Nature Communications (Nov 2017)
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,
- Anna Köttgen
Affiliations
- Audrey Y. Chu
- The Population Sciences Branch, Division of Intramural Research, NHLBI, NIH
- Adrienne Tin
- Department of Epidemiology, 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
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- Liming Liang
- Department of Biostatistics, 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
- Department of Epidemiology, 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
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- DOI
- https://doi.org/10.1038/s41467-017-01297-7
- Journal volume & issue
-
Vol. 8,
no. 1
pp. 1 – 12
Abstract
Genome-wide association studies of kidney function show enrichment of associated genetic variants in regulatory regions. Here, the authors perform epigenome-wide association studies of kidney function and disease, identifying 19 CpG sites significantly associated with these.
