uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Partial correlation network analyses to detect altered gene interactions in human disease: using preeclampsia as a model
Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Kvinne-barn senteret, Trondheim, Norway .
Show others and affiliations
2011 (English)In: Human Genetics, ISSN 0340-6717, E-ISSN 1432-1203, Vol. 129, no 1, 25-34 p.Article in journal (Refereed) Published
Abstract [en]

Differences in gene expression between cases and controls have been identified for a number of human diseases. However, the underlying mechanisms of transcriptional regulation remain largely unknown. Beyond comparisons of absolute or relative expression levels, disease states may be associated with alterations in the observed correlational patterns among sets of genes. Here we use partial correlation networks aiming to compare the transcriptional co-regulation for 222 genes that are differentially expressed in decidual tissues between preeclampsia (PE) cases and non-PE controls. Partial correlation coefficients (PCCs) have been calculated in cases (N = 37) and controls (N = 58) separately. For all PCCs, we tested if they were significant non-zero in the cases and controls separately. In addition, to examine if a given PCC is different between the cases and controls, we tested if the difference between two PCCs were significant non-zero. In the group with PE cases, only five PCCs were significant (FDR p value ≤ 0.05), of which none were significantly different from the PCCs in the controls. However, in the controls we identified a total of 56 statistically significant PCCs (FDR p value ≤ 0.05), of which 31 were also significantly different (FDR p value ≤ 0.05) from the PCCs in the PE cases. The identified partial correlation networks included genes that are potentially relevant for developing PE, including both known susceptibility genes (EGFL7, HES1) and novel candidate genes (CFH, NADSYN1, DBP, FIGLA). Our results might suggest that disturbed interactions, or higher order relationships between these genes play an important role in developing the disease.

Place, publisher, year, edition, pages
2011. Vol. 129, no 1, 25-34 p.
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-168838DOI: 10.1007/s00439-010-0893-5PubMedID: 20931231OAI: oai:DiVA.org:uu-168838DiVA: diva2:692834
Available from: 2014-02-02 Created: 2012-02-16 Last updated: 2014-02-06Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Johansson, Åsa
In the same journal
Human Genetics
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
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: 296 hits
ReferencesLink to record
Permanent link

Direct link