Abstract
Consanguinity or inter-cousin marriage is a phenomenon quite prevalent in certain regions around the globe. Consanguineous parents have a higher risk of having offspring with congenital disorders. It is difficult to model large scale consanguineous parental populations because of disparate cultural issues unique to regions and cultures across the globe. Although consanguinity has previously been studied as a social problem, it has not been modeled from a biological perspective. Discrete event system specification (DEVS) is a powerful modeling formalism for the study of intricate details of real-world complex systems. In this paper, we have developed a DEVS model to get an insight into the role of consanguineous marriages in the evolution of congenital disorders in a population. As proof-of-concept, we further developed a consanguinity simulation model in Simio simulation software. Simulation results validated using population growth data show the effectiveness of this approach in the modeling of consanguinity in populations.
Original language | English |
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Pages (from-to) | 103-112 |
Number of pages | 10 |
Journal | Journal of Theoretical Biology |
Volume | 285 |
Issue number | 1 |
DOIs | |
Publication status | Published - Sept 21 2011 |
Externally published | Yes |
Keywords
- Complex systems
- Congenital disorder
- Consanguineous marriages
- DEVS formalism
- Simulation
ASJC Scopus subject areas
- Statistics and Probability
- Modelling and Simulation
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Agricultural and Biological Sciences(all)
- Applied Mathematics