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新兴的合作杂交群体中复杂性状的遗传分析。

Genetic analysis of complex traits in the emerging Collaborative Cross.

机构信息

Department of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina 27599, USA.

出版信息

Genome Res. 2011 Aug;21(8):1213-22. doi: 10.1101/gr.111310.110. Epub 2011 Mar 15.

Abstract

The Collaborative Cross (CC) is a mouse recombinant inbred strain panel that is being developed as a resource for mammalian systems genetics. Here we describe an experiment that uses partially inbred CC lines to evaluate the genetic properties and utility of this emerging resource. Genome-wide analysis of the incipient strains reveals high genetic diversity, balanced allele frequencies, and dense, evenly distributed recombination sites-all ideal qualities for a systems genetics resource. We map discrete, complex, and biomolecular traits and contrast two quantitative trait locus (QTL) mapping approaches. Analysis based on inferred haplotypes improves power, reduces false discovery, and provides information to identify and prioritize candidate genes that is unique to multifounder crosses like the CC. The number of expression QTLs discovered here exceeds all previous efforts at eQTL mapping in mice, and we map local eQTL at 1-Mb resolution. We demonstrate that the genetic diversity of the CC, which derives from random mixing of eight founder strains, results in high phenotypic diversity and enhances our ability to map causative loci underlying complex disease-related traits.

摘要

协作交叉 (CC) 是一种正在开发中的用于哺乳动物系统遗传学的小鼠重组近交系品系。在这里,我们描述了一个使用部分近交 CC 系的实验,以评估这一新兴资源的遗传特性和实用性。对初生系的全基因组分析显示出高度的遗传多样性、平衡的等位基因频率和密集、均匀分布的重组位点——所有这些都是系统遗传学资源的理想特性。我们映射离散的、复杂的和生物分子特征,并对比两种数量性状基因座 (QTL) 映射方法。基于推断的单倍型的分析提高了功效,减少了假阳性发现,并提供了独特的信息,用于识别和优先考虑候选基因,这是像 CC 这样的多创始者交叉的特有信息。这里发现的表达 QTL 的数量超过了以前在小鼠中进行的所有 eQTL 映射工作,并且我们以 1-Mb 的分辨率映射局部 eQTL。我们证明,CC 的遗传多样性源自八个创始品系的随机混合,导致了高表型多样性,并增强了我们对映射复杂疾病相关特征的因果基因座的能力。

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