计算遗传学：从小鼠到人类？

Computational genetics: from mouse to human?

作者信息

Wang Jianmei, Liao Guochun, Usuka Jonathan, Peltz Gary

机构信息

Department of Genetics and Genomics, Roche Palo Alto S3-1, Palo Alto, CA 94304, USA.

出版信息

Trends Genet. 2005 Sep;21(9):526-32. doi: 10.1016/j.tig.2005.06.010.

DOI:10.1016/j.tig.2005.06.010

PMID:16009447

Abstract

In this article, we describe a novel computational-analysis method that rapidly identified the genetic basis for several trait differences among inbred mouse strains. This approach enables researchers to identify a causative genetic factor by correlating a pattern of observable physiological or pathological differences among selected inbred strains with a pattern of genetic variation. Compared with conventional methods used for mouse genetic analysis, which require many years to produce results, this haplotype-based computational analysis can be rapidly performed. We discuss the factors affecting the performance and precision of this computational method. Although it currently can analyze traits of limited genetic complexity in mouse, the potential application of this genetic-analysis method to other experimental organisms, and possibly humans, is evaluated.

摘要

在本文中，我们描述了一种新颖的计算分析方法，该方法能快速确定近交系小鼠品系间几种性状差异的遗传基础。这种方法使研究人员能够通过将选定近交系间可观察到的生理或病理差异模式与遗传变异模式相关联，来确定致病遗传因素。与用于小鼠遗传分析的传统方法相比，传统方法需要多年才能得出结果，而这种基于单倍型的计算分析可以快速进行。我们讨论了影响这种计算方法性能和精度的因素。尽管它目前只能分析小鼠中遗传复杂性有限的性状，但我们评估了这种遗传分析方法在其他实验生物甚至可能在人类中的潜在应用。