Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci

被引：0

作者：

Charles E. Breeze

Anna Batorsky

Mi Kyeong Lee

Mindy D. Szeto

Xiaoguang Xu

Daniel L. McCartney

Rong Jiang

Amit Patki

Holly J. Kramer

James M. Eales

Laura Raffield

Leslie Lange

Ethan Lange

Peter Durda

Yongmei Liu

Russ P. Tracy

David Van Den Berg

Kathryn L. Evans

William E. Kraus

Svati Shah

Hermant K. Tiwari

Lifang Hou

Eric A. Whitsel

Xiao Jiang

Fadi J. Charchar

Andrea A. Baccarelli

Stephen S. Rich

Andrew P. Morris

Marguerite R. Irvin

Donna K. Arnett

Elizabeth R. Hauser

Jerome I. Rotter

Adolfo Correa

Caroline Hayward

Steve Horvath

Riccardo E. Marioni

Maciej Tomaszewski

Stephan Beck

Sonja I. Berndt

Stephanie J. London

Josyf C. Mychaleckyj

Nora Franceschini

机构：

[1] Department Health and Human Services,Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health

[2] University College London,UCL Cancer Institute

[3] Altius Institute for Biomedical Sciences,Department of Biostatistics

[4] University of North Carolina,Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health

[5] Department of Health and Human Services,Division of Biomedical Informatics and Personalized Medicine

[6] University of Colorado Anschutz Medical Campus,Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health

[7] University of Manchester,Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine

[8] University of Edinburgh,Department of Psychiatry and Behavioral Sciences

[9] Duke University Medical Center,Department of Biostatistics

[10] University of Alabama,Department of Public Health Sciences and Medicine

[11] Loyola University Chicago,Division of Nephrology and Hypertension

[12] Loyola University Chicago,Department of Genetics

[13] University of North Carolina,Department of Pathology & Laboratory Medicine, Larner College of Medicine

[14] University of Vermont,Duke Molecular Physiology Institute

[15] Duke University Medical Center,Department of Biochemistry, Larner College of Medicine

[16] University of Vermont,Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC

[17] University of Southern California,Division of Cardiology, Department of Medicine, School of Medicine

[18] Duke University,Department of Preventive Medicine

[19] Northwestern University Feinberg School of Medicine,Center for Global Oncology

[20] Institute of Global Health,Department of Epidemiology

[21] Northwestern University Feinberg School of Medicine,Department of Medicine

[22] University of North Carolina,School of Health and Life Sciences

[23] University of North Carolina,Department of Physiology

[24] Federation University Australia,Department of Cardiovascular Sciences

[25] University of Melbourne,Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences and Epidemiology

[26] University of Leicester,Center for Public Health Genomics

[27] Columbia University Mailman School of Public Health,Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research

[28] University of Virginia,Department of Epidemiology

[29] The University of Manchester,College of Public Health

[30] University of Alabama at Birmingham,The Institute for Translational Genomics and Population Sciences, Department of Pediatrics

[31] University of Kentucky,Department of Medicine

[32] Durham VA Health System,MRC Human Genetics Unit, Institute of Genetics and Cancer

[33] The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center,Department of Human Genetics, David Geffen School of Medicine

[34] University of Mississippi Medical Center,Department of Biostatistics, Fielding School of Public Health

[35] University of Edinburgh,Manchester Heart Centre and Manchester Academic Health Science Centre

[36] University of California Los Angeles,undefined

[37] University of California Los Angeles,undefined

[38] Manchester University NHS Foundation Trust,undefined

来源：

Genome Medicine | / 13卷

关键词：

Epigenetic; Kidney function; Gene regulation; Kidney development; DNA methylation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 715 条

[1]

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[2]

Robinson B(2020)US renal data system 2019 annual data report: epidemiology of kidney disease in the United States Am J Kidney Dis 75 A6-A7

[3]

Abbott KC(2018)US renal data system 2017 annual data report: epidemiology of kidney disease in the United States Am J Kidney Dis 71 A7-541

[4]

Bragg-Gresham J(2019)Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies Nat Commun 10 29-332

[5]

Chen X(2011)Epigenome-wide association studies for common human diseases Nat Rev Genet. 12 529-1431

[6]

Gipson D(2016)Genetic sources of population epigenomic variation Nat Rev Genet 17 319-376

[7]

Gu H(2018)Cytosine methylation predicts renal function decline in American Indians Kidney Int 93 1417-872

[8]

Hirth RA(2014)DNA hypermethylation and DNA hypomethylation is present at different loci in chronic kidney disease Epigenetics. 9 366-902

[9]

Hutton D(2014)DNA methylation profile associated with rapid decline in kidney function: findings from the CRIC study Nephrol Dial Transplant 29 864-109

[10]

Jin Y(2017)DNA methylation analysis identifies loci for blood pressure regulation Am J Hum Genet 101 888-17

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