Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.
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 curating the 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.
From a comprehensive search of the MeSH annotation of MEDLINE articles, NIH Genetic Association Database (GAD) and OMIM
database, genetic and environmental etiological factors associated with physical performance were identified. Clustering of both
genetic and environmental 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 degree of
associations was determined by pooling the published data and the network of â??etiomeâ? was constructed by Gephi. A 22 by 22 genegene
interaction showed ACE gene with the highest centrality. Also 600 cells gene-disease matrix were illustrated including the degree
of associations and 95% CIs. The diseasome 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 linked factors. Diabetes
and ACE gene polymorphism should take a paramount attention in this regard.