Background The CAPICE project aims to 1) identify genetic variants associated with the occurrence and course of common childhood psychopathology including depression, anxiety and Attention Deficit Hyperactivity Disorder related traits, and establish the genetic overlap within childhood psychiatric disorders and with adult psychiatric disorders, 2) unravel the mechanisms underlying the associations between early lifestyle factors and childhood psychiatric disorders, 3) identify new drug targets, and 4) build a risk prediction model that identifies groups of children that are at highest risk to have persistent symptoms. This poster provides an overview of the plan to achieve these goals. Methods CAPICE is an international training network, funded by an EU Marie Curie grant, in which 12 PhD students will be trained in psychiatric genomics. This network will elaborate on the EArly Genetics and Lifecourse Epidemiology (EAGLE) consortium. EAGLE is a well-established collaboration of many birth and adolescent population based (twin and family) cohorts, with unique longitudinal information on lifestyle, family environment, health, and emotional and behavioral problems. Phenotypic and genome-wide data are available for over 60,000 children, in addition to genome-wide data for over 20,000 mothers and epigenome-wide data for over 6,000 children. Analyses will include (but will not be limited to) twin analyses, genome-wide association meta-analyses, polygenic analyses, Mendelian randomization, and biological pathway analyses. Results We expect that the results will provide insight into the etiology of mental health symptoms in children and adolescents and shed light on possible targets for prevention and intervention (e.g. by drug target validation or by tailoring treatment based on the risk for persisting symptoms). Discussion It is well known that psychiatric symptoms in childhood be the precursor of many psychiatric disorders during adulthood. Longitudinal population based cohorts provide a good opportunity to show how genetic factors influence development over the ages. Since these disorders are the extreme end of the continuum, collaborations with case-control samples may strengthen the results.
Read full abstract