B2748 - External validation of a study concerning the effects of prenatal depressive symptoms on DNA methylation in school-aged children - 09/07/2017

B number: 
B2748
Principal applicant name: 
Anna Eichler | (Germany)
Co-applicants: 
PD Dr Hartmut Heinrich, Valeska Stonawski, Dr Stefan Frey
Title of project: 
External validation of a study concerning the effects of prenatal depressive symptoms on DNA methylation in school-aged children
Proposal summary: 

Despite diverse international diagnostic criteria, depression during pregnancy is very common with prevalence between 6 % and 38 % worldwide. Prenatal depressive symptoms are associated with changes in the cortisol system and are accepted as risk factors for future emotional problems in the child. Epigenetic DNA modifications are discussed as possible underlying mechanisms of this risk. DNA methylation is the most abundant epigenetic modification and has been linked to several disorders, such as PTSD, depression, schizophrenia or anxiety. However, studies are quite heterogenous in terms of tissues, methods and participants, as well as results. We conducted an epigenome-wide association study (EWAS) concerning DNA methylation changes due to maternal prenatal depressive symptoms in 167 children aged 6 to 9 years old. DNA was extracted from buccal cells and methylation was analyzed using the Infinium Human Methylation 450K BeadChip. We adjusted for sex, age and birth outcomes, and assessed effects of postnatal and current maternal depression simultaneously to detect the specific prenatal influence. Now we would like to validate our results in a larger external sample, the ALSPAC cohort. Considering the few and diverse EWASs published in this topic, replication of our results seem to be notably important.

Date proposal received: 
Tuesday, 20 September, 2016
Date proposal approved: 
Wednesday, 28 September, 2016
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Mental health, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Epigenetics, Statistical methods, Biological samples -e.g. blood, cell lines, saliva, etc., Childhood - childcare, childhood adversity, Genetics - e.g. epigenetics, mendelian randomisation, UK10K, sequencing, etc., Offspring, Statistical methods