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Modules, networks and systems medicine for understanding disease and aiding diagnosis

Gustafsson, Mika (author)
Linköpings universitet,Avdelningen för kliniska vetenskaper,Hälsouniversitetet
Nestor, Colm (author)
Linköpings universitet,Avdelningen för kliniska vetenskaper,Hälsouniversitetet
Zhang, Huan (author)
Linköpings universitet,Avdelningen för kliniska vetenskaper,Hälsouniversitetet
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Barabasi, Albert-Laszlo (author)
Northeastern University, MA 02115 USA
Baranzini, Sergio (author)
University of Calif San Francisco, CA 94143 USA
Brunak, Soeren (author)
Technical University of Denmark, Denmark; University of Copenhagen, Denmark
Fan Chung, Kian (author)
University of London Imperial Coll Science Technology and Med, England
Federoff, Howard J. (author)
Georgetown University, DC 20057 USA
Gavin, Anne-Claude (author)
European Molecular Biol Lab, Germany
Meehan, Richard R. (author)
University of Edinburgh, Scotland
Picotti, Paola (author)
University of Zurich, Switzerland
Angel Pujana, Miguel (author)
Bellvitge Biomed Research Institute IDIBELL, Spain
Rajewsky, Nikolaus (author)
Max Delbruck Centre Molecular Med, Germany
Smith, Kenneth G. C. (author)
University of Cambridge, England; University of Cambridge, England
Sterk, Peter J. (author)
University of Amsterdam, Netherlands
Villoslada, Pablo (author)
Hospital Clin Barcelona, Spain; Hospital Clin Barcelona, Spain
Benson, Mikael (author)
Östergötlands Läns Landsting,Linköpings universitet,Avdelningen för kliniska vetenskaper,Hälsouniversitetet,Allergicentrum US,Barn- och ungdomskliniken i Linköping
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 (creator_code:org_t)
2014-10-17
2014
English.
In: Genome Medicine. - : BioMed Central. - 1756-994X. ; 6:82
Related links:
https://liu.diva-por... (primary) (Raw object)
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https://genomemedici...
https://urn.kb.se/re...
https://doi.org/10.1...
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  • Research review (peer-reviewed)
Abstract Subject headings
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  • Many common diseases, such as asthma, diabetes or obesity, involve altered interactions between thousands of genes. High-throughput techniques (omics) allow identification of such genes and their products, but functional understanding is a formidable challenge. Network-based analyses of omics data have identified modules of disease-associated genes that have been used to obtain both a systems level and a molecular understanding of disease mechanisms. For example, in allergy a module was used to find a novel candidate gene that was validated by functional and clinical studies. Such analyses play important roles in systems medicine. This is an emerging discipline that aims to gain a translational understanding of the complex mechanisms underlying common diseases. In this review, we will explain and provide examples of how network-based analyses of omics data, in combination with functional and clinical studies, are aiding our understanding of disease, as well as helping to prioritize diagnostic markers or therapeutic candidate genes. Such analyses involve significant problems and limitations, which will be discussed. We also highlight the steps needed for clinical implementation.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine (hsv//eng)

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