View clinical trials related to Undiagnosed Disease.
Filter by:General aim of the study is the improvement of the clinical knowledge of ultra-rare inherited metabolic and degenerative neurological diseases (prevalence less than 5:100,000) in adulthood through the systematic longitudinal collection of clinical, laboratory and instrumental data.
This research study is being done to find markers and identify causes of rare and undiagnosed diseases by analyzing patient's DNA (i.e., genetic material), RNA, plasma, urine, tissues, or other samples that could be informative of symptoms. Researchers are creating a biobank (library) of samples and information to learn more about treating rare and undiagnosed diseases.
The primary purpose of this study is to discover new disease genes for rare Mendelian disorders and its secondary purpose include diagnosing people with rare genetic disorders that have not been previously diagnosed through conventional clinical means, learning more about the pathobiology of genetic disorders, and developing novel diagnostic technologies and analytics. 500 participants with undiagnosed and suspected genetic disorders will be recruited over approximately 5 years time.
Background: People with conditions that are unknown or hard to diagnose may be helped by a genetic technique. It is called exome sequencing. It helps diagnose disease by unlocking all the data in a person s genetic code. But the results from it are often unclear. Uncertain results can pose problems for doctors and patients. Researchers want to learn more about how people respond when they get uncertain results. Objective: To study the psychological and behavioral effects of getting uncertain results from exome sequencing. Eligibility: Adults who have: Had a diagnostic odyssey for at least 6 months. An example is having clinical symptoms but no diagnosis. And had exome sequencing to try to reach a diagnosis. Design: Participants will choose a date and time for their interview. They will sign a form to give consent and authorization. Participants will fill out 2 forms. One is the Intolerance of Uncertainty Short Form Scale. The other is the Perceptions of Uncertainties in Genome Sequencing Scale. Both scales ask about what it is like to get clinically uncertain results from exome sequencing. They focus on coping and other behavioral responses. Participants will have a phone interview. It will last for 45-60 minutes. It will be recorded and transcribed. At the start of the call, the researcher will review the consent form with the participant. Participants will give data such as race, education, income, and how long they have been looking for a diagnosis. Participants will read their responses to the 2 scales during the interview.
This study is designed to utilize whole exome and whole genome sequencing techniques to identify underlying genetic causes for undiagnosed disorders in the Plain Communities, and to do population genetic studies looking at genetic drift and founder mutations in this unique population.
Background: - Parents of a child with an undiagnosed medical condition face a lot of uncertainty. They may not know how to take care of their child or how the illness will affect their family life. Researchers want to study how these parents cope with and adapt to their child s condition in light of this uncertainty. Being uncertain can make it hard for parents to adapt. But it also might give them hope. Researchers want to study how uncertain the parents think their situation is and how that affects the way they think they can cope. Personality traits, like being able to handle uncertainty and being resilient, might also affect coping. Objectives: - To understand how having a child with an undiagnosed illness affects the way their parents think they can cope. Eligibility: - Adults with a child who has a medical condition that has not been diagnosed for at least 2 years and involves at least 2 parts of the body. Design: - Participants will answer survey questions for about 30 minutes. The questions are about their thoughts and feelings about having a child with an undisclosed illness. - Participants can take the survey on paper or online.
Approximately 66 million informal caregivers care for someone who is ill, disabled, or aged. These caregivers experience significant distress associated with caregiving, which may be particularly salient in the context of inherited conditions. Previous studies have not examined caregiving from a network perspective, nor have they considered how cognitive and emotional responses, such as caregivers worry for themselves and relatives acquiring the disease or guilt related to the genetic etiology of their child s illness, as possible stressors; the current project fills this literature gap. Caregiving processes may vary across type of illness and the life course. In illnesses that impact children, parents and grandparents may take on caregiving roles whereas in conditions that impact adults, spouses and adult children may provide care. Caregivers must adapt to the strain of caring for their affected relatives and this adaptation may differ depending on caregiver roles. The caregiver s support network may influence adaptation, impacting the health and well-being of patients, their caregivers, and other relatives. This project, comprised of 5 substudies, will examine social contexts surrounding families involved in caring for individuals with chronic inherited conditions from a relational perspective. Surveys and interviews will assess participants cognitions and emotions about the disease, caregiving burden and caregiving/support network systems. In addition, biomarkers will be considered in 2 substudies to examine how caregiving roles and expectations impact health among caregivers. As part of our current inquiry, we have developed an assessment tool aimed at understanding caregiver experiences related to dietary practices in the context of metabolic conditions. To evaluate the psychometric properties of this scale, we propose a fifth substudy under the current protocol. We aim to recruit at least 5550 participants through residential/daycare centers, advocacy groups, and the NIH Clinical Center. We will recruit formal caregivers, multiple biological and non-biological adult relatives of affected individuals and typically developing controls to construct and evaluate caregiving/support network systems. This project will use a social network framework to develop and adapt common measures of caregiving roles to evaluate burden, perceptual bias, and unmet expectations in caregiving. The psychometric properties of these new measures, characteristics of family caregiving and support networks, and how these network characteristics are associated with caregiving strain and well-being, including biomarkers of physical health, will be investigated. The moderating role of family members cognitions and emotions and disease context will be considered. Findings will guide future research to develop network-based interventions promoting positive adaptation to the presence of inherited conditions in families through improved social environments and coping skills....