Department of Human Genetics, The University of Chicago, 920 E 58th Street, Chicago, IL 60637, USA.
Genes Brain Behav. 2011 Jul;10(5):604-14. doi: 10.1111/j.1601-183X.2011.00699.x. Epub 2011 May 31.
Anxiety, like other psychiatric disorders, is a complex neurobehavioral trait, making identification of causal genes difficult. In this study, we examined anxiety-like behavior and fear conditioning (FC) in an F(2) intercross of C57BL/6J and DBA/2J mice. We identified numerous quantitative trait loci (QTL) influencing anxiety-like behavior in both open field (OF) and FC tests. Many of these QTL were mapped back to the same chromosomal regions, regardless of behavior or test. For example, highly significant overlapping QTL on chromosome 1 were found in all FC measures as well as in center time measures in the OF. Other QTL exhibited strong temporal profiles over testing, highlighting dynamic relationship between genotype, test and changes in behavior. Next, we implemented a factor analysis design to account for the correlated nature of the behaviors measured. OF and FC behaviors loaded onto four main factors representing both anxiety and fear behaviors. Using multiple QTL modeling, we calculated the percentage variance in anxiety and fear explained by multiple QTL using both additive and interactive terms. Quantitative trait loci modeling resulted in a broad description of the genetic architecture underlying anxiety and fear accounting for 14-37% of trait variance. Factor analysis and multiple QTL modeling showed both unique and shared QTL for anxiety and fear; suggesting a partially overlapping genetic architecture for these two different models of anxiety.
焦虑症与其他精神障碍一样,是一种复杂的神经行为特征,这使得确定其致病基因变得困难。在这项研究中,我们在 C57BL/6J 和 DBA/2J 小鼠的 F2 杂交群体中检查了焦虑样行为和恐惧条件反射(FC)。我们在开放场(OF)和 FC 测试中发现了许多影响焦虑样行为的数量性状基因座(QTL)。这些 QTL 中的许多都映射回相同的染色体区域,无论行为或测试如何。例如,在所有 FC 测量值以及 OF 中的中心时间测量值中,染色体 1 上存在高度显著的重叠 QTL。其他 QTL 在测试过程中表现出很强的时间分布,突出了基因型、测试和行为变化之间的动态关系。接下来,我们实施了因子分析设计,以解释所测量行为的相关性。OF 和 FC 行为加载到四个主要因素上,代表焦虑和恐惧行为。使用多个 QTL 建模,我们使用加性和交互项计算了多个 QTL 对焦虑和恐惧的解释方差百分比。数量性状基因座建模对焦虑和恐惧的遗传结构进行了广泛描述,解释了 14-37%的性状方差。因子分析和多个 QTL 建模显示了焦虑和恐惧的独特和共同 QTL;这表明这两种不同的焦虑模型具有部分重叠的遗传结构。