Download The Human Disease Network

Seminar on Complex Systems
The Human Disease Network
K.I. Goh, M. E. Cusick A.-L. Barabási et al.
Cornelius Müller Berlin, 06/05/2015
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Motivation
• Before:
 disease-gene association pairs
 Studies focused on a single disease
• Now:
 Disease-gene-relation at a higher level
 Linking all genetic disorders with all disease
genes
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The Data
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Construction of the Bipartite Network
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Construction of the Bipartite Network
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Construction of the Bipartite Network
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Human Disease Network
67 % of all disorders with
at least one link to others
Giant component:
516 of 1284 disorders (40%)
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Human Disease Network
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Disease Gene Network
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Disease Gene Network
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Functional Clustering
• HDN:
 Average size of giant component: 516 genes;
randomly 643
 812 links between disorders; randomly 107
• DGN:
 Average size of giant component: 903 genes;
randomly 1087
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Functional Modules
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Centrality and Peripherality
Essential genes have high impact in early
development
Nonessential genes do not encode hubs
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Further applications
of bipartite networks
• People that share preferences
• Metabolites that share chemical reactions
• Authors that share papers
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Conclusion
• Bipartite networks enable inductive
networking
• HDN and DGN create additional
understanding about disease biology
• Evaluation of networks can connect with
further data
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Discussion
• Clustering of HDN includes a wide range
• Database of HDN and DGN is not complete
• Many diseases can not be linked to others
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Literature
• Goh, Cusick, Valle, Vidal, Barabasi: The Human
Disease Network, PNAS 2007
• Supporting information text
• http://rocs.hu-berlin.de/
complex_sys_2015/resources/Introduction-toNetworks.pdf
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