B3210 - Variably methylated regions in the newborn epigenome environmental genetic and combined influences - 20/11/2018

B number: 
B3210
Principal applicant name: 
Darina Czamara | Max-Planck-Institut of Psychiatry
Co-applicants: 
Dr. Elisabeth Binder
Title of project: 
Variably methylated regions in the newborn epigenome: environmental, genetic and combined influences
Proposal summary: 

Fetal programming describes the process where environmental events during pregnancy, such as maternal smoking for instance, shape the development of the embryo. One possible mechanism is DNA methylation, where a methyl-group is added to a DNA molecule. Also common variation in the DNA itself can influence DNA methylation. In this project we aim to assess the impact of common DNA variation, prenatal environment, and their combined effects on DNA methylation in newborns.

Impact of research: 
Our results support that a more complete picture of factors influencing DNA methylation should include genotype information and could also help to detect environmental influences that may only be unmasked in the context of a specific genetic background. This highlights the importance of including both individual genetic differences as well as environmental phenotypes into epigenetic studies and also the importance of improving our ability to identify environmental associations. Our data also support the disease relevance of variants predicting DNA methylation together with the environment beyond main meQTL effects, and the view that there are functional differences of additive and interactive effects of genes and environment on DNA methylation. Improved understanding of these functional differences may also yield novel insights into pathophysiological mechanisms of common non-communicable diseases, as risk for all of these disorders is driven by both genetic and environmental factors.
Date proposal received: 
Monday, 19 November, 2018
Date proposal approved: 
Tuesday, 20 November, 2018
Keywords: 
Genetics, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Statistical methods, Birth outcomes, Childhood - childcare, childhood adversity, Development, Environment - enviromental exposure, pollution, Epigenetics, Genetics, Mothers - maternal age, menopause, obstetrics, Offspring, Statistical methods