Observational Study of Advanced Data Analytics in Genetic Conditions

Sponsor
National Human Genome Research Institute (NHGRI) (NIH)
Overall Status
Not yet recruiting
CT.gov ID
NCT05657405
Collaborator
(none)
1,250
1
118.8
10.5

Study Details

Study Description

Brief Summary

Background:

The genes a person is born with can sometimes cause serious diseases. Genetic diseases are rare, but they can have a big impact on the people they affect. Researchers have already made great strides in understanding how some genes cause disease. But they would like to have even better tools to analyze and understand genetic data. To create these new tools, they need to gather health and genetic data from a lot of people.

Objective:

This natural history study will gather medical information from people with genetic conditions.

Eligibility:

People of any age who (1) are known or suspected to have a genetic condition or (2) have a family member with a known or suspected genetic condition.

Design:

Participants will come to the clinic for up to 4 days. Tests to be performed will vary depending on the nature of each participant s health issue. The tests may include:

Blood and saliva. Blood may be drawn from a vein; cells and saliva may be collected by rubbing the inside of the cheek with a swab. These would be used for genetic testing.

Imaging scans. Participants may have X-rays or other scans of their bodies. They may lie still on a table while a machine records the images.

Heart tests. Participants may lie still while a technician places a probe on their chest. They may also have stickers attached to wires placed on their chest.

Photographs and recordings. Pictures may be taken of facial features, skin changes, or other effects of the genetic condition. Video and audio recordings may also be made.

Some people may be able to participate via telehealth.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    Study Description:

    We hypothesize that the use of advanced, computationally-based analytic techniques can provide insights into the causes, manifestations, and mechanisms of genetic diseases. To address this hypothesis, we will collect phenotypic and biologic data relevant to genetic conditions and will study computational tools that analyze these data.

    Objectives:

    Primary Objectives: To collect, collate, and analyze datasets relevant to genetic conditions using advanced computational approaches, with the objective of developing and iterating novel methods that can efficiently and accurately parse diverse, complex datasets related to genetic conditions to reveal novel clinical and biological insights, and that can be compared to current and other state-of-the-art approaches.

    Endpoints:

    Primary Endpoint: Not applicable

    Secondary Endpoints: Not applicable

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    1250 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Observational Study of Advanced Data Analytics in Genetic Conditions
    Anticipated Study Start Date :
    Feb 6, 2023
    Anticipated Primary Completion Date :
    Dec 31, 2032
    Anticipated Study Completion Date :
    Dec 31, 2032

    Arms and Interventions

    Arm Intervention/Treatment
    Affected

    Individuals with known or suspect genetic conditions

    Family member

    Family members of individuals with known or suspected genetic conditions

    Outcome Measures

    Primary Outcome Measures

    1. Natural History [Ongoing]

      To collect, collate, and analyze datasets relevant to genetic conditions using advanced computational approaches, with the objective of developing and iterating novel methods that can efficiently and accurately parse diverse, complex datasets related to genetic conditions to reveal novel clinical and biological insights

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    N/A and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    Yes
    • INCLUSION CRITERIA:

    To be eligible to participate in the website-based data collection portion, individuals must be known or suspected to have a genetic condition, or to be the relative of a person with a known or suspected genetic condition, and be willing to consent to and share the requested information with the study team. Adults unable to provide consent must have a Legally Authorized Representative [LAR] (who can provide evidence of this status by providing guardianship paperwork, which will be verified) be able to provide consent.

    To be eligible for the Clinical Center-based portion of this study, an individual must meet all of the following criteria:

    • Stated willingness to comply with all study procedures and availability for the duration of the study

    • Male or female, from age 0 to over 100 years of age (the NIH Clinical Center s age-based eligibility criteria will be followed for any individuals who come to the Clinical Center for participation such that inpatient admissions will not include pediatric patients <3 years old or < 12 kg; outpatient visits for individuals <3 years old or <12 kg will only proceed with permission of the pediatric assessment team)

    • Either:

    • A person who is known or suspected to have a genetic condition based on medical and/or family history

    • A person who is a family member of a person known or suspected to have a genetic condition (and who is themselves not known or suspected to have a genetic condition)

    • Ability of subject (or Legally Authorized Representative [LAR], who can provide evidence of this status, as described above) to understand and the willingness to sign a written informed consent document.

    EXCLUSION CRITERIA:

    Individuals who are pregnant will be excluded from the Clinical Center-based portion of the study. There are no other exclusionary criteria except that individuals will be excluded from participation in this study if they are unable or unwilling to participate.

    The PI/AI may decline to enroll a patient for reasons such as being medically unstable, residing in a hospital, or for any concerns arising after review of the laboratory and clinical data.

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 National Institutes of Health Clinical Center Bethesda Maryland United States 20892

    Sponsors and Collaborators

    • National Human Genome Research Institute (NHGRI)

    Investigators

    • Principal Investigator: Benjamin D Solomon, M.D., National Human Genome Research Institute (NHGRI)

    Study Documents (Full-Text)

    None provided.

    More Information

    Additional Information:

    Publications

    None provided.
    Responsible Party:
    National Human Genome Research Institute (NHGRI)
    ClinicalTrials.gov Identifier:
    NCT05657405
    Other Study ID Numbers:
    • 10000547
    • 000547-HG
    First Posted:
    Dec 20, 2022
    Last Update Posted:
    Feb 1, 2023
    Last Verified:
    Dec 15, 2022
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Keywords provided by National Human Genome Research Institute (NHGRI)
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Feb 1, 2023