Paediatrics (RCH) - Theses

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    Environment versus genetics in the development of health-related problems in childhood obesity
    Kao, Kung-Ting ( 2017)
    Introduction: Childhood obesity is a major health concern affecting a quarter of all Australian youth. Obese youth are at risk of multi-systemic obesity-related comorbidities (ORC), such as Prediabetes and Type 2 Diabetes Mellitus (T2DM), Hypertension, Hyperlipidaemia, Non-alcoholic fatty liver disease (NAFLD), Polycystic ovarian syndrome (PCOS), Obstructive sleep apnoea (OSA), mental health and orthopaedic issues. However, within the obese population, the severity of obesity is a poor predictor of these comorbidities. As such, current guidelines advise screening obese youth for all comorbidities, which is both time consuming and costly. ORC, as with obesity itself, are complex polygenic disorders involving interaction between genetic and environmental risk factors. Furthermore, many of these interactions are likely mediated by epigenetic variation, linking environmental exposures with genetic predisposition. Therefore, clarification of the role of environmental exposures, genetic risk factors and epigenetic profile in obese youth may provide valuable insight into determining which obese youth are at risk of developing ORC. The aim of this study was to characterise and investigate the associations between environmental, genetic and epigenetic factors with obesity-related comorbidities in obese youth. This information obtained will allow clinicians to better predict and profile the comorbidity burden in obese youth for targeting interventions to those most likely to benefit. Materials and Methods: The Childhood Overweight BioRepository of Australia collected comprehensive clinical and anthropometric data, as well as blood samples for genetic, metabolic and hormonal profile testing from patients (age 1 to 18 years) attending the Weight Management Clinic at the Royal Children’s Hospital, Melbourne. Anthropometric measures included standard measurements of weight, height and waist circumference (converted into BMI z-score (BMI-Z) and waist-height ratio for analyses) as well as total percentage body fat (%FM) and percentage truncal body fat (%truncal) using bioimpedance. Dietary intake was assessed using the Australian Child and Adolescent Eating Survey and physical activity was measured objectively using accelerometry. Genetic typing and epigenetic profiling of single nucleotide polymorphisms (SNP) and measures of DNA methylation were performed using the SEQUENOM MassARRAY platform. Results: 349 participants were included in the study. Both metabolic and non-metabolic ORC are common in obese youth. The most commonly used measure of adiposity, BMI-Z, was the anthropometric marker least associated with ORC, while important ORCs such as T2DM and hyperlipidaemia were not significantly associated with any of the anthropometric measures. The presence of two or more significantly elevated anthropometric markers was associated with the presence of a higher number of ORCs. Almost all obese youth reported poor vegetable intake and high sedentary behaviour (TV-watching and total media) time. Although initial analyses observed associations between sedentary behaviour (TV-watching and total media use time) with prediabetes and hyperlipidaemia, unhealthy food options with mental health issues, and high fruit intake with NAFLD, these associations lost significance after correction for multiple testing by false discovery procedure (FDR). However, low vitamin D levels were significantly associated with hypertension, independent of adiposity and season. The Fat Mass and Obesity (FTO) gene has the largest influence on adiposity amongst obesity-risk genes to date and has been associated with ORCs. In our cohort, the FTO risk allele was associated with poorer longitudinal weight outcomes in pre-pubertal children, but not pubertal adolescents. The FTO SNP however was not associated with any ORCs. We also examined the association between the top 22 T2DM risk SNPs identified from previous studies and Prediabetes or T2DM status. The SLC30A8 rs13266634 SNP appeared to be protective of prediabetes/T2DM status in unadjusted analysis but lost significant on FDR testing. The addition of T2DM SNPs profile to TV-watching time improved the predictive model for Prediabetes/T2DM status. We were not able to replicate the previously reported association of FTO CpG hypomethylation with prediabetes/T2DM in obese children and adolescents. However FTO hypomethylation was seen in obese youth with NAFLD, independent of age, sex and total body adiposity. FTO methylation was independent of FTO expression, which was not associated with any ORC. Conclusion: Anthropometry is not associated with comorbidities in childhood obesity. Environmental factors do not appear to be associated with comorbidities. Low vitamin D level is associated with hypertension. Genetic factors impact on weight gain but not comorbidities, and epigenetic factors may contribute to NAFLD. Combining these environmental and genetic elements with established clinical risk factors in the assessment of each individual ORC may assist in enhancing current clinical models of care for obese children and adolescents.
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    Investigating genomic and environmental risk factors and their interactions in juvenile idiopathic arthritis
    Chiaroni-Clarke, Rachel Carolyn ( 2017)
    Juvenile idiopathic arthritis (JIA) is a paediatric autoimmune disease arising from an abnormal immune response to self. It is the most common childhood rheumatic disease, with a prevalence of around 1 in 1000 Caucasian children. Disease prevalence is biased towards females, with around 2–3 females affected for every male. Due to the young age of onset, JIA can have a severe effect on a child’s growing skeleton and cause serious functional disability. And though onset is in childhood, the morbidity associated with JIA can be life-long as currently there is no cure for the disease, treatments are imperfect and preventative measures aren’t available – largely due to the limited understanding of disease pathogenesis. We hypothesised that genetic and environmental risk factors contribute individually and through interaction to cause JIA, and contribute to the sex bias in disease prevalence. The first aim of this study was to replicate the association of genetic variants that had previously been associated with JIA, in our independent sample. We confirmed the association of seven risk loci in our sample, six replicated for the first time. Our findings significantly strengthen the evidence that these loci harbour true JIA risk variants. The second aim of this study was to investigate whether autosomal genetic variants confer sex-specific risk for JIA. We established that of the 68 JIA risk loci tested, eight conferred sex-specific risk for JIA. Of these, three had statistically significant evidence of sex modifying the effect of that SNP on JIA. Of note, we replicated the femalespecific association of PTPN22 rs2476601 across two independent samples. Our findings illustrate that the genetic architecture of JIA differs between the sexes. Our third aim was to investigate whether the Y chromosome contributes to JIA risk in males. We determined that genetic variation captured by Y chromosome haplogroup I was associated with JIA risk, in males over the age of 6. We also demonstrated that there was an increased risk of JIA for males that had a father with autoimmune disease. Our findings are the first to suggest that the Y chromosome may play a role in JIA risk and provide further evidence that JIA has sex-specific genetic architecture. Next we considered the role of the environment in JIA risk. The fourth aim of this study was to assess the association between factors that impact vitamin D status and JIA. We identified a protective association between increasing UVR exposure over the life course and at 12 weeks of pregnancy, and JIA. Our findings are the first to implicate insufficient UVR exposure in the development of JIA. We then considered mechanisms through which genetic and environmental risk may be mediated, such as DNA methylation and gene expression. Our fifth aim was to identify sex-specific DNA methylation differences in CD4+ T cells between oligoarticular JIA cases and healthy controls. Oligoarticular JIA cases did not have substantial sex-specific DNA methylation differences when compared to controls, but there was evidence of modest case–control differences and these were more prominent in males than females. Our findings suggest that DNA methylation is not a significant driver of the sex bias in JIA. The final aim of this study was to investigate whether CD4+ T cell gene expression profiles differed between oligoarticular JIA cases and healthy controls. Oligoarticular JIA cases had aberrant gene expression relative to controls, suggesting that disease processes are in part driven by gene regulatory differences in CD4+ T cells. In conclusion, the cumulative findings of this study improve our understanding of the aetiology of JIA by revealing sex-specific genetic architecture for the disease, establishing UVR exposure as an environmental risk factor for JIA, and characterising the DNA methylation and gene expression signatures of the active disease state.
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    The identification and characterisation of novel genes associated with cardiomyopathy
    Phelan, Dean Graeme ( 2017)
    Cardiomyopathies are heart muscle disorders that have a diverse clinical presentation, spectrum of severity and underlying aetiology. The aim of this PhD project was to utilise new genetic technologies to identify and subsequently characterise novel genes associated with cardiomyopathy. Using this approach a novel cardiomyopathy associated gene called ALPK3 was identified. Utilising heart cells generated from patient induced pluripotent stem cells (iPSCs) we discovered that ALPK3 provides internal structure for heart cells and assists in the connection between cells.