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Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins.

Publication ,  Journal Article
Hannon, E; Knox, O; Sugden, K; Burrage, J; Wong, CCY; Belsky, DW; Corcoran, DL; Arseneault, L; Moffitt, TE; Caspi, A; Mill, J
Published in: PLoS genetics
August 2018

Variation in DNA methylation is being increasingly associated with health and disease outcomes. Although DNA methylation is hypothesized to be a mechanism by which both genetic and non-genetic factors can influence the regulation of gene expression, little is known about the extent to which DNA methylation at specific sites is influenced by heritable as well as environmental factors. We quantified DNA methylation in whole blood at age 18 in a birth cohort of 1,464 individuals comprising 426 monozygotic (MZ) and 306 same-sex dizygotic (DZ) twin pairs. Site-specific levels of DNA methylation were more strongly correlated across the genome between MZ than DZ twins. Structural equation models revealed that although the average contribution of additive genetic influences on DNA methylation across the genome was relatively low, it was notably elevated at the highly variable sites characterized by intermediate levels of DNAm that are most relevant for epigenetic epidemiology. Sites at which variable DNA methylation was most influenced by genetic factors were significantly enriched for DNA methylation quantitative trait loci (mQTL) effects, and overlapped with sites where inter-individual variation correlates across tissues. Finally, we show that DNA methylation at sites robustly associated with environmental exposures such as tobacco smoking and obesity is also influenced by additive genetic effects, highlighting the need to control for genetic background in analyses of exposure-associated DNA methylation differences. Estimates of the contribution of genetic and environmental influences to DNA methylation at all sites profiled in this study are available as a resource for the research community (http://www.epigenomicslab.com/online-data-resources).

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Published In

PLoS genetics

DOI

EISSN

1553-7404

ISSN

1553-7390

Publication Date

August 2018

Volume

14

Issue

8

Start / End Page

e1007544

Related Subject Headings

  • Twins, Monozygotic
  • Twins, Dizygotic
  • Tobacco Smoking
  • Quantitative Trait Loci
  • Male
  • Longitudinal Studies
  • Linear Models
  • Humans
  • Genome, Human
  • Genetic Association Studies
 

Citation

APA
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Hannon, E., Knox, O., Sugden, K., Burrage, J., Wong, C. C. Y., Belsky, D. W., … Mill, J. (2018). Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins. PLoS Genetics, 14(8), e1007544. https://doi.org/10.1371/journal.pgen.1007544
Hannon, Eilis, Olivia Knox, Karen Sugden, Joe Burrage, Chloe C. Y. Wong, Daniel W. Belsky, David L. Corcoran, et al. “Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins.PLoS Genetics 14, no. 8 (August 2018): e1007544. https://doi.org/10.1371/journal.pgen.1007544.
Hannon E, Knox O, Sugden K, Burrage J, Wong CCY, Belsky DW, et al. Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins. PLoS genetics. 2018 Aug;14(8):e1007544.
Hannon, Eilis, et al. “Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins.PLoS Genetics, vol. 14, no. 8, Aug. 2018, p. e1007544. Epmc, doi:10.1371/journal.pgen.1007544.
Hannon E, Knox O, Sugden K, Burrage J, Wong CCY, Belsky DW, Corcoran DL, Arseneault L, Moffitt TE, Caspi A, Mill J. Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins. PLoS genetics. 2018 Aug;14(8):e1007544.

Published In

PLoS genetics

DOI

EISSN

1553-7404

ISSN

1553-7390

Publication Date

August 2018

Volume

14

Issue

8

Start / End Page

e1007544

Related Subject Headings

  • Twins, Monozygotic
  • Twins, Dizygotic
  • Tobacco Smoking
  • Quantitative Trait Loci
  • Male
  • Longitudinal Studies
  • Linear Models
  • Humans
  • Genome, Human
  • Genetic Association Studies