title: A Computational Network Biology Approach to Uncover Novel Genes Related to Alzheimer's Disease.
abstract: Recent advances in the fields of genetics and genomics have enabled the identification of numerous Alzheimer's disease (AD) candidate genes, although for many of them the role in AD pathophysiology has not been uncovered yet. Concomitantly, network biology studies have shown a strong link between protein network connectivity and disease. In this chapter I describe a computational approach that, by combining local and global network analysis strategies, allows the formulation of novel hypotheses on the molecular mechanisms involved in AD and prioritizes candidate genes for further functional studies.
authors.affiliation: Laboratoire TAGC/INSERM UMR_S1090, Parc Scientifique de Luminy, Case 928, 163, Avenue de Luminy, Marseille cedex 9, 13288, France, zanzoni@tagc.univ-mrs.fr.
authors.forename: Andreas
authors.initials: A
authors.lastname: Zanzoni
mesh_terms: D000544:Alzheimer Disease / Q000235:genetics* / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D025941:Protein Interaction Mapping / Q000379:methods*