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DNA METHYLATION AGE ACCELERATION IN MULTIPLE SCLEROSIS
University of Skövde, School of Bioscience.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Age acceleration is a measure indicating if a tissue is aging at an expected rate or not. In this study,the epigenetic clock was used to calculate age acceleration based on DNA methylation values inMultiple Sclerosis datasets. The samples were of whole blood, purified blood cell types and neuronsand included individuals with the disease, as well as controls. Various factors were explored for theireffect on the age acceleration in the context of the disease. In addition, three different normalisationoptions (no normalisation, Noob and Funnorm normalisation) were compared in order to assess theireffect on the output of the epigenetic clock algorithm. Finally, a workflow was proposed for theepigenetic clock analysis, highlighting suitable methods for processing, analysing statistically andvisualising the data.

Place, publisher, year, edition, pages
2018. , p. 37
Keywords [en]
Bioinformatics, Epigenetics, Epigenetic Clock, Age Acceleration, Multiple Sclerosis
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:his:diva-15654OAI: oai:DiVA.org:his-15654DiVA, id: diva2:1220136
External cooperation
Center for Molecular Medicine, Karolinska Institute, Solna, Sweden
Subject / course
Bioinformatics
Educational program
Bioinformatics - Master’s Programme
Presentation
2018-06-07, Skövde, 09:00 (English)
Supervisors
Examiners
Available from: 2018-06-19 Created: 2018-06-18 Last updated: 2025-09-29Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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