Gene Networks and Gene Clustering : Recent Advancements
Current state of art:
Now lets discuss few ideas on how we will construct gene networks.
Considering people as nodes the degree of similarity between the genes will determine the edge construction between nodes.
It has been found that there will be clusters of people together based on community and regions and we can analyze the inter-community relationships. We can guess/determine the origin of a particular community by these relationships. Apart from this we can find traits that are common like certain regions average height is bigger than other regions. Analyzing these patterns and relationships can reveal some interesting results.
Recent Advances have made Gene Clustering More Practical:
2) One argument for quick action is that the amount of genome data is exploding. The largest labs can now sequence human genomes to a high polish at the pace of two per hour.(The first genome took about 13 years)
3) The cost of genome sequencing has gone down from order of billion dollars to few thousand dollars, see the graph below :
Few more implications / Proposed applications of gene networks :
Human disease network (HDN).
In the HDN, each node corresponds to a distinct disorder, colored based on the disorder class to which it belongs, the name of the 22 disorder classes being shown on the right. A link between disorders in the same disorder class is colored with the corresponding dimmer color and links connecting different disorder classes are gray. The size of each node is proportional to the number of genes participating in the corresponding disorder (see key), and the link thickness is proportional to the number of genes shared by the disorders it connects. We indicate the name of disorders with 10 associated genes.
Disease gene network (DGN).
In the DGN, each node is a gene, with two genes being connected if they are implicated in the same disorder. The size of each node is proportional to the number of disorders in which the gene is implicated. Nodes representing genes with links to multiple classes are colored dark grey, whereas unclassified genes are colored light grey. Only nodes with at least one link are shown.