Genome-wide methylation analysis identifies ELOVL5 as an epigenetic biomarker for the risk of type 2 diabetes mellitus View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Joo-Yeon Hwang, Hyo Jung Lee, Min Jin Go, Han Byul Jang, Nak-Hyun Choi, Jae Bum Bae, Juan E. Castillo-Fernandez, Jordana T. Bell, Tim D. Spector, Hye-Ja Lee, Bong-Jo Kim

ABSTRACT

Genome-wide DNA methylation has been implicated in complex human diseases. Here, we identified epigenetic biomarkers for type 2 diabetes (T2D) underlying obesogenic environments. In a blood-based DNA methylation analysis of 11 monozygotic twins (MZTW) discordant for T2D, we discovered genetically independent candidate methylation sites. In a follow-up replication study (17 MZTW pairs) for external validation, we replicated the T2D-association at a novel CpG signal in the ELOVL fatty acid elongase 5 (ELOVL5) gene specific to T2D-discordant MZTW. For concordant DNA methylation signatures in tissues, we further confirmed that a CpG site (cg18681426) was associated with adipogenic differentiation between human preadipocytes and adipocytes isolated from the same biopsy sample. In addition, the ELOVL5 gene was significantly differentially expressed in adipose tissues from unrelated T2D patients and in human pancreatic islets. Our results demonstrate that blood-derived DNA methylation is associated with T2D risk as a proxy for cumulative epigenetic status in human adipose and pancreatic tissues. Moreover, ELOVL5 expression was increased in cellular and mouse models of induced obesity-related diabetes. These findings may provide new insights into epigenetic architecture by uncovering methylation-based biomarkers. More... »

PAGES

14862

References to SciGraph publications

  • 2013-05. Identification of CpG-SNPs associated with type 2 diabetes and differential DNA methylation in human pancreatic islets in DIABETOLOGIA
  • 2014-07. Epigenetics of discordant monozygotic twins: implications for disease in GENOME MEDICINE
  • 2012-12. The Genetic and Epigenetic Basis of Type 2 Diabetes and Obesity in CLINICAL PHARMACOLOGY & THERAPEUTICS
  • 2015-12. Genome-wide blood DNA methylation alterations at regulatory elements and heterochromatic regions in monozygotic twins discordant for obesity and liver fat in CLINICAL EPIGENETICS
  • 2008-03. Molecular and metabolic mechanisms of insulin resistance and β-cell failure in type 2 diabetes in NATURE REVIEWS MOLECULAR CELL BIOLOGY
  • 2016-03-31. Blood-based biomarkers of age-associated epigenetic changes in human islets associate with insulin secretion and diabetes in NATURE COMMUNICATIONS
  • 2009-04. A simple two-step protocol for the purification of human pancreatic beta cells in DIABETOLOGIA
  • 2016-01. Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults in DIABETOLOGIA
  • 2014-11. Comprehensive analysis of DNA methylation data with RnBeads in NATURE METHODS
  • 2015-12. Recent developments on the role of epigenetics in obesity and metabolic disease in CLINICAL EPIGENETICS
  • 2013-08. From promises to practical strategies in epigenetic epidemiology in NATURE REVIEWS GENETICS
  • 2011-08. Epigenome-wide association studies for common human diseases in NATURE REVIEWS GENETICS
  • 2013-12. DNA methylation of the glucagon-like peptide 1 receptor (GLP1R) in human pancreatic islets in BMC MEDICAL GENETICS
  • 2014-12. An integrated epigenomic analysis for type 2 diabetes susceptibility loci in monozygotic twins in NATURE COMMUNICATIONS
  • 2010-02. A genome-wide perspective of genetic variation in human metabolism in NATURE GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-018-33238-9

    DOI

    http://dx.doi.org/10.1038/s41598-018-33238-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107353342

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30291282


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