Literature DB >> 16482403

Identification of QTLs influencing alcohol preference in the High Alcohol Preferring (HAP) and Low Alcohol Preferring (LAP) mouse lines.

Paula J Bice1, Tatiana Foroud, Lucinda G Carr, Lili Zhang, Lixiang Liu, Nicholas J Grahame, Lawrence Lumeng, Ting-Kai Li, John K Belknap.   

Abstract

The High- and Low-Alcohol Preferring (HAP1/LAP1 and HAP2/LAP2) mouse lines were developed by selective breeding for differences in alcohol preference. They represent the only extant selectively bred mouse lines developed for this alcohol phenotype. Therefore, they provide a unique resource for QTL detection and mapping. Importantly, neither of the replicate lines is inbred and therefore, novel study designs can be employed to detect loci contributing to alcohol preference. Two independent studies, with very different approaches, were conducted in the HAP and LAP replicate lines. In Study 1, microsatellite markers were genotyped in the replicate HAP1/LAP1 and HAP2/LAP2 mice in QTL regions nominated by other mouse RI and F2 studies in order to detect divergence of allele frequencies in the two oppositely selected lines. Significant differences in allele frequencies were observed in the HAP1/LAP1 mice with markers on chromosome 9 (p<0.01). In the HAP2/LAP2 mice, significant differences in allele frequencies were identified on chromosomes 2 and 9 (p<0.01). In Study 2, a genome-wide screen was performed in a sample of 432 HAP1xLAP1 F2 animals and a QTL on chromosome 9 (LOD=5.04) was found which met criteria for genome wide significance (p<0.001). Gender specific analyses supported a greater effect of the QTL among female mice (LOD=5.19; p<0.0008) than male mice (LOD=1.19). This study provides additional evidence and confirmation that specific regions on chromosomes 9 and perhaps 2 are important for alcohol preference.

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Year:  2006        PMID: 16482403     DOI: 10.1007/s10519-005-9019-6

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  24 in total

Review 1.  The complexity of alcohol drinking: studies in rodent genetic models.

Authors:  John C Crabbe; Tamara J Phillips; John K Belknap
Journal:  Behav Genet       Date:  2010-06-15       Impact factor: 2.805

2.  Candidate genes and their regulatory elements: alcohol preference and tolerance.

Authors:  Laura Saba; Sanjiv V Bhave; Nicholas Grahame; Paula Bice; Razvan Lapadat; John Belknap; Paula L Hoffman; Boris Tabakoff
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

3.  Mapping of QTLs for oral alcohol self-administration in B6.C and B6.I quasi-congenic RQI strains.

Authors:  Csaba Vadasz; Mariko Saito; Beatrix M Gyetvai; Melinda Oros; Istvan Szakall; Krisztina M Kovacs; Vidudala V T S Prasad; Grant Morahan; Reka Toth
Journal:  Neurochem Res       Date:  2007-02-02       Impact factor: 3.996

4.  Influence of sex on genetic regulation of "drinking in the dark" alcohol consumption.

Authors:  Lauren A Vanderlinden; Laura M Saba; Beth Bennett; Paula L Hoffman; Boris Tabakoff
Journal:  Mamm Genome       Date:  2015-01-06       Impact factor: 2.957

5.  Gender-Specific Effects of Selection for Drinking in the Dark on the Network Roles of Coding and Noncoding RNAs.

Authors:  Ovidiu Dan Iancu; Alex M Colville; Beth Wilmot; Robert Searles; Priscila Darakjian; Christina Zheng; Shannon McWeeney; Sunita Kawane; John C Crabbe; Pamela Metten; Denesa Oberbeck; Robert Hitzemann
Journal:  Alcohol Clin Exp Res       Date:  2018-06-22       Impact factor: 3.455

Review 6.  Modeling the diagnostic criteria for alcohol dependence with genetic animal models.

Authors:  John C Crabbe; Kenneth S Kendler; Robert J Hitzemann
Journal:  Curr Top Behav Neurosci       Date:  2013

7.  Gene Expression Under the Influence: Transcriptional Profiling of Ethanol in the Brain.

Authors:  Candice Contet
Journal:  Curr Psychopharmacol       Date:  2012-11

8.  Drd2 expression in the high alcohol-preferring and low alcohol-preferring mice.

Authors:  Paula J Bice; Tiebing Liang; Lili Zhang; Wendy N Strother; Lucinda G Carr
Journal:  Mamm Genome       Date:  2008-01-23       Impact factor: 2.957

9.  Nine generations of selection for high and low nicotine intake in outbred Sprague-Dawley rats.

Authors:  Tanseli Nesil; Lutfiye Kanit; Ming D Li; Sakire Pogun
Journal:  Behav Genet       Date:  2013-08-04       Impact factor: 2.805

10.  Genetics of gene expression characterizes response to selective breeding for alcohol preference.

Authors:  P L Hoffman; L M Saba; S Flink; N J Grahame; K Kechris; B Tabakoff
Journal:  Genes Brain Behav       Date:  2014-09-29       Impact factor: 3.449

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