A statistical model for the identification of genes governing the incidence of cancer with age |
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| Authors: | Kiranmoy Das Rongling Wu |
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| Institution: | (1) Department of Statistics, University of Florida, 32611 Gainesville> , FL, USA;(2) UF Genetics Institute, University of Florida, 32611 Gainesville, FL, USA;(3) Department of Operation Research and Financial Engineering, Princeton University, 08544 Princeton, NJ, USA |
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| Abstract: | The cancer incidence increases with age. This epidemiological pattern of cancer incidence can be attributed to molecular and
cellular processes of individual subjects. Also, the incidence of cancer with ages can be controlled by genes. Here we present
a dynamic statistical model for explaining the epidemiological pattern of cancer incidence based on individual genes that
regulate cancer formation and progression. We incorporate the mathematical equations of age-specific cancer incidence into
a framework for functional mapping aimed at identifying quantitative trait loci (QTLs) for dynamic changes of a complex trait.
The mathematical parameters that specify differences in the curve of cancer incidence among QTL genotypes are estimated within
the context of maximum likelihood. The model provides testable quantitative hypotheses about the initiation and duration of
genetic expression for QTLs involved in cancer progression. Computer simulation was used to examine the statistical behavior
of the model. The model can be used as a tool for explaining the epidemiological pattern of cancer incidence. |
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