Epigenome-wide association study of systemic effects of obesity susceptibility in human twins

被引:3
|
作者
Duncan, Glen E. [1 ]
Avery, Ally [1 ]
Maamar, Millissia Ben [2 ]
Nilsson, Eric E. [2 ]
Beck, Daniel [2 ]
Skinner, Michael K. [2 ]
机构
[1] Washington State Univ, Elson S Floyd Coll Med, Dept Nutr & Exercise Physiol, Spokane, WA USA
[2] Washington State Univ, Ctr Reprod Biol, Sch Biol Sci, Pullman, WA USA
关键词
Twin; epigenetics; obesity; DNA methylation; WGCNA; EWAS; EPIGENETIC TRANSGENERATIONAL INHERITANCE; GENES;
D O I
10.1080/15592294.2023.2268834
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The current study was designed to use an epigenome-wide association approach (EWAS) to identify potential systemic DNA methylation alterations that are associated with obesity using 22 discordant twin pairs. Buccal cells (from a cheek swab) were used as a non-obesity relevant purified marker cell for the epigenetic analysis. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins. An edgeR analysis provided a DMR signature with p < 1e-04, but statistical significance was reduced due to low sample size and known multiple origins of obesity. A weighted gene coexpression network analysis (WGCNA) was performed and identified modules (p < 0.005) of epigenetic sites that correlated with different metabolic and dietary measures. The DMR and WGCNA epigenetic sites were near genes (e.g., CIDEC, SPP1, ZFPG9, and POMC) with previously identified obesity associated pathways (e.g., metabolism, cholesterol, and fat digestion). Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes. The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] EWAS: epigenome-wide association study software 2.0
    Xu, Jing
    Zhao, Linna
    Liu, Di
    Hu, Simeng
    Song, Xiuling
    Li, Jin
    Lv, Hongchao
    Duan, Lian
    Zhang, Mingming
    Jiang, Qinghua
    Liu, Guiyou
    Jin, Shuilin
    Liao, Mingzhi
    Zhang, Meng
    Feng, Rennan
    Kong, Fanwu
    Xu, Liangde
    Jiang, Yongshuai
    BIOINFORMATICS, 2018, 34 (15) : 2657 - 2658
  • [42] Epigenome-Wide Association Meta-Analysis of Obesity in African Americans
    Ferrier, Kendra
    Lange, Ethan
    Rotter, Jerome I.
    Rich, Stephen S.
    van der Berg, David
    Kasela, Silva
    Lange, Leslie
    CIRCULATION, 2023, 147
  • [43] Estimands in epigenome-wide association studies
    Kruppa, Jochen
    Sieg, Miriam
    Richter, Gesa
    Pohrt, Anne
    CLINICAL EPIGENETICS, 2021, 13 (01)
  • [44] Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study
    Braun, Kim V. E.
    Dhana, Klodian
    de Vries, Paul S.
    Voortman, Trudy
    van Meurs, Joyce B. J.
    Uitterlinden, Andre G.
    Hofman, Albert
    Hu, Frank B.
    Franco, Oscar H.
    Dehghan, Abbas
    CLINICAL EPIGENETICS, 2017, 9
  • [45] Estimands in epigenome-wide association studies
    Jochen Kruppa
    Miriam Sieg
    Gesa Richter
    Anne Pohrt
    Clinical Epigenetics, 2021, 13
  • [46] Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study
    Kim V. E. Braun
    Klodian Dhana
    Paul S. de Vries
    Trudy Voortman
    Joyce B. J. van Meurs
    Andre G. Uitterlinden
    Albert Hofman
    Frank B. Hu
    Oscar H. Franco
    Abbas Dehghan
    Clinical Epigenetics, 2017, 9
  • [47] An Epigenome-Wide Study to Identify DNA Methylation that Associates with Obesity
    Chen, Peng
    Piaggi, Paolo
    Kobes, Sayuko
    Bogardus, Clifton, III
    Hanson, Robert L.
    Baier, Leslie J.
    DIABETES, 2017, 66 : A551 - A551
  • [48] DNA methylation and waist-to-hip ratio: an epigenome-wide association study in Chinese monozygotic twins
    Y. Wu
    H. Tian
    W. Wang
    W. Li
    H. Duan
    D. Zhang
    Journal of Endocrinological Investigation, 2022, 45 : 2365 - 2376
  • [49] DNA methylation and waist-to-hip ratio: an epigenome-wide association study in Chinese monozygotic twins
    Wu, Y.
    Tian, H.
    Wang, W.
    Li, W.
    Duan, H.
    Zhang, D.
    JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 2022, 45 (12) : 2365 - 2376
  • [50] Epigenome-wide association study detects a novel loci associated with central obesity in healthy subjects
    Xie, Ting
    Gorenjak, Vesna
    Stathopoulou, Maria G.
    Dade, Sebastien
    Marouli, Eirini
    Masson, Christine
    Murray, Helena
    Lamont, John
    Fitzgerald, Peter
    Deloukas, Panos
    Visvikis-Siest, Sophie
    BMC MEDICAL GENOMICS, 2021, 14 (01)