Identification of quantitative trait nucleotides that regulate cancer growth: A simulation approach
Identification of quantitative trait nucleotides that regulate cancer growth: A simulation approach
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DOI：
10.1016/j.jtbi.2006.03.010
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发表时间：
2006-09-21
影响因子：
2
通讯作者：
Wu, Rongling
中科院分区：
文献类型：
--
作者：
Li, Hongying;Kim, Bong-Rae;Wu, Rongling
从基本细胞特性导出的一般生长模型可用于通过数学方程描述癌症生长的动态过程。人们已经认识到癌症的生长受到遗传控制，大量相互作用的基因各自以孟德尔方式分离并表现出环境敏感性。在本文中，我们将普遍生长模型的数学方面整合到统计框架中，以识别癌症生长背后的数量性状核苷酸。该综合框架是通过基于单核苷酸多态性的单元型阻断分析构建的。已经进行了模拟研究来证明该模型的有用性。所提出的模型提供了一个通用平台模型，用于测试和检测特定 DNA 序列变体，调节癌症出现、生长和分化的时间。 (c) 2006 Elsevier Ltd. 保留所有权利。
A general growth model derived from basic cellular properties can be used to describe the dynamic process of cancer growth with mathematical equations. It has been recognized that cancer growth is under genetic control, with a multitude of interacting genes each segregating in a Mendelian fashion and displaying environmental sensitivity. In this article, we integrate the mathematical aspects of the pervasive growth model into a statistical framework for the identification of quantitative trait nucleotides that underlie cancer growth. This integrative framework is constructed with a single nucleotide polymorphism-based haplotype blocking analysis. Simulation studies have been performed to demonstrate the usefulness of the model. The proposed model provides a generic platform model for testing and detecting specific DNA sequence variants that regulates the timing of cancer emergence, growth and differentiation. (c) 2006 Elsevier Ltd. All rights reserved.