Maternal gestational weight gain and DNA methylation in young women: application of life course mediation methods. (December 2017)

• Record Type: Journal Article
• Authors: Huang, Jonathan Y; Siscovick, David S; Hochner, Hagit; Friedlander, Yechiel; Enquobahrie, Daniel A
• Is Part Of: Epigenomics. Volume 9:Number 12(2017)
• Page Start: 1559
• Page End: 1571
• Publication Date: 2017-12
• Subjects: ABCA1 -- candidate gene -- DNA methylation -- DOHaD -- gestational weight gain -- intermediate confounding -- marginal structural model -- parametric g-formula; Epigenesis -- Periodicals; Genomics -- Periodicals; Chromatin -- Periodicals; DNA -- Periodicals; 572.87
• DOI: 10.2217/epi-2017-0085
• Languages: English
• ISSNs: 1750-1911

Abstract

Aim: To investigate the role of maternal gestational weight gain (GWG) and prepregnancy BMI on programming offspring DNA methylation.Methods: Among 589 adult (age = 32) women participants of the Jerusalem Perinatal Study, we quantified DNA methylation in five candidate genes. We used inverse probability-weighting and parametric g-formula to estimate direct effects of maternal prepregnancy BMI and GWG on methylation.Results: Higher maternal GWG, but not prepregnancy BMI, was inversely related to offspring ABCA1 methylation (β = -1.1% per quartile; 95% CI: -2.0, -0.3) after accounting for ancestry, parental and offspring exposures. Total and controlled direct effects were nearly identical suggesting included offspring exposures did not mediate this relationship. Results were robust to sensitivity analyses for missing data and model specification.Conclusion: We find some support for epigenetic programming and highlight strengths and limitations of these methods relative to other prevailing approaches.