Comparing Quantitative Trait Loci and Gene Expression Data. (16th September 2008)
- Record Type:
- Journal Article
- Title:
- Comparing Quantitative Trait Loci and Gene Expression Data. (16th September 2008)
- Main Title:
- Comparing Quantitative Trait Loci and Gene Expression Data
- Authors:
- Han, Bing
Altman, Naomi S.
Mong, Jessica A.
Klein, Laura Cousino
Pfaff, Donald W.
Vandenbergh, David J. - Other Names:
- Spang Rainer Academic Editor.
- Abstract:
- Abstract : We develop methods to compare the positions of quantitative trait loci (QTL) with a set of genes selected by other methods, such as microarray experiments, from a sequenced genome. We apply our methods to QTL for addictive behavior in mouse, and a set of genes upregulated in a region of the brain associated with addictive behavior, the nucleus accumbens (NA). The association between the QTL and NA genes is not significantly stronger than expected by chance. However, chromosomes 2 and 16 do show strong associations suggesting that genes on these chromosomes might be associated with addictive behavior. The statistical methodology developed for this study can be applied to similar studies to assess the mutual information in microarray and QTL analyses.
- Is Part Of:
- Advances in bioinformatics. Volume 2008(2008)
- Journal:
- Advances in bioinformatics
- Issue:
- Volume 2008(2008)
- Issue Display:
- Volume 2008, Issue 2008 (2008)
- Year:
- 2008
- Volume:
- 2008
- Issue:
- 2008
- Issue Sort Value:
- 2008-2008-2008-0000
- Page Start:
- Page End:
- Publication Date:
- 2008-09-16
- Subjects:
- Bioinformatics -- Periodicals
Bioinformatics
Computational Biology -- Periodicals
Periodicals
570.285 - Journal URLs:
- http://bibpurl.oclc.org/web/52720 ↗
https://www.hindawi.com/journals/abi/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/984/ ↗ - DOI:
- 10.1155/2008/719818 ↗
- Languages:
- English
- ISSNs:
- 1687-8027
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10245.xml