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Computational tools can markedly accelerate the rate at whichmurine genetic models can be analyzed. We developed a computationalmethod for mapping phenotypic traits that vary among inbredstrains onto haplotypic blocks. This method correctly predictedthe genetic basis for strain-specific differences in severalbiologically important traits. It was also used to identifyan allele-specific functional genomic element regulating H2-Egene expression. This functional element, which contained thebinding sites for YY1 and a second transcription factor thatis probably serum response factor, is located within the firstintron of the H2-E gene. This computational method will greatlyimprove our ability to identify the genetic basis for a varietyof phenotypic traits, ranging from qualitative trait informationto quantitative gene expression data, which vary among inbredmouse strains.
1 Department of Genetics and Genomics, Roche Palo Alto, 3431 Hillview Avenue, Palo Alto, CA 943041397, USA. 2 Department of Anesthesia, Stanford University Medical Center, Stanford, CA 94305, USA. 3 Centre National de Génotypage, 2 rue Gaston Crémieux, CP 5721, 91057 Evry Cedex, France. 4 Department of Genetics and Genome Sequencing Center, Washington University School of Medicine, St. Louis, MO 63108, USA. 5 Roche Center for Medical Genomics F. HoffmannLa Roche, RCMG, Bau 93/4.26, CH-4070 Basel, Switzerland.
* These authors contributed equally to this work.
To whom correspondence should be addressed. E-mail: gary.peltz{at}roche.com
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