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Dr. Gary Churchill
NSG Scientific Advisory Board, Senior Staff Scientist & Head of the Statistical Genetics Group, The Jackson Laboratory, Bar Harbor, ME		    
               
Dr. Churchill received Ph.D. Biostatistics, University of Washington, in 1988 and S.B. Mathematics, Massachusetts Institute of Technology in 1983. His research focuses on two areas of application. First is the genetic mapping of loci associated with complex and quantitative traits and the other is the analysis of data from large scale gene expression assays. These two areas of research hold great promise for discovering the role of genes in determining individual phenotypes. They complement one another and the power of both approaches will be greatly enhanced by the availability of complete genomic sequences. It remains a challenging and open problem to understand how the simultaneous action and interaction of multiple genes determines a complex phenotypic state. Dr. Churchill has been in international leader in the development of statistical and computational tools needed for both the experimental design and interpretation of data resulting from the application of these technologies.
For more information, see: http://www.jax.org/staff/churchill/labsite/.

Relevant publications:
Nengjun Yi, Brian S. Yandell, Gary A. Churchill, David B. Allison, Eugene J. Eisen, and Daniel Pomp (2005) Bayesian Model Selection for Genome-Wide Epistatic Quantitative Trait Loci Analysis. Genetics 170: 1333-1344

Saunak Sen, Jaya M. Satagopan, and Gary A. Churchill (2005) Quantitative Trait Locus Study Design From an Information Perspective. Genetics 170: 447-464.

Renhua Li, Malcolm A. Lyons, Henning Wittenburg, Beverly Paigen, and Gary A. Churchill (2005) Combining Data From Multiple Inbred Line Crosses Improves the Power and Resolution of Quantitative Trait Loci Mapping Genetics 169: 1699-1709.

The Complex Trait Consortium (2004), The Collaborative Cross, a community resource for the genetic analysis of complex traits, Nature Genetics 36, 1133 - 1137.