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In Silico Mapping of Complex Disease-Related Traits in Mice
Andrew Grupe,1*Soren Germer,2*Jonathan Usuka,3*Dee Aud,1John K. Belknap,4Robert F. Klein,4Mandeep K. Ahluwalia,2Russell Higuchi,2Gary Peltz1
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 manymonths down to
milliseconds, a computational method for predictingchromosomal regions
regulating phenotypic traits and a murinedatabase of single nucleotide
polymorphisms were developed. Afterentry of phenotypic information
obtained from inbred mouse strains,the phenotypic and genotypic
information is analyzed in silicoto predict the chromosomal regions
regulating the phenotypic trait.
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.
*
These authors contributed equally to this work.
To whom correspondence should be addressed:
gary.peltz{at}roche.com
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