Genome-wide association analysis is emerging as a powerful tool to define novel genes and molecular pathways involved in susceptibility to human complex disorders. However, in spite of recent successes, this approach is not without its limitations, the most notable of which is inconsistent phenotype penetrance due to varied environmental exposures. Mouse models do, however, circumvent some of these drawbacks by allowing for a much higher degree of control over genetic variation and environmental exposure, and although their application to human complex genetics is not always straightforward, they do serve as a powerful means of complementing observations in human populations. Mouse quantitative trait locus mapping has proven a successful, yet technically demanding method for defining trait susceptibility. In this review, we focus upon recent advances that are both reducing the technical burden traditionally associated with quantitative trait locus mapping, and enhancing the applicability of these approaches to human disease.

中文翻译：

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在全基因组关联研究时代，用鼠标QTL作图来诊断小鼠疾病的未来。

全基因组关联分析正在成为定义与人类复杂疾病易感性有关的新基因和分子途径的强大工具。然而，尽管最近取得了成功，但这种方法并非没有局限性，其中最引人注目的是由于各种环境暴露导致表型渗透性不一致。但是，通过允许对遗传变异和环境暴露进行更高程度的控制，小鼠模型确实可以避免某些弊端，尽管它们在人类复杂遗传学中的应用并不总是那么简单，但它们确实是补充观察结果的有力手段在人口中。小鼠定量性状基因座作图已证明是一种成功的，但在技术上要求很高的方法来定义性状易感性。在这篇评论中