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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


  1. 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

  2. Genetic mutation  deafness

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

  4. Human “disease phenotype” “ Diseasome ” Human “disease genome”

  5. 1284 disorders 22 disorder classes 1777 disease genes

  6. The Potential of HDN and DGN

  7. The Potential of HDN and DGN

  8. Functional Clustering of HDN and DGN

  9. Disease-associated genes identify distinct Functional Modules

  10. 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?

  11. 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 other proteins

  12. 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?

  13. Centrality and Periphery • Correlation between nonessential genes and “hubs” disappears

  14. Conclusion • This network gives the opportunity to study all human diseases at once • It´s a very elegant way for data- analysis

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