Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 17 of 17 for “"genetic risk score"”.
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TRANSLATIONAL GENOMICS: THE IMPACT OF GENETIC RISK SCORE ON PATIENTS AND PHYSICIANS
… identified thousands of associations between genetic markers and complex disease risk. When several of these markers are used in combination, the predictive performance is strong; however, the clinical utility of multi-marker tests is not known. This thesis addresses a unifying question: Can …
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Cardiovascular Risk Genes in Prevention and Treatment Response
… (n=10881). METHODS AND RESULTS: A nine-SNP-lipid-genetic-risk-score was related to fluvastatin treatment-response in 395 MDC subjects with asymptomatic carotid atherosclerosis. In women, a higher score (conferring unfavorable baseline-lipid-levels) correlated with HDL-increase (P=0.001), …
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Individual Differences in the Dopaminergic Reward System: The Effect of Genetic Risk on Neural Reward Sensitivity and Risky Choice
… consequences, which can lead one to make risky choices. Rewards are processed in the mesolimbic dopamine reward system, and this system is in part modulated by genetic polymorphisms that are associated with dopamine transmission. The current study tested if genetic polymorphisms that are …
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Genetics of serum urate regulation in human health and disease
… were novel. These loci can be used to create a genetic risk score for urate that has considerable predictive potential for gout, assessed in the UK Biobank.
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Application of machine learning to the detection and prediction of Parkinson’s disease subtypes
… observe that Serum neurofilament light levels and genetic risk score also play an essential role in predicting PD subtypes. Conclusions: These data-driven results could help deconstruct the heterogeneity of patients. This discovery could have immediate clinical trial consequences by increasing the …
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Mechanisms of defective insulin secretion in type 2 diabetes
… and cell-physiological techniques to explore the genetic and cellular basis for impaired insulin secretion in T2D. We found that genetic variants for type 2 diabetes near TCF7L2 and ADRA2A were associated with reduced glucose-induced insulin secretion. Moreover, susceptibility variants near …
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Independent and interacting effects of diet and genetic risk on obesity-related comorbidities
… alone does not produce metabolic disease, and genetic variation can increase dyslipidemia risk. Nutrigenetics is a body of research investigating dietary and genetic interactions, but less research exists in non-European populations and individuals with obesity. Our objective was to explore …
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Translating autoimmune genetic risk scores into improved prediction and classification of disease
The clinical translation of established genetic risk for type 1 diabetes is hindered by a lack of standardisation and understanding of disease heterogeneity. This thesis aims to address these issues by utilising genetic risk scores (GRS) to enhance type 1 diabetes prediction, differential …
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Eating behaviour and the aetiology of obesity
… was used to interrogate: (1) the role of EB in genetic predisposition to obesity, (2) the interaction between infant EB and maternal attitudes in the determination of infant milk intake and weight and (3) the genetic basis of EB traits and risk-taking. First, the effect of body mass index …
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Candidate gene scoring to predict broad adolescent psychopathology
This Thesis was approved for publication on 2018-04-23 at 10:50.
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Genetic Determinants of Obesity in Relation to Diet, Weight Gain and Mortality
… believed to be a result of interactions between genetic and environmental factors. In this thesis we investigated the role of dietary factors in modifying the genetic susceptibility to obesity (papers I to III), studied the association between genetic susceptibility to obesity and weight gain at …
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Nature and nurture on picky eating behavior in early childhood
Eating behavior in children is influenced by both genetic and environmental determinants. In the first two years of life, children develop food preferences and dietary habits as they transition from a milk-based diet to table foods. During this time, picky eating behavior often emerges as children …
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Inflammatory Biomarkers, Genetics, and Survival among Colorectal Cancer Patients
Chronic inflammation significantly increases the risk of colorectal cancer (CRC) through inflammation-mediated mechanisms. Current evidence regarding the connection between circulating inflammatory biomarkers and CRC prognosis is limited to C-reactive protein (CRP) and interleukin (IL)-6. However, …
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Investigation of Genetic and Behavioural Determinants of Type 2 diabetes and Glycaemic Traits
… originates from a complex interplay between genetic, behavioural and environmental risk factors, the underlying mechanisms of which are unclear. The goal of this thesis was to investigate the contributions of genetic, metabolic and behavioural risk factors in the aetiology of T2D by studying …
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Genetic determinants of rates of cognitive decline in preclinical Alzheimer’s Disease
… turn both the identification of individuals at-risk for AD and, amongst these, those that are expected to decline over the course of a trial. While brain imaging to determine Aβ- amyloid burden has utility in identifying individuals with preclinical AD, further work needs to be conducted to …
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Interaction between dietary factors and genetic risk for lipoprotein traits and cardiovascular disease
… quality diet has been associated with a reduced risk of cardiovascular disease (CVD) compared to a low diet quality, and specific “healthy” diet components, such as polyunsaturated fatty acids (PUFAs), have been hypothesized to reduce the risk of CVD. However, results from epidemiological studies …
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Development and validation of risk prediction model for colorectal cancer in patients with gastrointestinal symptoms
… Early diagnosis could be enhanced through risk prediction models. Prediction model research includes model development (the multivariable prediction model selects influential predictor variables and estimates regression coefficients), validation (internal validation; external validation), …