Title: Gene prioritization through genomic data fusion
Authors: Aerts, Stein * ×
Lambrechts, Diether *
Maity, Sunit *
Van Loo, Peter *
Coessens, Bert *
Tranchevent, Léon-Charles
De Moor, Bart
Marynen, Peter
Hassan, Bassem
Carmeliet, Peter
Moreau, Yves #
Issue Date: May-2006
Publisher: Gale Group Inc.
Series Title: Nature Biotechnology vol:24 issue:5 pages:537-544
Abstract: The identification of genes involved in health and disease remains a challenge. We describe a bioinformatics approach, together with a freely accessible, interactive and flexible software termed Endeavour, to prioritize candidate genes underlying biological processes or diseases, based on their similarity to known genes involved in these phenomena. Unlike previous approaches, ours generates distinct prioritizations for multiple heterogeneous data sources, which are then integrated, or fused, into a global ranking using order statistics. In addition, it offers the flexibility of including additional data sources. Validation of our approach revealed it was able to efficiently prioritize 627 genes in disease data sets and 76 genes in biological pathway sets, identify candidates of 16 mono- or polygenic diseases, and discover regulatory genes of myeloid differentiation. Furthermore, the approach identified a novel gene involved in craniofacial development from a 2-Mb chromosomal region, deleted in some patients with DiGeorge-like birth defects. The approach described here offers an alternative integrative method for gene discovery.
ISSN: 1087-0156
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Department of Human Genetics - miscellaneous
Molecular Genetics Section (-)
Vesalius Research Centre (-)
Molecular and Vascular Biology
Human Genome Laboratory
Laboratory of Translational Genetics (Vesalius Research Center) (+)
Laboratory of Angiogenesis and Vascular Metabolism (VIB-KU Leuven Centre for Cancer Biology) (+)
* (joint) first author
× corresponding author
# (joint) last author

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