Department of Anatomy and Neurobiology, Washington University in St Louis, St Louis, Missouri, USA.
Obesity (Silver Spring). 2010 Jul;18(7):1383-92. doi: 10.1038/oby.2009.411. Epub 2009 Nov 12.
Obesity develops in response to a combination of environmental effects and multiple genes of small effect. Although there has been significant progress in characterizing genes in many pathways contributing to metabolic disease, knowledge about the relationships of these genes to each other and their joint effects upon obesity lags behind. The LG,SM advanced intercross line (AIL) model of obesity has been used to characterize over 70 loci involved in fatpad weight, body weight, and organ weights. Each of these quantitative trait loci (QTLs) encompasses large regions of the genome and require fine-mapping to isolate causative sequence changes and possible mechanisms of action as indicated by the genetic architecture. In this study we fine-map QTLs first identified in the F(2) and F(2/3) populations in the combined F(9/10) advanced intercross generations. We observed significantly narrowed QTL confidence regions, identified many single QTL that resolve into multiple QTL peaks, and identified new QTLs that may have been previously masked due to opposite gene effects at closely linked loci. We also present further characterization of the pleiotropic and epistatic interactions underlying these obesity-related traits.
肥胖是对环境影响和多个微效基因共同作用的反应。尽管在描述代谢疾病相关通路中的基因方面已经取得了重大进展,但这些基因之间的关系及其对肥胖的共同影响的知识仍相对滞后。LG、SM 高级互交系(AIL)肥胖模型已被用于描述涉及脂肪垫重量、体重和器官重量的 70 多个位点。这些数量性状位点(QTL)中的每一个都涵盖了基因组的大片段,并且需要精细映射才能分离出致病序列变化和可能的作用机制,这表明遗传结构。在这项研究中,我们首先对 F(2)和 F(2/3)群体中鉴定的 QTL 进行了精细映射,这些 QTL 存在于 F(9/10)代高级互交系的联合群体中。我们观察到 QTL 置信区间显著缩小,确定了许多单一 QTL,这些 QTL 解析为多个 QTL 峰,并确定了新的 QTL,这些 QTL 可能由于紧密连锁的基因效应相反而之前被掩盖。我们还进一步描述了这些肥胖相关特征背后的多效性和上位性相互作用。