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Biography

Mohammad Reza Hashempour has completed his doctorate at the age of 25 years from AJA university of medical science and postdoctoral studies in Golestan university school of medicine, surgery department .He has published papers in intenal(iranian) journals and have interest for qualitative and quantitative research.

Abstract

Background: Both genetic and environmental factors contribute to human diseases. Most common diseases are influenced by a large number of genetic and environmental factors, most of which individually have only a modest effect on the disease. Though genetic contributions are relatively well characterized for some monogenetic diseases, there has been no effort at curatingthe extensive list of environmental etiological factors. However, considering the interaction between the factors, a network of association and clustering would explain the influencing factors on health and disease. In this study we evaluated association of factors on physical performance. Method: From a comprehensive search of the MeSH annotation of MEDLINE articles, NIH Genetic Association Database (GAD) and OMIM database, genetic andenvironmental etiological factors associated with physical performance were identified. Clustering of both genetic and environmental etiological factorsputs genes in the context of environment in a quantitative manner. After extraction of genetic factors, associated diseases with those genes were searched. Finally a matrix of association was formed. The degree of associations were determined by pooling the published data and the network of "etiome" was constructed by Gephi software. Result:A 22 by 22 gene-gene interaction showed ACE gene with the highest centrality. Also a 600 cells gene-disease matrix were illustrated including the degree of associations and 95% CIs. The diseasome of physical performance demonstrted interesting clusters of diseases and risk factors with an average degree of 7.4 and average clustering coeeficient of 0.60(figure 1). The network principally included two main clusters around diabetes and neoplastic diseases, while diabetes had the highest strength and centrality. Conclusion: The diseasome helps a better understanding of genetic and environmental factors attributed to physical performance in order to find effective treatments for linked factors. Diabetes and ACE gene polymorphism should take a paramount attention in this regard.