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The Complex Genetics of Multiple Sclerosis: A preliminary study of MS-associated SNPs prior to a larger genotyping project
Linköping University, Department of Physics, Chemistry and Biology.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10,5 credits / 16 HE creditsStudent thesis
Abstract [en]

Biomedical research have been revolutionized by recent technological advances, both in the fields of molecular biology and computer science, turning the biomolecular and genetic research into “big data science”. One of the main objectives have been to improve our understanding of complex human diseases. Among those diseases, multiple sclerosis (MS) is considered as one of the most common. MS is a chronic autoimmune disease that cause inflammation and damage to the central nervous system. In this study, a set of bioinformatics analyses have been conducted on SNP data, as an initial step to gain more information prior to an upcoming genotyping project. The results showed extensive regulatory properties for the 761 selected SNPs, which is consistent with current scientific knowledge, and also identified another 332 SNPs in linkage to these. However, during the study some issues have also been identified, which need to be addressed going forward.

Place, publisher, year, edition, pages
2016. , 29 p.
Keyword [en]
Multiple Sclerosis, SNPs, Linkage Disequilibrium, T-cells, MHC, HLA
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:liu:diva-129423ISRN: LITH-IFM-G-EX-16/3154--SEOAI: oai:DiVA.org:liu-129423DiVA: diva2:939390
Subject / course
Chemical Biology
Presentation
2016-06-09, Nobel (BL32), IFM Linköpings universitet 581 83 Linköping, Linköping, 14:25 (Swedish)
Supervisors
Examiners
Available from: 2016-06-20 Created: 2016-06-19 Last updated: 2016-06-20Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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