Our Co-investigator, Ralph Hood, has undertaken studies of individuals who have left their religion and those who have stayed or converted using longitudinal data in two countries – Germany and the USA. ALSPAC provides a valuable data set to investigate whether the factors that predict such events are similar in the UK, and whether the individual that makes such a change benefits psychologically in the longer term.

Human activity is having a dramatic impact on our planet's climate, and measures to reduce carbon emissions to limit to extent of this climate change are urgently needed. In this project, using the recently-collected climate change data in ALSPAC we aim to explore the factors associated with climate change beliefs and behaviours, with a specific focus on both behaviours relating to sustainable diets (i.e., reduction of meat and/or dairy consumption) and religious/spiritual beliefs and behaviours (RSBB).

Complex disorders such as psychiatric conditions often arise from varying combinations of genetic and environmental factors. This represents a major problem for drug development, as the cause of the disease is highly variable from person to person, and as such, drug response rates vary significantly. By examining an individual’s unique genetic risk factors, treatment response rates could theoretically be increased by improving subcategorization of individuals and personalising the administration of appropriate medications. Although genetic risk scores have been developed for this purpose, the use of epigenetic information in the form of DNA methylation remains relatively underexplored, despite the fact this epigenetic modification can simultaneously index both genetic and environmental risk factors. In this study, we will examine whether DNA methylation can be used to refine the classification individuals with complex disorders and better match affected individuals to personalised medications. In addition, we will also explore the relationship between epigenetic risk for complex disorders and measures of biochemical and metabolic traits to determine whether the epigenetic component of complex disorders is associated with changes in druggable, blood-based biomarkers.

One quarter of the world’s population is affected by a mental or neurological disorder at some point in their life (WHO, 2001), and depression alone is predicted to be the leading burden of disease globally by 2030 (Malhi & Mann, 2018). These disorders typically manifest early in life, with 74% of diagnoses first occurring under the age of 18 years, and 50% before 15 years (Kim-Cohen et al., 2003). Understanding risk and protective factors underlying mental ill-health, and how these might develop over time, is crucial for the creation of effective prevention and intervention.

As children mature into adolescents, they increasingly interact with, and become more sensitive to evaluation and rejection by peers. Increased sensitivity to social rejection during this period has been associated with decreased mental health (Gao et al., 2017), while the opposite has been found for increased social support (van Harmelen et al., 2017). The environment in which these interactions occur is also changing, with adolescents spending an average of 6 hours each day online, the majority of which is spent on social media sites (Anderson & Jiang, 2018). Exploring these effects cross-sectionally, we found that increased social rejection sensitivity and decreased perceived social support were associated with increased negative mood in adolescents (11-24 years; Grunewald, Deng, Wertz & Schweizer, Under review), and now seek to further investigate these effects longitudinally.

Adverse childhood experiences have been associated with unfavorable health behaviours, somatic and psychological complaints in pregnancy. Beyond pregnancy experiences, a large body of research highlights intergenerational effects of maternal history of early trauma on their offspring. Given the growing interest on early adversity consequences during the perinatal phase, we aim to examine the associations between traumatic childhood events and pregnancy health behaviour, psychological symptoms, birth outcomes, sociodemographics and breastfeeding. For this we intend to include mother-infant pairs from the Avon Longitudinal Study of Parents and Children. Adverse childhood events consist of abuse (e.g. emotional, physical and sexual), neglect, (e.g. emotional and physical) and household dysfunction (e.g. parental mental illness, divorce or incarceration). We measure pregnancy health behaviour (e.g. exercise, smoking, alcohol, BMI), psychological symptoms (e.g. anxiety and depressive symptoms), sociodemographics (e.g. education, social class) and breastfeeding (e.g.initiation and duration).

Colour blindness (CVD) is a congenital condition affecting 8% of men (0.4% of women). Depending on type and severity, affected individuals have significant difficulties discriminating a wide range of colours facing wide-ranging challenges on a day-to-day basis (e.g. interpreting colour-coded information at the workplace or recreational environments). A growing impact is expected in educational settings due to an increasing reliance on colour resources in schools. Unfortunately, a study using a birth cohort from 1958 (Cumberland et al, 2004) has reported a lack of impact of colour blindness on Maths and reading ability but fails to account for the increase in colour in classrooms in recent years. Regrettably the publication led to the cessation of CVD school screening in 2009, preventing children from accessing more appropriate resources.
In contrast, a number of authors have argued that CVD can increase difficulties experienced in a range of school subjects including Sciences, Maths, Art, PE and Geography as such subjects may use colour to explain concepts, give instructions and require it in problem solving tasks. Alongside any academic implications, CVD has been found to have an effect on social, psychological and emotional outcomes. For example CVD children may experience teasing from classmates.
We here propose to investigate the potential impacts of CVD on education and emotional outcomes in a more recent cohort.

The UK Office for National Statistics estimates that in 50 years’ time, there will be an additional 8.6 million people aged 65 years and over. Longer lifespan has clear benefits, but when it is associated with an increased proportion of the population suffering from age-related diseases, it can pose a burden to individual sufferers and to the economy.

Telomeres are ‘DNA tails’ at the end of chromosomes that shorten as we age, in accordance with the number of cell divisions. The rate at which telomeres shorten is also affected by genetic, environmental and pharmacological factors, which is important because premature telomere shortening is hypothesized to predispose to multiple age-related diseases, including coronary artery disease and rheumatoid arthritis. This is because cells with very short telomere lengths are less able to divide, leading to the accumulation of old, damaged or unhealthy cells within a tissue, and subsequently an increased risk of disease. A deeper understanding of which specific factors affect rates of telomere shortening might allow us to identify who is most at risk for premature telomere shortening and what sort of interventions may be effective at preventing age-related diseases.

This project will use the rich phenotype data within ALSPAC to define genetic, environmental and pharmacological factors associated with telomere length and its rate of attrition.

This project looks at methods used in research on human epigenetics, particularly around uses of
sociological and psychological data in devising research questions.

All paperwork stored in relevant B number folder

Depression is one of the most important risk factors for suicide. Almost 60% of people who die by suicide experienced depression at some point in their life. Yet, it remains unclear why only certain people with depression eventually become suicidal. Recent evidence suggests there are sensitive periods in development when life experiences, such as depression, can have stronger effects on mental illness. It is also well documented that suicidality results from both life experiences and genetic risk.
However, most studies of genetic risk for suicide, depression, and subsequent suicidal suicidality focus on people measured at a single timepoint. This limitation prevents us from 1) identifying people who are at the highest risk for future suicidal behaviours and 2) developing timely and effective interventions that prevent suicide in people with depression. As such, this project will use longitudinal data from two birth studies to determine when and how genetic risk and experiences of depression during childhood and adolescence influence suicide risk in early adulthood.
First, we will identify the specific ages and patterns of depression during childhood and adolescence that most predispose young adults to suicide. These results will help us build and implement interventions that are positioned at the best possible time to prevent suicide risk among youth affected by depression.
Second, we will determine whether children and adolescents with increased genetic risk for suicide or mental illness are more likely to become suicidal after experiencing depression at specific ages. These findings will improve our ability to identify youth who are at greater risk for suicide and provide insight into the genetic pathways leading to suicide.
Third, we will identify biological mechanisms that explain the link between depression and suicide. We will focus on epigenetic changes, as they are linked to human health and are thought to reflect both life experiences and genetics. Thus, they may represent a biological pathway through which suicide risk can become “molecularly programmed”. Identifying epigenetic changes that link depression to suicide risk will help guide the development of biomarkers that will allow us to identify at-risk youth quickly and effectively.
In sum, this project will highlight key periods and biological targets that can be used to predict and prevent suicidality among childhood and adolescents who experience depression. These will ultimately catalyse better interventions that prevent suicide in young adults.