Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis

Monozygotic (MZ) twin pair discordance for childhood-onset Type 1 Diabetes (T1D) is ∼50%, implicating roles for genetic and non-genetic factors in the aetiology of this complex autoimmune disease. Although significant progress has been made in elucidating the genetics of T1D in recent years, the non-genetic component has remained poorly defined. We hypothesized that epigenetic variation could underlie some of the non-genetic component of T1D aetiology and, thus, performed an epigenome-wide association study (EWAS) for this disease. We generated genome-wide DNA methylation profiles of purified CD14+ monocytes (an immune effector cell type relevant to T1D pathogenesis) from 15 T1D–discordant MZ twin pairs. This identified 132 different CpG sites at which the direction of the intra-MZ pair DNA methylation difference significantly correlated with the diabetic state, i.e. T1D–associated methylation variable positions (T1D–MVPs). We confirmed these T1D–MVPs display statistically significant intra-MZ pair DNA methylation differences in the expected direction in an independent set of T1D–discordant MZ pairs (P = 0.035). Then, to establish the temporal origins of the T1D–MVPs, we generated two further genome-wide datasets and established that, when compared with controls, T1D–MVPs are enriched in singletons both before (P = 0.001) and at (P = 0.015) disease diagnosis, and also in singletons positive for diabetes-associated autoantibodies but disease-free even after 12 years follow-up (P = 0.0023). Combined, these results suggest that T1D–MVPs arise very early in the etiological process that leads to overt T1D. Our EWAS of T1D represents an important contribution toward understanding the etiological role of epigenetic variation in type 1 diabetes, and it is also the first systematic analysis of the temporal origins of disease-associated epigenetic variation for any human complex disease.

[1]  Christopher G. Hill,et al.  The effects of MicroRNA transfections on global patterns of gene expression in ovarian cancer cells are functionally coordinated , 2012, BMC Medical Genomics.

[2]  D. Balding,et al.  Epigenome-wide association studies for common human diseases , 2011, Nature Reviews Genetics.

[3]  上田 裕紀 Etiology of type 1 diabetes , 2011 .

[4]  Kristin Andrews,et al.  Evidence and implications , 2011 .

[5]  Ian M. Morison,et al.  Integrated Genetic and Epigenetic Analysis Identifies Haplotype-Specific Methylation in the FTO Type 2 Diabetes and Obesity Susceptibility Locus , 2010, PloS one.

[6]  A. Hämäläinen,et al.  Dietary intervention in infancy and later signs of beta-cell autoimmunity. , 2010, The New England journal of medicine.

[7]  Martin J. Aryee,et al.  Personalized Epigenomic Signatures That Are Stable Over Time and Covary with Body Mass Index , 2010, Science Translational Medicine.

[8]  Stephan Beck,et al.  Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus , 2010, BMC Medical Genomics.

[9]  T. Rauch,et al.  Global methylation profiling of lymphoblastoid cell lines reveals epigenetic contributions to autism spectrum disorders and a novel autism candidate gene, RORA, whose protein product is reduced in autistic brain , 2010, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[10]  Jeffrey A. Bluestone,et al.  Genetics, pathogenesis and clinical interventions in type 1 diabetes , 2010, Nature.

[11]  Fatima Al-Shahrour,et al.  Changes in the pattern of DNA methylation associate with twin discordance in systemic lupus erythematosus. , 2010, Genome research.

[12]  A. Feinberg,et al.  Stochastic epigenetic variation as a driving force of development, evolutionary adaptation, and disease , 2010, Proceedings of the National Academy of Sciences.

[13]  Judy H. Cho,et al.  Finding the missing heritability of complex diseases , 2009, Nature.

[14]  K. Gunderson,et al.  Genome-wide DNA methylation profiling using Infinium® assay. , 2009, Epigenomics.

[15]  D. Clayton Prediction and Interaction in Complex Disease Genetics: Experience in Type 1 Diabetes , 2009, PLoS genetics.

[16]  P. Visscher,et al.  DNA methylation profiles in monozygotic and dizygotic twins , 2009, Nature Genetics.

[17]  Olli Simell,et al.  Dysregulation of lipid and amino acid metabolism precedes islet autoimmunity in children who later progress to type 1 diabetes , 2008, The Journal of experimental medicine.

[18]  Johnny Ludvigsson,et al.  GAD treatment and insulin secretion in recent-onset type 1 diabetes. , 2008, The New England journal of medicine.

[19]  K. Mossman The Wellcome Trust Case Control Consortium, U.K. , 2008 .

[20]  Marian Rewers,et al.  The cation efflux transporter ZnT8 (Slc30A8) is a major autoantigen in human type 1 diabetes , 2007, Proceedings of the National Academy of Sciences.

[21]  宇野 彩 Macrophages and dendritic cells infiltrating islets with or without beta cells produce tumour necrosis factor-α in patients with recent-onset type 1 diabetes , 2007 .

[22]  I. Gut,et al.  Rapid identification of promoter hypermethylation in hepatocellular carcinoma by pyrosequencing of etiologically homogeneous sample pools. , 2007, The Journal of molecular diagnostics : JMD.

[23]  Simon C. Potter,et al.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.

[24]  Y. Matsuzawa,et al.  Macrophages and dendritic cells infiltrating islets with or without beta cells produce tumour necrosis factor-α in patients with recent-onset type 1 diabetes , 2007, Diabetologia.

[25]  S. Bustin,et al.  Altered Monocyte Cyclooxygenase Response to Lipopolysaccharide in Type 1 Diabetes , 2006, Diabetes.

[26]  J. Rogers,et al.  DNA methylation profiling of human chromosomes 6, 20 and 22 , 2006, Nature Genetics.

[27]  E. Richards Inherited epigenetic variation — revisiting soft inheritance , 2006, Nature Reviews Genetics.

[28]  S. Virtanen,et al.  Environmental triggers and determinants of type 1 diabetes. , 2005, Diabetes.

[29]  T. Spector,et al.  Epigenetic differences arise during the lifetime of monozygotic twins. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[30]  R. Leslie,et al.  Age-dependent influences on the origins of autoimmune diabetes: evidence and implications. , 2004, Diabetes.

[31]  J. Kaprio,et al.  Genetic liability of type 1 diabetes and the onset age among 22,650 young Finnish twin pairs: a nationwide follow-up study. , 2003, Diabetes.

[32]  A. Bird,et al.  Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals , 2003, Nature Genetics.

[33]  J. Bach,et al.  The effect of infections on susceptibility to autoimmune and allergic diseases. , 2002, The New England journal of medicine.

[34]  V. Rakyan,et al.  Metastable epialleles in mammals. , 2002, Trends in genetics : TIG.

[35]  G. Eisenbarth,et al.  Heterogeneity of Type I diabetes: analysis of monozygotic twins in Great Britain and the United States , 2001, Diabetologia.

[36]  P. Bingley,et al.  Progression to diabetes in relatives with islet autoantibodies. Is it inevitable? , 1999, Diabetes care.

[37]  A. Hutson,et al.  Aberrant prostaglandin synthase 2 expression defines an antigen-presenting cell defect for insulin-dependent diabetes mellitus. , 1999, The Journal of clinical investigation.

[38]  M. Lan,et al.  Value of Antibodies to Islet Protein Tyrosine Phosphatase–Like Molecule in Predicting Type 1 Diabetes , 1997, Diabetes.

[39]  W. Scherbaum,et al.  Epidemiology and Immunogenetic Background of Islet Cell Antibody–Positive Nondiabetic Schoolchildren: Ulm-Frankfurt Population Study , 1991, Diabetes.