B3231 - Understanding the effects of prenatal infections and other environmental and genetic risk factors on child development - 09/01/2019

B number: 
B3231
Principal applicant name: 
Bonnie Auyeung | University of Edinburgh (UK)
Co-applicants: 
Aja Murray, Tom Booth, Nicolas Chevalier, Michelle Luciano, Anna Hall, Lydia Speyer, Catherine Doust, Michael V. Lombardo
Title of project: 
Understanding the effects of prenatal infections and other environmental and genetic risk factors on child development
Proposal summary: 
Impact of research: 
Prenatal maternal infections are a potentially preventable risk factor, providing the opportunity to influence policy decisions around the prevention of maternal infection, provision of treatment and follow-up support after birth. Examining how maternal mental health may affect the relationship between infections and development will provide important information and guidance for health care practitioners in the fields of pre- and perinatal care. This work will also directly focus on the outcomes for children affected by prenatal maternal infections and mental health issues from areas with varying levels of deprivation, and help to guide policy and healthcare interventions to address inequalities. Findings will help to ensure the best possible start in life. Findings are expected to be of international interest. This work would be pivotal in helping to bridge a significant gap in our current understanding, which is limited to our knowledge from studies where hospital records are linked to diagnosis registers, where it is not possible to connect individual infection responses to specific behavioural outcomes in children.
Date proposal received: 
Friday, 14 December, 2018
Date proposal approved: 
Thursday, 20 December, 2018
Keywords: 
Epidemiology, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Developmental disorders - autism, Infection, Learning difficulty, Mental health, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Speech/language problem, GWAS, Microarrays, Statistical methods, Childhood - childcare, childhood adversity, Cognition - cognitive function, Development, Environment - enviromental exposure, pollution, Epigenetics, Genetic epidemiology, Genome wide association study, Mothers - maternal age, menopause, obstetrics, Statistical methods