ID

44948

Description

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001833.v1.p1 NCT00794352 The goal of "Comprehensive Multimodal Analysis of Neuroimmunological Diseases of the CNS" is to define the pathophysiological mechanisms underlying the development of disability in immune-mediated disorders of the central nervous system (CNS) and to distinguish these from physiological (and often beneficial) responses of the human immune system to CNS injury. The long-term objective of the trial is to acquire knowledge that would allow us to therapeutically inhibit the pathogenic mechanisms and enhance repair mechanisms in immune-mediated CNS diseases, thereby minimizing the extent of CNS tissue damage and promoting recovery. To date, 460 patients with a confirmed diagnosis of multiple sclerosis (MS) have been enrolled into the natural history clinical trial. In addition to standardized clinical, functional, neuroimaging and molecular/immunological data, blood samples were also collected for genetic research. However, only 299 study participants with confirmed MS currently have whole genome sequencing data available. In addition to the genome-wide data available for the 299 MS patients, this dbGaP submission provides demographic and phenotypic information for each subject collected at various points throughout the trial. We include race and family history of MS collected at the baseline visit as well as age and measures of disease severity collected at the most recent visit. As these data were randomized into discovery and validation cohorts, we also indicate the assigned group in the phenotypic data. It is hoped that these data may be applied to the development of clinically-useful tools such as diagnostic tests and new, sensitive scales of neurological disability, disease severity and CNS tissue destruction. Principal Investigator: Bibiana Bielekova, PhD. National Institutes of Health, Bethesda, MD, USA Funding Sources: Intramural Research Program of the National Institute of Allergy and Infectious Diseases. National Institutes of Health, Bethesda, MD, USA Acknowledgement Statement: Please cite/reference the use of dbGaP data by including the dbGaP accession phs001833.v1.p1.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001833.v1.p1

Keywords

  1. 4/22/22 4/22/22 - Martin Dugas
  2. 5/12/22 5/12/22 - Martin Dugas
  3. 10/12/22 10/12/22 - Adrian Schulz
  4. 6/26/23 6/26/23 - Dr. Christian Niklas
Copyright Holder

Bibiana Bielekova, PhD. National Institutes of Health, Bethesda, MD, USA

Uploaded on

May 12, 2022

DOI

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License

Creative Commons BY 4.0

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dbGaP phs001833 Genetic Model of MS Severity Predicts Future Accumulation of Disability

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