Article (Scientific journals)
Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders
Hofmann-Apitius, Matin; Ball, Gordon; Gebel, Stephan et al.
2015In International Journal of Molecular Sciences, 16 (12), p. 29179-29206
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Keywords :
mechanism-identification; bioinformatics; genetics; graphical models; knowledge-based modeling; multiscale; neurodegeneration; data integration; disease models
Abstract :
[en] Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and machine learning have been instrumental in uncovering patterns in increasing amounts and types of different data produced by technical profiling technologies applied to clinical samples, animal models, and cellular systems. Yet, progress on unravelling biological mechanisms, causally driving diseases, has been limited, in part due to the inherent complexity of biological systems. Whereas we have witnessed progress in the areas of cancer, cardiovascular and metabolic diseases, the area of neurodegenerative diseases has proved to be very challenging. This is in part because the aetiology of neurodegenerative diseases such as Alzheimer´s disease or Parkinson´s disease is unknown, rendering it very difficult to discern early causal events. Here we describe a panel of bioinformatics and modeling approaches that have recently been developed to identify candidate mechanisms of neurodegenerative diseases based on publicly available data and knowledge. We identify two complementary strategies-data mining techniques using genetic data as a starting point to be further enriched using other data-types, or alternatively to encode prior knowledge about disease mechanisms in a model based framework supporting reasoning and enrichment analysis. Our review illustrates the challenges entailed in integrating heterogeneous, multiscale and multimodal information in the area of neurology in general and neurodegeneration in particular. We conclude, that progress would be accelerated by increasing efforts on performing systematic collection of multiple data-types over time from each individual suffering from neurodegenerative disease. The work presented here has been driven by project AETIONOMY; a project funded in the course of the Innovative Medicines Initiative (IMI); which is a public-private partnership of the European Federation of Pharmaceutical Industry Associations (EFPIA) and the European Commission (EC).
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Hofmann-Apitius, Matin;  Fraunhofer Institute for Algorithms and Scientific Computing > Department of Bioinformatics
Ball, Gordon
Gebel, Stephan ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
de Bono
Schneider, Reinhard ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Page, M.
Kodamulli, AT.
Younesi, E.
Ebeling, C.
Tegner, J.
Canard, L.
External co-authors :
yes
Language :
English
Title :
Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders
Publication date :
07 December 2015
Journal title :
International Journal of Molecular Sciences
ISSN :
1422-0067
Publisher :
Molecular Diversity Preservation International (MDPI), Basel, Switzerland
Volume :
16
Issue :
12
Pages :
29179-29206
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 14 February 2016

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