disease network Kwang-Il Goh, Michael E. Cusick, David Valle, - - PowerPoint PPT Presentation

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disease network Kwang-Il Goh, Michael E. Cusick, David Valle, - - PowerPoint PPT Presentation

The human disease network Kwang-Il Goh, Michael E. Cusick, David Valle, Barton Childs, Marc Vidal, and Albert-La szlo Baraba si A presentation by Niklaas Nilson Genetic mutation deafness locus heterogeneity allelic heterogeneity


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The human disease network

Kwang-Il Goh, Michael E. Cusick¶, David Valle, Barton Childs, Marc Vidal, and Albert-La´ szlo´ Baraba´ si A presentation by Niklaas Nilson

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Genetic mutation  deafness

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locus heterogeneity allelic heterogeneity different mutations same mutation same disorder different disorders

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Human “disease phenotype” Human “disease genome” “Diseasome”

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1284 disorders 1777 disease genes 22 disorder classes

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The Potential of HDN and DGN

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The Potential of HDN and DGN

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Functional Clustering of HDN and DGN

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Disease-associated genes identify distinct Functional Modules

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Centrality and Periphery

  • In S. Cereviseae highly

connected Proteins (“hubs”) are more likely encoded by essential genes

  • Does human disease genes

also have the tendency to encode hubs?

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Centrality and Periphery

  • First analysis say yes
  • Disease related proteins have a

32% larger number of interactions to other Proteins than nondisease Proteins

  • And high-degree-proteins are

more likely encoded by genes associated with diseases than

  • ther proteins
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Centrality and Periphery

  • Essential proteins show a

tendency to be associated with “hubs” (c)

  • Question: is the correlation

between “hubs” and disease genes driven by the fact that a small number ob these genes is essential?

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SLIDE 14

Centrality and Periphery

  • Correlation between

nonessential genes and “hubs” disappears

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Conclusion

  • This network gives the
  • pportunity to study all human

diseases at once

  • It´s a very elegant way for data-

analysis

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