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DNA methylome profiling in identical twin pairs discordant for body mass index.
Li, Weilong; Zhang, Dongfeng; Wang, Weijing; Wu, Yili; Mohammadnejad, Afsaneh; Lund, Jesper; Baumbach, Jan; Christiansen, Lene; Tan, Qihua.
Afiliação
  • Li W; Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
  • Zhang D; Division of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, China.
  • Wang W; Division of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, China.
  • Wu Y; Division of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, China.
  • Mohammadnejad A; Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
  • Lund J; Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
  • Baumbach J; Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
  • Christiansen L; Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
  • Tan Q; Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Int J Obes (Lond) ; 43(12): 2491-2499, 2019 12.
Article em En | MEDLINE | ID: mdl-31152155
ABSTRACT

OBJECTIVE:

Body mass index (BMI) serves as an important measurement of obesity and adiposity, which are highly correlated with cardiometabolic diseases. Although high heritability has been estimated, the identified genetic variants by genetic association studies only explain a small proportion of BMI variation. As an active effort for further exploring the molecular basis of BMI variation, large-scale epigenome-wide association studies have been conducted but with limited number of loci reported, perhaps due to poorly controlled confounding factors, including genetic factors. Being genetically identical, monozygotic twins discordant for BMI are ideal subjects for analyzing the epigenetic association between DNA methylation and BMI, providing perfect control on their genetic makeups largely responsible for BMI variation.

SUBJECTS:

We performed an epigenome-wide association study on BMI using 30 identical twin pairs (15 male and 15 female pairs) with age ranging from 39 to 72 years and degree of BMI discordance ranging from 3-7.5 kg/m2. Methylation data from whole blood samples were collected using the reduced representation bisulfite sequencing technique.

RESULTS:

After adjusting for blood cell composition and clinical variables, we identified 136 CpGs with p-value < 1e-4, 30 CpGs with p < 1e-05 but no CpGs reached genome-wide significance. Genomic region-based analysis found 11 differentially methylated regions harboring coding and non-coding genes some of which were validated by gene expression analysis on independent samples.

CONCLUSIONS:

Our DNA methylation sequencing analysis on identical twins provides new references for the epigenetic regulation on BMI and obesity.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Gêmeos Monozigóticos / Índice de Massa Corporal / Metilação de DNA / Epigênese Genética / Epigenoma Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Obes (Lond) Assunto da revista: METABOLISMO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Gêmeos Monozigóticos / Índice de Massa Corporal / Metilação de DNA / Epigênese Genética / Epigenoma Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Obes (Lond) Assunto da revista: METABOLISMO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Dinamarca