Department of Medicine, Department of Genetics, University of Pennsylvania, Perelman School of Medicine
Anna Köttgen: Johns Hopkins Bloomberg School of Public Health

Nature Communications, 2017, vol. 8, issue 1, 1-12

Abstract: Abstract Chronic kidney disease (CKD) is defined by reduced estimated glomerular filtration rate (eGFR). Previous genetic studies have implicated regulatory mechanisms contributing to CKD. Here we present epigenome-wide association studies of eGFR and CKD using whole-blood DNA methylation of 2264 ARIC Study and 2595 Framingham Heart Study participants to identify epigenetic signatures of kidney function. Of 19 CpG sites significantly associated (P

Date: 2017
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DOI: 10.1038/s41467-017-01297-7

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