View clinical trials related to Genetic Disease.
Filter by:This is a single patient study of oral powdered fluoxetine to target developmental outcomes in a child with KCNC1-related disorder. This trial will be conducted at Holland Bloorview Kids Rehabilitation Hospital over 32 to 42 weeks, using a quasi experimental ABA phase design (placebo-fluoxetine-placebo) with randomized and blinded active treatment start and stop moments.
The goal of this hybrid type 1 effectiveness-implementation study is to evaluate and compare different ways of delivering genetic research results to participants. The main questions the study aims to answer are: - Is sharing actionable genetic research results with participants through a multimedia patient-informed eHealth intervention (e.g. patient portal) no worse than sharing results by telephone or videoconference with a genetic counselor? - Will research participants access an eHealth educational intervention or chatbot education to learn about research results being offered and the option to decline learning their individual research results and how frequently participants choose to decline actionable research results? - Who benefits less and more from digital intervention with return of actionable research results and what barriers exist to using these tools for return of research results outside this study? Participants in the biobank will be offered digital tools to learn about research results being offered and the option to decline receiving these results. Those who don't decline and have an actionable result will be randomly assigned to receive their results with a genetic counselor or through an eHealth portal. Participants will complete surveys before and after receipt of results to understand patient experiences with these methods of education and return of results to determine if digital tools can be used to help ensure more patients get access to research results which could impact their health.
The project is focused on the detailed study of structural genomic variants (SVs). Such genetic mutations are in fact alterations in the DNA molecule structure and include copy number variants, inversions and translocations. A single event may affect many genes as well as regulatory regions and the specific phenotypic consequences will depend on the location, genetic content and type of SV. Many times, the specific disease-causing mechanism is not known. Here, we plan to study the molecular genetic behavior of structural variants as well as the underlying mutational mechanisms involved. First, we will use genome sequencing to pinpoint the chromosomal breakpoints at the nucleotide level, characterize the genomic architecture at the breakpoints and study the relationship between structural variants and SNVs. Second, we will study how structural variants impact gene expression. Finally, we will functionally explore the disease mechanisms in vivo using zebrafish and in vitro using primary patient cells and induced pluripotent stem cells. Our studies will focus on the origin, structure and impact of structural variation on human disease. The results will directly lead to a higher mutation detection rate in genetic diagnostics. Through a better understanding of disease mechanisms our findings will also assist in the development of novel biomarkers and therapeutic strategies for patients with rare genetic disorders.
Parkinson's disease (PD) is the second most common neurodegenerative disease, which affects 2-3% of the general population above 65 years. There are significant differences in incidence depending on geographical location, race, and ethnicity. The exact cause of the disease is still unknown, but the role of genetic and environmental factors has already been established. Certain genetic forms of the disease make up for a small percentage, so it is thought that environmental factors have a more significant impact on the development of the disease. The incidence of PD is higher in people exposed to significant quantities of pesticides and traumatic brain injury, while there is a smaller incidence in smokers and people consuming more significant quantities of caffeine. The project will finish in four years, with the first 20 months dedicated to the first phase (genetic-epidemiological research), and the entirety of the 48 months for the second phase of the project (prospective clinical research). The main goal of the first phase of the project is to determine which genetic mutations are the ones most represented in the Croatian population afflicted with the familial form of PD. In the second phase the main goal is to determine the influence of genetic factors and microbiological factors on the disease's progression as well as on the treatment outcomes. Specific goals of this part of the project are to determine how many patients in the general population of PD patients present with a genetic disorder and which genes have a role in that disorder, as well as determine the composition of intestinal and oral microbiota both in the patient test group and the healthy control group. Furthermore, specific goals are to evaluate the effects of standard PD treatment on the composition of microbiota, neurodegeneration progression and the activity of neuroinflammation in the central nervous system (CNS) and to examine whether there is a link between the physiological and the pathophysiological function of microbiota, using markers of disease progression and glial activity. Last specific goal is to analyze potential pathological conformation protein forms that could be used as a biomarker in early stages of the disease and a biomarker of disease progression. The first phase of the study will provide the first epidemiologic data on the familial form of PD, as well as the mutations most represented in patients with PD in Croatia. Additionally, the prospective clinical study will contribute to enlightening the intertwined effects of genetic and environmental factors in the emergence and progression of the disease, as well as their effect on treatment outcome. Intestinal and oral microbiota composition analysis will determine whether there is a difference between PD and the healthy population while using the short-chain fatty acid profile will determine the metabolic differences between the two groups. Analyzing the markers of CNS homeostasis, inflammation, and neuroglial function will determine the progression of the disease and also correlate them to genetic factors as well as the microbiota function and composition. Analyzing the pathological conformation forms of alpha-synuclein could lead to the discovery of novel biomarkers in the early stages of the disease, as well as to follow the progression of the disease
The purpose of this study is to understand how the use of whole genome sequencing (WGS) may be able to increase the speed with which a diagnosis is made for patients in an intensive care unit population. This is not an assessment of a new device, test, or technology. This project is an investigation of the utility of this technology in clinical care when compared to standard of care testing. The study will look at the ability to more quickly diagnose a patient (time to diagnosis and efficacy of testing) as compared to standard of care testing. The study will also look at the impact of WGS on patient outcomes and cost of clinical care.
The proposed study is designed to provide patients previously enrolled in Phase 1 and 2 studies of DCR-PHXC and their siblings (<18 years old) long-term access to DCR-PHXC, and to evaluate the long-term safety and efficacy of DCR-PHXC in patients with PH.
This study aims to evaluate the electrophysiological properties of the heart conduction system in patients with unexplained polymorphic ventricular tachycardia (VT) and/or ventricular fibrillation (VF), in patients with specific genetic mutations regarding sudden cardiac death or sudden cardiac arrest, in their family members and in a control cohort. The electrophysiological properties will be measured with the relatively new technique ECG-Imaging (ECGI). Also a National Dutch registry for patients with unexplained polymorphic VT and/or VF and their family members will be created. By combining the data from the registry and the results of ECGI, The investigators hope to identity risk markers for patients at higher risk for apparently idiopathic ventricular fibrillation, and use these for an adapted flow chart for the 'general'population of patients at risk for unexplained polymorphic VT and/or VF. The investigators aim to be able to identify patients before the first arrhythmic event, and aim for better treatment strategies in the future.