Tanzania
Research Article
Modeling Host-Cancer Genetic Interactions with Multilocus Sequence Data
Author(s): Yao Li and Rongling WuYao Li and Rongling Wu
Cancer susceptibility may be controlled not only by host genes and mutated genes in cancer cells, but also by the epistatic interactions between genes from the host and cancer genomes. We derive a novel statistical model for cancer gene identification by integrating the gene mutation hypothesis of cancer formation into the mixturemodel framework. Within this framework, genetic interactions of DNA sequences (or haplotypes) between host and cancer genes responsible for cancer risk are defined in terms of quantitative genetic principle. Our model was founded on a commonly used genetic association design in which a random sample of patients is drawn from a natural human population. Each patient is typed for single nucleotide polymorphisms (SNPs) on normal and cancer cells and measured for cancer susceptibility. The model is formulated within the maximum likeli.. Read More»
DOI:
10.4172/jcsb.1000015
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report