Anthony Liekens
University of Antwerp
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Publication
Featured researches published by Anthony Liekens.
Genome Biology | 2011
Anthony Liekens; Jeroen De Knijf; Walter Daelemans; Bart Goethals; Peter De Rijk; Jurgen Del-Favero
We present BioGraph, a data integration and data mining platform for the exploration and discovery of biomedical information. The platform offers prioritizations of putative disease genes, supported by functional hypotheses. We show that BioGraph can retrospectively confirm recently discovered disease genes and identify potential susceptibility genes, outperforming existing technologies, without requiring prior domain knowledge. Additionally, BioGraph allows for generic biomedical applications beyond gene discovery. BioGraph is accessible at http://www.biograph.be.
Molecular Psychiatry | 2015
Mojca Strazisar; Sophia Cammaerts; K van der Ven; Diego A. Forero; A-S Lenaerts; Annelie Nordin; Leonardo Almeida-Souza; Giulio Genovese; Véronique Timmerman; Anthony Liekens; P De Rijk; Rolf Adolfsson; Patrick Callaerts; Jurgen Del-Favero
Sequence analysis of 13 microRNA (miRNA) genes expressed in the human brain and located in genomic regions associated with schizophrenia and/or bipolar disorder, in a northern Swedish patient/control population, resulted in the discovery of two functional variants in the MIR137 gene. On the basis of their location and the allele frequency differences between patients and controls, we explored the hypothesis that the discovered variants impact the expression of the mature miRNA and consequently influence global mRNA expression affecting normal brain functioning. Using neuronal-like SH-SY5Y cells, we demonstrated significantly reduced mature miR-137 levels in the cells expressing the variant miRNA gene. Subsequent transcriptome analysis showed that the reduction in miR-137 expression led to the deregulation of gene sets involved in synaptogenesis and neuronal transmission, all implicated in psychiatric disorders. Our functional findings add to the growing data, which implicate that miR-137 has an important role in the etiology of psychiatric disorders and emphasizes its involvement in nervous system development and proper synaptic function.
American Journal of Medical Genetics | 2013
Maarten J.A. Van Den Bossche; Mojca Strazisar; Sophia Cammaerts; Anthony Liekens; Geert Vandeweyer; Veerle Depreeuw; Maria Mattheijssens; An-Sofie Lenaerts; Sonia De Zutter; Peter De Rijk; Bernard Sabbe; Jurgen Del-Favero
Over the last years, genome‐wide studies consistently showed an increased burden of rare copy number variants (CNVs) in schizophrenia patients, supporting the “common disease, rare variant” hypothesis in at least a subset of patients. We hypothesize that in families with a high burden of disease, and thus probably a high genetic load influencing disease susceptibility, rare CNVs might be involved in the etiology of schizophrenia. We performed a genome‐wide CNV analysis in the index patients of eight families with multiple schizophrenia affected members, and consecutively performed a detailed family analysis for the most relevant CNVs. One index patient showed a DRD5 containing duplication. A second index patient presented with an NRXN1 containing deletion and two adjacent duplications containing MYT1L and SNTG2. Detailed analysis in the subsequent families showed segregation of the identified CNVs. With this study we show the importance of screening high burden families for rare CNVs, which will not only broaden our knowledge concerning the molecular genetic mechanisms involved in schizophrenia but also allow the use of the obtained genetic data to provide better clinical care to these families in general and to non‐symptomatic causal CNV carriers in particular.
intelligent data analysis | 2011
Jeroen De Knijf; Anthony Liekens; Bart Goethals
In this work we describe a recommendation system based upon user-generated description (tags) of content. In particular, we describe an experimental system (GaMuSo) that consists of more than 140.000 user-defined tags for over 400.000 artists. From this data we constructed a bipartite graph, linking artists via tags to other artists. On the resulting graph we compute related artists for an initial artist of interest. In this work we describe and analyse our system and show that a straightforward recommendation approach leads to related concepts that are overly general, that is, concepts that are related to almost every other concept in the graph. Additionally, we describe a method to provide functional hypothesis for recommendations, given the user insight why concepts are related. GaMuSo is implemented as a webservice and available at: music.biograph.be.
Nature Biotechnology | 2012
Joke Reumers; Peter De Rijk; Hui Zhao; Anthony Liekens; Dominiek Smeets; John Cleary; Peter Van Loo; Maarten J.A. Van Den Bossche; Kirsten Catthoor; Bernard Sabbe; Evelyn Despierre; Ignace Vergote; Brian Hilbush; Diether Lambrechts; Jurgen Del-Favero
Revista Panamericana De Salud Publica-pan American Journal of Public Health | 2008
Roser Morante; Anthony Liekens; Walter Daelemans
Archive | 2011
Anthony Liekens; Jeroen De Knijf; Peter De Rijk; Bart Goethals; Jurgen Del-Favero
discovery science | 2011
Jeroen De Knijf; Anthony Liekens; Bart Goethals
Archive | 2011
Anthony Liekens; Knijf Jeroen De; Rijk Peter De; Bart Goethals; Jurgen Del-Favero
Journal of Applied Physics | 2011
Jeroen De Knijf; Anthony Liekens; Walter Daelemans; Peter De Rijk; Jurgen Del-Favero; Bart Goethals