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IJE Advance Access originally published online on August 19, 2004
International Journal of Epidemiology 2004 33(6):1179-1181; doi:10.1093/ije/dyh222
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IJE vol.33 no.6 © International Epidemiological Association 2004; all rights reserved.

Commentary

Commentary: Mathematical models of cancer progression and epidemiology in the age of high throughput genomics

Steven A Frank

Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697-2525 USA. E-mail: safrank@uci.edu

The first 150 words of the full text of this article appear below.

The major principles of genetics and evolution were developed before the structure of DNA was discovered in 1953. Darwin got pretty much everything right about evolution, despite his mistaken views on genetics. After the rediscovery of Mendel's theory, Fisher, Wright, and Haldane worked out the mathematical principles of mutation, selection, and evolutionary genetics during the first half of the 20th century. The spectacular accomplishments of modern molecular biology have greatly enriched understanding of genetics and evolution. However, the foundational principles of evolution and adaptation from the pre-molecular era remain the guidelines by which we interpret why biology appears as it does.

Perhaps Armitage and Doll's1 paper marks the same sort of divide in cancer research. Their paper laid out foundational principles of cancer progression and epidemiology in mathematical form long before we knew about the molecular basis of somatic mutation and the key roles of genes such as p53 and . . . [Full Text of this Article]


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