Designing a Simulation Model to Examine The Genetic Impact of Inbreeding In a Sudanese Population

It’s well-known how widely spread consanguineous marriages are in Sudan. This type of marriage has significant effects on the population in terms of genetic diseases. So many researchers explored the linkage of consanguineous marriages with the occurrence of genetic and rare genetic diseases.This paper uses Sudanese data which was provided by the Institute of Endemic Diseases, University Of Khartoum. Python was found to be the most suitable programming language to conduct the simulation. Simulating inbreeding using both a random parent chooser and a customized parent chooser scheme has been applied using the python package named Simupop. The authors then produced a plot to foresee the inbreeding’s impact on the effective population size. The heterozygosity frequency showed an obvious decrease. This decrease, of course, shows itself in the form of congenital anomalies, such as genetic diseases, birth defects, and sometimes neonatal and fetus deaths. Thus, it was evident the effects of inbreeding on the effective population size.