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Contribution of functional genomics to the fine mapping of QTL. [French]Original Title Apports de la genomique fonctionnelle a la cartographie fine de QTL.

机译:功能基因组学对QTL精细定位的贡献。 [英语]功能基因组学对QTL精细定位的贡献。

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摘要

Much progress has been made in recent years in the genomics field. The development of technologies-based on miniaturized arrays makes it possible to explore genomes at both structural and functional levels. DNA microarrays allow to genotype several thousands of SNP in a genome, or measure the expression level of several thousands of genes in a tissue. Strategies combining genotypic information with elementary phenotypes (mRNA, proteins or metabolites) open new perspectives in biology research and are grouped under the new concept of "genetical genomics". We will focus here on the contributions of the "genetical genomics" in the context of QTL detection. Firstly, after defining the concept of expression QTL (eQTL), this article reports the main results on expression QTL mapping reported in the literature. Then, the different methods using expression data to refine or functionally characterize a QTL region are presented and illustrated through some examples on model and livestock species.
机译:近年来,在基因组学领域已经取得了很大的进步。基于小型阵列的技术的发展使得有可能在结构和功能水平上探索基因组。 DNA微阵列可对基因组中的数千个SNP进行基因分型,或测量组织中数千个基因的表达水平。将基因型信息与基本表型(mRNA,蛋白质或代谢物)相结合的策略为生物学研究开辟了新的视角,并归入“遗传基因组学”这一新概念之下。在这里,我们将集中讨论QTL检测中“基因组学”的贡献。首先,在定义了表达QTL(eQTL)概念之后,本文报告了文献中报道的表达QTL映射的主要结果。然后,通过模型和牲畜物种的一些示例,介绍和说明了使用表达数据来精炼或功能性描述QTL区域的不同方法。

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