Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Whole-genome ordinary ridge regression including gene-gene interaction effects
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The methodology of applying markers across the entire genome for the purpose of predicting genomic values, can improve prediction of complex traits. In this study, we considered all main effects (1981 markers) and epistatic effects (1962180 markers) in a wheat data set with 280 accessions to investigate  if the inclusion of epistatic effects can improve genomic prediction. The results of our simulations using the real data showed that the contribution of epistasis to phenotypic prediction is very small. However, including epistatic effects in the model allows us to separate the epistatic effects from the main effects (estimated by a model without epistasis).

Place, publisher, year, edition, pages
2013.
Series
IT, 13 017
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-196300OAI: oai:DiVA.org:uu-196300DiVA: diva2:609722
Educational program
Master Programme in Computational Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-03-07 Created: 2013-03-07 Last updated: 2013-03-07Bibliographically approved

Open Access in DiVA

fulltext(862 kB)408 downloads
File information
File name FULLTEXT01.pdfFile size 862 kBChecksum SHA-512
c8c24299849d3129867d37284b0fc2c82414c5d5a31f7600152f8ccdaae047e8a9ce3a3b6cc86ad8bdcae350aacbb0b8050b7701e5862f06a07eb7734d375934
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 408 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 589 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf