Abstract
Diagnostic power needs to be matched to prognostic accuracy. To accomplish this, we need robust animal models that incorporate the same level of genetic and genomic variation as highly diverse human populations. A key goal of biomedical research is to provide clinicians with sufficient knowledge to predict disease risk and choose effective treatment. We are on the cusp of having complete genome data for each patient. However, our current understanding of complex biological systems and individual differences does not allow us to predict effects of novel interventions and drugs. Animal models provide precise genetic and experimental control, and they also provide a route to more rapid discovery and validation of disease prevention and treatment. But the successful application of experimental results to diverse humans requires that models accurately represent both the underlying disease process and the impact of human genetic variation on treatment and outcome.
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Selected References
Brenner S. Nature’s gift to science. Nobel Lecture 2002; pp. 274–282. (http://www.nobel.se/medicine/laureates/2002/brenner-lecture.pdf). Accessed Jan. 14, 2006.
Chesler EJ, Wang J, Williams RW, Manly KF. Web QTL: Rapid exploratory analysis of gene expression and genetic networks for brain and behavior. Nat Neurosci 2004; 7:485–86.
Crick F, Koch C. The unconscious homunculus. In: Metzinger T, ed. The Neuronal Correlates of Consciousness. Cambridge, MA: MIT Press, 2000; pp. 103–110.
deCODE Genetics. Reykjavik, Iceland (http://www.decodegenetics.com). Accessed May 11,2005.
Gudrais E. Chimpanzees and the law. Harv Mag 2003; 105: 21, 22.
Kuperwasser C, Chavarria T, Wu M, et al. Reconstruction of functionally normal and malignant human breast tissues in mice. Proc Natl Acad Sci USA 2004; 101: 4966–4971.
Leaf C. Why we’re losing the war on cancer. Fortune 2004; 149: 76–97.
Little CC. The role of heredity in determining the incidence and growth of cancer. Am J Cancer 1931; 15: 2780–2789.
Lusis AJ, West D, Davis C. Animal models of complex genetic disease. In: King RA, Rotter JI, Motulsky AG, eds. The Genetic Basis of Common Disease, 2nd ed. New York: Oxford University Press, 2002; pp. 65–86.
Nagy A, Gertsenstein M, Vintersten K, Behringer R. Manipulating the Mouse Embryo: A Laboratory Manual, 3rd ed. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press, 2003.
Pauling L, Itano HA. Sickle cell anemia: a molecular disease. Science 1949; 110: 543–548.
Quiring R, Walldorf U, Kloter U, Gerhing WJ. Homology of the eyeless gene in Drosophila to the small eye gene in mice and anirdia in humans. Science 1994; 2655: 785–789.
Rader K. The mouse’s tale: standardized animals in the culture and practice of technoscience. Cabinet Mag 2001;http://www.cabinet magazine.org/issues/4/themousestale.php). Accessed Jan. 14, 2006.
Ryan TM, Townes TM, Reilly MP, et al. Human sickle hemoglobin in transgenic mice. Science 1990; 247: 566–568.
Silver LM. Mouse Genetics. Concepts and Applications. New York: Oxford University Press, 1995.
Threadgill DW, Hunter KW, Williams RW. Genetic dissection of complex and quantitative traits: from fantasy to reality via a community effort. Mamm Genome 2002; 13: 175–178.
Vogel G. Scientists dream of 1001 complex mice. Science 2003; 301: 456, 457.
Williams RJ. Biochemical Individuality. New York: John Wiley & Sons, 1998.
Zerhouni E. The NIH roadmap. Science 2003; 302: 63.
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Williams, R.W. (2006). Animal Models in Biomedical Research. In: Runge, M.S., Patterson, C. (eds) Principles of Molecular Medicine. Humana Press. https://doi.org/10.1007/978-1-59259-963-9_8
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DOI: https://doi.org/10.1007/978-1-59259-963-9_8
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