An epigenome-wide association study of metabolic syndrome and its components

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作者
Marja-Liisa Nuotio
Natalia Pervjakova
Anni Joensuu
Ville Karhunen
Tero Hiekkalinna
Lili Milani
Johannes Kettunen
Marjo-Riitta Järvelin
Pekka Jousilahti
Andres Metspalu
Veikko Salomaa
Kati Kristiansson
Markus Perola
机构
[1] University of Helsinki,Institute for Molecular Medicine Finland (FIMM)
[2] National Institute for Health and Welfare,Genomics and Biobank Unit, Department of Public Health Solutions
[3] University of Helsinki,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine
[4] University of Tartu,Estonian Genome Center, Institute of Genomics
[5] University of Tartu,Department of Biotechnology, Institute of Molecular and Cell Biology
[6] University of Oulu,Center for Life Course Health Research
[7] Oulu University Hospital,Biocenter Oulu
[8] University of Oulu,Computational Medicine, Faculty of Medicine
[9] University of Oulu,Population Health Science, Bristol Medical School, University of Bristol and Medical Research Council Integrative Epidemiology Unit
[10] University of Bristol,Unit of Primary Health Care
[11] Oulu University Hospital,Department of Epidemiology and Biostatistics, MRC
[12] Imperial College London,PHE Centre for Environment and Health, School of Public Health
[13] Finnish Institute for Health and Welfare,undefined
来源
Scientific Reports | / 10卷
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摘要
The role of metabolic syndrome (MetS) as a preceding metabolic state for type 2 diabetes and cardiovascular disease is widely recognised. To accumulate knowledge of the pathological mechanisms behind the condition at the methylation level, we conducted an epigenome-wide association study (EWAS) of MetS and its components, testing 1187 individuals of European ancestry for approximately 470 000 methylation sites throughout the genome. Methylation site cg19693031 in gene TXNIP —previously associated with type 2 diabetes, glucose and lipid metabolism, associated with fasting glucose level (P = 1.80 × 10−8). Cg06500161 in gene ABCG1 associated both with serum triglycerides (P = 5.36 × 10−9) and waist circumference (P = 5.21 × 10−9). The previously identified type 2 diabetes–associated locus cg08309687 in chromosome 21 associated with waist circumference for the first time (P = 2.24 × 10−7). Furthermore, a novel HDL association with cg17901584 in chromosome 1 was identified (P = 7.81 × 10−8). Our study supports previous genetic studies of MetS, finding that lipid metabolism plays a key role in pathology of the syndrome. We provide evidence regarding a close interplay with glucose metabolism. Finally, we suggest that in attempts to identify methylation loci linking separate MetS components, cg19693031 appears to represent a strong candidate.
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