Literature DB >> 22825316

Network medicine: linking disorders.

Rosario M Piro1.   

Abstract

The molecular events underlying many human hereditary disorders remain to be discovered despite the significant advances made in molecular biology and genetics in the past years. Given the complexity of cellular systems and the interplay between different functional modules, it is becoming increasingly evident that profound insights into human disease cannot be derived by analyzing single genetic defects. The generation of different types of disease interaction networks has recently emerged as a unifying approach that holds the promise of shedding some light on common pathological mechanisms by placing the single disorders into a larger context. In this review, I summarize the rationale behind these disease networks and different ways of constructing them. Finally, I highlight some of the first results that have been obtained by systematically analyzing the intertwined relationships between human disorders because they suggest that the current disease classification does not always sufficiently reflect biologically and medically relevant disease relationships.

Entities:  

Mesh:

Year:  2012        PMID: 22825316     DOI: 10.1007/s00439-012-1206-y

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  68 in total

Review 1.  Network biology: understanding the cell's functional organization.

Authors:  Albert-László Barabási; Zoltán N Oltvai
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

Review 2.  Variability and robustness in biomolecular systems.

Authors:  Naama Barkai; Ben-Zion Shilo
Journal:  Mol Cell       Date:  2007-12-14       Impact factor: 17.970

3.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

Review 4.  Molecular networks as sensors and drivers of common human diseases.

Authors:  Eric E Schadt
Journal:  Nature       Date:  2009-09-10       Impact factor: 49.962

5.  What exactly are genomes, genotypes and phenotypes? And what about phenomes?

Authors:  M Mahner; M Kary
Journal:  J Theor Biol       Date:  1997-05-07       Impact factor: 2.691

6.  The polythetic (phenotypic community) system of classifying human malformation syndromes.

Authors:  L Pinsky
Journal:  Birth Defects Orig Artic Ser       Date:  1977

7.  Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets.

Authors:  Silpa Suthram; Joel T Dudley; Annie P Chiang; Rong Chen; Trevor J Hastie; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2010-02-05       Impact factor: 4.475

8.  "Guilt by association" is the exception rather than the rule in gene networks.

Authors:  Jesse Gillis; Paul Pavlidis
Journal:  PLoS Comput Biol       Date:  2012-03-29       Impact factor: 4.475

9.  Bridging the gap between systems biology and medicine.

Authors:  Gilles Clermont; Charles Auffray; Yves Moreau; David M Rocke; Daniel Dalevi; Devdatt Dubhashi; Dana R Marshall; Peter Raasch; Frank Dehne; Paolo Provero; Jesper Tegner; Bruce J Aronow; Michael A Langston; Mikael Benson
Journal:  Genome Med       Date:  2009-09-29       Impact factor: 11.117

10.  Evolution of complex modular biological networks.

Authors:  Arend Hintze; Christoph Adami
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

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  12 in total

Review 1.  A network perspective on unraveling the role of TRP channels in biology and disease.

Authors:  Jung Nyeo Chun; Jin Muk Lim; Young Kang; Eung Hee Kim; Young-Cheul Shin; Hong-Gee Kim; Dayk Jang; Dongseop Kwon; Soo-Yong Shin; Insuk So; Ju-Hong Jeon
Journal:  Pflugers Arch       Date:  2013-05-16       Impact factor: 3.657

Review 2.  In silico methods for drug repurposing and pharmacology.

Authors:  Rachel A Hodos; Brian A Kidd; Khader Shameer; Ben P Readhead; Joel T Dudley
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-04-15

Review 3.  Contexts and contradictions: a roadmap for computational drug repurposing with knowledge inference.

Authors:  Daniel N Sosa; Russ B Altman
Journal:  Brief Bioinform       Date:  2022-07-18       Impact factor: 13.994

4.  SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association.

Authors:  Liang Cheng; Jie Li; Peng Ju; Jiajie Peng; Yadong Wang
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

5.  Computational analysis of multimorbidity between asthma, eczema and rhinitis.

Authors:  Daniel Aguilar; Mariona Pinart; Gerard H Koppelman; Yvan Saeys; Martijn C Nawijn; Dirkje S Postma; Mübeccel Akdis; Charles Auffray; Stéphane Ballereau; Marta Benet; Judith García-Aymerich; Juan Ramón González; Stefano Guerra; Thomas Keil; Manolis Kogevinas; Bart Lambrecht; Nathanael Lemonnier; Erik Melen; Jordi Sunyer; Rudolf Valenta; Sergi Valverde; Magnus Wickman; Jean Bousquet; Baldo Oliva; Josep M Antó
Journal:  PLoS One       Date:  2017-06-09       Impact factor: 3.240

6.  Bioinformatics Analysis Reveals Genes Involved in the Pathogenesis of Ameloblastoma and Keratocystic Odontogenic Tumor.

Authors:  Eliane Macedo Sobrinho Santos; Hércules Otacílio Santos; Ivoneth Dos Santos Dias; Sérgio Henrique Santos; Alfredo Maurício Batista de Paula; John David Feltenberger; André Luiz Sena Guimarães; Lucyana Conceição Farias
Journal:  Int J Mol Cell Med       Date:  2016-12-06

Review 7.  Teaching an Old Molecule New Tricks: Drug Repositioning for Duchenne Muscular Dystrophy.

Authors:  Libero Vitiello; Lucia Tibaudo; Elena Pegoraro; Luca Bello; Marcella Canton
Journal:  Int J Mol Sci       Date:  2019-11-30       Impact factor: 5.923

8.  Lifecourse health development: past, present and future.

Authors:  Neal Halfon; Kandyce Larson; Michael Lu; Ericka Tullis; Shirley Russ
Journal:  Matern Child Health J       Date:  2014-02

9.  Drug repositioning for orphan genetic diseases through Conserved Anticoexpressed Gene Clusters (CAGCs).

Authors:  Ivan Molineris; Ugo Ala; Paolo Provero; Ferdinando Di Cunto
Journal:  BMC Bioinformatics       Date:  2013-10-02       Impact factor: 3.169

10.  CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data.

Authors:  Yonghyun Nam; Myungjun Kim; Kyungwon Lee; Hyunjung Shin
Journal:  BMC Med Inform Decis Mak       Date:  2016-07-25       Impact factor: 2.796

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