Title :
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
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;
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
DOI :
10.1109/BSEC.2010.5510821
