Epigenome-wide association study of triglyceride postprandial responses to a high-fat dietary challenge[S]

  1. José M. Ordovás§§
  1. USDA Agricultural Research Service,* Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
  2. Nutrition and Genomics Laboratory,§§ Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
  3. Department of Genetics, Washington University School of Medicine, St. Louis, MO
  4. Department of Epidemiology,§ School of Public Health, University of Alabama, Birmingham, AL
  5. Hudson Alpha Institute for Biotechnology,** Huntsville, AL
  6. College of Public Health,†† University of Kentucky, Lexington, KY
  1. 1To whom correspondence should be addressed. e-mail: chaoqiang.lai{at}ars.usda.gov

Abstract

Postprandial lipemia (PPL), the increased plasma TG concentration after consuming a high-fat meal, is an independent risk factor for CVD. Individual responses to a meal high in fat vary greatly, depending on genetic and lifestyle factors. However, only a few loci have been associated with TG-PPL response. Heritable epigenomic changes may be significant contributors to the unexplained inter-individual PPL variability. We conducted an epigenome-wide association study on 979 subjects with DNA methylation measured from CD4+ T cells, who were challenged with a high-fat meal as a part of the Genetics of Lipid Lowering Drugs and Diet Network study. Eight methylation sites encompassing five genes, LPP, CPT1A, APOA5, SREBF1, and ABCG1, were significantly associated with PPL response at an epigenome-wide level (P < 1.1 × 10−7), but no methylation site reached epigenome-wide significance after adjusting for baseline TG levels. Higher methylation at LPP, APOA5, SREBF1, and ABCG1, and lower methylation at CPT1A methylation were correlated with an increased TG-PPL response. These PPL-associated methylation sites, also correlated with fasting TG, account for a substantially greater amount of phenotypic variance (14.9%) in PPL and fasting TG (16.3%) when compared with the genetic contribution of loci identified by our previous genome-wide association study (4.5%). In summary, the epigenome is a large contributor to the variation in PPL, and this has the potential to be used to modulate PPL and reduce CVD.

Footnotes

  • Abbreviations:
    AUC
    area under the whole curve
    AUI
    area under the curve increase
    EWAS
    epigenome-wide association study
    GOLDN
    Genetics of Lipid Lowering Drugs and Diet Network
    GWAS
    genome-wide association study
    PC
    principal component
    PPL
    postprandial lipemia
    TRL
    TG-rich lipoprotein

  • This work was funded by the U.S. Department of Agriculture under agreement number 8050-51000-098-00D and by National Heart, Lung, and Blood Institute Grant U01-HL072524-04. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the view of the US Department of Agriculture. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture. The USDA is an equal opportunity provider and employer.

  • [S] The online version of this article (available at http://www.jlr.org) contains a supplement.

  • Received June 8, 2016.
  • Revision received October 16, 2016.

Author’s Choice—Final version free via Creative Commons CC-BY license.

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  1. The Journal of Lipid Research, 57, 2200-2207.
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