Mapping Transcription Factors in Diseases
Author Information
Author(s): Geir K. Sandve, Sveinung Gundersen, Halfdan Rydbeck, Ingrid K. Glad, Lars Holden, Marit Holden, Knut Liestøl, Trevor Clancy, Egil Ferkingstad, Morten Johansen, Vegard Nygaard, Eivind Tøstesen, Arnoldo Frigessi, Eivind Hovig
Primary Institution: University of Oslo
Hypothesis
Can a global overview of the relations between transcription factors and diseases be established?
Conclusion
The study created a resource that provides a global overview of the complex relations between transcription factors and diseases.
Supporting Evidence
- The study provides a first global statistical overview of the complex interrelationships between diseases, genes, and controlling elements.
- The methodology allows users to generate custom maps based on specified subsets of transcription factors and diseases.
- The differential disease regulome includes over 450,000 values of over-/under-representation for specific combinations of transcription factors and diseases.
Takeaway
The researchers made a big map that shows how different proteins that control genes are related to various diseases.
Methodology
A pairwise, genome-wide comparison was performed on the cartesian product of two distinct sets of annotation tracks, analyzing 446 transcription factors across 1010 diseases.
Limitations
The accuracy of the disease regulome depends mainly on the quality of the input data, which can be improved with forthcoming experimental data.
Digital Object Identifier (DOI)
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