Computational genetics: from mouse to human?
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.
Wang
Jianmei
J
Department of Genetics and Genomics, Roche Palo Alto S3-1, Palo Alto, CA 94304, USA.
Liao
Guochun
G
Usuka
Jonathan
J
Peltz
Gary
G
D000818:Animals; D019295:Computational Biology; D014644:Genetic Variation; D016678:Genome; D015894:Genome, Human; D006239:Haplotypes; D006801:Humans; D051379:Mice; D008957:Models, Genetic; D040641:Quantitative Trait Loci