Joint ACTRIMS- ECTRIMS Meeting (MSBoston 2. MS Journal Online: Poster Session 1. Genetic risk factors are associated with cerebrospinal fluid measures in multiple sclerosis A Goris. I Pauwels. 1, MW Gustavsen. B Van Son. 4, K Hilven. SD Bos. 2,3, EG Celius. P Berg- Hansen. 2, J Aarseth. K- M Myhr. 5,6, S D’Alfonso. N Barizzone. 7, MA Leone. F Martinelli Boneschi. M Sorosina. 11, G Liberatore. I Kockum. 12, T Olsson. J Hillert. 12, L Alfredsson. SK Bedri. 12, B Hemmer. D Buck. 14, A Berthele. B Knier. 14, V Biberacher. V van Pesch. 15, C Sindic.
Applies To: Windows Server 2016. The content in this section describes what's new and changed in Windows Server® 2016. The new features and changes listed here are. AB Oturai. 16, HB Søndergaard. F Sellebjerg. 16, PE Jensen. M Comabella. 17, X Montalban. J Pérez- Boza. 17, S Malhotra. J Lechner- Scott. S Broadley. 19, M Slee. B Taylor. 21, A Kermode. P- A Gourraud. 23, S Sawcer. BK Andreassen. 25, B Dubois. HF Harbo. 2,3, the International Multiple Sclerosis Genetics Consortium. KU Leuven, Department of Neurosciences, Leuven, Belgium, 2. Oslo University Hospital, Department of Neurology, Oslo, Norway, 3. University of Oslo, Institute of Clinical Medicine, Oslo, Norway, 4. University Hospitals Leuven, Department of Neurology, Leuven, Belgium, 5. Haukeland University Hospital, Department of Neurology, Bergen, Norway, 6. University of Bergen, Department of Clinical Medicine, Bergen, Norway, 7. University of Eastern Piedmont, Department of Health Sciences, Novara, Italy, 8. University of Eastern Piedmont, Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Novara, Italy, 9. AOU “Maggiore della Carità”, Novara, Italy, 1. San Raffaele Scientific Institute, Department of Neuro- rehabilitation, Milan, Italy, 1. San Raffaele Scientific Institute, Division of Neuroscience, Milan, Italy, 1. Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden, 1. Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden, 1. Technische Universität München, Department of Neurology, Munich, Germany, 1. Université Catholique de Louvain- la- Neuve, Neurochemistry Unit, Louvain- la- Neuve, Belgium, 1. Copenhagen University Hospital, Department of Neurology, Copenhagen, Denmark, 1. Hospital Universitari Vall d’Hebron, Institut de Receca Vall d’Hebron, Barcelona, Spain, 1. University of Newcastle, Hunter Medical Research Institute, Newcastle, Australia, 1. Griffith University, School of Medicine, Queensland, Australia, 2. Flinders University of South Australia, School of Medicine, Adelaide, Australia, 2. University of Tasmania, Hobart, Australia, 2. University of Western Australia, Centre for Neuromuscular and Neurological Disorders, Crawley, Australia, 2. University of California San Francisco, School of Medicine, San Francisco, CA, United States, 2. University of Cambridge, Department of Clinical Neurosciences, Cambridge, United Kingdom, 2. University of Oslo, Department of Molecular Biology, Oslo, Norway. Background: Immunological hallmarks of multiple sclerosis (MS) are production of antibodies expressed as oligoclonal bands (OCB) and/or an increased level of immunoglobulin G compared to serum (Ig. G index) in the cerebrospinal fluid (CSF) of MS patients. However, the underlying differences between OCB positive and negative MS patients and reasons for variability in Ig. G index are not known. Objectives: Our aim was to identify genetic factors influencing the variation in the antibody production in the CSF in MS. Methods: We performed a genome- wide association screen in MS patients collected from eight countries for two traits: presence or absence of OCBs (N=3,0. Ig. G index levels (N=9. This screening phase was followed by a replication in 3,9. MS patients from eight countries. Results: The Major Histocompatibility Complex (MHC) region is the main determinant of presence of OCBs, with up to two- fold differences in the odds of being OCB positive depending on genotype combinations. We furthermore identify a region near the ELAC1/SMAD4 genes associated with OCB status. The previously reported Immunoglobulin Heavy Chain (IGHC) region and newly identified signals in the MHC region together explain 1. Ig. G index. Both traits (OCB and Ig. G index) are associated with clinical features of disease such as female gender, lower age at onset and increased severity. Conclusions: This is the largest study so far investigating the genetic influence on antibody production in the CSF in MS, including 6,9. MS patients from nine countries. We confirm that genetic factors underlie antibody production in the CSF in MS and identify both the MHC and IGHC region as major determinants.
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