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	Efficient simulation under a population genetics model of carcinogenesis
	Zhu, Tianqi ; Hu, Yucheng ; Ma, Zhi-Ming ; Zhang, De-Xing ; Li, Tiejun ; Yang, Ziheng
	2011
关键词	CHEMICALLY REACTING SYSTEMS EXACT STOCHASTIC SIMULATION COLORECTAL CANCERS WAITING TIME HUMAN BREAST MUTATIONS EVOLUTION DYNAMICS KINETICS
英文摘要	Motivation: Cancer is well known to be the end result of somatic mutations that disrupt normal cell division. The number of such mutations that have to be accumulated in a cell before cancer develops depends on the type of cancer. The waiting time T(m) until the appearance of m mutations in a cell is thus an important quantity in population genetics models of carcinogenesis. Such models are often difficult to analyze theoretically because of the complex interactions of mutation, drift and selection. They are also computationally expensive to simulate because of the large number of cells and the low mutation rate. Results: We develop an efficient algorithm for simulating the waiting time T(m) until m mutations under a population genetics model of cancer development. We use an exact algorithm to simulate evolution of small cell populations and coarse-grained tau-leaping approximation to handle large populations. We compared our hybrid simulation algorithm with the exact algorithm in small populations and with available asymptotic results for large populations. The comparison suggested that our algorithm is accurate and computationally efficient. We used the algorithm to study the waiting time for up to 20 mutations under a Moran model with variable population sizes. Our new algorithm may be useful for studying realistic models of carcinogenesis, which incorporates variable mutation rates and fitness effects. Contact: z.yang@ucl.ac.uk; Biochemical Research Methods; Biotechnology & Applied Microbiology; Computer Science, Interdisciplinary Applications; Mathematical & Computational Biology; Statistics & Probability; SCI(E); PubMed; 4; ARTICLE; 6; 837-843; 27
语种	英语
出处	PubMed ; SCI
出版者	bioinformatics
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/343980]
专题	数学科学学院 生命科学学院
推荐引用方式 GB/T 7714	Zhu, Tianqi,Hu, Yucheng,Ma, Zhi-Ming,et al. Efficient simulation under a population genetics model of carcinogenesis. 2011-01-01.

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