Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

被引:0
作者
Daniel L. McCartney
Josine L. Min
Rebecca C. Richmond
Ake T. Lu
Maria K. Sobczyk
Gail Davies
Linda Broer
Xiuqing Guo
Ayoung Jeong
Jeesun Jung
Silva Kasela
Seyma Katrinli
Pei-Lun Kuo
Pamela R. Matias-Garcia
Pashupati P. Mishra
Marianne Nygaard
Teemu Palviainen
Amit Patki
Laura M. Raffield
Scott M. Ratliff
Tom G. Richardson
Oliver Robinson
Mette Soerensen
Dianjianyi Sun
Pei-Chien Tsai
Matthijs D. van der Zee
Rosie M. Walker
Xiaochuan Wang
Yunzhang Wang
Rui Xia
Zongli Xu
Jie Yao
Wei Zhao
Adolfo Correa
Eric Boerwinkle
Pierre-Antoine Dugué
Peter Durda
Hannah R. Elliott
Christian Gieger
Eco J. C. de Geus
Sarah E. Harris
Gibran Hemani
Medea Imboden
Mika Kähönen
Sharon L. R. Kardia
Jacob K. Kresovich
Shengxu Li
Kathryn L. Lunetta
Massimo Mangino
Dan Mason
机构
[1] University of Edinburgh,Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer
[2] MRC Integrative Epidemiology Unit University of Bristol,Population Health Sciences, Bristol Medical School
[3] University of Bristol,Department of Human Genetics, David Geffen School of Medicine
[4] University of California Los Angeles,Lothian Birth Cohorts, Department of Psychology
[5] University of Edinburgh,Department of Internal Medicine
[6] Erasmus MC,The Institute for Translational Genomics and Population Sciences, Department of Pediatrics
[7] The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center,Estonian Genome Centre, Institute of Genomics
[8] Swiss Tropical and Public Health Institute,Department of Gynecology and Obstetrics
[9] University of Basel,Longitudinal Study Section, Translational Gerontology Branch
[10] National Institute on Alcohol Abuse and Alcoholism,Research Unit Molecular Epidemiology
[11] National Institutes of Health,Institute of Epidemiology
[12] University of Tartu,TUM School of Medicine
[13] Emory University School of Medicine,Department of Clinical Chemistry
[14] National Institute on Aging,Epidemiology, Biostatistics and Biodemography, Department of Public Health
[15] Helmholtz Zentrum München,Department of Clinical Genetics
[16] German Research Center for Environmental Health,Institute for Molecular Medicine Finland, FIMM, HiLIFE
[17] Helmholtz Zentrum München,Department of Biostatistics
[18] German Research Center for Environmental Health,Department of Genetics
[19] Technical University of Munich,Department of Epidemiology, School of Public Health
[20] Fimlab Laboratories,MRC Centre for Environment and Health, School of Public Health
[21] and Finnish Cardiovascular Research Center - Tampere,Department of Clinical Biochemistry and Pharmacology
[22] Faculty of Medicine and Health Technology,Department of Epidemiology and Biostatistics, School of Public Health
[23] Tampere University,Department of Twin Research and Genetic Epidemiology
[24] University of Southern Denmark,Department of Biomedical Sciences
[25] Odense University Hospital,Division of Pediatric Infectious Diseases, Department of Pediatrics
[26] University of Helsinki,Department of Biological Psychology
[27] University of Alabama at Birmingham,Cancer Epidemiology Division
[28] University of North Carolina at Chapel Hill,Department of Medical Epidemiology and Biostatistics
[29] University of Michigan,The Institute for Translational Genomics and Population Sciences, Department of Pediatrics
[30] Imperial College London,Department of Medicine
[31] Odense University Hospital,School of Public Health
[32] Peking University Health Science Center,Precision Medicine, School of Clinical Sciences at Monash Health
[33] King’s College London,Centre for Epidemiology and Biostatistics
[34] Chang Gung University,Department of Pathology & Laboratory Medicine, Larner College of Medicine
[35] Chang Gung Memorial Hospital,Department of Clinical Physiology
[36] Vrije Universiteit Amsterdam,Children’s Minnesota Research Institute
[37] Amsterdam Public Health Research Institute,Department of Biostatistics
[38] Cancer Council Victoria,Division of Psychiatry
[39] Karolinska Institutet,Section of General Internal Medicine, Department of Medicine
[40] Brown Foundation Institute of Molecular Medicine,TOPMed Data Coordinating Center, Genetic Analysis Center, Department of Biostatistics
[41] McGovern Medical School,Division of Epidemiology and Community Health
[42] University of Texas Health Science Center at Houston,Centre for Population Health Research
[43] National Institute of Environmental Health Sciences,Research Centre of Applied and Preventive Cardiovascular Medicine
[44] The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center,Department of Clinical Physiology and Nuclear Medicine
[45] University of Mississippi Medical Center,Department of Public Health Sciences, Center for Public Health Genomics
[46] University of Texas Health Science Center at Houston,Gerontology Research Center, Faculty of Sport and Health Sciences
[47] Monash University,Department of Psychiatry and Behavioral Sciences
[48] Melbourne School of Population and Global Health,Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center
[49] The University of Melbourne,Chair of Genetic Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine
[50] University of Vermont,Department of Epidemiology
来源
Genome Biology | / 22卷
关键词
DNA methylation; GWAS; Epigenetic clock;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 372 条
  • [1] Niccoli T(2012)Ageing as a risk factor for disease Curr Biol. 22 R741-R752
  • [2] Partridge L(2018)DNA methylation-based biomarkers and the epigenetic clock theory of ageing Nat Rev Genet. 19 371-384
  • [3] Horvath S(2018)Epigenetic prediction of complex traits and death Genome Biol. 19 136-1802
  • [4] Raj K(2019)An epigenetic score for BMI based on DNA methylation correlates with poor physical health and major disease in the Lothian Birth Cohort Int J Obes. 43 1795-432
  • [5] McCartney DL(2016)The epigenetic clock and telomere length are independently associated with chronological age and mortality Int J Epidemiol. 45 424-367
  • [6] Hillary RF(2015)DNA methylation age of blood predicts all-cause mortality in later life Genome Biol. 16 25-R787
  • [7] Stevenson AJ(2018)GWAS of epigenetic aging rates in blood reveals a critical role for TERT Nat Commun. 9 387-1142
  • [8] Hamilton OKL(2019)DNA methylation aging clocks: challenges and recommendations Genome Biol. 20 249-375
  • [9] Zhang Q(2011)Epigenetic predictor of age PLoS One. 6 e14821-82
  • [10] McRae AF(2013)Genome-wide methylation profiles reveal quantitative views of human aging rates Mol Cell. 49 359-1429