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      DNA methylation in the pathogenesis of type 2 diabetes in humans

      review-article
      , , 1 , 1
      Molecular Metabolism
      Elsevier
      Epigenetics, DNA methylation, Type 2 diabetes, BMI, body mass index, CIT, causal inference test, DMR, differentially methylated region, DNMT, DNA methyltransferase, eQTL, expression quantitative trait loci, EWAS, epigenome-wide association study, FH, family history, GWAS, genome-wide association study, HbA1c, glycated hemoglobin A1c, HDAC, histone deacetylase, HDL, high-density lipoprotein, HFD, high-fat diet, HOMA-IR, homeostatic model assessment for insulin resistance, LBW, low birth weight, MeDIP, methylated DNA immunoprecipitation, mQTL, methylation quantitative trait loci, MZ, monozygotic, NAFLD, non-alcoholic fatty liver disease, NASH, non-alcoholic steatohepatitis, NBW, normal birth weight, ncRNA, non-coding RNA, nt, nucleotide, OGTT, oral glucose-tolerance test, OXPHOS, oxidative phosphorylation, PUFA, polyunsaturated fatty acids, SFA, saturated fatty acids, SNP, single nucleotide polymorphism, T2D, type 2 diabetes, TSS, transcription start site, WGBS, whole-genome bisulfite sequencing

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          Abstract

          Background

          Type 2 diabetes (T2D) is a multifactorial, polygenic disease caused by impaired insulin secretion and insulin resistance. Genome-wide association studies (GWAS) were expected to resolve a large part of the genetic component of diabetes; yet, the single nucleotide polymorphisms identified by GWAS explain less than 20% of the estimated heritability for T2D. There was subsequently a need to look elsewhere to find disease-causing factors. Mechanisms mediating the interaction between environmental factors and the genome, such as epigenetics, may be of particular importance in the pathogenesis of T2D.

          Scope of Review

          This review summarizes knowledge of the impact of epigenetics on the pathogenesis of T2D in humans. In particular, the review will focus on alterations in DNA methylation in four human tissues of importance for the disease; pancreatic islets, skeletal muscle, adipose tissue, and the liver. Case–control studies and studies examining the impact of non-genetic and genetic risk factors on DNA methylation in humans will be considered. These studies identified epigenetic changes in tissues from subjects with T2D versus non-diabetic controls. They also demonstrate that non-genetic factors associated with T2D such as age, obesity, energy rich diets, physical activity and the intrauterine environment impact the epigenome in humans. Additionally, interactions between genetics and epigenetics seem to influence the pathogenesis of T2D.

          Conclusions

          Overall, previous studies by our group and others support a key role for epigenetics in the growing incidence of T2D.

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          Most cited references99

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          A genome-wide association study identifies novel risk loci for type 2 diabetes.

          Type 2 diabetes mellitus results from the interaction of environmental factors with a combination of genetic variants, most of which were hitherto unknown. A systematic search for these variants was recently made possible by the development of high-density arrays that permit the genotyping of hundreds of thousands of polymorphisms. We tested 392,935 single-nucleotide polymorphisms in a French case-control cohort. Markers with the most significant difference in genotype frequencies between cases of type 2 diabetes and controls were fast-tracked for testing in a second cohort. This identified four loci containing variants that confer type 2 diabetes risk, in addition to confirming the known association with the TCF7L2 gene. These loci include a non-synonymous polymorphism in the zinc transporter SLC30A8, which is expressed exclusively in insulin-producing beta-cells, and two linkage disequilibrium blocks that contain genes potentially involved in beta-cell development or function (IDE-KIF11-HHEX and EXT2-ALX4). These associations explain a substantial portion of disease risk and constitute proof of principle for the genome-wide approach to the elucidation of complex genetic traits.
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            High density DNA methylation array with single CpG site resolution.

            We have developed a new generation of genome-wide DNA methylation BeadChip which allows high-throughput methylation profiling of the human genome. The new high density BeadChip can assay over 480K CpG sites and analyze twelve samples in parallel. The innovative content includes coverage of 99% of RefSeq genes with multiple probes per gene, 96% of CpG islands from the UCSC database, CpG island shores and additional content selected from whole-genome bisulfite sequencing data and input from DNA methylation experts. The well-characterized Infinium® Assay is used for analysis of CpG methylation using bisulfite-converted genomic DNA. We applied this technology to analyze DNA methylation in normal and tumor DNA samples and compared results with whole-genome bisulfite sequencing (WGBS) data obtained for the same samples. Highly comparable DNA methylation profiles were generated by the array and sequencing methods (average R2 of 0.95). The ability to determine genome-wide methylation patterns will rapidly advance methylation research. Copyright © 2011 Elsevier Inc. All rights reserved.
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              DNA methylation profiling of human chromosomes 6, 20 and 22

              DNA methylation constitutes the most stable type of epigenetic modifications modulating the transcriptional plasticity of mammalian genomes. Using bisulfite DNA sequencing, we report high-resolution methylation reference profiles of human chromosomes 6, 20 and 22, providing a resource of about 1.9 million CpG methylation values derived from 12 different tissues. Analysis of 6 annotation categories, revealed evolutionary conserved regions to be the predominant sites for differential DNA methylation and a core region surrounding the transcriptional start site as informative surrogate for promoter methylation. We find 17% of the 873 analyzed genes differentially methylated in their 5′-untranslated regions (5′-UTR) and about one third of the differentially methylated 5′-UTRs to be inversely correlated with transcription. While our study was controlled for factors reported to affect DNA methylation such as sex and age, we did not find any significant attributable effects. Our data suggest DNA methylation to be ontogenetically more stable than previously thought.
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                Author and article information

                Contributors
                Journal
                Mol Metab
                Mol Metab
                Molecular Metabolism
                Elsevier
                2212-8778
                07 February 2018
                August 2018
                07 February 2018
                : 14
                : 12-25
                Affiliations
                [1]Epigenetics and Diabetes, Lund University Diabetes Centre (LUDC), Box 50332, 20213 Malmö, Sweden
                Author notes
                []Corresponding author. Department of Clinical Sciences, Epigenetics and Diabetes, Lund University, Lund University Diabetes Centre, CRC, Jan Waldenströms gata 35, S-205 02 Malmö, Sweden. Fax: +46 40391222. cajsa.davegardh@ 123456med.lu.se
                [1]

                Equal contribution.

                Article
                S2212-8778(17)31102-X
                10.1016/j.molmet.2018.01.022
                6034041
                29496428
                21c2541c-a940-449d-9d9d-0657cd9a8887
                © 2018 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 29 December 2017
                : 29 January 2018
                : 29 January 2018
                Categories
                Special Section on Epigenetics (2018)

                epigenetics,dna methylation,type 2 diabetes,bmi, body mass index,cit, causal inference test,dmr, differentially methylated region,dnmt, dna methyltransferase,eqtl, expression quantitative trait loci,ewas, epigenome-wide association study,fh, family history,gwas, genome-wide association study,hba1c, glycated hemoglobin a1c,hdac, histone deacetylase,hdl, high-density lipoprotein,hfd, high-fat diet,homa-ir, homeostatic model assessment for insulin resistance,lbw, low birth weight,medip, methylated dna immunoprecipitation,mqtl, methylation quantitative trait loci,mz, monozygotic,nafld, non-alcoholic fatty liver disease,nash, non-alcoholic steatohepatitis,nbw, normal birth weight,ncrna, non-coding rna,nt, nucleotide,ogtt, oral glucose-tolerance test,oxphos, oxidative phosphorylation,pufa, polyunsaturated fatty acids,sfa, saturated fatty acids,snp, single nucleotide polymorphism,t2d, type 2 diabetes,tss, transcription start site,wgbs, whole-genome bisulfite sequencing

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