liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Modules, networks and systems medicine for understanding disease and aiding diagnosis
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
Northeastern University, MA 02115 USA.
Show others and affiliations
2014 (English)In: Genome Medicine, ISSN 1756-994X, Vol. 6, no 82Article, review/survey (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
BioMed Central , 2014. Vol. 6, no 82
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:liu:diva-112648DOI: 10.1186/s13073-014-0082-6ISI: 000344570000001PubMedID: 25473422OAI: oai:DiVA.org:liu-112648DiVA: diva2:768944
Note

Funding Agencies|European Commission under the Seventh Framework Programme, CASyM; Swedish Medical Research Council; Linkoping University

Available from: 2014-12-05 Created: 2014-12-05 Last updated: 2015-02-17

Open Access in DiVA

fulltext(1352 kB)112 downloads
File information
File name FULLTEXT01.pdfFile size 1352 kBChecksum SHA-512
fd1361703467a1133c389c10228c31d7cd1391e84978164e7b49ed2fdf6fa0b0ddcffa54c68b029f78f6f3786cea90da6e4d87f2654f28fa5cedc6199d34c833
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Gustafsson, MikaNestor, ColmZhang, HuanBenson, Mikael
By organisation
Division of Clinical SciencesFaculty of Health SciencesAllergy CenterDepartment of Paediatrics in Linköping
In the same journal
Genome Medicine
Clinical Medicine

Search outside of DiVA

GoogleGoogle Scholar
Total: 112 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 111 hits
ReferencesLink to record
Permanent link

Direct link