epidemiology-2016_posters-accepted-abstracts

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Volume 6, Issue 5(Suppl) Epidemiology (Sunnyvale)
ISSN: 2161-1165 ECR, Open Access
Page 92
Notes:
Epidemiology 2016
October 3-5, 2016
conferenceseries.com
Epidemiology & Public HealthOctober 3-5, 2016|London, UK
4th International Conference on
EPIDEMIOLOGIC PATTERNAND DISEASOME EXPLORATION FOR PHYSICAL
PERFORMANCE: ANEWHORIZON FOR GENETICAND ENVIRONMENTALCROSS-TALK
IN HEALTHAND DISEASE
M.R. Hashempoura,b, A.R. Khoshdela, K. Majidzadeha and M.S. Baniaghilc
aAJA University of Medical Sciences, Iran
bGolestan University of Medical Sciences, Iran
cShahid Beheshti University of Medical Sciences, Iran
Both genetic and environmental factors contribute to human diseases. Though genetic contributions are relatively well
characterized for some monogenetic diseases, there has been no effort at curating the extensive list of environmental
etiological factors. However, considering the interaction between the factors, a network of associates and clustering would
explain the influencing factors on health and disease. In this study, we evaluated the association of factors on physical
performance. From a comprehensive search of the MeSH annotation of MEDLINE articles, etiological factors associated with
physical performance were identified. Clustering of etiological factors puts 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 degrees of associations were determined by pooling the published data and the network of “etiome” was
constructed by Gephi. A 22 by 22 gene-gene interaction showed ACE gene with the highest centrality. Also 600 cells, gene-
disease matrixes were illustrated, including the degree of associations and 95% CIs. The disease of physical performance
demonstrated interesting clusters of diseases and risk factors with an average degree of 7.4 and average clustering coefficient
of 0.60. The network principally included two main clusters around diabetes and neoplastic diseases, while diabetes had the
highest strength and centrality. The diseasome helps a better understanding of genetic and environmental factors attributed to
physical performance in order to find effective treatments for linking factors. Diabetes and ACE gene polymorphism should
take a paramount attention in this regard.
Biography
Mohammad Reza Hashempour has completed his Doctorate at the age of 25 years fromAJAUniversity of medical sciences and postdoctoral studies from Golestan
University School of Medicine. He has published papers in internal (Iranian) journals and has interest for evidence based and analytical research.
M.R. Hashempour et al., Epidemiology (Sunnyvale), 6:5(Suppl)