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Clinical Trials: Rare Diseases
IRB No. 03-007-1 (Dr. Ernst Reichenberger, PI): Genetic Analysis of Human Disorders: Keloid Formation
The purpose of this study is to identify genes which cause or contribute to keloid formation. Keloids are wounds which grow beyond the margin of the original skin wound.
IRB No. 03-008-1 (Dr. Ernst Reichenberger, PI): Genetic Analysis of Human Disorders: Skeletal Disorders
The purpose of this study is the investigation of rare bone disorders such as craniometaphyseal dysplasia, cherubism, aplasia cutis congenita, gnathodiaphyseal dysplasia.
IRB No. 07-131-1 (Dr. Jonathan Covault, PI): Behavioral Gene Bank
The purpose of this registry/repository is to collect diagnostic data (psychiatric and medical diagnoses) and tissue specimens from subjects and/or family members in order to build a Behavioral Gene Bank (BGB). The registry/repository aims to study; subjects with known or suspected genetic or medical syndromes; families with high concentrations of psychiatric illness; and subjects with dysmorphic features or other clinical characteristics suggestive of a genetic or chromosomal disorder. Relatives of individuals with these features and healthy controls will also participate. Subjects will be invited to participate in further behavioral studies in the future.
IRB No. 13-132S-2 (Dr. Glenn Konopaske, PI): Enroll-HD: A Prospective Registry Study in a Global Huntington's Disease Cohort
Enroll HD is a worldwide observational study for people with HD and their family members. We are collecting data in an effort to improve our understanding and treatment of HD.
IRB No. 16-210-6 (Dr. Biree Andemariam, PI): 3D Microscopic Imaging to Differentiate Healthy vs Diseased Red Blood Cells
This study is a prospective, clinical/translational research study using peripheral blood from consenting SCD patients and healthy control volunteers. From our earlier experiments with red blood cells using the 3D microscope, we have found that the mechanics of cell membrane fluctuations are very sensitive to the state of health of the cell. Parameters extracted from the dynamic imaging of the cell (amplitude of cell membrane fluctuation, frequency of cell membrane fluctuation, volume fluctuation and dynamic light scattering) can be used to discriminate healthy and diseased cells. The present study is aimed at collecting dynamic information of healthy versus diseased cells to quantify mechanical properties and estimate the state of health of the cells as well as the effectiveness of the developed 3D microscope in automatic identification of diseases. We hypothesize that the 3D microscope will be able to discriminate between healthy and sickle cell disease red blood cells, a tool that will have practical use in diagnosis and treatment of the disease. We will enroll both healthy and sickle cell disease adults who are 18 years of age and older who have not had a transfusion in the past 3 months.