Proposal summaries

These are research proposals that have been approved by the ALSPAC exec. The titles include a B number which identifies the proposal and the date on which the proposals received ALSPAC exec approval.

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B3950 - Identifying the genetic markers associated with within-individual variability in blood pressure - 21/12/2021

B number: 
B3950
Principal applicant name: 
Richard Parker | University of Bristol (UK)
Co-applicants: 
Dr April Hartley, Prof Kate Tilling, Dr Jessica Barrett, Prof George Leckie, Prof George Davey Smith, Prof Laura Howe, Dr Jon Heron, Prof Alun Hughes
Title of project: 
Identifying the genetic markers associated with within-individual variability in blood pressure
Proposal summary: 

Evidence suggests that erratic (highly-variable) blood pressure, as well as high mean average blood pressure, could be associated with cardiovascular disease (CVD). As such, a better understanding of the associations of genes with blood pressure variability could provide further insight into the development of CVD. However, whilst there has been considerable research identifying the genetic factors associated with mean average blood pressure, little is known about the associations of genetic factors with blood pressure variability. The project aims to address this by analysing data from ALSPAC to investigate associations between blood pressure variability and genes.

Impact of research: 
Identify genetic variants associated with within-individual blood pressure variability, which could provide insight into the development of cardiovascular disease.
Date proposal received: 
Friday, 10 December, 2021
Date proposal approved: 
Monday, 20 December, 2021
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), Hypertension, GWAS, Statistical methods, Blood pressure, Cardiovascular, Genetic epidemiology, Genome wide association study, Statistical methods

B3960 - Replication of trans-ancestry adiposity genetic scores - 20/12/2021

B number: 
B3960
Principal applicant name: 
Robin Walters | University of Oxford (UK)
Co-applicants: 
Gibran Hemani
Title of project: 
Replication of trans-ancestry adiposity genetic scores
Proposal summary: 

There is a growing interest in the use of "genetic scores" to investigate the contribution of traits such as obesity and blood pressure to disease and disease risk. However, scores developed using individuals of one ancestry (e.g. Europeans) typically are less useful when applied to populations from another (e.g. East Asians). We are investigating the performance of scores generated using data from multiple ancestries, compared with those from a single ancestry, and have found that there can be substantial improvements. As part of this, to make sure that our results are reproducible, we need to do analyses in sets of individuals who were not used in generating the scores. This project tests how our "improved" scores perform in ALSPAC mothers and fathers.

Impact of research: 
Improved understanding of the limitations of using genetic scores across ancestries, and of the improvements that can be gained from trans-ancestry meta-analyses.
Date proposal received: 
Thursday, 16 December, 2021
Date proposal approved: 
Monday, 20 December, 2021
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), Obesity, Statistical methods, BMI, Genetic epidemiology, Genetics

B3952 - Orienting causal relationships between sleep and adiposity traits using genetic risk scores and mendelian randomisation - 20/12/2021

B number: 
B3952
Principal applicant name: 
Rebecca Richmond | University of Bristol (United Kingdom)
Co-applicants: 
Miss Bryony Hayes
Title of project: 
Orienting causal relationships between sleep and adiposity traits using genetic risk scores and mendelian randomisation
Proposal summary: 

Poor sleep and obesity are problem that permeates though much of the UK population. Up to 67% of UK adults report disturbed sleep, 26 – 36% experience insomnia and 23% sleep for < 5 hrs per night1. Furthermore, a 2019 health survey for England found that 28.0% of adults in England are obese and a further 36.2% are overweight2. Similarly, obesity is a growing problem in the UK, amongst both children and young people. In 2019, a study by the National Child Measurement Programme (NCMP) found that by the age of five, 13.1% of children were overweight and 9.9% were obese. Between 2007 and 2019, the same study found that prevalence of obesity in year six children had increased from 17.5% to 21.0% 2.
Sleep traits such as chronotype (morning- or evening-preference), insomnia (difficulty initiating or maintaining sleep) and sleep duration (length of time spent sleeping) have previously been studied in relation to adiposity. In previous studies, increased odds of obesity has been associated with evening-preference chronotype4, occurrence of insomnia symptoms 5, and both short (<6h) and long (>9h) sleep duration5. Many studies have also found that individuals involved in night shift work are more likely to become overweight or obese6,7. In addition, associations have been found between increased obesity and both sleep apnoea8 and restless leg syndrome9, both of which may result in poor quality sleep10,11. However, it is often difficult to determine causal relationships and direction of effects in many of these studies, given the observational and often cross-sectional nature of the data.
We have recently performed preliminary Mendelian randomization to establish direction of effects between adiposity- and sleep-traits using summary data from genome-wide associations studies. We wish to follow up these findings using data from the Avon Longitudinal Study of Parents and Children (ALSPAC).
References:
1. Aviva. Aviva health check UK report. (2016).
2. Baker, C. Inside: 1. Obesity in adults, England 2. Obesity in children. 3336, (2021).
3. Cole, T. J., Freeman, J. V. & Preece, M. A. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Stat. Med. 17, 407–429 (1998).
4. Sun, X., Gustat, J., Bertisch, S. M., Redline, S. & Bazzano, L. The association between sleep chronotype and obesity among black and white participants of the Bogalusa Heart Study. Chronobiol. Int. 37, 123–134 (2020).
5. Cai, G.-H. et al. Insomnia symptoms and sleep duration and their combined effects in relation to associations with obesity and central obesity. Sleep Med. 46, 81–87 (2018).
6. Liu, Q. et al. Is shift work associated with a higher risk of overweight or obesity? A systematic review of observational studies with meta-analysis. Int. J. Epidemiol. 47, 1956–1971 (2018).
7. Brum, M. C. B. et al. Night shift work, short sleep and obesity. Diabetol. Metab. Syndr. 12, 13 (2020).
8. Romero-Corral, A., Caples, S. M., Lopez-Jimenez, F. & Somers, V. K. Interactions between obesity and obstructive sleep apnea: implications for treatment. Chest 137, 711–719 (2010).
9. Gao, X., Schwarzschild, M. A., Wang, H. & Ascherio, A. Obesity and restless legs syndrome in men and women. Neurology 72, 1255–1261 (2009).
10. Bogan, R. K. Effects of restless legs syndrome (RLS) on sleep. Neuropsychiatr. Dis. Treat. 2, 513–519 (2006).
11. Miyahara, L. K. et al. Evaluation of sleep quality and risk of obstructive sleep apnea in patients referred for aesthetic rhinoplasty. Sleep Sci. (Sao Paulo, Brazil) 12, 126–131 (2019).

Impact of research: 
A better understanding of the causal direction between sleep traits and adiposity may be used to inform futures studies that explore the causal pathways between adiposity, sleep and health outcomes such as breast cancer, and may also be used to inform patient-based intervention studies.
Date proposal received: 
Wednesday, 15 December, 2021
Date proposal approved: 
Monday, 20 December, 2021
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), Obesity, Sleep traits such as chronotype, insomnia, sleep duration, napping during the day, daytime dozing, ease of getting up in the morning, GWAS, Statistical methods, Genetic risk scores, observational analyses, longitudinal analyses, BMI, Genetic epidemiology, Genetics, Genome wide association study, Mendelian randomisation, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Statistical methods

B3959 - Rethinking mental health difficulties - 20/12/2021

B number: 
B3959
Principal applicant name: 
Jenny Retzler | University of Huddersfield
Co-applicants: 
Dr Chris Retzler
Title of project: 
Rethinking mental health difficulties
Proposal summary: 

The symptoms experienced by young people with mental health difficulties rarely fit neatly into one diagnosis. For more than half of young people with difficulties, the symptoms experienced can be divided into two, or even more, diagnoses, while for others, there is no diagnostic category into which they fit. These problems with our diagnostic categories make it difficult for researchers and doctors who want to know how and why, some people develop mental health difficulties, and how best to support them.

To solve these problems, we need to look at mental health difficulties in a different way. In the last five years, researchers have started using ‘person-centred’ statistical techniques, which produce an alternative to the diagnostic categories we use at the moment, to look at mental health difficulties in teenage groups. Person-centred techniques look for patterns in data that show how symptoms might group in certain ways for some individuals, and in different ways for others. For example, having poor concentration might be grouped together with feeling anxious and being withdrawn in some young people. In others, poor concentration might, instead, be grouped together with feeling restless and breaking rules. With traditional diagnoses, both sets of young people might be diagnosed with ADHD, but using a person-centred perspective we can find these different groupings that reflect the variety of difficulties being experienced. This should give researchers a better chance of understanding what might make it more (or less) likely that somebody has the problems they do, and what type of support might help them most.

The challenge we face is that person-centred techniques are still quite new and we don’t yet know whether the new groupings they produce are consistent, or any more representative or useful than the current ways we diagnose. This is what this project aims to assess. At the same time, we want to get input from young people with experience of mental health difficulties as we do this. Phase 1 will start by understanding more from young people about their experiences of mental health difficulties and the diagnostic journey. We want to know what has been important to them, what they think might have influenced the symptoms they live with, and what sorts of things help make life easier. Researchers will use the understanding we gain from these sessions to plan how they will do the statistical analysis in phase two to make sure that it captures what is important to young people. Phase 2 will be the statistical analysis, shaped by Phase 1. We will use ALSPAC data, which has followed up thousands of people from childhood and through the teenage years, and use person-centred techniques to find new groupings with shared patterns of symptoms. We will then test the statistical strength and consistency of the new groupings, and use understanding gained from Phase 1 to see whether the new groupings can help us to learn more about the factors that impact mental health. In Phase 3, we want to come back to young people to see how far they feel the new perspectives on mental health difficulties that were generated in Phase 2 fit with their experiences. They can help us to see what will and won’t be an improvement over existing diagnoses, and can consider with us how the findings can be used to improve the diagnostic journey. During this phase, we also want to discuss the findings with groups who make decisions about how CAMHS runs, to identify positive ways to use the knowledge that has been generated.

Impact of research: 
This project will benefit young people living with mental health conditions in a number of ways. In the short-term it would give those in charge of mental health services some ideas about what is important to consider during diagnosis and management, and a new way to look at mental health difficulties. Longer term, this can be used to inform a diagnostic process that truly reflects the pattern of difficulties individuals have. From a research perspective, we hope that in the short-term, our project will make any benefits of using person-centred techniques to define mental health difficulties clearer to researchers, so that they can use them effectively. With this understanding, knowledge of new ways to prevent and support these difficulties will be possible long-term. Adolescent mental health research will also benefit from the way this project combines the experiences of young people with complicated statistical analysis. Usually, these two parts of research are kept separate, but we want to show how much more we can understand if we bring the two together, and give other researchers an example that they can follow of how to do this effectively.
Date proposal received: 
Thursday, 16 December, 2021
Date proposal approved: 
Monday, 20 December, 2021
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Developmental disorders - autism, Cognitive impairment, Eating disorders - anorexia, bulimia, Mental health, Computer simulations/modelling/algorithms, Statistical methods, Childhood - childcare, childhood adversity, Cognition - cognitive function, Development, Statistical methods

B3951 - Recognising ADHD in ID - 20/12/2021

B number: 
B3951
Principal applicant name: 
Melanie Palmer | Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London
Co-applicants: 
Professor Emily Simonoff
Title of project: 
Recognising ADHD in ID
Proposal summary: 

Individuals with Intellectual Disability (ID) often have other neurodevelopmental conditions, such as Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD), that lead to further impairments and reduced quality of life. This triad of conditions contributes to difficulties in teasing apart symptoms, adding diagnostic complexity. No ADHD screening tools have been developed specifically for ID populations and they do not take ASD into account. This project will use ALSPAC data to explore the manifestations of ADHD in children and young people with and without ID. The ultimate aim is to enhancing methods for detection of co-occurring ADHD in ID.

Impact of research: 
The ultimate outcome is to improve methods for ADHD recognition in CYP with ID, helping clinicians to arrive at a diagnostic decision about whether co-occurring ADHD is present or not with greater confidence. As ADHD is currently under-recognised in ID, it is likely that improving recognition will increase caseness. Better recognition and more accurate diagnosis of ADHD will be of significant clinical value as it will lead to more appropriate and tailored interventions, improving treatment choice, functional outcomes, and quality of life. The key outcome is to identify the accuracy of ADHD screeners for use with ID, which items are most discriminating, and whether a new measure, or further validation of an existing measure, is needed. Recommendations about recognising ADHD in ID and measurement of ADHD symptomology will be made for parents and clinicians.
Date proposal received: 
Monday, 13 December, 2021
Date proposal approved: 
Monday, 20 December, 2021
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Cognitive impairment, Learning difficulty, Mental health, Statistical methods, Childhood - childcare, childhood adversity, Cognition - cognitive function, Communication (including non-verbal), Psychology - personality, Statistical methods

B3933 - Understanding Genetic Risk for Externalizing across Development and in Conjunction with the Environment - 17/12/2021

B number: 
B3933
Principal applicant name: 
Danielle Dick | Virginia Commonwealth University (United States)
Co-applicants: 
Dr. Holly Poore, Maia Choi, Erin Gallert, Dr. Fazil Aliev, Dr. Sarah Brislin, Morgan Driver, Rebecca Smith, Nate Thomas, Dr. Amy Adkins, Emily Balcke
Title of project: 
Understanding Genetic Risk for Externalizing across Development and in Conjunction with the Environment
Proposal summary: 

Externalizing refers to a constellation of behaviors characterized by under-controlled or impulsive action and antagonism and which manifests in multiple psychiatric disorders (e.g., ADHD, substance use disorders) as well as personality, temperament, and behavioral traits. Twin and molecular genetic studies indicate that externalizing phenotypes are highly heritable and that multiple externalizing phenotypes are influenced by the same genetic factors. This project aims to characterize genetic risk for externalizing in longitudinal samples to better understand the spectrum of phenotypes associated with identified genetic variants, across development, across sex, and in conjunction with the environment.

Impact of research: 
Results from this project will further the goal of genomics research to enhance risk prediction of phenotypes associated with high disease burden and suffering. By taking genetic findings from GWAS into longitudinal, developmental studies like ALSPAC, we will be able to map the pathways by which genetic risk manifests across development, highlighting the early behavioral manifestations of risk, and studying how various individual characteristics and environments moderate the risk across developmental periods. The original externalizing GWAS, from which our polygenic scores were derived, was published in Nature Neuroscience (full citation below) and we anticipate that our follow-up analyses further characterizing risk will also be of high impact. Karlsson Linnér, R., Mallard, T.T., Barr, P.B. et al. Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nat Neurosci 24, 1367–1376 (2021). https://doi.org/10.1038/s41593-021-00908-3
Date proposal received: 
Thursday, 9 December, 2021
Date proposal approved: 
Friday, 17 December, 2021
Keywords: 
Social Science, Addiction - e.g. alcohol, illicit drugs, smoking, gambling, etc., Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Mental health, GWAS, Statistical methods, Genetic epidemiology, Genetics, Genomics, Psychology - personality, Social science, Statistical methods

B3945 - Coming of Age in a Pandemic Transitions to Adulthood and Long-Term Mental Health - 17/12/2021

B number: 
B3945
Principal applicant name: 
Annie Herbert | Population Health Sciences, University of Bristol
Co-applicants: 
Dr Michael Green
Title of project: 
Coming of Age in a Pandemic: Transitions to Adulthood, and Long-Term Mental Health
Proposal summary: 

The COVID-19 pandemic has disrupted the lives of many people in many ways. For young people who were becoming adults, it may have disrupted or delayed moves out of education and into employment, or from living with parents to forming families. This may have long-term implications for their lives and mental health. We will combine information from three surveys that followed people from their youth into adulthood before the pandemic, with information from a survey of young people who were just becoming adults as the COVID-19 pandemic happened. In doing so, we aim to find out what impact the COVID-19 pandemic has had on the economic and family situations of this generation of young adults, and what the longer- term impacts of this on their mental health could be.

Impact of research: 
The findings will provide a better understanding of how the pandemic has affected young people's working and living patterns in a critical period of their life for transitioning to adult roles, and the potential knock-on effects on mental health. Findings can be inform as to mental health needs among this unique group of young people.
Date proposal received: 
Monday, 6 December, 2021
Date proposal approved: 
Friday, 10 December, 2021
Keywords: 
Epidemiology, Mental health, Social science

B3940 - The DASH-style dietary pattern in childhood in relation to Cardiometabolic Risk in early adulthood in the ALSPAC cohort - 10/12/2021

B number: 
B3940
Principal applicant name: 
Genevieve Buckland | Bristol Medical, Centre for Academic Child Health (United Kingdom)
Co-applicants: 
Dr. Caroline Taylor, Dr. Pauline Emmett
Title of project: 
The DASH-style dietary pattern in childhood in relation to Cardiometabolic Risk in early adulthood in the ALSPAC cohort.
Proposal summary: 

The Dietary Approaches to Stop Hypertension (DASH) diet is considered a healthy dietary pattern that is associated with lower blood pressure, reduced risk of cardiovascular diseases, type 2 diabetes and related cardiometabolic risk factors in adults. However, research into the cardiometabolic benefits of this dietary pattern during childhood and adolescence is scarce, especially from large studies following-up children into adulthood.
We plan to use dietary data collected in ALSPAC when the children were 7 years, 10 years and 13 years old to assess how closely their diets aligned to a DASH-style dietary pattern. Apart from being low in salt, this dietary patter is high in fruits and vegetables, nuts and pulses, wholegrains, and low-fat dairy products and low in red and processed meat, sweetened drinks and saturated fat. We will explore whether the children with more DASH-style dietary patterns during childhood have better overall cardiometabolic health when they are 17 years and 24 years old, and if so which aspects of cardiometabolic health are benefited most. Overall cardiometabolic health will be measured using a Cardiometabolic Risk (CMR) score that takes into account each participants’ glucose, insulin, triglyceride and cholesterol levels, blood pressure and body composition.

Impact of research: 
This study will advance our understanding of the dietary determinants during childhood for the development of cardiometabolic risk factors in early adulthood. Research in this area from large prospective studies with long follow-up times are limited. Dietary habits are still evolving during childhood and adolescence and by studying dietary patterns at three time points we will also be able to assess if there are critical time point(s) when these dietary habits are more important for future cardiometabolic health. We expect our findings to contribute to the scientific evidence needed to develop effective preventative strategies and identify and manage at risk groups, where there is a particular shortfall in clinical and public health practice. For instance, the results could help when designing specific dietary interventions targeted at high-risk children and adolescents to reduce their risk of developing cardiometabolic diseases later in adulthood.
Date proposal received: 
Monday, 29 November, 2021
Date proposal approved: 
Friday, 10 December, 2021
Keywords: 
Epidemiology, Hypertension, Association analysis (using regression models) of dietary and cardiometabolic data. , Nutrition - breast feeding, diet

B3905 - Developmental origins of thyroid function regulation in the Avon Longitudinal Study of Parents and Children ALSPAC birth cohor - 10/12/2021

B number: 
B3905
Principal applicant name: 
Alexandra Alvergne | CNRS (French National Centre for Research) (France)
Co-applicants: 
Ms. Sarai Keestra, Mr. Austin Argentieri , Prof. T. J. Roseboom, Dr Martijn Finken, Dr Vedrana Högqvist Tabor
Title of project: 
Developmental origins of thyroid function regulation in the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohor
Proposal summary: 

Thyroid dysfunction due to hypo- or hyperthyroidism affects 200 million people worldwide and is a major health burden. Thyroid hormones are vital for healthy metabolism, tissue differentiation, neurodevelopment, growth, immune function, reproduction, and ageing, yet the relative contribution of environmental exposures (e.g. nutrition, psycho-socio-economic adversity, etc.) in shaping thyroid function regulation remains unknown. The thyroid axis is especially important for the health of (pregnant) women and their children , but currently there is a lack of intergenerational data that can help understand the complex interplay between environment and genetics in thyroid function regulation. We aim to fill that gap by analysing thyroid function related variables in the ALSPAC data. Specifically, we will (1) investigate critical periods in which environmental and life-history influence thyroid function regulation, (2) analyse the impact of thyroid function on reproductive health outcomes, and (3) explore the epigenetic pathways by which thyroid function affects health outcomes in mothers and children. Within these analyses we will look at both natural variation in thyroid function parameters as well as pathological variation due to thyroid dysfunction. Identifying critical periods of thyroid function plasticity may have significant implications for the optimal timing of comprehensive public health interventions that can decrease the burden of thyroid dysfunction and its health consequences over the life course.

Impact of research: 
Thyroid dysfunction affects 200 million people worldwide and is major health burden (Kuyl, 2015). Few studies have considered the comprehensive impact of environmental exposures on the thyroid function and reproductive health outcomes of mothers and their offspring, and none take a longitudinal life course approach. Identifying environmental risk factors for developing thyroid dysfunction can inform efforts at prevention and early identification of thyroid disease. Since thyroid hormones can play fundamental roles in the hypothalamic-pituitary-adrenal (HPA) and hypothalamic-pituitary-gonadal (HPG) axes, understanding plasticity in healthy thyroid function also has the potential to help better understand natural variation in these neuroendocrine axes in face of adversity and its effects on reproductive health outcomes. Ultimately, we seek to determine the critical periods throughout the life course in which thyroid function is most flexible and plastic, which will help inform optimal timing for comprehensive public health interventions that address thyroid dysfunction and its health consequences. Using an evolutionary ecology framework we suggest that by understanding the role of thyroid function in regulating the energetic trade-offs between the functions of reproduction, growth, and somatic maintenance, an evolutionary medicine approach can contribute to clinical medicine by reinterpreting natural variation in thyroid function within an ecological context (Keestra et al., 2020). By investigating the effect of normal thyroid function variation during the life span on timing of maturation, we can enhance our understanding regarding the role of thyroid function in translating early life environmental exposures into differential developmental tempos. In this context, we also consider how variation in thyroid hormone levels in pregnant women affect incidence of pregnancy disorders and influence obstetric and neonatal health outcomes. Finally, we aim to develop a novel approach to understanding healthy thyroid function in later life by characterising the interactions between women’s reproductive history, thyroid function, and epigenetic markers of cellular ageing. By taking an experimental approach as outlined in this proposal, we seek to stimulate a new research programme that reconsiders thyroid function as an important pathway by which energy investments over the life course are regulated, utilising thyroid evolutionary ecology as a new predictive framework. Thyroid dysfunction has significant ramifications for the regulation of body temperature, metabolism, fertility, foetal neurological development, intellectual performance of school-aged children, adult mental health, and overall quality of life (Keestra et al., 2020). Even at subclinical levels, thyroid hormone imbalances are associated with psychiatric disorders, stroke risk, and altered cardiac function, and are thereby a significant source of ill health worldwide. Identifying environmental risk factors and biomarkers that associate with development of thyroid dysfunction can inform prevention efforts and enable early identification of thyroid disease. To reduce the disease burden of thyroid dysfunction and its associated comorbidities, chronic disease prevention must start at the earliest beginning (Klimek et al., 2014). Appreciating the way genetics, environment, and early life experiences give shape to organisms throughout their life span opens up new avenues towards personalised medicine in the prevention, diagnosis, and treatment of disease (Wells et al., 2017). By utilising the birth cohort’s longitudinal and diverse datasets, it is possible to study human beings in all their bio-psycho-social complexity, whilst bridging the gap between epidemiological studies and animal model research to elucidate the epigenetic mechanisms underlying environmental exposures and chronic disease risk (Thalabard et al., 1996). It is at these interfaces that interdisciplinary teams such as ours, consisting of medical anthropologists, evolutionary biologists, epigeneticists, and clinicians, can make the greatest contribution towards science and our understanding variation in health and disease across different contexts.
Date proposal received: 
Friday, 10 December, 2021
Date proposal approved: 
Friday, 10 December, 2021
Keywords: 
Endocrinology, Thyroid disease, Statistical methods, Hormones - cortisol, IGF, thyroid

B3948 - Investigating DNA methylation changes during pregnancy as a mechanism for altering disease risk in women replication study - 17/02/2022

B number: 
B3948
Principal applicant name: 
Su Chen | University of Nebraska Medical Center
Co-applicants: 
Dr. Susan Ewart
Title of project: 
Investigating DNA methylation changes during pregnancy as a mechanism for altering disease risk in women: replication study
Proposal summary: 

Abstract of the R21 titled “Investigating DNA methylation changes during pregnancy as a mechanism for altering disease risk in women”

Pregnancy is an important transition period that parous women (those who have given birth) undergo and it is linked to changes in risk of various diseases as compared to nulliparous women (those who have never given birth). The number of completed pregnancies changes the risk of autoimmune disease, Alzheimer’s disease, cancers of the ovary, breast and liver, as well as asthma death later in life. However, it is unknown how these disease risks are altered by the child-bearing experience. DNA methylation (DNA-m) - the addition of a methyl group to cytosine in cytosine-phosphate-guanine (CpG) dinucleotides sequences in DNA - has been shown to be associated with multiple health outcomes later in life, such as atopy, eczema, hypertension, diabetes mellitus, and cancer. Our preliminary studies have shown that more CpGs (5.6% vs 0.7%) change levels of methylation during pregnancy (measured between age 18 years and again during pregnancy in women not yet pregnant at age 18) compared to pre-pregnancy (between ages 10 and 18 years), which may represent a plausible mechanism for altering post-pregnancy disease risks in parous women if these changes remain after pregnancy. To better understand the links between methylation changes during pregnancy and parous-related diseases later in life, we propose to identify pregnancy-related CpGs with significant pre- and post-pregnancy methylation changes through an epigenome-wide study. In Specific Aim 1, we will identify CpGs with significant methylation changes in parous women between ages 18 and 26-27 years compared to nulliparous women over the same time period. Then in Specific Aim 2, we will focus on the CpGs identified in Specific Aim 1 and test what proportion of them change from age 18 years to pregnancy and remain stable after parturition up to age 26-27 years. This proposed research has the potential to significantly contribute to 1) the discovery of biomarkers affected by a healthy pregnancy, 2) a better assessment of the long-term effects of parity on women in later life, and 3) the future development of epigenetic tools to detect these modified disease risks. Our collaborative research team is well-positioned to do this work with complementary expertise in genetics and epigenetics, reproductive epidemiology and (bio)statistics, and clinical medicine. We have a long track record of successful collaboration investigating DNA methylation changes during critical transition periods,
such as puberty and pregnancy.

Impact of research: 
The replication would be very important to the quality of our findings.
Date proposal received: 
Wednesday, 8 December, 2021
Date proposal approved: 
Thursday, 9 December, 2021
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), GWAS, Statistical methods, Epigenetics, Mothers - maternal age, menopause, obstetrics, Statistical methods

B3947 - A deep clinical phenotyping study of a group of participants on a low lung function trajectory - 16/12/2021

B number: 
B3947
Principal applicant name: 
George Nava | University of Bristol; Academic Respiratory Unit, Southmead Hospital; NIHR-funded position (UK)
Co-applicants: 
Dr James Dodd, Dr Raquel Granell, Professor Nicholas Timpson
Title of project: 
A deep clinical phenotyping study of a group of participants on a low lung function trajectory.
Proposal summary: 

Chronic lung diseases such as Chronic Obstructive Pulmonary Disease (COPD) are incurable but potentially preventable. Studies in cohorts such as ALSPAC have identified that everyone’s lung capacity increases in childhood, peaks in their early 20s and declines from the age of 30. Some groups never reach a normal peak, and some decline more quickly than others. Those on low lung function trajectories are at higher risk of developing lung diseases, diseases of other organs and dying younger. The reasons that these different trajectories exist are not fully understood. Without addressing this question, we cannot improve outcomes for patients with poor lung health and reduce the burden of chronic lung disease. This project aims to improve this understanding and identify potential targets for future interventions.

We will undertake a series of detailed assessments on a small group of ALSPAC Generation 1 participants to look for evidence of early lung disease. We will compare those on a low lung function trajectory with those on a normal one. The assessment will include an interview with a respiratory doctor, breathing tests and a state-of-the-art scan of the lungs at the University of Sheffield, which is a safe new technique of looking in detail at the structure and function of the lungs. This will complement the lung function tests that are aiming to collect data for >4000 participants in the Clinic at 30.

This study will have a range of applications and create future research opportunities to improve our understanding of normal and abnormal lung function development and finding ways of improving everyone’s lung health.

Impact of research: 
There are a range of potential impacts of this research. Firstly, this research aims to address the issue the need to prevent the development of significant respiratory disease. Trends in across all of healthcare are moving towards early recognition and prevention of medical conditions. Millions of people suffer and die from respiratory diseases each year. Many chronic diseases remain subclinical for years, however once the symptoms emerge, the pathology is irreversible and advanced. This research will contribute to our understanding of the pathogenesis of lung disease and contribute to the search for biomarkers of early disease that could form the focus of interventions to prevent or limit disease progression. This could have significant impacts to populations across the world. For the ALSPAC G1 participants specifically, it is possible that we will identify undiagnosed respiratory disease, such as uncontrolled asthma, that we will be able to recommend management in line with current NHS treatment pathways. Furthermore, if aligned research is able to identify new interventions or treatments, then these participants would represent an ideal group to offer these to. For our research team and Bristol University as a whole, it will provide a deeper understanding of the subjects of current and future lung function trajectory studies. This could both enhance the ability to interpret gained from these studies, but it will also provide a wealth of legacy data from which future studies can be design. It will also act as pilot data from which a larger study could be expanded. In addition, we are currently in discussions with the POLARIS (Pulmonary, Lung and Respiratory Imaging Sheffield) research team at the University of Sheffield about developing the capabilities to perform hyperpolarised xenon-129 imaging in Bristol. This will be the first time that a study from Bristol has employed this exciting technology and this experience will strengthen future applications to bring this technique to our university. For other researchers in the field, it will be the first time that a birth cohort has had deep clinical phenotyping or cross-sectional imaging of the lungs at the critical timepoint in lung development. It will contribute to international collaborations such as CADSET and may help to mould research across other cohorts.
Date proposal received: 
Tuesday, 7 December, 2021
Date proposal approved: 
Wednesday, 8 December, 2021
Keywords: 
Epidemiology, Respiratory - asthma, Medical imaging, Clinical endotyping and phenotyping, Ageing, Equipment - MRI, Environment - enviromental exposure, pollution, Lung function

B3941 - The temporal dynamics of prosocial behaviour-executive functions relations during child development - 17/12/2021

B number: 
B3941
Principal applicant name: 
Christian K. Tamnes | University of Oslo
Co-applicants: 
Alexandra Havdahl, Dr., Lia Ferschmann, Dr., Ingrid Overweg
Title of project: 
The temporal dynamics of prosocial behaviour-executive functions relations during child development
Proposal summary: 

The current project is a student project linked to the already approved project: B3840 Developmental pathways to mental health
problems.

Prosocial behaviour and inhibitory control are essential components of social competence and self-regulation, respectively, and both are considered important in child development, and in preventing behavioural problems in children and adolescence. Current knowledge about the developmental relationships between prosocial behaviour and inhibitory control is however limited. In light of the existing literature, a deeper understanding of the developmental relations between prosocial behaviour and inhibitory control may have implications for interventions aimed at preventing problem behaviour in children.

Impact of research: 
Date proposal received: 
Monday, 29 November, 2021
Date proposal approved: 
Wednesday, 1 December, 2021
Keywords: 
Developmental psychology, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Statistical methods, Cognition - cognitive function, Development

B3938 - Windows of vulnerability Sensitive periods for social adversity in adolescence - 02/12/2021

B number: 
B3938
Principal applicant name: 
Delia Fuhrmann | King's College London, UK
Co-applicants: 
Dr Kathryn Bates, Ms Amber Inman, Prof Rogier Kievit, Dr Amy Orben, Ms Ayla Pollman
Title of project: 
Windows of vulnerability: Sensitive periods for social adversity in adolescence
Proposal summary: 

A large body of research has shown adverse childhood experiences (such as parental neglect, mental and physical abuse) can impact children’s developmental trajectories and have lasting effects on their cognitive function and mental health. In comparison, there is little consensus as to what types of adversity affect adolescents and the timing at which young people are most vulnerable to different types of adversity. This impedes the development of effective policies for prevention and intervention. Initial evidence suggests that for adolescents, other types of adversity, such as social exclusion by peers, may be particularly detrimental. With respect to timing of adversity, protracted sensitive periods of brain development in areas underlying complex skills, e.g., flexible thinking and building relationships, could present a window of vulnerability where young people are particularly sensitive to adversity exposure. The aims of this research project are twofold. First, to investigate what types of adversity impact cognitive and mental health outcomes in adolescents, and secondly, to determine when different adversities have the greatest impact. This will provide an opportunity for informing policies on how we can prevent and alleviate adversity in youth.

Impact of research: 
This project will firstly advance current theories of adversity in developmental psychology by establishing the types and timing of adversity in a longitudinal design. Many studies to date focus on early childhood adversities and examine how this predicts later outcomes. Employing the rich ALSPAC dataset and advanced statistical methods outlined above will allow us to extend current knowledge to understand how adversity impacts cognition and mental health throughout each stage of development. This has important implications for policy and practice. Establishing when young people are most vulnerable to which types of adversity can be used to direct interventions to prevent adversity exposure in young people.
Date proposal received: 
Friday, 26 November, 2021
Date proposal approved: 
Wednesday, 1 December, 2021
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Mental health, Statistical methods, Cognition - cognitive function, Development, Environment - enviromental exposure, pollution, Statistical methods

B3942 - Chronic adolescent loneliness Methods to capture and understand its developmentmanifestation and experience among young people - 10/12/2021

B number: 
B3942
Principal applicant name: 
Efstathios Papachristou | UCL Institute of Education (United Kingdom)
Co-applicants: 
Dr Becky Taylor, Dr Eleanore Hargreaves, Prof Pamela Qualter, Prof Phil Jones, Prof Vivian Hill, Dr Caroline Bond, Dr Michelle Cannon, Dr Katya Saville
Title of project: 
Chronic adolescent loneliness: Methods to capture and understand its development,manifestation and experience among young people
Proposal summary: 

Loneliness is a deeply troubling experience of feeling unwanted by, excluded from and/or unworthy of the social companionship a person desires. Our concern relating to loneliness is part of a global concern for the strong mental health of adolescents which addresses to how young people experience life as they shift from childhood to adulthood, a turbulent time in their development. Our proposed research aims to use an innovative interdisciplinary mixed-methods approach to help grow the evidence base on how loneliness drives poor mental health in order to design new solutions that most effectively nurture the relationships that sustain people.

Impact of research: 
The main academic beneficiaries of this research will be: developmental and educational psychologists; child development and education researchers; teachers and educators; and policy makers interested in promoting child well-being. Moreover, the findings of this work will inform the qualitative data collection part of the project which is part of the same proposed grant, by identifying the most robust predictors of trajectories of loneliness.
Date proposal received: 
Wednesday, 1 December, 2021
Date proposal approved: 
Wednesday, 1 December, 2021
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., loneliness, Statistical methods, Development, Social science

B3934 - InterPLAY Building a data-informed framework to understand how play influences childrens psycho-social and mental health outco - 30/11/2021

B number: 
B3934
Principal applicant name: 
Reinie Cordier | Northumbria University (United Kingdom)
Co-applicants: 
Dr Eduwin Pakpahan, Dr Jenny Gibson, Dr Lauren Parsons, Dr Sarah Wilkes-Gillan, Dr Natalie Munro, Dr Ryan Chen
Title of project: 
InterPLAY: Building a data-informed framework to understand how play influences children's psycho-social and mental health outco
Proposal summary: 

This project is designed to determine the associations between play, and social emotional and mental health outcomes in children to inform future empirical work around how play can be used to support children’s psycho-social development. The project will use four international cohort data sets to investigate how play is best theorised and measured in longitudinal cohort studies, develop data-driven models of the associations between play and social emotional and mental health outcomes in children, and evaluate whether those models require adapting for children with a mental health diagnosis.

Impact of research: 
The development of a data-driven framework is significant in three ways. First, it will inform play theory development and replace theories that are out of date. Second, it will develop our understanding of the relationship between children’s play experiences and later social, emotional and mental health outcomes. Third, the framework will inform targeted supports and interventions that prevent or minimise adverse psycho-social or mental health outcomes and improve quality of life for children and young people including those that are developmentally vulnerable.
Date proposal received: 
Monday, 29 November, 2021
Date proposal approved: 
Tuesday, 30 November, 2021
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Developmental disorders - autism, Mental health, Speech/language problem, Childhood - childcare, childhood adversity, Development, psycho-social, play

B3930 - Green space and child cardiometabolic health A structured life course approach - 29/11/2021

B number: 
B3930
Principal applicant name: 
Daniel Smith | Population Health Sciences, University of Bristol
Co-applicants: 
Prof Deborah Lawlor, Prof Kate Tilling, Dr Andrew Smith
Title of project: 
Green space and child cardiometabolic health: A structured life course approach
Proposal summary: 

This project aims to understand how access to green space in pregnancy, infancy and early childhood impacts subsequent child cardiometabolic health (BMI/obesity and blood pressure). Although research is mixed, there is some evidence that access to green space may be associated with lower childhood BMI/obesity and blood pressure (Luo et al., 2020; Markevych et al., 2014). As childhood BMI and blood pressure predict these traits in adulthood, and that these are key risk factors for cardiovascular disease, child cardiometabolic health is a serious public health concern; if access to green space can lower BMI and blood pressure, this may constitute a potentially modifiable public health intervention.

We will use a structured life course approach to answer this question, which is able to distinguish between different life course trajectories, such as critical periods, sensitive periods, accumulation of risk, and others (Smith et al., 2016; Ben-Shlomo & Kuh, 2002). We will use repeated data on access to green space to explore if and how this is related to child cardiometabolic health in ALSPAC children. In addition, this project will explore whether there is an interaction between socioeconomic position and access to green space in shaping these outcomes. These analyses will also be replicated in an independent UK cohort (Born in Bradford; BiB)

References:
Ben-Shlomo, Y. & Kuh, D. (2002). What is a Life Course Approach to Chronic Disease Epidemiology? Conceptual Models in Life Course Epidemiology. Int. J. Epidemiol., 31, 285–293.
Luo, Y.N., Huang, W.Z., Liu, X.X., Markevych, I., Bloom, M.S., Zhao, T., et al. (2020). Greenspace with overweight and obesity: A systematic review and meta-analysis of epidemiological studies up to 2020. Obes. Rev., 21, 1–28.
Markevych, I., Thiering, E., Fuertes, E., Sugiri, D., Berdel, D., Koletzko, S., et al. (2014). A cross-sectional analysis of the effects of residential greenness on blood pressure in 10-year old children: Results from the GINIplus and LISAplus studies. BMC Public Health, 14, 1–11.
Smith, A.D.A.C., Hardy, R., Heron, J., Joinson, C.J., Lawlor, D.A., Macdonald-Wallis, C., et al. (2016). A structured approach to hypotheses involving continuous exposures over the life course. Int. J. Epidemiol., 45, 1271–1279.

Impact of research: 
To understand if and how access to green space in pregnancy, infancy and early childhood impacts later childhood cardiometabolic health, and the shape of this trajectory. May help inform future interventions regarding access to green space (and at what age may be the most effective) to promote child cardiometabolic health.
Date proposal received: 
Tuesday, 16 November, 2021
Date proposal approved: 
Monday, 29 November, 2021
Keywords: 
Epidemiology, Hypertension, Obesity, Statistical methods, Blood pressure, BMI, Cardiovascular, Development

B3931 - Causal inference in the study of adverse childhood experiences and adolescent mental health advancing concepts methods and evi - 29/11/2021

B number: 
B3931
Principal applicant name: 
Laura Howe | MRC Integrative Epidemiology Unit at the University of Bristol (United Kingdom)
Co-applicants: 
Annie Herbert, Rebecca Lacey
Title of project: 
Causal inference in the study of adverse childhood experiences and adolescent mental health: advancing concepts, methods and evi
Proposal summary: 

Adverse childhood experiences (ACEs) are “experiences which require significant adaptation by the developing child in terms of psychological, social and neurodevelopmental systems, and which are outside of the normal expected environment” (McLaughlin, 2016). Abuse and neglect; parental substance misuse, intimate partner violence, psychiatric disorders, and separation; and peer victimisation are often considered ACEs. Children who experience ACEs are more likely to develop neurodevelopmental or mental health problems (hereafter referred to collectively as mental health).
The vast majority of the literature documenting associations between ACEs and mental health simply describes associations, with limited attempt to investigate confounding. Study designs specifically intending to interrogate causality are seldom applied to ACEs research. Describing associations between ACEs and mental health can provide valuable information about support needs. However, the optimal design and prioritisation of policies and interventions necessitates higher-quality evidence to establish which aspects of an adolescent’s experiences are causally influencing mental health, and through which causal pathways.
This project will advance research into ACEs and adolescent mental health by looking at whether experiencing ACEs derails people from their mental health trajectory.

Impact of research: 
improved understanding of the causal nature of associations between ACEs and mental health
Date proposal received: 
Wednesday, 17 November, 2021
Date proposal approved: 
Monday, 29 November, 2021
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Addiction - e.g. alcohol, illicit drugs, smoking, gambling, etc., Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Developmental disorders - autism, Eating disorders - anorexia, bulimia, Mental health, Childhood - childcare, childhood adversity, Social science

B3922 - Understanding the role of inflammation in cognitive function and depression - 29/11/2021

B number: 
B3922
Principal applicant name: 
Hannah Jones | University of Bristol (United Kingdom)
Co-applicants: 
Ms Eimear Foley
Title of project: 
Understanding the role of inflammation in cognitive function and depression
Proposal summary: 

Cognitive dysfunction is proposed to be a feature and risk factor for depression. Evidence from observational and experimental studies suggest a role of low-grade systemic inflammation in depression, which could also be relevant for cognitive dysfunction. Existing cross-sectional studies suggest that inflammation is associated with cognitive dysfunction, particularly poor memory, processing speed, executive function and emotional bias. Limited longitudinal evidence, often based on the elderly population, also suggest a potential link between inflammation and impaired learning, memory, attention, and general cognitive functioning and decline. While these studies point to a potential role of inflammation in cognition, there are key unanswered questions.

First, much of the existing evidence around inflammation and cognition is based on the elderly population, so it is unclear whether inflammation is associated with cognition earlier in the life course. Second, it is unclear whether inflammation plays a causal role in cognitive dysfunction, as cytokine elevation could alternatively be a consequence of cognitive impairment (i.e., reverse causality) or due to confounding. I propose to address these issues using epidemiological approaches.

Impact of research: 
The proposed population-based studies would provide vital evidence on whether inflammation causally influences cognition by addressing key issues of reverse causality and residual confounding. The proposed work is also relevant for other brain disorders where cognitive dysfunction/decline is a key feature, notably Alzheimer’s disease and other dementias.
Date proposal received: 
Monday, 29 November, 2021
Date proposal approved: 
Monday, 29 November, 2021
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Cognitive impairment, Mental health, Inflammation, Cognition, Computer simulations/modelling/algorithms, Statistical methods, Cohort studies - attrition, bias, participant engagement, ethics, Cognition - cognitive function, Intelligence - memory, Mendelian randomisation, Inflammation, Cognition

B3937 - Scrambling ALSPAC genotype data for use in genetic course practicals - 29/11/2021

B number: 
B3937
Principal applicant name: 
Gibran Hemani | MRC Integrative Epidemiology Unit
Co-applicants: 
Josine Min, Lavinia Paternoster
Title of project: 
Scrambling ALSPAC genotype data for use in genetic course practicals
Proposal summary: 

We teach on many genetic epidemiology courses, and we need realistic genetic data that is relatively large and also non-sensitive for many of these projects. We have used a modified version of ALSPAC G1 individuals in the past in which genomes have been scrambled. In doing so, a representative set of samples with realistic correlation patterns is developed but contains no individuals that correspond to any real participants

Impact of research: 
Imparts useful practical skills to course participants
Date proposal received: 
Friday, 26 November, 2021
Date proposal approved: 
Monday, 29 November, 2021
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), None apply, Gene mapping, GWAS, Statistical methods, Genetic epidemiology, Genome wide association study

B3939 - Mapping disparities in childhood lead exposure in England - 09/12/2021

B number: 
B3939
Principal applicant name: 
Ludovica Gazze | University of Warwick
Co-applicants: 
Francis DiTraglia
Title of project: 
Mapping disparities in childhood lead exposure in England
Proposal summary: 

Our project aims to estimate the prevalence and distribution, in terms of geography and socioeconomic status, of lead exposure in England and its costs in terms of children’s wellbeing and development. While scholars and practitioners believe lead exposure to be widespread in England, a dearth of data on this issue has so far hindered policymaking. This proposal seeks funding for the initial project stage - a secondary data analysis, building on international evidence to project exposure burden in England, based on the existing data and the piloting of surveys to collect primary data to map exposure sources and prevalence.

Impact of research: 
This project is intended to produce several short-term and long-term outcomes, creating a rigorous public debate between scholars, policymakers, and practitioners on practical policy implications for childhood lead screening in England and the UK. The project will result in a creation of an unprecedented comprehensive database mapping local prevalence of lead exposure in children in England. These maps will allow us to communicate our findings to both policymakers and the general audience. More broadly, addressing our long-term research questions will offer practical guidance for practitioners and policymakers in designing and targeting lead poisoning prevention programs including childhood lead screening and remediation interventions. These results could serve as a starting point for a cost-benefit analysis of a childhood lead screening program. The end goal of our long-term research agenda is to inform changes in childhood lead exposure surveillance and prevention policy in the UK. To this end, we plan to continue to engage with stakeholders.
Date proposal received: 
Friday, 26 November, 2021
Date proposal approved: 
Monday, 29 November, 2021
Keywords: 
Health Economics, Environmental exposure, Statistical methods, Environment - enviromental exposure, pollution

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