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A point mutation in PTPRC is associated with the development of multiple sclerosis

Overview of attention for article published in Nature Genetics, December 2000
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Title
A point mutation in PTPRC is associated with the development of multiple sclerosis
Published in
Nature Genetics, December 2000
DOI 10.1038/82659
Pubmed ID
Authors

Marc Jacobsen, Dorothee Schweer, Andreas Ziegler, Rami Gaber, Sabine Schock, Reinhard Schwinzer, Kurt Wonigeit, Ralf-Björn Lindert, Orhun Kantarci, Janet Schaefer-Klein, Hayo I. Schipper, Wolfgang H. Oertel, Fedor Heidenreich, Brian G. Weinshenker, Norbert Sommer, Bernhard Hemmer

Abstract

Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system. It is widely accepted that a dysregulated immune response against brain resident antigens is central to its yet unknown pathogenesis. Although there is evidence that the development of MS has a genetic component, specific genetic factors are largely unknown. Here we investigated the role of a point mutation in the gene (PTPRC) encoding protein-tyrosine phosphatase, receptor-type C (also known as CD45) in the heterozygous state in the development of MS. The nucleotide transition in exon 4 of the gene locus interferes with mRNA splicing and results in altered expression of CD45 isoforms on immune cells. In three of four independent case-control studies, we demonstrated an association of the mutation with MS. We found the PTPRC mutation to be linked to and associated with the disease in three MS nuclear families. In one additional family, we found the same variant CD45 phenotype, with an as-yet-unknown origin, among the members affected with MS. Our findings suggest an association of the mutation in PTPRC with the development of MS in some families.

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Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Brazil 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Bachelor 9 12%
Researcher 9 12%
Student > Master 7 9%
Other 6 8%
Other 15 20%
Unknown 15 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 30%
Medicine and Dentistry 15 20%
Neuroscience 6 8%
Biochemistry, Genetics and Molecular Biology 5 7%
Immunology and Microbiology 5 7%
Other 2 3%
Unknown 19 26%