Treatment for mental illness often focuses on changing cognitive patterns (for example, cognitive behavioural therapy). There is much evidence to suggest that cognition is different in those with mental illness but whether change in cognition is a causal risk factor has not yet been established. Classic observational studies of cognitive patterns and mental illness do not get around the problems of reverse causation and residual confounding. That is to say that the change in cognition might instead emerge as a result of the mental illness, or both might be the result of other unmeasured factors.

One way to get around this is using Mendelian randomisation. Here we take genetic variants associated with the trait of interest: cognition and use them to naturally randomise individuals to levels of the exposure. Therefore, analogous to a randomised control trial, we can make conclusions about whether or not the relationship is causal. In this study, we will be looking at the cognitive traits of emotion recognition, working memory, cognitive styles and impulsivity. This research could inform the development of cognitive training tasks as interventions for mental illness.

Socioeconomic disparities in health across the life-course are well-documented, long-standing, and consequential. Research suggests that a significant proportion of the social gradient in health is due to SES differences in health-risk behaviors. Scholarship investigating the underlying mechanisms whereby lower SES increases health-risk behavior points to the mediating role of risk-increasing (or ‘riskogenic’) psychosocial schemas. Specifically, evidence suggests that social context and experiences in development, which are patterned by one’s social position, calibrate psychosocial orientations, including impulsivity or self-control, sensation seeking, and hostile views of relationships, which influence health-risk behaviors and health outcomes. Although the past decade has seen a spate of published GE-health research, few studies have focused on the role of G-E interplay in shaping psychosocial schemas as mechanisms through which SES adversity shapes health disparities. This project will investigate the effects of SES adversity on changes in psychosocial schemas, conceived as socially-calibrated and genetically-influenced endophenotypes which link SES adversity to increased health risk-behaviors. Additionally, although we know that social experiences “get under the skin” to have enduring effects on health outcomes, we lack knowledge on the biological pathways through which such effects persist. Thus, second, and more innovatively, we will engage with the nascent field of social epigenetics to examine DNA methylation (DNAm) as a biological mechanism through which SES-adversity calibrates psychosocial schemas. In this project, we will investigate the DNAm patterns underlying psychosocial adaptations to SES adversity that increase health-risk behaviors, building on work that identifies DNAm as an important molecular underpinning of experience-dependent changes in cognitions, decision-making, and behavior.

This study aims at exploring the possible influence of genetic and epigenetic variants in the newborn brain on neurologic and mental traits and outcomes. This project aims to combine research from the Bristol Neonatal Gene Study and from ALSPAC. This will represent an interesting opportunity to study in detail the effect of specific genetic and epigenetic variants both in newborns and in childhood. We specifically aim to study the main candidate pathways involved in perinatal brain injuries (glutamate signalling and inflammation) and long-term motor, cognitive and behavioural outcomes. We have produced interesting preliminary findings within the Bristol Neonatal Gene Study, which support the involvement of candidate genetic variants in the glutamate signalling and inflammation pathways. The ALSPAC cohort provides a unique opportunity to validate and add to these findings in a large sample with genetic, epigenetic and phenotypic data collected longitudinally from birth to childhood. With the availability of maternal data, it also offers the opportunity to expand the analysis to maternal-neonatal gene-gene and gene-environment interactions. We have the appropriate expertise in genetic and epigenetic research required for this project. In addition, we are coupling this approach with in vivo work on animal models of newborn brain injuries, exploring the (dys)regulation of key genes involved in glutamate transport and inflammation during perinatal insults.

27 SEPT 08 Update from Robyn - The data collection for this project is complete. A number of manuscripts are under various stages of completion.

Peer victimization is a widespread phenomenon with many harmful and persistent consequences, such as anxiety, depression, and even suicidal ideation. However, consequences of can vary widely in presentation and severity, which hinders development of appropriate interventions targeted at alleviating the effects of peer victimization. This may in part stem from the fact that little is known about the biological mechanism through which bullying affects children's psychological development and wellbeing. Therefore, we aim to study how peer victimization is related to epigenetic development and explore to what extent epigenetics mediate the association between peer victimization and negative outcomes in children. We will do this by combining data of two large comparable cohorts, ALSPAC in England and Generation R in Holland.

Research suggests that children who reach puberty early are at risk of poorer health and wellbeing. Such ‘early maturing’ children also tend to take part in riskier health behaviours, such as smoking, drinking alcohol and risky sexual activity. However, most studies look at these links at a single point in time, which limits how confident we can be that early maturing causes poorer wellbeing. Few studies have looked at what factors may increase or decrease some of these risks. Our study aims to use the ALSPAC data explore three questions relating to the longer-term health risks of adolescents who mature early. The first builds on work we have done with parents, showing many believe we should judge whether or not a child is overweight differently if they are an early maturer, to avoid labeling them as overweight when they are not. This is a particularly important time to consider how we respond to children's weights, as it is the point at which over 95% of children in England are weighed and measured as part of the National Child Measurement Programme. Some parents have been strong critics of this process, so public health teams and parents alike are interested in exploring how we could interpret and use this information better. To explore whether it is appropriate to use the same means of classifying early and on-time maturers as overweight, we will apply an adjustment for maturity to our calculations of weight status for children at age 11, and explore whether this is a better way of predicting which children will have higher/lower future health risks at age 17 (including obesity, blood pressure and other risk factors). Second, we will compare which factor at at age 10/11 is the stronger predictor of wellbeing in later adolescence; being overweight, or maturing early. Finally, to explore what factors might help children to avoid some of the potential consequences of maturing early, we will look at whether children’s views of the strength and importance of their relationships with parents and peers influence the effect of being an early maturer on their wellbeing by the age of 17 (including depression, positive wellbeing, and risk behaviours such as smoking and drinking).

There are small chemicals that can be added to or removed from genes. These chemical changes may be related to changes in various human traits. For example smoking may cause a decrease in the number of these chemicals present at one or many genes. Currently it is not fully understood how these chemical changes are related to changes in human traits and this project aims to assess how chemical changes across many genes may relate to changes in human traits.

Major depressive disorder (MDD) is the most common mental illness and is the single leading cause of years lived with disability. Depression that begins early (by the early 20s) predicts particularly poor mental health and social outcomes and a chronic and relapsing course of symptoms over time. The strongest and most common risk factor for early-onset MDD is depression in a parent – this risk is likely to involve both environmental and inherited components.

In this project, we will characterise the trajectory of depressive symptomatology over adolescence and early adult life. We will test whether antecedent risk and protective factors identified in previous work influence the trajectory of symptoms over time. We will develop an algorithm to quantify individual risk for early-onset depression.