B3917 - Gene-gene gene-enviroenment interaction and risk prediction of pediatric mental disorders multi-omics data analysis of ALSPAC - 17/02/2022
B number:
B3917
Principal applicant name:
Ruyang Zhang | Department of Biostatistics, Nanjing Medical University [https://gwxy.njmu.edu.cn/2017/0718/c8948a98532/page.htm] (China)
Co-applicants:
Minjun Ji, Hao Chang, Jiajin Chen
Title of project:
Gene-gene, gene-enviroenment interaction and risk prediction of pediatric mental disorders: multi-omics data analysis of ALSPAC
Proposal summary:
Growing evidence shows that the environment exposure and molecular level of maternal conditions might affect mental health of children; However, the relationships remained elusive. In this project, we aimed to study the interaction effects between genes and genes (G×G), genes and environments (G×E), as well as environments and environments (E×E). Furthermore, by combining both main effects and interaction effects of genes and environments, we want to construct a prediction model for children depression.
Impact of research:
The biomarkers of genes and environments (G×E) interactions might provide insight into mechanisms underpinning mental disorders and further substantially contribute to the accuracy of risk prediction model.
The prediction model posses the capability to identify children at high risk of mental disorders, and aid physicians in making clinical decisions or guiding adjuvant therapy.
Date proposal received:
Wednesday, 24 November, 2021
Date proposal approved:
Thursday, 17 February, 2022
Keywords:
Genetic epidemiology (including association studies and mendelian randomisation), Mental health, Statistical methods, Childhood - childcare, childhood adversity