4.7 Article

Genome-wide average DNA methylation is determined in utero

Journal

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
Volume 47, Issue 3, Pages 908-916

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/ije/dyy028

Keywords

Epigenomics; DNA methylation; twin study

Funding

  1. Australian National Health and Medical Research Council (NHMRC) [437015, 607358]
  2. Bonnie Babes Foundation [BBF20704]
  3. Financial Markets Foundation for Children [032-2007]
  4. Victorian Government's Operational Infrastructure Support Program
  5. NHMRC [1010374, 496667, 1046880, 1050561, 1079102, 1045325, 613608, 1011618, 1026892, 1026522, 1050198, 623206, 209057, 1074383, 1043616]
  6. Research of Korea Centers for Disease Control, and Prevention [2014-E71004-00]
  7. National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [NRF2017R1A2B2002136]
  8. Centre for Research Excellence Grant from the NHMRC [1079102]
  9. Cancer Australia
  10. National Breast Cancer Foundation [509307]
  11. Wellcome Trust [081917/Z/07/Z]
  12. National Institute for Health Research BioResource Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust
  13. King's College London
  14. Centre of Research Excellence Grant from the NHMRC [1079102]
  15. NHMRC/Australian Research Council Strategic Award [401162]
  16. University of Melbourne
  17. Australian Postgraduate Award (international)
  18. International Postgraduate Research Scholarship
  19. NHMRC

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Background: Investigating the genetic and environmental causes of variation in genome-wide average DNA methylation (GWAM), a global methylation measure from the HumanMethylation450 array, might give a better understanding of genetic and environmental influences on methylation. Methods: We measured GWAM for 2299 individuals aged 0 to 90 years from seven twin and/or family studies. We estimated familial correlations, modelled correlations with cohabitation history and fitted variance components models for GWAM. Results: The correlation in GWAM for twin pairs was similar to 0.8 at birth, decreased with age during adolescence and was constant at similar to 0.4 throughout adulthood, with no evidence that twin pair correlations differed by zygosity. Non-twin first-degree relatives were correlated, from 0.17 [95% confidence interval (CI): 0.05-0.30] to 0.28 (95% CI: 0.08-0.48), except for middle-aged siblings (0.01, 95% CI: -0.10-0.12), and the correlation increased with time living together and decreased with time living apart. Spouse pairs were correlated in all studies, from 0.23 (95% CI: 0.3-0.43) to 0.31 (95% CI: 0.05-0.52), and the correlation increased with time living together. The variance explained by environmental factors shared by twins alone was 90% (95% CI: 74-95%) at birth, decreased in early life and plateaued at 28% (95% CI: 17-39%) in middle age and beyond. There was a cohabitation-related environmental component of variance. Conclusions: GWAM is determined in utero by prenatal environmental factors, the effects of which persist throughout life. The variation of GWAM is also influenced by environmental factors shared by family members, as well as by individual-specific environmental factors.

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