In Silico Mapping of Complex Disease-Related Traits in Mice

Author:

Grupe Andrew1,Germer Soren2,Usuka Jonathan3,Aud Dee1,Belknap John K.4,Klein Robert F.4,Ahluwalia Mandeep K.2,Higuchi Russell2,Peltz Gary1

Affiliation:

1. Department of Genetics and Genomics, Roche Bioscience, Palo Alto, CA 94303, USA.

2. Roche Molecular Systems, Alameda, CA 94501, USA.

3. Department of Chemistry, Stanford University, Stanford, CA 94305–5080, USA.

4. Oregon Health Sciences University and Portland Veterans Affairs Medical Center, Portland, OR 97201, USA.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference25 articles.

1. Large-scale discovery and genotyping of single-nucleotide polymorphisms in the mouse

2. High-Throughput SNP Allele-Frequency Determination in Pooled DNA Samples by Kinetic PCR

3. Web figure 1 Web tables 1 and 2 and supplemental text are available at Science Online at www.sciencemag.org/cgi/content/full/292/5523/1915/DC1.

4. R. F. Klein et al. J. Bone Miner. Res. in press.

5. JAX Notes 475 (1998).

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