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- W885771506 abstract "Diabetes mellitus is a result of various metabolic disorders causing continues hyperglycemia, which increases the risk for heart diseases, stroke, kidney failure and blindness. This disease is seen in a large section of world’s population and rapidly increasing worldwide. (1) The epigenetic marks can be transmitted by eukaryotic cell division (Mitosis) and also between generations of a species (Meiosis) (2). But these marks can be modified during the development by environmental factors(3). The epigenetic factors are necessary for an organism’s life and development but if it happens improperly then the organism’s health may be negatively affected (2, 4). DNA methylation is an epigenetic mark in humans and most vertebrates. DNA methylation usually occurs on the cytosine base (C) when it is followed by a guanosine base (G) a so called CpG site and a methyl group is attached to the carbon 5 position in the cytosine ring (2, 5). In this work bioinformatics analysis of Infinium HumanMethylation450 BeadChip data was performed in two different kind of human tissues; liver and pancreatic islets. DNA methylation of 485,577 probes were analyzed in genomic DNA extracted from samples of donors with type 2 diabetes as well as in human samples from non-diabetic subjects. The degree of DNA methylation has been related to disease status using bioinformatics and statistical methods. Examples of these methods are normalization, background correction, quality control, batch correction, Principal component analysis, Hierarchical clustering and multiple linear regression. This master thesis will identify CpG sites where diabetes is associated with differential DNA methylation. Different bioinformatics methods will be compared and the methods and results for the different studies will be described in this Master’s thesis paper." @default.
- W885771506 created "2016-06-24" @default.
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- W885771506 date "2015-01-01" @default.
- W885771506 modified "2023-09-27" @default.
- W885771506 title "Bioinformatics analysis of human epigenetic data" @default.
- W885771506 hasPublicationYear "2015" @default.
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