Document Type
Article
Publication Date
2010
College/Unit
Eberly College of Arts and Sciences
Department/Program/Center
Statistics
Abstract
Background
Aneuploidy has long been recognized to be associated with cancer. A growing body of evidence suggests that tumorigenesis, the formation of new tumors, can be attributed to some extent to errors occurring at the mitotic checkpoint, a major cell cycle control mechanism that acts to prevent chromosome missegregation. However, so far no statistical model has been available quantify the role aneuploidy plays in determining cancer.
Methods
We develop a statistical model for testing the association between aneuploidy loci and cancer risk in a genome-wide association study. The model incorporates quantitative genetic principles into a mixture-model framework in which various genetic effects, including additive, dominant, imprinting, and their interactions, are estimated by implementing the EM algorithm.
Results
Under the new model, a series of hypotheses tests are formulated to explain the pattern of the genetic control of cancer through aneuploid loci. Simulation studies were performed to investigate the statistical behavior of the model.
Conclusions
The model will provide a tool for estimating the effects of genetic loci on aneuploidy abnormality in genome-wide studies of cancer cells.
Digital Commons Citation
Li, Yao; Berg, Arthur; Wu, Louie R.; Wang, Zhong; Chen, Gang; and Wu, Rongling, "Modeling the Aneuploidy Control of Cancer" (2010). Faculty & Staff Scholarship. 2809.
https://researchrepository.wvu.edu/faculty_publications/2809
Source Citation
Li, Y., Berg, A., Wu, L.R. et al. Modeling the Aneuploidy Control of Cancer. BMC Cancer 10, 346 (2010). https://doi.org/10.1186/1471-2407-10-346
Comments
© 2010 Li et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.