Systems genetics analysis of molecular pathways underlying ethanol-induced behavioral phenotypes

Author

Ziebarth, Jesse D. ; Cook, Melloni N. ; Li, Biao ; Williams, Robert W. ; Lu, Lu ; Cui, Yan

Author_Institution

Dept. of Mol. Sci., Univ. of Tennessee Health Sci. Center (UTHSC), Memphis, TN, USA

fYear

2010

fDate

25-26 May 2010

Firstpage

1

Lastpage

4

Abstract

Acute behavioral responses to alcohol have been shown to be contributing factors to alcoholism, a disease that may be associated with high stress levels and brain injury. In this study, the LXS line of recombinant inbred mouse strains is used to develop understanding of the genetic basis of ethanol response, by finding links between genotype, gene expression data, and phenotypes associated with increased locomotor activity in mice treated with ethanol. The results of quantitative trait locus (QTL) mapping for phenotypes and gene expression data for LXS mice treated with alcohol are compared with a control group. A method in which Bayesian network modeling is used to discover casual pathways from genotype to gene expression to phenotype is also presented.

Keywords

belief networks; bioinformatics; cellular biophysics; genetics; genomics; molecular biophysics; Bayesian network modeling; LXS mice; alcoholism; brain injury; disease; ethanol-induced behavioral phenotypes; gene expression; genotype; molecular pathways; quantitative trait locus mapping; recombinant inbred mouse strains; stress levels; systems genetics analysis; Alcoholic beverages; Alcoholism; Brain injuries; Capacitive sensors; Diseases; Ethanol; Gene expression; Genetics; Mice; Stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Sciences and Engineering Conference (BSEC), 2010

Conference_Location

Oak Ridge, TN

Print_ISBN

978-1-4244-6713-6

Electronic_ISBN

978-1-4244-6714-3

Type

conf

DOI

10.1109/BSEC.2010.5510821

Filename

5510821