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全基因组关联分析在先进的近交系小鼠品系中对甲基苯丙胺敏感性的影响。

Genome-wide association for methamphetamine sensitivity in an advanced intercross mouse line.

机构信息

Department of Human Genetics, The University of Chicago, IL 60637, USA.

出版信息

Genes Brain Behav. 2012 Feb;11(1):52-61. doi: 10.1111/j.1601-183X.2011.00747.x. Epub 2011 Nov 23.

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.

摘要

对甲基苯丙胺(MA)的运动刺激作用的敏感性是一种可遗传的特征,它利用了与药物奖赏效应相关的神经回路。我们利用 C57BL/6J × DBA/2J F(2) 杂交(n = 676)和 C57BL/6J × DBA/2J F(8) 高级杂交系(Aap:B6,D2-G8;或 F(8)AIL;n = 552)的力量,鉴定和缩小与 MA 的运动刺激作用敏感性相关的数量性状基因座(QTL)。我们使用 QTLRel 程序同时在 F(2)和 F(8)AIL 小鼠中映射 QTL。我们鉴定了与基线运动活动相关的六个全基因组显著 QTL 和与 MA 诱导的运动激活相关的七个全基因组显著 QTL。在 F(2)和综合分析之间,QTL 宽度的平均百分比减少了 65%。此外,这些 QTL 在每个会话中表现出明显的时间特异性,这使我们能够进一步细化它们的位置,并确定一个 QTL,其 1.8-LOD 支持间隔为 1.47Mb。接下来,我们利用公开的生物信息学资源利用菌株特异性序列数据和菌株和区域特异性表达数据来鉴定候选基因。这些结果说明了 AIL 与序列和基因表达数据相结合在研究行为和其他特征的遗传基础方面的强大功能。

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