Epigenetic associations of type 2 diabetes and BMI in an Arab population View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Wadha A. Al Muftah, Mashael Al-Shafai, Shaza B. Zaghlool, Alessia Visconti, Pei-Chien Tsai, Pankaj Kumar, Tim Spector, Jordana Bell, Mario Falchi, Karsten Suhre

ABSTRACT

BACKGROUND: The prevalence of type 2 diabetes (T2D) and obesity has dramatically increased within a few generations, reaching epidemic levels. In addition to genetic risk factors, epigenetic mechanisms triggered by changing environment are investigated for their role in the pathogenesis of these complex diseases. Epigenome-wide association studies (EWASs) have revealed significant associations of T2D, obesity, and BMI with DNA methylation. However, populations from the Middle East, where T2D and obesity rates are highest worldwide, have not been investigated so far. METHODS: We performed the first EWAS in an Arab population with T2D and BMI and attempted to replicate 47 EWAS associations previously reported in Caucasians. We used the Illumina Infinium HumanMethylation450 BeadChip to quantify DNA methylation in whole blood DNA from 123 subjects of 15 multigenerational families from Qatar. To investigate the effect of differing genetic background and environment on the epigenetic associations, we further assessed the effect of replicated loci in 810 twins from UK. RESULTS: Our EWAS suggested a novel association between T2D and cg06721411 (DQX1; p value = 1.18 × 10(-9)). We replicated in the Qatari population seven CpG associations with BMI (SOCS3, p value = 3.99 × 10(-6); SREBF1, p value = 4.33 × 10(-5); SBNO2, p value = 5.87 × 10(-5); CPT1A, p value = 7.99 × 10(-5); PRR5L, p value = 1.85 × 10(-4); cg03078551, intergenic region on chromosome 17; p value = 1.00 × 10(-3); LY6G6E, p value = 1.10 × 10(-3)) and one with T2D (TXNIP, p value = 2.46 × 10(-5)). All the associations were further confirmed in the UK cohort for both BMI and T2D. Meta-analysis increased the significance of the observed associations and revealed strong heterogeneity of the effect sizes (apart from CPT1A), although associations at these loci showed concordant direction in the two populations. CONCLUSIONS: Our study replicated eight known CpG associations with T2D or BMI in an Arab population. Heterogeneity of the effects at all loci except CPT1A between the Qatari and UK studies suggests that the underlying mechanisms might depend on genetic background and environmental pressure. Our EWAS results provide a basis for comparison with other ethnicities. More... »

PAGES

13

References to SciGraph publications

  • 2008-04. Epigenetic regulation of PPARGC1A in human type 2 diabetic islets and effect on insulin secretion in DIABETOLOGIA
  • 2010-12. Obesity related methylation changes in DNA of peripheral blood leukocytes in BMC MEDICINE
  • 2012-05-16. Diabetes in numbers in NATURE
  • 2012-12. DNA methylation arrays as surrogate measures of cell mixture distribution in BMC BIOINFORMATICS
  • 2011-11. Association of two polymorphisms within and near SOCS3 gene with obesity in three nationalities in Xinjiang province of China in ACTA PHARMACOLOGICA SINICA
  • 2009-03. Polymorphisms near SOCS3 are associated with obesity and glucose homeostasis traits in Hispanic Americans from the Insulin Resistance Atherosclerosis Family Study in HUMAN GENETICS
  • 2015-12. Association of DNA methylation with age, gender, and smoking in an Arab population in CLINICAL EPIGENETICS
  • 2003-03. Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals in NATURE GENETICS
  • 2008-03. Lack of association between the Pro12Ala polymorphism of the PPAR-γ2 gene and type 2 diabetes mellitus in the Qatari consanguineous population in ACTA DIABETOLOGICA
  • 2010-12. GWAMA: software for genome-wide association meta-analysis in BMC BIOINFORMATICS
  • 2009-10-08. Finding the missing heritability of complex diseases in NATURE
  • 2001-06. DQX1, an RNA-dependent ATPase homolog with a novel DEAQ box: expression pattern and genomic sequence comparison of the human and mouse genes in MAMMALIAN GENOME
  • 2015-12. An analysis of DNA methylation in human adipose tissue reveals differential modification of obesity genes before and after gastric bypass and weight loss in GENOME BIOLOGY
  • 2014-12. Evaluation of SNP calling using single and multiple-sample calling algorithms by validation against array base genotyping and Mendelian inheritance in BMC RESEARCH NOTES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13148-016-0177-6

    DOI

    http://dx.doi.org/10.1186/s13148-016-0177-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1030484410

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26823690


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