Multiple Sclerosis Clinical Trial
Official title:
Integrating Genetic and Environmental Risk Scores Into an Algorithm to Predict Multiple Sclerosis Susceptibility
| NCT number | NCT01617395 |
| Other study ID # | 120122 |
| Secondary ID | 12-N-0122 |
| Status | Completed |
| Phase | |
| First received | |
| Last updated | |
| Start date | August 15, 2012 |
| Verified date | June 12, 2024 |
| Source | National Institutes of Health Clinical Center (CC) |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Observational |
Background: - Research shows that both genes and the environment influence a person s risk for getting multiple sclerosis (MS). However, it is not possible to accurately predict who will develop MS. Researchers want to study people with MS and their family members. They have developed a Genetic and Environmental Risk Score for MS. This score combines information from a person's medical history and genes. It also includes environmental factors that may be related to developing MS. This study will test this risk score to see if it can help predict who will develop MS. Objectives: - To evaluate a score for genetic and environmental risk factors that may help predict whether a person will develop MS. Eligibility: - Individuals at least 18 years of age who have MS. - Individuals between 18 to 50 years of age who are the parent, brother, sister, or child of a person with MS. Design: - People with MS will allow researchers to look at their personal and medical data. These data will have been collected in other MS-related studies. - Relatives of people with MS will fill out a questionnaire and give blood and saliva samples. They will fill out the questionnaire again one year later. - Some relatives will have additional optional testing. These tests will include a physical exam and imaging studies. There may also be other tests. These tests may be repeated every 1 to 5 years for 20 years.
| Status | Completed |
| Enrollment | 181 |
| Est. completion date | |
| Est. primary completion date | |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility | - INCLUSION CRITERIA: GEMS cohort (target n equals 1000) - First-degree relative (parent, sibling, or child) of a self-reported MS patient. - Age 18-50, inclusive, at the time of enrollment into the overall GEMS study. - Willingness to be contacted regarding additional follow-up procedures. - Cross-sectional subcohort (target n equal 150): - Referred by Columbia University Medical Center as having a genetic and environmental risk score (GERS), defined in Section 4.1.1, in the top or bottom 20% of the overall GEMS study. - NINDS Longitudinal subcohort (target n equal 100): - Ages 18-40, inclusive. - Referred by Columbia University Medical Center as having a GERS in the top 20% of the overall GEMS study. - Willing to undergo additional study procedures at the NIH for up to 20 years, with planned follow-up every year for participants between ages 18 and 25, every 2 years for participants between ages 26 and 30, and every 5 years for participants between ages 31 and 40. - Relative enrolled in NIH study with confirmation of MS diagnosis. MS patient cohort (target n=1000): - MS patients (NIH) - Co-enrolled in another Neuroimmunology Clinic natural history protocol. - Diagnosis confirmed at NIH. - Age 18 or older. - MS patient (non-NIH) - First-degree relative (parent, sibling, or child) of an existing GEMS participant. - Able and willing to send medical records associated with their MS diagnosis to NIH. - Healthy volunteer cohort (target n=80) - Age 18-50, inclusive. - No known first-degree relative (parent, sibling, or child) with MS. - All cohorts - Able to give informed consent. EXCLUSION CRITERIA: GEMS cohort -Diagnosis of MS. Cross-sectional and NINDS longitudinal subcohorts - Contraindications to MRI scanning. - Diagnosis of another central nervous system disease disease (CNS neoplasm, known cerebrovascular disease, known CNS degenerative diseases, or known CNS inflammatory diseases) at the time enrollment into the study. - MS cohort (both) --None - Healthy volunteer cohort - Diagnosis of MS or another central nervous system (CNS neoplasm, cerebrovascular disease CNS degenerative diseases, or CNS inflammatory diseases) or a systemic disease that would interfere with the aims of this study. - Contraindications to MRI scanning. Eligible NIH employees and staff may participate. |
| Country | Name | City | State |
|---|---|---|---|
| United States | National Institutes of Health Clinical Center | Bethesda | Maryland |
| Lead Sponsor | Collaborator |
|---|---|
| National Institute of Neurological Disorders and Stroke (NINDS) |
United States,
Ascherio A, Munger KL, Lennette ET, Spiegelman D, Hernan MA, Olek MJ, Hankinson SE, Hunter DJ. Epstein-Barr virus antibodies and risk of multiple sclerosis: a prospective study. JAMA. 2001 Dec 26;286(24):3083-8. doi: 10.1001/jama.286.24.3083. — View Citation
Balcer LJ. Clinical practice. Optic neuritis. N Engl J Med. 2006 Mar 23;354(12):1273-80. doi: 10.1056/NEJMcp053247. No abstract available. — View Citation
Chiappa KH. Use of evoked potentials for diagnosis of multiple sclerosis. Neurol Clin. 1988 Nov;6(4):861-80. — View Citation
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | presence or absence of lesions on T2-weighted brain MRI | For participants in the cross-sectional cohort, which consists of individuals at highest and lowest risk for MS, the primary outcome measure is the presence or absence of lesions on T2-weighted brain MRI that meet the 2010 MRI criteria for dissemination in space. | ongoing | |
| Primary | GERS | For participants in the overall GEMS study, the primary outcome measure is the GERS itself, as most participants in this cohort will not undergo further testing. | ongoing | |
| Secondary | The time lag between the appearance of asymptomatic radiological and laboratory abnormalities and the onset of clinical symptoms; | The time lag between the appearance of asymptomatic radiological and laboratory abnormalities and the onset of clinical symptoms; | ongoing | |
| Secondary | The time lag between defined exposures | time lag between defined exposures (for example, infectious mononucleosis) and the appearance of MS-related radiological, laboratory, and clinical abnormalities | ongoing | |
| Secondary | exploratory clinical, imaging, biological data in the cross sectional | exploratory clinical, imaging, and biological data in the cross sectional that may suggest subclinical MS disease activity | ongoing | |
| Secondary | development of MS-like abnormalities on brain imaging studies, abnormalities on laboratory testing, and clinical symptoms and signs. | The age at which participants develop MS-related abnormalities on brain imaging studies, abnormalities on laboratory testing, and clinical symptoms and signs; | ongoing |
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