In silico mapping of complex disease-related traits in mice

被引：222

作者：

Grupe, A

Germer, S

Usuka, J

Aud, D

Belknap, JK

Klein, RF

Ahluwalia, MK

Higuchi, R

Peltz, G ^{[1
]}

机构：

[1] Roche Biosci, Dept Genet & Genome, Palo Alto, CA 94303 USA

[2] Roche Mol Syst, Alameda, CA 94501 USA

[3] Stanford Univ, Dept Chem, Stanford, CA 94305 USA

[4] Oregon Hlth Sci Univ, Portland, OR 97201 USA

[5] Portland Vet Affairs Med Ctr, Portland, OR 97201 USA

来源：

SCIENCE | 2001年 / 292卷 / 5523期

关键词：

D O I：

10.1126/science.1058889

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Experimental murine genetic models of complex human disease show great potential for understanding human disease pathogenesis. To reduce the time required for analysis of such models from many months down to milliseconds, a computational method for predicting chromosomal regions regulating phenotypic traits and a murine database of single nucleotide polymorphisms were developed. After entry of phenotypic information obtained from inbred mouse strains, the phenotypic and genotypic information is analyzed in silico to predict the chromosomal regions regulating the phenotypic trait.

引用

页码：1915 / 1918

页数：4

共 22 条

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