Recruiting

Genetic Conditions

Sponsor:

National Human Genome Research Institute (NHGRI)

Code:

NCT05657405

Conditions

Genetic Conditions

Eligibility Criteria

Sex: All

Age: 0 - 70+

Healthy Volunteers: Accepted

Study Details

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.

Conditions

Genetic Conditions

Study ID

NCT05657405

Start date

Jul 29, 2026

Status verified date

Aug 14, 2026

Completion date

Dec 31, 2032

Anticipated

Primary completion date

Dec 31, 2032

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 0 - 70+

Healthy Volunteers: Accepted

  • 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 individuals <3 years of age will have a screening form submitted to the Pediatrics consult service, and admissions will follow current Clinical Center limits based on age such that admissions to 1NW generally have to be > 2 years of age)
  • 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.

To be eligible for the virtual conversation 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
  • Either:

  • A person over 18 years of age who is known to have a genetic condition based on medical and/or family history
  • A parent or guardian of a person known 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.

Study Design

Enrollment

1250 participants

Anticipated

Interventions and Outcome Measures

Arms

Affected

Individuals with known or suspect genetic conditions

Family member

Family members of individuals with known or suspected genetic conditions

Primary outcome measure

  • Natural History [ Time Frame: Ongoing ]

Central Contacts and Locations

Central contacts

Locations

National Institutes of Health Clinical Center

Recruiting

Bethesda, Maryland, United States, 20892

Contacts

For more information at the NIH Clinical Center contact Office of Patient Recruitment (OPR)

800-411-1222ccopr@nih.gov

More Information

Sponsor

National Human Genome Research Institute (NHGRI)

Last update posted

Aug 18, 2026

Last verified

Aug 14, 2026

Keywords

  • Artificial Intelligence
  • Genetic Conditions
  • Deep Learning
  • Advanced Analytics
  • Computer Vision
  • Natural History

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-10. This information was provided to ClinicalTrials.gov by National Human Genome Research Institute (NHGRI) on 2026-08-18.