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Analysis of genetic relatedness using DNA microarrays
2009 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Analysis of genetic relatedness is of great importance in forensic casework such as immigration and identification cases. The conventional methods for relationship testing are not sufficient in the most complicated cases, because more genetic markers are required to obtain results with satisfactory statistical security. This study demonstrates that microarrays, which can be used to genotype thousands of single nucleotide polymorphisms (SNPs), could be a promising solution to this problem. The microarray technique used in this study performed very well on blood samples and also worked well in combination with whole genome amplification, but did not generate any results when used on severely degraded materials.

Markers suitable for relatedness analysis were selected from the microarray and were successfully tested on families with known genetic relations. Although a maximum of 64 autosomal markers were used, there is a great potential of selecting the hundreds or thousands of markers that may be required in some cases of relatedness investigation.

Place, publisher, year, edition, pages
2009. , 65 p.
Keyword [en]
Microarray, DNA chip, Single nucleotide polymorphism, Genetic relatedness, Linkage
National Category
Industrial Biotechnology Other Industrial Biotechnology
Identifiers
URN: urn:nbn:se:liu:diva-16490ISRN: LiU-IKE-EX—09/03OAI: oai:DiVA.org:liu-16490DiVA: diva2:200825
Presentation
2009-01-22, Karljohan, Hälsouniversitetet, 581 83, Linköping, 10:00 (Swedish)
Uppsok
teknik
Supervisors
Examiners
Available from: 2009-03-05 Created: 2009-01-28 Last updated: 2009-03-05Bibliographically approved

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Industrial BiotechnologyOther Industrial Biotechnology

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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
  • text
  • asciidoc
  • rtf