This application both requests continued support for the research objectives of AA 011034 and responds to PA-03-162 -""""""""FINDING GENES FOR ALCOHOL-RELATED BEHAVIORS AND RISK FOR ALCOHOLISM"""""""" - in that we propose to implement a high throughput strategy for the detection of quantitative trait genes (QTGs). The new strategy will integrate several different experimental approaches, all of which are """"""""on-line"""""""" in the participating laboratories. These include multiple cross mapping [MCM] (Hitzemann et al. 2002, 2003a), fine mapping in heterogenous stock [HS] animals (Demarest et al. 2001; Hitzemann et al. 2002, 2003a), the integration of QTL analysis and functional genomics (Belknap et al. 2001; Hitzemann et al. 2003a,b), the use of short term selective breeding to confirm QTLs and follow gene segregation (Belknap et al. 1997; Metten et al. 1998) and QTL confirmation in BAC transgenic mice (Buck et al. - Section D).
The specific aims may be summarized: l. To fine map in heterogeneous stock (HS) animals (to a resolution of 1 cM or less) known QTLs for ethanol-induced activation, ethanol preference and acute ethanol withdrawal. 2. To integrate short term selective breeding and gene expression analysis. 3. To determine which genes within the QTL interval (aim 1) show the genotype x phenotype appropriate expression pattern. 4. To determine which genes within the QTL interval are cis-regulated. 5. To use all available strategies to provide additional proof of QTL --> QTG (see Belknap et al. 2001).
Aims 1 -4 build from our previous arguments (Belknap et al. 2001; Phillips et al. 2002; Hitzemann et al. 2002, 2003a) and describe a strategy which provides the requisite interlocking levels of proof to move in a timely fashion from QTL --> QTG. A candidate QTG must lie in the 1 cM interval, exhibit the appropriate pattern of segregation with short term selective breeding, show the QTL appropriate difference in expression among the inbred strains and be cis-regulated. We argue that such multiple sources of evidence will exclude the possibility of a false positive result.
Aim 5 will test this hypothesis ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Project (R01)
Project #
3R01AA011034-12S1
Application #
7252855
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Neuhold, Lisa
Project Start
1996-03-01
Project End
2009-06-30
Budget Start
2006-07-01
Budget End
2007-06-30
Support Year
12
Fiscal Year
2006
Total Cost
$131,204
Indirect Cost
Name
Oregon Health and Science University
Department
Other Basic Sciences
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
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Colville, A M; Iancu, O D; Oberbeck, D L et al. (2017) Effects of selection for ethanol preference on gene expression in the nucleus accumbens of HS-CC mice. Genes Brain Behav 16:462-471
Chesler, Elissa J; Gatti, Daniel M; Morgan, Andrew P et al. (2016) Diversity Outbred Mice at 21: Maintaining Allelic Variation in the Face of Selection. G3 (Bethesda) 6:3893-3902
Thanos, Panayotis K; Hamilton, John; O'Rourke, Joseph R et al. (2016) Dopamine D2 gene expression interacts with environmental enrichment to impact lifespan and behavior. Oncotarget 7:19111-23
Urban, Daniel J; Zhu, Hu; Marcinkiewcz, Catherine A et al. (2016) Elucidation of The Behavioral Program and Neuronal Network Encoded by Dorsal Raphe Serotonergic Neurons. Neuropsychopharmacology 41:1404-15
Thanos, Panayotis K; Michaelides, Mike; Subrize, Mike et al. (2015) Roux-en-Y Gastric Bypass Alters Brain Activity in Regions that Underlie Reward and Taste Perception. PLoS One 10:e0125570
Zheng, Christina L; Wilmot, Beth; Walter, Nicole Ar et al. (2015) Splicing landscape of the eight collaborative cross founder strains. BMC Genomics 16:52
Iancu, Ovidiu D; Colville, Alexandre; Oberbeck, Denesa et al. (2015) Cosplicing network analysis of mammalian brain RNA-Seq data utilizing WGCNA and Mantel correlations. Front Genet 6:174
Hitzemann, Robert; Darakjian, Priscila; Walter, Nikki et al. (2014) Introduction to sequencing the brain transcriptome. Int Rev Neurobiol 116:1-19
Hitzemann, Robert; Bottomly, Daniel; Iancu, Ovidiu et al. (2014) The genetics of gene expression in complex mouse crosses as a tool to study the molecular underpinnings of behavior traits. Mamm Genome 25:12-22

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