{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Parker CC"],"funding":["NIDA NIH HHS","NIMH NIH HHS","NIAAA NIH HHS"],"pagination":["52-61"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC3368015"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(1)"],"pubmed_abstract":["Sensitivity to the locomotor stimulant effects of methamphetamine (MA) is a heritable trait that utilizes neurocircuitry also associated with the rewarding effects of drugs. We used the power of a C57BL/6J × DBA/2J F(2)  intercross (n = 676) and the precision of a C57BL/6J × DBA/2J F(8)  advanced intercross line (Aap: B6, D2-G8; or F(8)  AIL; n = 552) to identify and narrow quantitative trait loci (QTLs) associated with sensitivity to the locomotor stimulant effects of MA. We used the program QTLRel to simultaneously map QTL in the F(2)  and F(8)  AIL mice. We identified six genome-wide significant QTLs associated with locomotor activity at baseline and seven genome-wide significant QTLs associated with MA-induced locomotor activation. The average per cent decrease in QTL width between the F(2)  and the integrated analysis was 65%. Additionally, these QTLs showed a distinct temporal specificity within each session that allowed us to further refine their locations, and identify one QTL with a 1.8-LOD support interval of 1.47 Mb. Next, we utilized publicly available bioinformatics resources to exploit strain-specific sequence data and strain- and region-specific expression data to identify candidate genes. These results illustrate the power of AILs in conjunction with sequence and gene expression data to investigate the genetic underpinnings of behavioral and other traits."],"journal":["Genes, brain, and behavior"],"pubmed_title":["Genome-wide association for methamphetamine sensitivity in an advanced intercross mouse line."],"pmcid":["PMC3368015"],"funding_grant_id":["R01 MH079103","DA021336","DA024845","R21 DA024845","R03 DA027545","MH079103","R01 DA021336","U01AA016667","DA07255","T32 DA007255"],"pubmed_authors":["Cheng R","Palmer AA","Parker CC","Sokoloff G"],"additional_accession":[]},"is_claimable":false,"name":"Genome-wide association for methamphetamine sensitivity in an advanced intercross mouse line.","description":"Sensitivity to the locomotor stimulant effects of methamphetamine (MA) is a heritable trait that utilizes neurocircuitry also associated with the rewarding effects of drugs. We used the power of a C57BL/6J × DBA/2J F(2)  intercross (n = 676) and the precision of a C57BL/6J × DBA/2J F(8)  advanced intercross line (Aap: B6, D2-G8; or F(8)  AIL; n = 552) to identify and narrow quantitative trait loci (QTLs) associated with sensitivity to the locomotor stimulant effects of MA. We used the program QTLRel to simultaneously map QTL in the F(2)  and F(8)  AIL mice. We identified six genome-wide significant QTLs associated with locomotor activity at baseline and seven genome-wide significant QTLs associated with MA-induced locomotor activation. The average per cent decrease in QTL width between the F(2)  and the integrated analysis was 65%. Additionally, these QTLs showed a distinct temporal specificity within each session that allowed us to further refine their locations, and identify one QTL with a 1.8-LOD support interval of 1.47 Mb. Next, we utilized publicly available bioinformatics resources to exploit strain-specific sequence data and strain- and region-specific expression data to identify candidate genes. These results illustrate the power of AILs in conjunction with sequence and gene expression data to investigate the genetic underpinnings of behavioral and other traits.","dates":{"release":"2012-01-01T00:00:00Z","publication":"2012 Feb","modification":"2020-10-31T09:24:54Z","creation":"2019-03-27T00:54:11Z"},"accession":"S-EPMC3368015","cross_references":{"pubmed":["22032291"],"doi":["10.1111/j.1601-183X.2011.00747.x","10.1111/j.1601-183x.2011.00747.x"]}}