Anne Puech

Publications (2)31.2 Total impact

• Chapter: Haplotype Structure of the Mouse Genome

  Jianmei Wang, Guochun Liao, Janet Cheng, Anh Nguyen, Jingshu Guo, Christopher Chou, Steven Hu, Sharon Jiang, John Allard, Steve Shafer, Anne Puech, John D. McPherson, Dorothee Foernzler, Gary Peltz, Jonathan Usuka
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  ABSTRACT: Commonly available inbred mouse strains can be used to genetically model traits that vary in the human population, including those associated with disease susceptibility. In order to understand how genetic differences regulate trait variation in humans, we must first develop a detailed understanding of how genetic variation in the mouse produces the phenotypic differences among inbred mouse strains. The information obtained from analysis of experimental murine genetic models can direct biological experimentation, clinical research, and human genetic analysis. This “mouse to man” approach will increase our knowledge of the genes and pathways regulating important biological processes and disease susceptibility.
  12/2004: pages 71-83;
• Article: In silico genetics: identification of a functional element regulating H2-Ealpha gene expression.

  Guochun Liao, Jianmei Wang, Jingshu Guo, John Allard, Janet Cheng, Anh Ng, Steve Shafer, Anne Puech, John D McPherson, Dorothee Foernzler, Gary Peltz, Jonathan Usuka
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  ABSTRACT: Computational tools can markedly accelerate the rate at which murine genetic models can be analyzed. We developed a computational method for mapping phenotypic traits that vary among inbred strains onto haplotypic blocks. This method correctly predicted the genetic basis for strain-specific differences in several biologically important traits. It was also used to identify an allele-specific functional genomic element regulating H2-Ealpha gene expression. This functional element, which contained the binding sites for YY1 and a second transcription factor that is probably serum response factor, is located within the first intron of the H2-Ealpha gene. This computational method will greatly improve our ability to identify the genetic basis for a variety of phenotypic traits, ranging from qualitative trait information to quantitative gene expression data, which vary among inbred mouse strains.
  Science 11/2004; 306(5696):690-5. · 31.20 Impact Factor