Computational genetics: from mouse to human?

被引：45
|
作者：
Wang, JM [1 ]
Liao, GC [1 ]
Usuka, J [1 ]
Peltz, G [1 ]
机构：
[1] Roche Palo Alto S3 1, Dept Genet & Genom, Palo Alto, CA 94304 USA
来源：
TRENDS IN GENETICS | 2005年 / 21卷 / 09期
关键词：
D O I：
10.1016/j.tig.2005.06.010
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
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.
引用
收藏
页码：526 / 532
页数：7
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