B4775 - Intergenerational Trajectories of Depression Maternal Mental Health Genetic Susceptibility and Family Dynamics - 09/12/2024

B number: 
B4775
Principal applicant name: 
Yanmiao Cao | Shandong Normal University (China)
Co-applicants: 
Xiaqing Qin, M.D.
Title of project: 
Intergenerational Trajectories of Depression: Maternal Mental Health, Genetic Susceptibility, and Family Dynamics
Proposal summary: 

There is a growing body of evidence suggesting that maternal depression during pregnancy and the postnatal period can have profound and lasting effects on the mental health of offspring, particularly in terms of depression. This study aims to explore the intergenerational trajectories of depression, focusing on the role of maternal mental health, genetic susceptibility, and family dynamics as potential mediators and moderators in the transmission of depression from mother to child.

Building on previous research that has established a link between maternal depression and offspring mental health outcomes (Goodman et al., 2018), this project will employ a longitudinal approach to examine the trajectory of maternal depression and its influence on the development of offspring depression. We will explore the genetic underpinnings of depression by incorporating genetic risk scores (GRS) to assess the genetic liability within families. This approach allows us to understand not just the environmental transmission but also the genetic contribution to the intergenerational pattern of depression.

The study will also investigate the mediating role of family dynamics, such as parenting practices and the parent-child relationship, in the association between maternal depression and offspring depression. The impact of paternal involvement and the couple relationship quality on maternal postpartum depression and child development will be considered.

Impact of research: 
The findings from this project will contribute to a more nuanced understanding of the complex interplay between maternal mental health, genetic predispositions, and family dynamics in the development of offspring depression. By identifying key periods of vulnerability and potential intervention points, our research can inform the development of targeted strategies to mitigate the long-term adverse effects of maternal depression on offspring. The insights gained are expected to be instrumental in shaping public policies and intervention programmes aimed at reducing the intergenerational cycle of depression and associated adverse outcomes.
Date proposal received: 
Sunday, 8 December, 2024
Date proposal approved: 
Monday, 9 December, 2024
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Mental health, Computer simulations/modelling/algorithms, GWAS, Statistical methods, Biological samples -e.g. blood, cell lines, saliva, etc., Cohort studies - attrition, bias, participant engagement, ethics, Childhood - childcare, childhood adversity, Cognition - cognitive function, Genomics, Mothers - maternal age, menopause, obstetrics, Offspring, Parenting, Sex differences