Active clinical trials for "Genetic Predisposition to Disease"

To evaluate an alternative clinical genetics cancer care delivery model, using non-genetic providers to introduce and order genetic testing. 250 prostate and 250 pancreatic patients will be recruiting. They will undergo genetic testing and complete study questionnaires. Results from this pilot study will be used to inform the strategies used by the Clinical Risk Evaluation Program (CREP) Genetic Counelors (CGS) and GI/GU physicians to deliver genetic testing and return genetic risk information to patients with prostate or pancreatic cancer.

Nutritional status is a measurable and modifiable factor that is often not considered during treatment and its clinical impact undervalued due in part to the heavy demands on clinicians in low and middle income countries to deliver therapy to large numbers of patients. The proposed study will create a biobank of clinical data and biological specimens which will foster future studies on cancer progression and prognosis as well as toxicities during treatment which may impact survivorship and late-effects. Eligible patients must be between 3 years and 18 years of age at time of assent/consent, have newly diagnosed B- or T-cell acute lymphoblastic leukemia or mixed phenotype acute leukemia confirmed by pathology report, and must be receiving treatment at one of the participating centers. Patients receiving hematopoietic cell transplant will be excluded. Institutions were selected to ensure representation of several global health indicators related to nutritional status and wealth classification according to the World Bank. Data related to demographic variables (socioeconomic status, food security), lifestyle habits (diet, physical activity), nutritional anthropometrics (height, weight and arm anthropometry), and nutritional biological indices (stool and blood) will be collected at designated timepoints throughout treatment and one year after the end of treatment.

The GENOME + project will enroll patients (n = ca. 100) and their healthy parents with unclear molecular cause of the disease, suspected genetic cause of the disease and previous detailed molecular analysis like Whole Exome Sequencing (WES) did not lead to the identification of the disease causing mechanism. As well healthy parents of those affected for trio analysis (exception of one parent is not available for the study).

Alzheimer's disease is a devastating neurodegenerative disease characterized by accumulation of clumps (also called plaques) and bundles of fibers (also called tangles) in the brain, for which there is currently no cure. Sirolimus is an FDA-approved medication which may improve the blood flow to the brain. This study is designed to see if sirolimus treatment improves MRI blood flow to the brain in individuals with and without a genetic predisposition to Alzheimer's disease.

Every year, approximately 9,000 Parkinson disease (PD) patients undergo deep brain stimulator (DBS) placement into the subthalamic nucleus (STN-DBS). Studies suggest that PD patients with mutations in the glucocerebrosidase (GBA) gene are at high risk for cognitive impairment and approximately 10-17% of subjects undergoing DBS carry GBA mutations. There may be an interaction between STN-DBS, which also impairs cognitive function, and GBA, resulting in worsened cognitive function. This project will 1) determine the relationship between GBA mutation status and post-operative STN-DBS cognitive function, 2) broaden genotype-phenotype relationships of GBA mutation carriers and 3) provide scientific knowledge regarding the longitudinal cognitive effects of DBS in GBA mutation carriers through repeated neuropsychological testing.

The PopSeq Project is a prospective cohort study that will develop and implement a genomic return of results (gRoR) process in the Framingham Heart Study (FHS) and Jackson Heart Study (JHS) cohorts and explore associated medical, behavioral, and economic outcomes. The study will interpret the genomic sequences of JHS/FHS participants previously sequenced by TOPMed who have consented to genomic return of results and/or genetic testing. We will develop and apply new methods for scalable screening/ classification of genomic variants and will explore genomic penetrance by phenotyping a subset of participants in the FHS and JHS.

This protocol aims to evaluate the efficacy of a theoretically and stakeholder informed patient-centered genetic Interactive Health Communication Application to increase patient understanding of, and affective and behavioral responses to genetic testing. The study investigators hypothesize that the intervention will be associated with increases in knowledge, decreases in distress, increases in communication with relatives and health care providers, and increases in performance of risk reducing health behaviors.

A cluster randomized controlled study of 40 primary care clinics in Northern Israel (20 intervention clinics, 20 usual care clinics) to evaluate the value of introducing a precision medicine/genomic approach/paradigm on the clinical and economical outcomes of the clinics. Intervention includes 3 elements: 1. DNA extraction and evaluation (up to the level of WGS); 2. Feces sample for microbiome study, 3. Wearable devices for continuous monitoring of body functions. Expected number of participants is 100,000 in each arm. Results will be calculated for a clinic as a unit and not for individuals (each clinic to be compared to "twin" selected clinic).

To learn about patient barriers to accessing genetic medicine, we will analyze anonymous posts from a membership-based online community [Inspire.com], and investigate how these barriers differ for various populations. We will then test whether these barriers can be addressed by providing online access to a genetic counselor to answer patient questions for one group of patients (virtual advisory board group) and compare to that of a control group who does not have access to a genetic counselor (virtual peer-to-peer board group).

Many attempts to identify predictors of blood pressure response after renal denervation failed to identify a meaningful determination of blood pressure response. These attempts have been based on demographic parameters, clinical parameters, endocrine inflammatory and other biochemical variables, comorbidities and disease factors. So far the only predictor of blood pressure response is the pre-treatment blood pressure. According to Wilder's law the pre-treatment baseline value is always a determinant for any change due to an intervention, irrespective which biological variable is examined. The investigators propose a genetic approach to identify predictors of blood pressure response after renal denervation. Genetic factors are not subject to changes of clinical parameters, previous or current antihypertensive therapy, hypertension associated organ damages, comorbidities and other potential clinical variables.