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Maksim Kitsak1,2, Amitabh Sharma1,2,3, Jörg Menche1,2,4,5

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Area of Science:

  • Genomics
  • Systems Biology
  • Network Medicine

Background:

  • Genetic diseases display tissue-specific symptoms despite disease genes being present in all cells.
  • Tissue-specific gene expression alone does not fully explain disease manifestation.
  • Existing models lack a comprehensive understanding of disease tissue specificity.

Purpose of the Study:

  • To investigate the role of gene network structure in determining tissue-specific disease manifestation.
  • To test the hypothesis that functional gene subnetworks (disease modules) drive tissue specificity.
  • To develop a predictive model for disease-tissue associations.

Main Methods:

  • Systematic analysis of gene expression patterns within the human interactome.
  • Mapping disease genes to network neighborhoods based on tissue expression.
  • Evaluating the integrity and completeness of expressed disease modules.

Main Results:

  • Genes expressed in specific tissues cluster in distinct neighborhoods of the human interactome.
  • Disease manifestation in a tissue correlates with the expression of a complete functional disease module.
  • A novel disease-tissue network was constructed, confirming known and predicting novel associations.

Conclusions:

  • Tissue-specific disease manifestation is determined by the expression of complete functional gene subnetworks (disease modules).
  • Network-based analysis provides a powerful framework for understanding and predicting disease-tissue relationships.
  • This approach enhances our ability to identify tissue-specific therapeutic targets for genetic diseases.