Systems medicine

Neoplastic disorders are a leading cause of mortality and morbidity worldwide. Studying the relationships between different cancers using high throughput-generated data may elucidate undisclosed aspects of cancer etiology, diagnosis, and treatment.
Several studies have described relationships between different diseases based on genes, proteins, pathways, gene ontology, comorbidity, symptoms, and other features.
In a study, the authors first constructed an integrated human disease network (...)

endophenotypic module
Different diseases often have common underlying mechanisms and shared intermediate pathophenotypes, or endophenotypes.
Within this framework, a specific disease’s expression is a consequence of the interplay between the relevant endophenotypes and their local, organ-based environment. Important examples of such endophenotypes are inflammation, fibrosis, and thrombosis and their essential roles in many developing diseases.
In a study, it has been constructed (...)

Open references
Systems pharmacology and genome medicine: a future perspective.
Wist AD, Berger SI, Iyengar R.
Genome Med. 2009 Jan 22;1(1):11. doi: 10.1186/gm11.
PMID: #19348698# / Free

See aslo
disease module
disease network
diseasomics
cancerome
Open references
Exploring the cellular basis of human disease through a large-scale mapping of deleterious genes to cell types. Cornish AJ, Filippis I, David A, Sternberg MJ. Genome Med. 2015 Sep 1;7(1):95. doi:10.1186/s13073-015-0212-9 . PMID: #26330083# (Free)
The human disease network in terms of dysfunctional regulatory mechanisms. Yang J, Wu SJ, Dai WT, Li YX, Li YY. Biol Direct. 2015 Oct 8;10(1):60. (...)

References
Calzone L, Gelay A, Zinovyev A, Radvanyl F, Barillot E. A comprehensive modular map of molecular interactions in RB/E2F pathway. Mol Syst Biol. 2008;4:173. PMID: #18319725#
Mani KM, Lefebvre C, Wang K, Lim WK, Basso K, Dalla-Favera R, Califano A. A systems biology approach to prediction of oncogenes and molecular perturbation targets in B-cell lymphomas. Mol Syst Biol. 2008;4:169. PMID: #18277385#
Cui Q, Ma Y, Jaramillo M, Bari H, Awan A, Yang S, Zhang S, Liu L, Lu M, (...)

A network of interactions is called modular if it is subdivided into relatively autonomous, internally highly connected components. Modularity has emerged as a rallying point for research in developmental and evolutionary biology (and specifically evo-devo), as well as in molecular systems biology.
Types
functional modularity
disease modularity
oncogenic modularity (tumoral modularity )
See also
disease module
Reviews
Oti M, Brunner HG. The modular nature of genetic (...)

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