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Understanding the Genetic Nature of Multiple Sclerosis Using Next-Generation Sequencing Genomic Analysis Methods

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dc.creator Fahad Almsned
dc.date.accessioned 2022-01-25T19:23:55Z
dc.date.available 2022-01-25T19:23:55Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/1920/12543
dc.description.abstract Multiple Sclerosis (MS) is an incapacitating neurological illness, where changesin gene expression play a crucial role. Affecting nearly two million people worldwide, MS is the most common acquired neurological disorder of young adults just after physical trauma. Up to now, an understanding of the complex molecular mechanism of MS, which is vital to develop effective therapies, has remained elusive. Most of the studies that have been conducted to address this problem have used microarray technology, which does not reflect the high variability of protein expression. The primary goal of this work was to analyze the molecular interactions and possible sequence variants underlying the pathogenesis of Multiple Sclerosis (MS) by utilizing RNA-Seq expression data, which is also capable of catching the high variability in protein expression associated with MS pathology. Results from this study will deliver a better understanding of the complex molecular mechanisms underlying MS and, hopefully, provide a groundwork for effective therapeutics. At the end of the study, I ended up with a list of candidate genes, among them Transcriptions Factors and Single Nucleotide. Polymorphisms with potential implications in MS. Future studies will need to incorporate more metadata and biological replicates in the analysis. Experimental validation will also be required.
dc.title Understanding the Genetic Nature of Multiple Sclerosis Using Next-Generation Sequencing Genomic Analysis Methods
thesis.degree.level Ph.D.
thesis.degree.discipline Bioinformatics and Computational Biology
thesis.degree.grantor George Mason University


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