Bioinformatics
Diabetes and Parkinson’s – two old friends? Unraveling potential connections between diseases by text-mining techniques
Maria Biryukov*, Serge Eifes, Janos Binder, Venkata P Satagopam, Reinhard Schneider
*Corresponding author: Maria Biryukov
OnScale Solutions Gmbl, Berlin, Germany
Luxembourg Center for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg, Luxembourg
F1000Posters 2012, 3: 49 (poster) [English]
Poster [4.14 MB]
Presented at
6th BeNeLux Bioinformatics Conference 2011,
12 - 13 Dec 2011, B31
It has been hypothesized that Parkinson’s Disease (PD) and Diabetes Mellitus (DM) share molecular mechanisms. However this relationship has not been confirmed yet by the biomedical community. Moreover, little is known about the mechanisms that might be responsible for the link between these two diseases.
The goal of the ongoing study that we present here is to investigate the question of relationship between PD and DM using text mining and data integration approaches.
Comparison of the disease profiles does not yield statistically confirmed evidence of the direct correlation between PD and DM. However, from the pathways point of view, significantly important proteins/genes of both profiles are implicated in the highly ranked pathways shared by the diseases in question.
To better delineate the mechanistic commonalities between PD and DM, we plan to differentiate between types I and II of DM. We will also intergrate the network based methods to further investigate the connections.
No relevant competing interests disclosed.
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